DocumentCode :
2019501
Title :
Activity recognition for children using self-organizing map
Author :
Suzuki, Satoshi ; Mitsukura, Yasue ; Igarashi, Hiroshi ; Kobayashi, Harumi ; Harashima, Fumio
Author_Institution :
Dept. of Robot. & Mechatron., Tokyo Denki Univ., Tokyo, Japan
fYear :
2012
fDate :
9-13 Sept. 2012
Firstpage :
653
Lastpage :
658
Abstract :
Based on a new concept of Kinder-GuaRdian which aims to realize a support system for kindergarten´s staffs and parents by watching over children´s activity and their growing process, activity recognition (AR) for children is treated in this paper. In case of children, smaller amount of sensors is better since easy fitting of the sensor device to child´s body is strongly preferable. In this study, using one acceleration sensor attached to the upper arm, AR in cases of adults and children were evaluated using several orthodox classifiers and self-organizing map (SOM). Through the several types of validation, effectiveness, issues, and benefits of their methods are discussed.
Keywords :
acceleration measurement; body sensor networks; pattern classification; psychology; self-organising feature maps; wearable computers; Kinder-GuaRdian; acceleration sensor; child body; children activity recognition; growing process; kindergarten; orthodox classifiers; self-organizing map; sensor device; support system; Acceleration; Accuracy; Humans; Pediatrics; Robots; Sensors; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
RO-MAN, 2012 IEEE
Conference_Location :
Paris
ISSN :
1944-9445
Print_ISBN :
978-1-4673-4604-7
Electronic_ISBN :
1944-9445
Type :
conf
DOI :
10.1109/ROMAN.2012.6343825
Filename :
6343825
Link To Document :
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