Activity recognition with mobile phones

Authors:
Jordan Frank;Shie Mannor;Doina Precup
Affiliations:
School of Computer Science, McGill University, Montreal, Canada;Department of Electrical Engineering, Technion, Israel;School of Computer Science, McGill University, Montreal, Canada
Venue:
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Year:
2011

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Abstract

Our demonstration consists of a working activity and gait recognition system, implemented on a commercial smartphone. The activity recognition feature allows participants to train various activities, such as running, walking, or jumping, on the phone; the system can then identify when those activities are performed. The gait recognition feature learns particular characteristics of how participants walk, allowing the phone to identify the person carrying it.