DocumentCode :
3746195
Title :
Wearable sensor-based monitoring system for human behavior estimation
Author :
Wei Zheng;Yuri Yoshihara;Dalai Tang;Naoyuki Kubota
Author_Institution :
Graduate School of System Design Tokyo Metropolitan University, 6-6 Asahigaoka, Hino, 191-0065 Japan
fYear :
2015
Firstpage :
474
Lastpage :
477
Abstract :
Many types of wearable sensor systems have been developed for health monitoring system. This paper proposes a method of abnormal behavior detection utilizing 429MHz band wireless sensor module as a wearable sensor system. We apply fuzzy spiking neural network for feature extraction and use decision tree to identify the behavior patterns. Furthermore, we show an experimental result and discuss the validity of the proposed method.
Keywords :
"Gravity","Servers","Databases","Interference","Hardware","Transmitters","Receivers"
Publisher :
ieee
Conference_Titel :
Technologies and Applications of Artificial Intelligence (TAAI), 2015 Conference on
Electronic_ISBN :
2376-6824
Type :
conf
DOI :
10.1109/TAAI.2015.7407074
Filename :
7407074
Link To Document :
بازگشت