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Development of childhood fall motion database and browser based on behavior measurements.

Authors :
Kakara, Hiroyuki
Nishida, Yoshifumi
Yoon, Sang Min
Miyazaki, Yusuke
Koizumi, Yoshinori
Mizoguchi, Hiroshi
Yamanaka, Tatsuhiro
Source :
Accident Analysis & Prevention. Oct2013, Vol. 59, p432-442. 11p.
Publication Year :
2013

Abstract

Highlights: [•] We developed a sensor home equipped with an embedded video-surveillance system. [•] We developed a fall detection algorithm and a body axis tracking algorithm. [•] We measured behaviors of 19 children aged 11–50 months old at the sensor home. [•] Fall database includes 105 incidents, and its browser enables conditional searches. [•] The database enables accurate estimation of injury risk resulting from fall. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00014575
Volume :
59
Database :
Academic Search Index
Journal :
Accident Analysis & Prevention
Publication Type :
Academic Journal
Accession number :
90105336
Full Text :
https://doi.org/10.1016/j.aap.2013.06.015