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Human Activity Recognizer for Mobile Devices with Multiple Sensors

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4 Author(s)
Cho, K. ; Toshiba Corp., Kawasaki, Japan ; Iketani, N. ; Setoguchi, H. ; Hattori, M.

This paper presents a novel human activity recognizer used to estimate a user's activities with sensors on a widespread consumer mobile device. Our recognizer can estimate a user's means of migration by using a combination of an acceleration sensor and a GPS. We evaluate the accuracy rate of the estimation with cellular phones carried freely and the result is 90.6 percent even in the case of intermittent working mode for lower power consumption.

Published in:

Ubiquitous, Autonomic and Trusted Computing, 2009. UIC-ATC '09. Symposia and Workshops on

Date of Conference:

7-9 July 2009

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