Fuzzified Neural Network based Human Physical Condition Monitoring using MEMS based Monitoring Devices

被引：3

作者：

Nii, Manabu ^{[1
]}

Kakiuchi, Yoshihiro ^{[1
]}

Hayashi, Toshinobu ^{[1
]}

Takahama, Kazunobu ^{[1
]}

Yumoto, Takayuki ^{[1
]}

机构：

[1] Univ Hyogo, Grad Sch Engn, Himeji, Hyogo 6712201, Japan

来源：

2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013) | 2013年

关键词：

Fuzzified neural networks; physical condition monitoring; MEMS;

D O I：

10.1109/SMC.2013.367

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to understand our physical condition, we need to record the detail of physical condition data like the heart rate. However, for understanding such data, additional information such as what the subject is doing at that time is needed. We propose a combined system which consists of a fuzzified neural network based unusual condition detection and a standard neural network based action estimation. From experimental results, the effectiveness of our proposed system is shown for understanding our conditions.

引用

页码：2146 / 2151

页数：6

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