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