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\n  \n 2023\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n An Industrial Manufacturing Dataset together with Anomaly Detection Results integrated in an Open & Stand Alone Sharing Platform for Sustainable Replication.\n \n \n \n \n\n\n \n Hoelzl, G.; Fleischmann, B.; Soller, S.; Zausinger, J.; and Kranz, M.\n\n\n \n\n\n\n In The Ninth International Conference on Big Data, Small Data, Linked Data and Open Data (AllData23), April 24 - April 28, 2023, Venice, Italy, pages 11–18, Aprl 2023. \n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 7 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{alldata23,\n\tauthor = {Gerold Hoelzl and Bastian Fleischmann and Sebastian Soller and Jonas Zausinger and Matthias Kranz},\n\tbooktitle = {The Ninth International Conference on Big Data, Small Data, Linked Data and Open Data (AllData23), April 24 - April 28, 2023, Venice, Italy},\n\tdate-added = {2023-04-28 14:43:26 +0200},\n\tdate-modified = {2023-04-28 14:48:42 +0200},\n\tisbn = {978-1-68558-041-4},\n\tmonth = {Aprl},\n\tpages = {11--18},\n\ttitle = {An Industrial Manufacturing Dataset together with Anomaly Detection Results integrated in an Open \\& Stand Alone Sharing Platform for Sustainable Replication},\n\turl = {/publications/2023_alldata.pdf},\n\tyear = {2023},\n\tbdsk-url-1 = {/publications/2013_ADAPTIVE.pdf}}\n\n
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\n  \n 2022\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n \n AnNoSense 2022 – 1st International Workshop on Anomaly and Novelty driven Self-Organizing Sensor Data Systems - Preface.\n \n \n \n \n\n\n \n Hoelzl, G.\n\n\n \n\n\n\n In 2022. \n \n\n\n\n
\n\n\n\n \n \n \"AnNoSensePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{AnNoSense22,\n\tauthor = {Gerold Hoelzl},\n\tdate-added = {2023-02-03 09:23:00 +0100},\n\tdate-modified = {2023-02-03 09:29:00 +0100},\n\ttitle = {{A}n{N}o{S}ense 2022 -- 1st {I}nternational {W}orkshop on {A}nomaly and {N}ovelty driven {S}elf-{O}rganizing {S}ensor {D}ata {S}ystems - {P}reface},\n\turl = {/publications/2022_PrefaceAnNoSense22.pdf},\n\tyear = {2022},\n\tbdsk-url-1 = {/publications/2022_PrefaceAnNoSense22.pdf}}\n\n
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\n \n\n \n \n \n \n \n \n Time Anomalies in Virtual Reality - Impact of Manipulated Zeitgebers on Individual Human Time Perception.\n \n \n \n \n\n\n \n Fischer, S.; Breitsameter, L.; and Hoelzl, G.\n\n\n \n\n\n\n In Proceedings of the 2022 International Conference on Embedded Wireless Systems and Networks, of EWSN '22, pages 232–237, USA, 2022. Junction Publishing\n \n\n\n\n
\n\n\n\n \n \n \"TimePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{ewsn2022_2,\n\tabstract = {Virtual reality (VR) technologies are becoming more and more present in recent years and are no longer limited to the well-known use case of video games, as they are also expanding their way into social networks, digital marketplaces and productive work. The more time people spend in VR,the more important the question becomes, whether a computergenerated reality can also influence human time perception. This work follows the goal of investigating the impact of zeitgebers, in particular the movement speed of a virtual sun, on human time judments in VR. The development platform Unity is used to create different VR worlds with varying sun movement speeds. In a user study with 12 participants, each person is immersed twice for a period of 10 minutes, and at the end of each scenario, they must estimate, how much time they think they have spent in the specific VR world. The evaluation reveals a trend, that the duration in a static world, without any visual objects, is estimated longer, compared to a virtual island environment with sun movement. When comparing an island world with different sun speeds, the estimated duration when experiencing a faster movement of the sun, turns out longer. The study has proven, that the presence of a virtual moving sun increases the estimation accuracy significantly, compared to conditions where no sun is visible or moving. The analysis shows no significant differences, when comparing the submitted duration estimates from each participant.},\n\taddress = {USA},\n\tauthor = {Fischer, Stefan and Breitsameter, Lucas and Hoelzl, Gerold},\n\tbooktitle = {Proceedings of the 2022 International Conference on Embedded Wireless Systems and Networks},\n\tdate-added = {2023-02-03 09:18:58 +0100},\n\tdate-modified = {2023-02-03 10:01:51 +0100},\n\tkeywords = {Zeitgeber, Virtual Reality, Time Perception, HCI},\n\tlocation = {Linz, Austria},\n\tnumpages = {6},\n\tpages = {232--237},\n\tpublisher = {Junction Publishing},\n\tseries = {EWSN '22},\n\ttitle = {Time Anomalies in Virtual Reality - Impact of Manipulated Zeitgebers on Individual Human Time Perception},\n\turl = {/publications/2022_ewsn_Time.pdf},\n\tyear = {2022},\n\tbdsk-url-1 = {/publications/2022_ewsn_Time.pdf}}\n\n
\n
\n\n\n
\n Virtual reality (VR) technologies are becoming more and more present in recent years and are no longer limited to the well-known use case of video games, as they are also expanding their way into social networks, digital marketplaces and productive work. The more time people spend in VR,the more important the question becomes, whether a computergenerated reality can also influence human time perception. This work follows the goal of investigating the impact of zeitgebers, in particular the movement speed of a virtual sun, on human time judments in VR. The development platform Unity is used to create different VR worlds with varying sun movement speeds. In a user study with 12 participants, each person is immersed twice for a period of 10 minutes, and at the end of each scenario, they must estimate, how much time they think they have spent in the specific VR world. The evaluation reveals a trend, that the duration in a static world, without any visual objects, is estimated longer, compared to a virtual island environment with sun movement. When comparing an island world with different sun speeds, the estimated duration when experiencing a faster movement of the sun, turns out longer. The study has proven, that the presence of a virtual moving sun increases the estimation accuracy significantly, compared to conditions where no sun is visible or moving. The analysis shows no significant differences, when comparing the submitted duration estimates from each participant.\n
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\n \n\n \n \n \n \n \n \n Analysis of Common Prediction Models for a Fuzzy Connected Source Target Production Based on Time Dependent Significance.\n \n \n \n \n\n\n \n Soller, S.; Hoelzl, G.; Greiler, T.; and Kranz, M.\n\n\n \n\n\n\n In Proceedings of the 2022 International Conference on Embedded Wireless Systems and Networks, of EWSN '22, pages 226–231, USA, 2022. Junction Publishing\n \n\n\n\n
\n\n\n\n \n \n \"AnalysisPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{ewsn2022_1,\n\tabstract = {In an industrial setup quality measurements are taken in multiple steps of each production chain. Often a single product is evaluated for several steps in the production, but even more often pooled tests are done, to evaluate the quality of the used material or a charge. Instead of the traditional classification of sensor measurement to quality on a single process step, the question arises, how these steps interact with each other. Is it possible to foresee the faults of later production steps, by analyzing data gathered earlier? Especially in mass production this leads to unclear and fuzzy relationships. The material quality might not be known for every work piece produced but controlled in a fixed time interval. The challenge of these processes is, to correctly connect ground truth to feature vector by their temporal connection. In this work we show multiple steps to reach a better classification and insight into the production process. We gather data from a real-world environment and as a first shot, use common machine learning methods, which are available through public libraries. Therefore, we created a simple connection between the material trace elements and quality inspection. Further data analysis suggested the influence of the exact time of the quality inspection related to the measurement of trace elements. We performed a significance test, to proof the difference of time groups to each other. The identical machine learning methods were applied to these time groups and an improvement of classification accuracy of 2\\% could be detected. For feature approaches we propose an automatic split system, to find time dependent groups inside the data and split the data accordingly.},\n\taddress = {USA},\n\tauthor = {Soller, Sebastian and Hoelzl, Gerold and Greiler, Tobias and Kranz, Matthias},\n\tbooktitle = {Proceedings of the 2022 International Conference on Embedded Wireless Systems and Networks},\n\tdate-added = {2023-02-03 09:18:58 +0100},\n\tdate-modified = {2023-02-03 10:01:39 +0100},\n\tkeywords = {Reliability Keywords Industry 40, Machine Learning, Performance, Maintenance Prediction},\n\tlocation = {Linz, Austria},\n\tnumpages = {6},\n\tpages = {226--231},\n\tpublisher = {Junction Publishing},\n\tseries = {EWSN '22},\n\ttitle = {Analysis of Common Prediction Models for a Fuzzy Connected Source Target Production Based on Time Dependent Significance},\n\turl = {/publications/2022_ewsn_Fuzzy.pdf},\n\tyear = {2022},\n\tbdsk-url-1 = {/publications/2022_ewsn_Fuzzy.pdf}}\n\n
\n
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\n In an industrial setup quality measurements are taken in multiple steps of each production chain. Often a single product is evaluated for several steps in the production, but even more often pooled tests are done, to evaluate the quality of the used material or a charge. Instead of the traditional classification of sensor measurement to quality on a single process step, the question arises, how these steps interact with each other. Is it possible to foresee the faults of later production steps, by analyzing data gathered earlier? Especially in mass production this leads to unclear and fuzzy relationships. The material quality might not be known for every work piece produced but controlled in a fixed time interval. The challenge of these processes is, to correctly connect ground truth to feature vector by their temporal connection. In this work we show multiple steps to reach a better classification and insight into the production process. We gather data from a real-world environment and as a first shot, use common machine learning methods, which are available through public libraries. Therefore, we created a simple connection between the material trace elements and quality inspection. Further data analysis suggested the influence of the exact time of the quality inspection related to the measurement of trace elements. We performed a significance test, to proof the difference of time groups to each other. The identical machine learning methods were applied to these time groups and an improvement of classification accuracy of 2% could be detected. For feature approaches we propose an automatic split system, to find time dependent groups inside the data and split the data accordingly.\n
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\n \n\n \n \n \n \n \n \n Detecting Seasonal Dependencies in Production Lines for Forecast Optimization.\n \n \n \n \n\n\n \n Hoelzl, G.; Soller, S.; and Kranz, M.\n\n\n \n\n\n\n Big Data Research, 30: 100335. 2022.\n \n\n\n\n
\n\n\n\n \n \n \"DetectingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 6 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{HOELZL2022100335,\n\tauthor = {Gerold Hoelzl and Sebastian Soller and Matthias Kranz},\n\tdate-added = {2022-08-04 09:28:31 +0200},\n\tdate-modified = {2022-08-04 09:40:29 +0200},\n\tdoi = {https://doi.org/10.1016/j.bdr.2022.100335},\n\tissn = {2214-5796},\n\tjournal = {Big Data Research},\n\tkeywords = {Data mining, Real-time system, Maintenance prediction, Time series forecast, Seasonality analysis, Clustering},\n\tpages = {100335},\n\ttitle = {Detecting Seasonal Dependencies in Production Lines for Forecast Optimization},\n\turl = {/publications/2022_BigDataResearch.pdf},\n\tvolume = {30},\n\tyear = {2022},\n\tbdsk-url-1 = {https://www.sciencedirect.com/science/article/pii/S2214579622000296},\n\tbdsk-url-2 = {https://doi.org/10.1016/j.bdr.2022.100335}}\n\n
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\n  \n 2021\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n GuideCopter - A Precise Drone-Based Haptic Guidance Interface for Blind or Visually Impaired People.\n \n \n \n \n\n\n \n Huppert, F.; Hoelzl, G.; and Kranz, M.\n\n\n \n\n\n\n In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, of CHI '21, New York, NY, USA, 2021. Association for Computing Machinery\n \n\n\n\n
\n\n\n\n \n \n \"GuideCopterPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 6 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{Chi21,\n\taddress = {New York, NY, USA},\n\tarticleno = {218},\n\tauthor = {Huppert, Felix and Hoelzl, Gerold and Kranz, Matthias},\n\tbooktitle = {Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems},\n\tdate-added = {2021-05-11 10:46:05 +0200},\n\tdate-modified = {2021-05-11 11:02:55 +0200},\n\tdoi = {10.1145/3411764.3445676},\n\tisbn = {9781450380966},\n\tkeywords = {tracking, visually challenged people, guidance, haptic interface, localization},\n\tlocation = {Yokohama, Japan},\n\tnumpages = {14},\n\tpublisher = {Association for Computing Machinery},\n\tseries = {CHI '21},\n\ttitle = {GuideCopter - A Precise Drone-Based Haptic Guidance Interface for Blind or Visually Impaired People},\n\turl = {/publications/2021_CHI.pdf},\n\tyear = {2021},\n\tbdsk-url-1 = {https://doi.org/10.1145/3411764.3445676}}\n\n
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\n \n\n \n \n \n \n \n \n Evaluation and Adaption of Maintenance Prediction Methods in Mixed Production Line Setups based on Anomaly Detection.\n \n \n \n \n\n\n \n Soller, S.; Fleischmann, B.; Kranz, M.; and Hoelzl, G.\n\n\n \n\n\n\n In 2021 International Workshop on Pervasive Information Flow (PerFlow 2021) at 2021 IEEE International Conference on Pervasive Computing and Communications (Percom 2021), Kassel, Germany, pages 520-525, March 2021. \n \n\n\n\n
\n\n\n\n \n \n \"EvaluationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 6 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{2021PerflowAnomalyDetection,\n\tauthor = {Sebastian Soller and Bastian Fleischmann and Matthias Kranz and Gerold Hoelzl},\n\tbooktitle = {2021 International Workshop on Pervasive Information Flow (PerFlow 2021) at 2021 IEEE International Conference on Pervasive Computing and Communications (Percom 2021), Kassel, Germany},\n\tdate-added = {2021-02-13 16:58:52 +0100},\n\tdate-modified = {2021-06-01 14:32:48 +0200},\n\tdoi = {10.1109/PerComWorkshops51409.2021.9430995},\n\tmonth = {March},\n\tpages = {520-525},\n\ttitle = {Evaluation and Adaption of Maintenance Prediction Methods in Mixed Production Line Setups based on Anomaly Detection},\n\turl = {/publications/2021_Perflow.pdf},\n\tyear = {2021},\n\tbdsk-url-1 = {/publications/2021_Perflow.pdf}}\n\n
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\n  \n 2020\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n Do You Feel Like Flying? A Study of Flying Perception in Virtual Reality for Future Game Development.\n \n \n \n \n\n\n \n Mashal, S.; Kranz, M.; and Hoelzl, G.\n\n\n \n\n\n\n IEEE Computer Graphics and Applications, 40(4): 51-61. 2020.\n \n\n\n\n
\n\n\n\n \n \n \"DoPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 12 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{9099981,\n\tauthor = {S. {Mashal} and M. {Kranz} and G. {Hoelzl}},\n\tdate-added = {2020-12-23 09:19:35 +0100},\n\tdate-modified = {2020-12-27 17:43:03 +0100},\n\tdoi = {10.1109/MCG.2020.2997870},\n\tjournal = {IEEE Computer Graphics and Applications},\n\tnumber = {4},\n\tpages = {51-61},\n\ttitle = {Do You Feel Like Flying? A Study of Flying Perception in Virtual Reality for Future Game Development},\n\turl = {/publications/2020_IEEEComputerGraphics.pdf},\n\tvolume = {40},\n\tyear = {2020},\n\tbdsk-url-1 = {/publications/2020_IEEEComputerGraphics.pdf},\n\tbdsk-url-2 = {https://doi.org/10.1109/MCG.2020.2997870}}\n\n
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\n \n\n \n \n \n \n \n \n Adaptive Error Prediction for Production Lines with Unknown Dependencies.\n \n \n \n \n\n\n \n Soller, S.; Kranz, M.; and Hoelzl, G.\n\n\n \n\n\n\n In Proceedings of the 5th International Conference on Real-time Intelligent Systems (RTIS'20), Biarritz, France Best Paper Award, of WIMS 2020, pages 227–234, New York, NY, USA, 2020. Association for Computing Machinery\n \n\n\n\n
\n\n\n\n \n \n \"AdaptivePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{RTIS2020,\n\tabstract = {Forecasting or predicting errors can dramatically reduce the downtime of machines in industrial settings and even allow to take counteractions long before the error affects the production system. A forecast system to predict upcoming critical values for identical production lines under different environmental circumstances is proposed. We focus on errors that result in multiple erroneous work pieces. These error patterns need manual corrections by a machine controller. An analysis of the system observed gathered the information about the types of errors that are observable. 30% of errors are measurement errors or single faulty work-pieces which are not influenced by previous work-pieces and do not show any indication to preceding work-pieces. These errors do not need any type of action by the machine controller. 70% of the observed errors are continuous system deviations which lead to multiple erroneous work-pieces in order or a high percentage of erroneous work-pieces in an observed time frame.We observe multiple production lines which consist of identical machines and produce the same product type. For the forecast of errors, we use the ARIMA, Holt and Holt-Winter method. Each production line and product type combination showed different results for the different forecast methods. We implemented a dynamic system that automatically detects the seasonality and trend of the specific combination to assign a correct forecast method and model. For 40 combinations of production line and product type the holt-winter algorithm performed best for 14, the holt-winter without seasonal or trend component performed best for 13 combinations and the holt-winter with only a trend component performed best for 10 setups. 3 combinations did not have a distinct best method for all observed results. By selecting the correct forecast methods, we were able to boost the forecast accuracy for the overall system over each single forecast method.},\n\taddress = {New York, NY, USA},\n\tauthor = {Sebastian Soller and Matthias Kranz and Gerold Hoelzl},\n\tbooktitle = {Proceedings of the 5th International Conference on Real-time Intelligent Systems (RTIS'20), Biarritz, France Best Paper Award},\n\tdate-added = {2020-08-27 17:03:51 +0200},\n\tdate-modified = {2020-12-23 09:22:07 +0100},\n\tdoi = {10.1145/3405962.3405994},\n\tisbn = {9781450375429},\n\tkeywords = {time series forecast, real-time system, seasonality analysis, data mining, maintenance prediction},\n\tlocation = {Biarritz, France},\n\tnumpages = {8},\n\tpages = {227--234},\n\tpublisher = {Association for Computing Machinery},\n\tseries = {WIMS 2020},\n\ttitle = {Adaptive Error Prediction for Production Lines with Unknown Dependencies},\n\turl = {/publications/2020_RTIS.pdf},\n\tyear = {2020},\n\tbdsk-url-1 = {https://doi.org/10.1145/3405962.3405994},\n\tbdsk-url-2 = {/publications/2020_RTIS.pdf}}\n\n
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\n Forecasting or predicting errors can dramatically reduce the downtime of machines in industrial settings and even allow to take counteractions long before the error affects the production system. A forecast system to predict upcoming critical values for identical production lines under different environmental circumstances is proposed. We focus on errors that result in multiple erroneous work pieces. These error patterns need manual corrections by a machine controller. An analysis of the system observed gathered the information about the types of errors that are observable. 30% of errors are measurement errors or single faulty work-pieces which are not influenced by previous work-pieces and do not show any indication to preceding work-pieces. These errors do not need any type of action by the machine controller. 70% of the observed errors are continuous system deviations which lead to multiple erroneous work-pieces in order or a high percentage of erroneous work-pieces in an observed time frame.We observe multiple production lines which consist of identical machines and produce the same product type. For the forecast of errors, we use the ARIMA, Holt and Holt-Winter method. Each production line and product type combination showed different results for the different forecast methods. We implemented a dynamic system that automatically detects the seasonality and trend of the specific combination to assign a correct forecast method and model. For 40 combinations of production line and product type the holt-winter algorithm performed best for 14, the holt-winter without seasonal or trend component performed best for 13 combinations and the holt-winter with only a trend component performed best for 10 setups. 3 combinations did not have a distinct best method for all observed results. By selecting the correct forecast methods, we were able to boost the forecast accuracy for the overall system over each single forecast method.\n
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\n \n\n \n \n \n \n \n \n Predicting Machine Errors based on Adaptive Sensor Data Drifts in a Real World Industrial Setup.\n \n \n \n \n\n\n \n Soller, S.; Hoelzl, G.; and Kranz, M.\n\n\n \n\n\n\n In Proceedings of the $18^{th}$ Annual IEEE International Conference on Pervasive Computing and Communications (PerCom2020), March 23-27 2020. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"PredictingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 6 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Percom2020,\n\tauthor = {Sebastian Soller and Gerold Hoelzl and Matthias Kranz},\n\tbooktitle = {Proceedings of the $18^{th}$ Annual IEEE International Conference on Pervasive Computing and Communications (PerCom2020)},\n\tdate-added = {2020-02-03 17:24:58 +0100},\n\tdate-modified = {2020-12-27 17:42:24 +0100},\n\tdoi = {10.1109/PerCom45495.2020.9127357},\n\tmonth = {March 23-27},\n\tpublisher = {IEEE},\n\ttitle = {Predicting Machine Errors based on Adaptive Sensor Data Drifts in a Real World Industrial Setup},\n\turl = {/publications/2020_PERCOM.pdf},\n\tyear = {2020},\n\tbdsk-url-1 = {/publications/2020_PERCOM.pdf},\n\tbdsk-url-2 = {https://doi.org/10.1109/PerCom45495.2020.9127357}}\n\n
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\n  \n 2019\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n Design Different: Pen and Paper for Laser Cutting.\n \n \n \n \n\n\n \n Huppert, F.; Hölzl, G.; and Kranz, M.\n\n\n \n\n\n\n IEEE Pervasive Computing, 18(4): 29-37. Oct 2019.\n \n\n\n\n
\n\n\n\n \n \n \"DesignPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 9 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{8928977,\n\tauthor = {F. {Huppert} and G. {H{\\"o}lzl} and M. {Kranz}},\n\tdate-added = {2020-12-23 09:19:35 +0100},\n\tdate-modified = {2020-12-23 09:19:35 +0100},\n\tdoi = {10.1109/MPRV.2019.2938714},\n\tissn = {1558-2590},\n\tjournal = {IEEE Pervasive Computing},\n\tkeywords = {Solid modeling;Prototypes;Fabrication;Laser beam cutting},\n\tmonth = {Oct},\n\tnumber = {4},\n\tpages = {29-37},\n\ttitle = {Design Different: Pen and Paper for Laser Cutting},\n\turl = {/publications/2019_IEEEPervasiveComputing.pdf},\n\tvolume = {18},\n\tyear = {2019},\n\tbdsk-url-1 = {/publications/2019_IEEEPervasiveComputing.pdf},\n\tbdsk-url-2 = {https://doi.org/10.1109/MPRV.2019.2938714}}\n\n
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\n \n\n \n \n \n \n \n \n Valkyrie Project: Flying Immersion in Virtual Reality.\n \n \n \n \n\n\n \n Mashal, S.; Hoelzl, G.; and Kranz, M.\n\n\n \n\n\n\n In 2019 11th IEEE International Conference on Games and Virtual Worlds for Serious Applications (VS-GAMES), September 2019. IEEE\n \n\n\n\n
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@inproceedings{vs-games19,\n\tauthor = {Soroosh Mashal and Gerold Hoelzl and Matthias Kranz},\n\tbooktitle = {2019 11th IEEE International Conference on Games and Virtual Worlds for Serious Applications (VS-GAMES)},\n\tdate-added = {2019-09-09 10:03:28 +0200},\n\tdate-modified = {2020-12-27 17:44:00 +0100},\n\tdoi = {10.1109/VS-Games.2019.8864545},\n\tmonth = {September},\n\torganization = {IEEE},\n\ttitle = {Valkyrie Project: Flying Immersion in Virtual Reality},\n\turl = {/publications/2019_VSGAMES.pdf},\n\tyear = {2019},\n\tbdsk-url-1 = {/publications/2019_VSGAMES.pdf},\n\tbdsk-url-2 = {https://doi.org/10.1109/VS-Games.2019.8864545}}\n\n
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\n \n\n \n \n \n \n \n \n Would I Lie to You - Would You Notice?.\n \n \n \n \n\n\n \n Huppert, F.; Kranz, M.; and Hoelzl, G.\n\n\n \n\n\n\n In Proceedings of the $10^{th}$ Annual International Conference on Mobile Computing, Applications, and Services (MobiCASE19), of Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, Hangzhou, China, June 14-15 2019. Springer\n \n\n\n\n
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@inproceedings{MobiCase2019,\n\taddress = {Hangzhou, China},\n\tauthor = {Felix Huppert and Matthias Kranz and Gerold Hoelzl},\n\tbooktitle = {Proceedings of the $10^{th}$ Annual International Conference on Mobile Computing, Applications, and Services (MobiCASE19)},\n\tdate-added = {2019-06-19 09:16:22 +0200},\n\tdate-modified = {2020-12-27 17:45:01 +0100},\n\tdoi = {10.1007/978-3-030-28468-8_17},\n\tmonth = {June 14-15},\n\towner = {Gerold},\n\tpublisher = {Springer},\n\tseries = {Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering},\n\ttitle = {Would {I} {L}ie to {Y}ou - {W}ould {Y}ou {N}otice?},\n\turl = {/publications/2019_MOBICASE.pdf},\n\tyear = {2019},\n\tbdsk-url-1 = {/publications/2019_MOBICASE.pdf},\n\tbdsk-url-2 = {https://doi.org/10.1007/978-3-030-28468-8_17}}\n\n
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\n  \n 2018\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Biofeedback in the Wild - A SmartWatch Approach.\n \n \n \n \n\n\n \n Pilgram, N.; Mohamed, A.; Kranz, M.; and Hoelzl, G.\n\n\n \n\n\n\n In The Fourth IEEE International Workshop on Sensing Systems and Applications Using Wrist Worn Smart Devices, at 2018 IEEE International Conference on Pervasive Computing and Communications (Percom 2018), Athen, Greece, pages 142–147, March 2018. \n \n\n\n\n
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@inproceedings{2018BioFeedback,\n\tauthor = {Nico Pilgram and Ahmed Mohamed and Matthias Kranz and Gerold Hoelzl},\n\tbooktitle = {The Fourth IEEE International Workshop on Sensing Systems and Applications Using Wrist Worn Smart Devices, at 2018 IEEE International Conference on Pervasive Computing and Communications (Percom 2018), Athen, Greece},\n\tdate-added = {2018-01-15 09:35:15 +0000},\n\tdate-modified = {2020-12-30 15:35:38 +0100},\n\tdoi = {10.1109/PERCOMW.2018.8480392},\n\tmonth = {March},\n\tpages = {142--147},\n\ttitle = {Biofeedback in the Wild - A SmartWatch Approach},\n\turl = {/publications/2018_WRISTSENSE.pdf},\n\tyear = {2018},\n\tbdsk-url-1 = {/publications/2018_WRISTSENSE.pdf},\n\tbdsk-url-2 = {https://doi.org/10.1109/PERCOMW.2018.8480392}}\n\n
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\n  \n 2017\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Rendering 3D Virtual Objects in Mid-Air Using Controlled Magnetic Fields.\n \n \n \n \n\n\n \n Adel, A.; Seif, M. A.; Hoelzl, G.; Kranz, M.; Abdennadher, S.; and Khalil, I. S. M.\n\n\n \n\n\n\n In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, Canada, pages 349 – 356, 2017. IEEE/RSJ\n \n\n\n\n
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@inproceedings{iros17,\n\tauthor = {Alaa Adel and Mohamed Abou Seif and Gerold Hoelzl and Matthias Kranz and Slim Abdennadher and Islam S. M. Khalil},\n\tbooktitle = {2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, Canada},\n\tdate-added = {2017-06-27 19:12:55 +0000},\n\tdate-modified = {2020-12-27 17:51:40 +0100},\n\tdoi = {10.1109/IROS.2017.8202179},\n\tpages = {349 -- 356},\n\tpublisher = {IEEE/RSJ},\n\ttitle = {Rendering {3D} Virtual Objects in Mid-Air Using Controlled Magnetic Fields},\n\turl = {/publications/2017_IROS.pdf},\n\tyear = {2017},\n\tbdsk-url-1 = {/publications/2017_IROS.pdf},\n\tbdsk-url-2 = {https://doi.org/10.1109/IROS.2017.8202179}}\n\n
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\n \n\n \n \n \n \n \n \n Size Does Matter - Positioning on the Wrist A Comparative Study: SmartWatch vs. SmartPhone.\n \n \n \n \n\n\n \n Hoelzl, G.; Kranz, M.; Schmid, A.; Halbmayer, P.; and Ferscha, A.\n\n\n \n\n\n\n In The Third IEEE International Workshop on Sensing Systems and Applications Using Wrist Worn Smart Devices, at 2017 IEEE International Conference on Pervasive Computing and Communications (Percom 2017), Kona, Big Island, Hawaii, USA, pages 703 – 708, March 2017. \n \n\n\n\n
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@inproceedings{2017SizeMatters,\n\tauthor = {Gerold Hoelzl and Matthias Kranz and Andreas Schmid and Peter Halbmayer and Alois Ferscha},\n\tbooktitle = {The Third IEEE International Workshop on Sensing Systems and Applications Using Wrist Worn Smart Devices, at 2017 IEEE International Conference on Pervasive Computing and Communications (Percom 2017), Kona, Big Island, Hawaii, USA},\n\tdate-added = {2017-02-13 11:36:28 +0000},\n\tdate-modified = {2020-12-27 17:48:17 +0100},\n\tdoi = {10.1109/PERCOMW.2017.7917649},\n\tmonth = {March},\n\tpages = {703 -- 708},\n\ttitle = {Size Does Matter - Positioning on the Wrist A Comparative Study: SmartWatch vs. SmartPhone},\n\turl = {/publications/2017_WRISTSENSE.pdf},\n\tyear = {2017},\n\tbdsk-url-1 = {/publications/2017_WRISTSENSE.pdf},\n\tbdsk-url-2 = {https://doi.org/10.1109/PERCOMW.2017.7917649}}\n\n
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\n  \n 2016\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Zielorientiertes Sensing im Pervasive Computing.\n \n \n \n \n\n\n \n Hoelzl, G.\n\n\n \n\n\n\n In Hölldobler, S., editor(s), Ausgezeichnete Informatikdissertationen 2015, volume D-16, of Lecture Notes in Informatics (LNI). Gesellschaft für Informatik e.V. (GI), Bonn, 2016.\n \n\n\n\n
\n\n\n\n \n \n \"ZielorientiertesPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@incollection{diss2015,\n\taddress = {Bonn},\n\tauthor = {Gerold Hoelzl},\n\tbooktitle = {Ausgezeichnete Informatikdissertationen 2015},\n\tdate-added = {2020-12-23 09:19:52 +0100},\n\tdate-modified = {2020-12-27 17:53:30 +0100},\n\teditor = {Steffen H{\\"o}lldobler},\n\tkeywords = {ISBN: 978-3-88579-975-7},\n\tpublisher = {Gesellschaft f{\\"u}r Informatik e.V. (GI)},\n\tseries = {Lecture Notes in Informatics (LNI)},\n\ttitle = {Zielorientiertes {S}ensing im {P}ervasive {C}omputing},\n\turl = {/publications/2015_GI_Diss.pdf},\n\tvolume = {D-16},\n\tyear = {2016},\n\tbdsk-url-1 = {/publications/2015_GI_Diss.pdf}}\n\n
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\n  \n 2014\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n Goal Oriented Smart Watches for Cyber Physical Superorganisms.\n \n \n \n \n\n\n \n Hoelzl, G.; Ferscha, A.; Halbmayer, P.; and Pereira, W.\n\n\n \n\n\n\n In Workshop on Collective Wearables: The Superorgansim of Massive Collective Wearables, at 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2014), Seattle, USA, pages 1071 – 1076, September 2014. \n \n\n\n\n
\n\n\n\n \n \n \"GoalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{goalOrientedSmartWatches,\n\tauthor = {Gerold Hoelzl and Alois Ferscha and Peter Halbmayer and Welma Pereira},\n\tbooktitle = {Workshop on Collective Wearables: The Superorgansim of Massive Collective Wearables, at 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2014), Seattle, USA},\n\tdate-added = {2014-07-21 07:58:45 +0000},\n\tdate-modified = {2020-12-28 09:15:23 +0100},\n\tdoi = {doi.org/10.1145/2638728.2659395},\n\tmonth = {September},\n\tpages = {1071 -- 1076},\n\ttitle = {Goal Oriented Smart Watches for Cyber Physical Superorganisms},\n\turl = {/publications/2014_UBICOMP.pdf},\n\tyear = {2014},\n\tbdsk-url-1 = {https://doi.org/10.1145/2638728.2659395}}\n\n
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\n \n\n \n \n \n \n \n \n A Dynamic Service Module Oriented Framework for Real-World Situation Representation.\n \n \n \n \n\n\n \n Halbmayer, P.; Hoelzl, G.; and Ferscha, A.\n\n\n \n\n\n\n In The 6th International Conference on Adaptive and Self-Adaptive Systems and Applications, ADAPTIVE 2014, May 25 - 29, Venice, Italy, pages 79–84, March 2014. \n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pervasive:dynfram2014,\n\tauthor = {Peter Halbmayer and Gerold Hoelzl and Alois Ferscha},\n\tbooktitle = {The 6th International Conference on Adaptive and Self-Adaptive Systems and Applications, ADAPTIVE 2014, May 25 - 29, Venice, Italy},\n\tdate-added = {2014-03-05 10:33:40 +0000},\n\tdate-modified = {2020-12-28 09:19:23 +0100},\n\tmonth = {March},\n\tpages = {79--84},\n\ttitle = {A Dynamic Service Module Oriented Framework for Real-World Situation Representation},\n\turl = {/publications/2014_ADAPTIVE.pdf},\n\tyear = {2014},\n\tbdsk-url-1 = {/publications/2014_ADAPTIVE.pdf}}\n\n
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\n \n\n \n \n \n \n \n \n On the Utilization of Smart Gadgets for Energy Aware Sensitive Behavior.\n \n \n \n \n\n\n \n Hoelzl, G.; Halbmayer, P.; Rogner, H.; Xue, C.; and Ferscha, A.\n\n\n \n\n\n\n In The 8th International Conference on Digital Society, ICDS 2014, March 23 - 27, Barcelona, Spain, pages 192 – 198, March 2014. \n \n\n\n\n
\n\n\n\n \n \n \"OnPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pervasive:hoelzlon,\n\tauthor = {Gerold Hoelzl and Peter Halbmayer and Harald Rogner and Chen Xue and Alois Ferscha},\n\tbooktitle = {The 8th International Conference on Digital Society, ICDS 2014, March 23 - 27, Barcelona, Spain},\n\tdate-added = {2014-01-13 10:47:10 +0000},\n\tdate-modified = {2020-12-28 09:16:40 +0100},\n\tmonth = {March},\n\tpages = {192 -- 198},\n\ttitle = {On the Utilization of Smart Gadgets for Energy Aware Sensitive Behavior},\n\turl = {/publications/2014_ICDS.pdf},\n\tyear = {2014},\n\tbdsk-url-1 = {/publications/2014_ICDS.pdf}}\n\n
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\n  \n 2013\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n \n Enabling Dynamic Sensor Configuration and Cooperation in Opportunistic Activity Recognition Systems.\n \n \n \n \n\n\n \n Kurz, M.; Hoelzl, G.; and Ferscha, A.\n\n\n \n\n\n\n International Journal of Distributed Sensor Networks, 2013: 13. June 2013.\n \n\n\n\n
\n\n\n\n \n \n \"EnablingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{pervasive:kurzenabling,\n\tauthor = {Marc Kurz and Gerold Hoelzl and Alois Ferscha},\n\tdate-added = {2020-12-23 09:19:35 +0100},\n\tdate-modified = {2020-12-28 11:06:31 +0100},\n\tdoi = {10.1155/2013/652385},\n\tjournal = {International Journal of Distributed Sensor Networks},\n\tmonth = {June},\n\tpages = {13},\n\ttitle = {Enabling Dynamic Sensor Configuration and Cooperation in Opportunistic Activity Recognition Systems},\n\turl = {/publications/2013_HINDAWI.pdf},\n\tvolume = {2013},\n\tyear = {2013},\n\tbdsk-url-1 = {/publications/2013_HINDAWI.pdf},\n\tbdsk-url-2 = {https://doi.org/10.1155/2013/652385}}\n\n
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\n \n\n \n \n \n \n \n \n Goal Oriented Recognition of Composed Activities for Reliable and Adaptable Intelligence Systems.\n \n \n \n \n\n\n \n Hoelzl, G.; Kurz, M.; and Ferscha, A.\n\n\n \n\n\n\n Journal of Ambient Intelligence and Humanized Computing (JAIHC), 5(3): 357-368. July 2013.\n \n\n\n\n
\n\n\n\n \n \n \"GoalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{pervasive:hlzlgoal2,\n\tauthor = {Gerold Hoelzl and Marc Kurz and Alois Ferscha},\n\tdate-added = {2020-12-23 09:19:35 +0100},\n\tdate-modified = {2020-12-28 09:21:51 +0100},\n\tdoi = {10.1007/s12652-013-0198-3},\n\tjournal = {Journal of Ambient Intelligence and Humanized Computing (JAIHC)},\n\tmonth = {July},\n\tnumber = {3},\n\tpages = {357-368},\n\ttitle = {Goal Oriented Recognition of Composed Activities for Reliable and Adaptable Intelligence Systems},\n\turl = {/publications/2013_JAIHC.pdf},\n\tvolume = {5},\n\tyear = {2013},\n\tbdsk-url-1 = {/publications/2013_JAIHC.pdf},\n\tbdsk-url-2 = {https://doi.org/10.1007/s12652-013-0198-3}}\n\n
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\n \n\n \n \n \n \n \n \n Goal Processing and Semantic Matchmaking in Opportunistic Activity and Context Recognition Systems.\n \n \n \n \n\n\n \n Hoelzl, G.; Kurz, M.; and Ferscha, A.\n\n\n \n\n\n\n In The 9th International Conference on Autonomic and Autonomous Systems (ICAS2013), March 24 - 29, Lisbon, Portugal, Best Paper Award, pages 33-39, March 2013. \n \n\n\n\n
\n\n\n\n \n \n \"GoalPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pervasive:hlzlgoalmatch,\n\tauthor = {Gerold Hoelzl and Marc Kurz and Alois Ferscha},\n\tbooktitle = {The 9th International Conference on Autonomic and Autonomous Systems (ICAS2013), March 24 - 29, Lisbon, Portugal, Best Paper Award},\n\tdate-added = {2013-03-24 14:45:37 +0000},\n\tdate-modified = {2020-12-28 11:09:01 +0100},\n\tisbn = {978-1-61208-257-8},\n\tmonth = {March},\n\tpages = {33-39},\n\ttitle = {Goal Processing and Semantic Matchmaking in Opportunistic Activity and Context Recognition Systems},\n\turl = {/publications/2013_ICAS.pdf},\n\tyear = {2013},\n\tbdsk-url-1 = {/publications/2013_ICAS.pdf}}\n\n
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\n \n\n \n \n \n \n \n \n On the Utilization of Heterogeneous Sensors and System Adaptability for Opportunistic Activity and Context Recognition.\n \n \n \n \n\n\n \n Kurz, M.; Hoelzl, G.; and Ferscha, A.\n\n\n \n\n\n\n In Fifth International Conference on Adaptive and Self-Adaptive Systems and Applications (ADAPTIVE2013), May 27 - June 1, 2013, Valencia, Spain, Best Paper Award, pages 1–7, May 2013. \n \n\n\n\n
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@inproceedings{pervasive:kurzon,\n\tauthor = {Marc Kurz and Gerold Hoelzl and Alois Ferscha},\n\tbooktitle = {Fifth International Conference on Adaptive and Self-Adaptive Systems and Applications (ADAPTIVE2013), May 27 - June 1, 2013, Valencia, Spain, Best Paper Award},\n\tdate-added = {2013-03-06 13:26:09 +0000},\n\tdate-modified = {2020-12-28 11:07:34 +0100},\n\tisbn = {978-1-61208-274-5},\n\tmonth = {May},\n\tpages = {1--7},\n\ttitle = {On the Utilization of Heterogeneous Sensors and System Adaptability for Opportunistic Activity and Context Recognition},\n\turl = {/publications/2013_ADAPTIVE.pdf},\n\tyear = {2013},\n\tbdsk-url-1 = {/publications/2013_ADAPTIVE.pdf}}\n\n
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\n  \n 2012\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n \n Are You Cool Enough for Texas Hold'Em Poker?.\n \n \n \n \n\n\n \n Kurz, M.; Hoelzl, G.; Riener, A.; Anzengruber, B.; Schmittner, T.; and Ferscha, A.\n\n\n \n\n\n\n In Workshop on \"Effects of subliminal perception in Ubiquitous Computing Environments\", 14th ACM International Conference on Ubiquitous Computing, September 5-8, 2012, Pittsburgh, Pennsylvania, United States, September 2012. \n \n\n\n\n
\n\n\n\n \n \n \"ArePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pervasive:kurz2012are,\n\tauthor = {Marc Kurz and Gerold Hoelzl and Andreas Riener and Bernhard Anzengruber and Thomas Schmittner and Alois Ferscha},\n\tbooktitle = {Workshop on {"}Effects of subliminal perception in Ubiquitous Computing Environments{"}, 14th ACM International Conference on Ubiquitous Computing, September 5-8, 2012, Pittsburgh, Pennsylvania, United States},\n\tdate-added = {2012-07-26 16:40:37 +0000},\n\tdate-modified = {2020-12-28 11:12:11 +0100},\n\tdoi = {10.1145/2370216.2370459},\n\tmonth = {September},\n\ttitle = {Are You Cool Enough for Texas Hold{'}Em Poker?},\n\turl = {/publications/2013_UBICOMP.pdf},\n\tyear = {2012},\n\tbdsk-url-1 = {/publications/2013_UBICOMP.pdf},\n\tbdsk-url-2 = {https://doi.org/10.1145/2370216.2370459}}\n\n
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\n \n\n \n \n \n \n \n \n Goal-Oriented Opportunistic Sensor Clouds.\n \n \n \n \n\n\n \n Kurz, M.; Hoelzl, G.; and Ferscha, A.\n\n\n \n\n\n\n In The 2nd International Symposium on Secure Virtual Infrastructures (DOA-SVI'12), 10-14 Sept 2012, Roma, Italy, September 2012. Springer Verlag\n \n\n\n\n
\n\n\n\n \n \n \"Goal-OrientedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pervasive:kurz2012goaloriented,\n\tauthor = {Marc Kurz and Gerold Hoelzl and Alois Ferscha},\n\tbooktitle = {The 2nd International Symposium on Secure Virtual Infrastructures (DOA-SVI{'}12), 10-14 Sept 2012, Roma, Italy},\n\tdate-added = {2012-06-26 10:43:03 +0000},\n\tdate-modified = {2020-12-28 11:15:40 +0100},\n\tmonth = {September},\n\tpublisher = {Springer Verlag},\n\ttitle = {Goal-Oriented Opportunistic Sensor Clouds},\n\turl = {/publications/2012_DOA-SVI.pdf},\n\tyear = {2012},\n\tbdsk-url-1 = {/publications/2012_DOA-SVI.pdf}}\n\n
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\n \n\n \n \n \n \n \n \n Locomotion@Location: When the Rubber hits the Road.\n \n \n \n \n\n\n \n Hoelzl, G.; Kurz, M.; Halbmayer, P.; Erhart, J.; Matscheko, M.; Ferscha, A.; Eisl, S.; and Kaltenleithner, J.\n\n\n \n\n\n\n In The 9th International Conference on Autonomic Computing (ICAC2012), San Jose, California, USA, September 2012. \n \n\n\n\n
\n\n\n\n \n \n \"Locomotion@Location:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pervasive:hoelzl2012locomotionlocation,\n\tauthor = {Gerold Hoelzl and Marc Kurz and Peter Halbmayer and J{\\"u}rgen Erhart and Michael Matscheko and Alois Ferscha and Susanne Eisl and Johann Kaltenleithner},\n\tbooktitle = {The 9th International Conference on Autonomic Computing (ICAC2012), San Jose, California, USA},\n\tdate-added = {2012-05-21 14:59:22 +0000},\n\tdate-modified = {2020-12-28 11:17:41 +0100},\n\tdoi = {10.1145/2371536.2371549},\n\tmonth = {September},\n\ttitle = {Locomotion@Location: When the Rubber hits the Road},\n\turl = {/publications/2012_ICAC.pdf},\n\tyear = {2012},\n\tbdsk-url-1 = {/publications/2012_ICAC.pdf},\n\tbdsk-url-2 = {https://doi.org/10.1145/2371536.2371549}}\n\n
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\n \n\n \n \n \n \n \n \n Goal Oriented Opportunistic Recognition of High-Level Composed Activities using Dynamically Configured Hidden Markov Models.\n \n \n \n \n\n\n \n Hoelzl, G.; Kurz, M.; and Ferscha, A.\n\n\n \n\n\n\n In The 3rd International Conference on Ambient Systems, Networks and Technologies (ANT2012), Niagara Falls, Ontario, Canada, August 2012. \n \n\n\n\n
\n\n\n\n \n \n Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pervasive:hoelzl2012goal,\n\tauthor = {Gerold Hoelzl and Marc Kurz and Alois Ferscha},\n\tbooktitle = {The 3rd International Conference on Ambient Systems, Networks and Technologies (ANT2012), Niagara Falls, Ontario, Canada},\n\tdate-added = {2012-04-25 06:21:02 +0000},\n\tdate-modified = {2020-12-28 11:19:42 +0100},\n\tdoi = {10.1016/j.procs.2012.06.041},\n\tmonth = {August},\n\ttitle = {Goal Oriented Opportunistic Recognition of High-Level Composed Activities using Dynamically Configured Hidden Markov Models},\n\turl = {/publications/2012_ANT.pdf},\n\tyear = {2012},\n\tbdsk-url-1 = {/publications/2012_ANT.pdf},\n\tbdsk-url-2 = {https://doi.org/10.1016/j.procs.2012.06.041}}\n\n
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\n \n\n \n \n \n \n \n \n Dynamic Adaptation of Opportunistic Sensor Configurations for Continuous and Accurate Activity Recognition.\n \n \n \n \n\n\n \n Kurz, M.; Hoelzl, G.; and Ferscha, A.\n\n\n \n\n\n\n In Fourth International Conference on Adaptive and Self-Adaptive Systems and Applications (ADAPTIVE2012), Nice, France, Best Paper Award, July 2012. \n \n\n\n\n
\n\n\n\n \n \n \"DynamicPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pervasive:kurz2012dynamic,\n\tauthor = {Marc Kurz and Gerold Hoelzl and Alois Ferscha},\n\tbooktitle = {Fourth International Conference on Adaptive and Self-Adaptive Systems and Applications (ADAPTIVE2012), Nice, France, Best Paper Award},\n\tdate-added = {2012-04-25 06:20:18 +0000},\n\tdate-modified = {2020-12-28 11:21:06 +0100},\n\tisbn = {978-1-61208-219-6},\n\tmonth = {July},\n\ttitle = {Dynamic Adaptation of Opportunistic Sensor Configurations for Continuous and Accurate Activity Recognition},\n\turl = {/publications/2012_ADAPTIVE.pdf},\n\tyear = {2012},\n\tbdsk-url-1 = {/publications/2012_ADAPTIVE.pdf}}\n\n
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\n  \n 2011\n \n \n (7)\n \n \n
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\n \n\n \n \n \n \n \n \n The OPPORTUNITY Framework and Data Processing Ecosystem for Opportunistic Activity and Context Recognition.\n \n \n \n \n\n\n \n Kurz, M.; Hoelzl, G.; Ferscha, A.; Calatroni, A.; Roggen, D.; Tröster, G.; Sagha, H.; Chavarriaga, R.; del R. Millán, J.; Bannach, D.; Kunze, K.; and Lukowicz, P.\n\n\n \n\n\n\n International Journal of Sensors, Wireless Communications and Control, Special Issue on Autonomic and Opportunistic Communications. December 2011.\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{pervasive:kurz2011opportunity,\n\tauthor = {Marc Kurz and Gerold Hoelzl and Alois Ferscha and Alberto Calatroni and Daniel Roggen and Gerhard Tr{\\"o}ster and Hesam Sagha and Ricardo Chavarriaga and Jos{\\'e} del R. Mill{\\'a}n and David Bannach and Kai Kunze and Paul Lukowicz},\n\tdate-added = {2020-12-23 09:19:35 +0100},\n\tdate-modified = {2020-12-28 11:26:02 +0100},\n\tdoi = {10.2174/2210327911101020102},\n\tissn = {2210-32xx},\n\tjournal = {International Journal of Sensors, Wireless Communications and Control, Special Issue on Autonomic and Opportunistic Communications},\n\tmonth = {December},\n\tpublisher = {Bentham Science Publishers},\n\ttitle = {The OPPORTUNITY Framework and Data Processing Ecosystem for Opportunistic Activity and Context Recognition},\n\turl = {/publications/2011_BSP.pdf},\n\tyear = {2011},\n\tbdsk-url-1 = {/publications/2011_BSP.pdf},\n\tbdsk-url-2 = {https://doi.org/10.2174/2210327911101020102}}\n\n
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\n \n\n \n \n \n \n \n \n Activity Recognition in Opportunistic Sensor Environments.\n \n \n \n \n\n\n \n Roggen, D.; Calatroni, A.; Förster, K.; Tröster, G.; Lukowicz, P.; Bannach, D.; Ferscha, A.; Kurz, M.; Hoelzl, G.; Sagha, H.; Bayati, H.; del R. Millán, J.; and Chavarriaga, R.\n\n\n \n\n\n\n In Elisabeth Giacobino, R. P., editor(s), Proceedings of the 2nd European Future Technologies Conference and Exhibition 2011 (FET 11), volume 7, pages 173–174, December 2011. Elsevier\n \n\n\n\n
\n\n\n\n \n \n \"ActivityPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pervasive:roggen2011potential,\n\tauthor = {Daniel Roggen and Alberto Calatroni and Kilian F{\\"o}rster and Gerhard Tr{\\"o}ster and Paul Lukowicz and David Bannach and Alois Ferscha and Marc Kurz and Gerold Hoelzl and Hesam Sagha and Hamidreza Bayati and Jos{\\'e} del R. Mill{\\'a}n and Ricardo Chavarriaga},\n\tbooktitle = {Proceedings of the 2nd European Future Technologies Conference and Exhibition 2011 (FET 11)},\n\tdate-added = {2012-01-25 07:56:31 +0000},\n\tdate-modified = {2020-12-28 11:22:49 +0100},\n\tdoi = {10.1016/j.procs.2011.09.003},\n\teditor = {Elisabeth Giacobino, Rolf Pfeifer},\n\tjournal = {Procedia Computer Science},\n\tmonth = {December},\n\tpages = {173--174},\n\tpublisher = {Elsevier},\n\ttitle = {Activity Recognition in Opportunistic Sensor Environments},\n\turl = {/publications/2011_FET11.pdf},\n\tvolume = {7},\n\tyear = {2011},\n\tbdsk-url-1 = {http://www.sciencedirect.com/science/journal/18770509}}\n\n
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\n \n\n \n \n \n \n \n \n Real-Time Transfer and Evaluation of Activity Recognition Capabilities in an Opportunistic System.\n \n \n \n \n\n\n \n Kurz, M.; Hoelzl, G.; Ferscha, A.; Calatroni, A.; Roggen, D.; and Troester, G.\n\n\n \n\n\n\n In Third International Conference on Adaptive and Self-Adaptive Systems and Application, September 25-30, Rome, Italy, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"Real-TimePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pervasive:kurz2011realtime,\n\tauthor = {Marc Kurz and Gerold Hoelzl and Alois Ferscha and Alberto Calatroni and Daniel Roggen and Gerhard Troester},\n\tbooktitle = {Third International Conference on Adaptive and Self-Adaptive Systems and Application, September 25-30, Rome, Italy},\n\tdate-added = {2011-06-21 13:51:23 +0200},\n\tdate-modified = {2020-12-28 12:55:08 +0100},\n\tisbn = {978-1-61208-011-6},\n\ttitle = {Real-Time Transfer and Evaluation of Activity Recognition Capabilities in an Opportunistic System},\n\turl = {/publications/2011_ADAPTIVE.pdf},\n\tyear = {2011},\n\tbdsk-url-1 = {/publications/2011_ADAPTIVE.pdf}}\n\n
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\n \n\n \n \n \n \n \n \n Goal Oriented Opportunistic Sensing.\n \n \n \n \n\n\n \n Hoelzl, G.\n\n\n \n\n\n\n In 9th International Conference on Pervasive Computing (Pervasive2011), Doctoral Consortium, San Francisco, CA, USA, June 2011. \n \n\n\n\n
\n\n\n\n \n \n \"GoalPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pervasive:hoelzl2011goal,\n\tauthor = {Gerold Hoelzl},\n\tbooktitle = {9th International Conference on Pervasive Computing (Pervasive2011), Doctoral Consortium, San Francisco, CA, USA},\n\tdate-added = {2011-05-25 20:52:50 +0200},\n\tdate-modified = {2020-12-28 11:28:39 +0100},\n\tmonth = {June},\n\ttitle = {Goal Oriented Opportunistic Sensing},\n\turl = {/publications/2011_PERVASIVE.pdf},\n\tyear = {2011},\n\tbdsk-url-1 = {/publications/2011_PERVASIVE.pdf}}\n\n
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\n \n\n \n \n \n \n \n \n A Framework for Opportunistic Context and Activity Recognition.\n \n \n \n \n\n\n \n Hoelzl, G.; Kurz, M.; Ferscha, A.; Roggen, D.; Calatroni, A.; Tröster, G.; Chavarriaga, R.; del R. Millán, J.; Sagha, H.; Lukowicz, P.; and Bannach, D.\n\n\n \n\n\n\n In 9th International Conference on Pervasive Computing (Pervasive2011), San Francisco, CA, USA, June 2011. \n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pervasive:hoelzl2011framework,\n\tauthor = {Gerold Hoelzl and Marc Kurz and Alois Ferscha and Daniel Roggen and Alberto Calatroni and Gerhard Tr{\\"o}ster and Ricardo Chavarriaga and Jos{\\'e} del R. Mill{\\'a}n and Hesam Sagha and Paul Lukowicz and David Bannach},\n\tbooktitle = {9th International Conference on Pervasive Computing (Pervasive2011), San Francisco, CA, USA},\n\tdate-added = {2011-04-26 14:40:06 +0200},\n\tdate-modified = {2020-12-28 11:31:13 +0100},\n\tmonth = {June},\n\ttitle = {A Framework for Opportunistic Context and Activity Recognition},\n\turl = {/publications/2011_PERVASIVE2.pdf},\n\tyear = {2011},\n\tbdsk-url-1 = {/publications/2011_PERVASIVE2.pdf}}\n\n
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\n \n\n \n \n \n \n \n \n Activity recognition in opportunistic sensor environments.\n \n \n \n \n\n\n \n Roggen, D.; Calatroni, A.; Förster, K.; Tröster, G.; Ferscha, A.; Kurz, M.; Hoelzl, G.; Lukowicz, P.; Bannach, D.; Sagha, H.; Bayati, H.; del R. Millán, J.; and Chavarriaga, R.\n\n\n \n\n\n\n In The European Future Technologies Conference and Exhibition (FET11), 4-6 May, Budapest, Hungary, pages 2, May 2011. \n \n\n\n\n
\n\n\n\n \n \n \"ActivityPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pervasive:roggen2011activity,\n\tauthor = {Daniel Roggen and Alberto Calatroni and Kilian F{\\"o}rster and Gerhard Tr{\\"o}ster and Alois Ferscha and Marc Kurz and Gerold Hoelzl and Paul Lukowicz and David Bannach and Hesam Sagha and Hamidreza Bayati and Jos{\\'e} del R. Mill{\\'a}n and Ricardo Chavarriaga},\n\tbooktitle = {The European Future Technologies Conference and Exhibition (FET11), 4-6 May, Budapest, Hungary},\n\tdate-added = {2011-03-24 20:03:05 +0100},\n\tdate-modified = {2020-12-28 12:47:12 +0100},\n\tdoi = {doi.org/10.1016/j.procs.2011.09.003},\n\tmonth = {May},\n\tpages = {2},\n\ttitle = {Activity recognition in opportunistic sensor environments},\n\turl = {/publications/2011_FET11.pdf},\n\tyear = {2011},\n\tbdsk-url-1 = {/publications/2011_FET11.pdf},\n\tbdsk-url-2 = {https://doi.org/10.1016/j.procs.2011.09.003}}\n\n
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\n \n\n \n \n \n \n \n \n Dynamic Quantification of Activity Recognition Capabilities in Opportunistic Systems.\n \n \n \n \n\n\n \n Kurz, M.; Hoelzl, G.; Ferscha, A.; Sagha, H.; del R. Millán, J.; and Chavarriaga, R.\n\n\n \n\n\n\n In Fourth Conference on Context Awareness for Proactive Systems: CAPS2011, 15-16 May 2011, Budapest, Hungary, May 2011. \n \n\n\n\n
\n\n\n\n \n \n \"DynamicPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Hoelzl20111,\n\tauthor = {Marc Kurz and Gerold Hoelzl and Alois Ferscha and Hesam Sagha and Jos{\\'e} del R. Mill{\\'a}n and Ricardo Chavarriaga},\n\tbooktitle = {Fourth Conference on Context Awareness for Proactive Systems: CAPS2011, 15-16 May 2011, Budapest, Hungary},\n\tdate-added = {2011-03-15 12:24:46 +0100},\n\tdate-modified = {2020-12-28 12:52:04 +0100},\n\tdoi = {10.1109/VETECS.2011.5956356},\n\tmonth = {May},\n\ttitle = {Dynamic Quantification of Activity Recognition Capabilities in Opportunistic Systems},\n\turl = {/publications/2011_CAPS.pdf},\n\tyear = {2011},\n\tbdsk-url-1 = {/publications/2011_CAPS.pdf},\n\tbdsk-url-2 = {https://doi.org/10.1109/VETECS.2011.5956356}}\n\n
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\n  \n 2010\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Robust activity recognition for assistive technologies: Benchmarking machine learning techniques.\n \n \n \n \n\n\n \n Chavarriaga, R.; Sagha, H.; Bayati, H.; del R. Millan, J.; Roggen, D.; Foerster, K.; Calatroni, A.; Troester, G.; Lukowicz, P.; Bannach, D.; Kurz, M.; Hoelzl, G.; and Ferscha, A.\n\n\n \n\n\n\n In Workshop on Machine Learning for Assistive Technologies at the Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS-10), Whistler, British Columbia, Canada, December 10-11, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"RobustPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Hoelzl2010,\n\taddress = {Whistler, British Columbia, Canada},\n\tauthor = {Ricardo Chavarriaga and Hesam Sagha and Hamidreza Bayati and Jose del R. Millan and Daniel Roggen and Kilian Foerster and Alberto Calatroni and Gerhard Troester and Paul Lukowicz and David Bannach and Marc Kurz and Gerold Hoelzl and Alois Ferscha},\n\tbooktitle = {Workshop on Machine Learning for Assistive Technologies at the Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS-10)},\n\tdate-added = {2010-12-21 10:51:25 +0100},\n\tdate-modified = {2020-12-28 12:56:41 +0100},\n\tmonth = {December 10-11,},\n\ttitle = {Robust activity recognition for assistive technologies: Benchmarking machine learning techniques},\n\turl = {/publications/2010_MLAT.pdf},\n\tyear = {2010},\n\tbdsk-url-1 = {/publications/2010_MLAT.pdf}}\n\n
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\n \n\n \n \n \n \n \n \n A personalised body motion sensitive training system based on auditive feedback.\n \n \n \n \n\n\n \n Hoelzl, G.\n\n\n \n\n\n\n In Phan, T.; Montanari, A.; and Zerfos, P., editor(s), Proceedings of the $1^{st}$ Annual International ICST Conference on Mobile Computing, Applications, and Services (MobiCASE09), volume 35, of Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, San Diego, California, USA, October 26-29 2009. ICST, Springer\n ISBN: 978-3-642-12606-2\n\n\n\n
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@inproceedings{Hoelzl2009,\n\taddress = {San Diego, California, USA},\n\tauthor = {Gerold Hoelzl},\n\tbooktitle = {Proceedings of the $1^{st}$ Annual International ICST Conference on Mobile Computing, Applications, and Services (MobiCASE09)},\n\teditor = {Thomas Phan and Angela Montanari and Petros Zerfos},\n\tmonth = {October 26-29},\n\tnote = {{I}SBN: 978-3-642-12606-2},\n\torganization = {ICST},\n\towner = {Gerold},\n\tpublisher = {Springer},\n\tseries = {Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering},\n\ttimestamp = {2009.11.12},\n\ttitle = {A personalised body motion sensitive training system based on auditive feedback},\n\turl = {/publications/2009_MOBICASE.pdf},\n\tvolume = {35},\n\tyear = {2009},\n\tbdsk-url-1 = {/publications/2009_Mobicase.pdf},\n\tbdsk-url-2 = {/publications/2009_MOBICASE.pdf}}\n
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