DocumentCode :
2075790
Title :
Classification of human moving patterns using air pressure and acceleration
Author :
Sagawa, Koichi ; Ishihara, Tadashi ; Ina, Atsushi ; Inooka, Hikaru
Author_Institution :
GSIS, Tohoku Univ., Sendai, Japan
Volume :
2
fYear :
1998
fDate :
31 Aug-4 Sep 1998
Firstpage :
1214
Abstract :
A new method to classify human moving behavior using one acceleration sensor and one air pressure sensor is discussed. Foot-to-head acceleration frequently varies during walking, and is used to classify the moving behavior into stepping action and rest. Walking patterns such as normal walking and jogging are estimated from variances of foot-to-head acceleration. Slight change of air pressure which results from vertical movement is used to detect the moving styles of going up/down the stairs or in an elevator. A combination of these features gives several kinds of moving patterns. The proposed method enables simple and reliable estimation of human moving pattern at the rate of 95% accuracy
Keywords :
acceleration measurement; pressure measurement; sensors; acceleration sensor; air pressure sensor; foot-to-head acceleration; human moving patterns classification; jogging; normal walking; vertical movement; walking; walking patterns; Acceleration; Electrocardiography; Elevators; Floors; Humans; Legged locomotion; Low pass filters; Pressure measurement; Temperature sensors; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, 1998. IECON '98. Proceedings of the 24th Annual Conference of the IEEE
Conference_Location :
Aachen
Print_ISBN :
0-7803-4503-7
Type :
conf
DOI :
10.1109/IECON.1998.724274
Filename :
724274
Link To Document :
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