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An unsupervised learning method for human activity recognition based on a temporal qualitative model
Abstract : In this paper, we investigate the problem of monitoring human activities using a network of sensors, including video cameras, in a smart home environment. We introduce an unsupervised method for mining a new kind of qualitative temporally structured activity models from sensor data. We present an application of our method to the recognition of activities of daily living in an elderly care context.
Cited literature [12 references]
https://hal.inria.fr/inria-00624367
Contributor : Service Ist Inria Sophia Antipolis-Méditerranée / I3s Connect in order to contact the contributor
Submitted on : Friday, September 16, 2011 - 4:28:00 PM
Last modification on : Thursday, November 25, 2021 - 8:22:28 AM
Long-term archiving on: : Saturday, December 17, 2011 - 2:26:41 AM
Contributor : Service Ist Inria Sophia Antipolis-Méditerranée / I3s Connect in order to contact the contributor
Submitted on : Friday, September 16, 2011 - 4:28:00 PM
Last modification on : Thursday, November 25, 2021 - 8:22:28 AM
Long-term archiving on: : Saturday, December 17, 2011 - 2:26:41 AM
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