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Robust, Low-cost, Non-intrusive Sensing and Recognition of Seated Postures (2007)
By: Bilge Mutlu, Andreas Krause, Jodi Forlizzi, Carlos Guestrin, and Jessica HodginsAbstract: In this paper, we present a methodology for recognizing seated postures using data from pressure sensors installed on a chair. Information about seated postures could be used to help avoid adverse effects of sitting for long periods of time or to predict seated activities for a human-computer interface. Our system design displays accurate near-real-time classification performance on data from subjects on which the posture recognition system was trained by using a set of carefully designed, subject-invariant signal features. By using a near-optimal sensor placement strategy, we keep the number of required sensors low thereby reducing cost and computational complexity. We evaluated the performance of our technology using a series of empirical methods including (1) cross-validation (classification accuracy of 87 ten postures using data from 31 sensors), and (2) a physical deployment of our system (78 data from 19 sensors).
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| Bilge Mutlu, Andreas Krause, Jodi Forlizzi, Carlos Guestrin, and Jessica Hodgins (2007). "Robust, Low-cost, Non-intrusive Sensing and Recognition of Seated Postures." ACM Symposium on User Interface Software and Technology (UIST). | talk | ||||
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@inproceedings{Mutlu+Krause+Forlizzi+Guestrin+Hodgins:uist07chair, AUTHOR = {Bilge Mutlu and Andreas Krause and Jodi Forlizzi and Carlos Guestrin and Jessica Hodgins}, TITLE = {Robust, Low-cost, Non-intrusive Sensing and Recognition of Seated Postures}, BOOKTITLE = {ACM Symposium on User Interface Software and Technology (UIST)}, month = {October}, YEAR = {2007}, wwwfilebase = {uist2007-mutlu-krause-forlizzi-guestrin-hodgins}, wwwtopic = {Observation Selection}, } | |||||
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