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. © 2011 Springer-Verlag.
Cite
CITATION STYLE
Frank, J., Mannor, S., & Precup, D. (2011). Activity recognition with mobile phones. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6913 LNAI, pp. 630–633). https://doi.org/10.1007/978-3-642-23808-6_44
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