Wearable sensor-based monitoring system for human behavior estimation

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...

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Bibliographic Details
Published in2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI) pp. 474 - 477
Main Authors Wei Zheng, Yoshihara, Yuri, Dalai Tang, Kubota, Naoyuki
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 01.11.2015
Subjects
Artificial intelligence
Conferences
Decision trees
Expert systems
Gravity
Hardware
human abnormal behavior
Interference
Monitoring
Neural networks
Receivers
Sensors
Servers
specified low power radio
spiking neural network
supervised learning
Transmitters
Wearable
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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Conference-1
ObjectType-Feature-3
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SourceType-Conference Papers & Proceedings-2
ISSN:2376-6824
DOI:10.1109/TAAI.2015.7407074