DocumentCode :
2893092
Title :
A Human State Estimation Method Using Fuzzy Based System
Author :
Nii, Manabu ; Nakai, Kazuki ; Takahashi, Yutaka ; Higuchi, Kohei ; Maenaka, Kazusuke
Author_Institution :
Grad. Sch. of Eng., Univ. of Hyogo, Himeji, Japan
fYear :
2011
fDate :
18-20 Nov. 2011
Firstpage :
151
Lastpage :
155
Abstract :
When we use a MEMS based monitoring system for monitoring human behavior, several kinds of numerical data can be measured. In order to develop an intelligent monitoring system with small size, we need to minimize the power consumption. Therefore, we need to develop a simple intelligent system. We have proposed a behavior estimation method which consists of a fuzzy rule based system to estimate the subject\´s behavior. In the proposed method, two steps of abstraction for numerical data extract some human behaviors from numerical data. The proposed method can estimate only human behavior such as "walking" or "sitting" etc. In this paper, we propose an estimation method that can estimate both human state and behavior. Our proposed method can estimate human state using both heart rate from ECG and human behavior obtained from acceleration sensors. From the results of our proposed method, we show the effectiveness of our proposed method.
Keywords :
bioMEMS; computerised monitoring; electrocardiography; fuzzy set theory; knowledge based systems; medical computing; microsensors; state estimation; ECG; MEMS based monitoring system; acceleration sensors; behavior estimation method; fuzzy rule based system; heart rate; human state estimation method; intelligent monitoring system; numerical data; power consumption minimization; Electrocardiography; Legged locomotion; Presses; MEMS sensors; SVM; behavior estimation; fuzzy; state estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Trends in Engineering and Technology (ICETET), 2011 4th International Conference on
Conference_Location :
Port Louis
ISSN :
2157-0477
Print_ISBN :
978-1-4577-1847-2
Type :
conf
DOI :
10.1109/ICETET.2011.50
Filename :
6120573
Link To Document :
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