Contact-free Sensing for Collective Activity Recognition. Sigg, S. In Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, of UbiComp/ISWC'15 Adjunct, pages 885–886, New York, NY, USA, 2015. ACM.
doi  abstract   bibtex   
We are surrounded by a multitude of communicating sensing devices. Furnished with wearables to serve our very needs, we traverse sensor-rich environments of smart cities. Through new open standards and novel protocols this loose collection of devices increasingly evolves into a superorganism of wearables and environmental devices. All these devices share a single ubiquitous sensor type: the RF-interface. Ubiquitously available signals from e.g. FM-radio, WiFi or UMTS can be exploited as sensor for presence, location, crowd-size, activity or gestures. On-site training of these systems will soon be replaced by offline-raytracing techniques and recognition accuracies will further increase with the Channel State Information (CSI) on recent OFDM receivers. In contrast to RSSI, CSI features channel response information as a PHY layer power feature, revealing amplitudes and phases of each subcarrier. Exemplary, enabled by this superorganism of wireless devices, we envision the advance of sentiment sensing, smart city architectures as well as autonomous intelligent spaces.
@inproceedings{Sigg_2015_ubicomp,
 author = {Sigg, Stephan},
 title = {Contact-free Sensing for Collective Activity Recognition},
 booktitle = {Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers},
 series = {UbiComp/ISWC'15 Adjunct},
 year = {2015},
 isbn = {978-1-4503-3575-1},
 location = {Osaka, Japan},
 pages = {885--886},
 numpages = {2},
 doi = {10.1145/2800835.2809504},
 acmid = {2809504},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {contact-free sensing, device-free RF, sentiment sensing, smart city},
 abstract={We are surrounded by a multitude of communicating sensing devices. Furnished with wearables to serve our very needs, we traverse sensor-rich environments of smart cities. Through new open standards and novel protocols this loose collection of devices increasingly evolves into a superorganism of wearables and environmental devices. All these devices share a single ubiquitous sensor type: the RF-interface. Ubiquitously available signals from e.g. FM-radio, WiFi or UMTS can be exploited as sensor for presence, location, crowd-size, activity or gestures. On-site training of these systems will soon be replaced by offline-raytracing techniques and recognition accuracies will further increase with the Channel State Information (CSI) on recent OFDM receivers. In contrast to RSSI, CSI features channel response information as a PHY layer power feature, revealing amplitudes and phases of each subcarrier.

Exemplary, enabled by this superorganism of wireless devices, we envision the advance of sentiment sensing, smart city architectures as well as autonomous intelligent spaces.
},
group = {ambience}
}
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