A Modular Approach to Gesture Recognition for Interaction with a Domestic Service Robot. Schiffer, S., Baumgartner, T., & Lakemeyer, G. In Proceedings of the Fourth International Conference on Intelligent Robotics and Applications (ICIRA 2011), of Lecture Notes in Computer Science, pages 348-357, 12/2011, 2011. Springer, Springer. ![A Modular Approach to Gesture Recognition for Interaction with a Domestic Service Robot [pdf]](https://bibbase.org/img/filetypes/pdf.svg "pdf")
Paper doi abstract bibtex 3 downloads In this paper, we propose a system for robust and flexible visual gesture recognition on a mobile robot for domestic service robotics applications. This adds a simple yet powerful mode of interaction, especially for the targeted user group of laymen and elderly or disabled people in home environments. Existing approaches often use a monolithic design, are computationally expensive, rely on previously learned (static) color models, or a specific initialization procedure to start gesture recognition. We propose a multi-step modular approach where we iteratively reduce the search space while retaining flexibility and extensibility. Building on a set of existing approaches, we integrate an on-line color calibration and adaptation mechanism for hand detection followed by feature-based posture recognition. Finally, after tracking the hand over time we adopt a simple yet effective gesture recognition method that does not require any training.
@inproceedings {Schiffer:Baumgartner:Lakemeyer:ICIRA2011:ViGoR,
title = {A Modular Approach to Gesture Recognition for Interaction with a Domestic Service Robot},
booktitle = {Proceedings of the Fourth International Conference on Intelligent Robotics and Applications (ICIRA 2011)},
series = {Lecture Notes in Computer Science},
year = {2011},
month = {12/2011},
pages = {348-357},
publisher = {Springer},
organization = {Springer},
abstract = {In this paper, we propose a system for robust and flexible visual gesture recognition on a mobile robot for domestic service robotics applications. This adds a simple yet powerful mode of interaction, especially for the targeted user group of laymen and elderly or disabled people in home environments. Existing approaches often use a monolithic design, are computationally expensive, rely on previously learned (static) color models, or a specific initialization procedure to start gesture recognition. We propose a multi-step modular approach where we iteratively reduce the search space while retaining flexibility and extensibility. Building on a set of existing approaches, we integrate an on-line color calibration and adaptation mechanism for hand detection followed by feature-based posture recognition. Finally, after tracking the hand over time we adopt a simple yet effective gesture recognition method that does not require any training.},
isbn = {978-3-642-25488-8},
doi = {10.1007/978-3-642-25489-5_34},
url_Paper = {https://kbsg.rwth-aachen.de/sites/kbsg/files/icira2011vigor.pdf},
author = {Schiffer, Stefan and Tobias Baumgartner and Lakemeyer, Gerhard}
}
Downloads: 3
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