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Online context recognition in multisensor systems using dynamic time warping

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Authors
Ko, Ming
West, Geoff
Venkatesh, Svetha
Kumar, Mohan
Date
2005
Type
Conference Paper

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Ko, M. and West, G. and Venkatesh, S. and Kumar, M. 2005. Online context recognition in multisensor systems using dynamic time warping, in Palaniswami, M. (ed), Proceedings of the 2005 International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), Dec 5-8 2005, pp. 283-288. Melbourne, Australia: IEEE.
Source Title
2nd International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP2005)
Source Conference
2nd International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP2005)
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Department of Computing
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Abstract

In this paper we present our system for online context recognition of multimodal sequences acquired from multiple sensors. The system uses Dynamic Time Warping (DTW) to recognize multimodal sequences of different lengths, embedded in continuous data streams. We evaluate the performance of our system on two real world datasets: 1) accelerometer data acquired from performing two hand gestures and 2) NOKIA's benchmark dataset for context recognition. The results from both datasets demonstrate that the system can perform online context recognition efficiently and achieve high recognition accuracy.