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
fDate :
Nov. 30 2011-Dec. 2 2011
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;
Conference_Titel :
Intelligent Networking and Collaborative Systems (INCoS), 2011 Third International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4577-1908-0
DOI :
10.1109/INCoS.2011.103
