Bosch, S. and Marin-Perianu, R.S. and Havinga, P.J.M. and Marin-Perianu, M. and Horst, A. and Vasilescu, A.
Automatic Recognition of Object Use Based on Wireless Motion Sensors.
In: International Symposium on Wearable Computers 2010, 10-13 Okt 2010, Seoul, South Korea.
IEEE Computer Society.
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Official URL: http://dx.doi.org/10.1109/ISWC.2010.5665858
In this paper, we present a method for automatic, online detection of a user’s interaction with objects. This represents an essential building block for improving the performance of distributed activity recognition systems. Our
method is based on correlating features extracted from motion sensors worn by the user and attached to objects. We
present a complete implementation of the idea, using miniaturized wireless sensor nodes equipped with motion sensors. We achieve a recognition accuracy of 97% for a
target response time of 2 seconds. The implementation is
lightweight, with low communication bandwidth and processing needs. We illustrate the potential of the concept by means of an interactive multi-user game.
|Item Type:||Conference or Workshop Paper (Full Paper, Talk)|
|Research Group:||EWI-PS: Pervasive Systems|
|Research Program:||CTIT-WiSe: Wireless and Sensor Systems|
|Research Project:||IS-ACTIVE: Inertial Sensing Systems for Advanced Chronic Condition Monitoring and Risk Prevention, SENSEI: Integrating the PhySical with the Digital World of the Network of the Future|
|Uncontrolled Keywords:||activity recognition, inertial sensors, wireless sensor networks, motion sensing, magnetic compass, correlation, smart objects, user interaction|
|Deposited On:||23 February 2011|
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