DocumentCode
3056252
Title
Implementation of Activity Recognition from Accelerometers on Mobile Phones
Author
Hirakawa, Go ; Nwe, Thin Thin ; Hattori, Yuichi ; Inoue, Sozo
Author_Institution
Adv. Network Res. Dept., Network Applic. Eng. Labs. Ltd., Fukuoka, Japan
fYear
2011
fDate
Nov. 30 2011-Dec. 2 2011
Firstpage
346
Lastpage
347
Abstract
In this paper, we propose an experimental implementation of activity recognition feature on the activity information gathering system named ALKAN. In this experiment, we develop activity recognition algorithm using machine learning on server system, and port it onto client system on mobile phone. We also confirmed the feasibility of real-time activity recognition with actual mobile phone.
Keywords
accelerometers; learning (artificial intelligence); mobile computing; ALKAN; accelerometers; activity information gathering system; activity recognition algorithm; client system; machine learning; mobile phones; server system; Accelerometers; Machine learning; Real time systems; Servers; Smart phones; Target recognition; accelerometer; activity recognition; machine learning; smartphone;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Networking and Collaborative Systems (INCoS), 2011 Third International Conference on
Conference_Location
Fukuoka
Print_ISBN
978-1-4577-1908-0
Type
conf
DOI
10.1109/INCoS.2011.103
Filename
6132828
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