JRM Vol.24 No.5 pp. 802-810
doi: 10.20965/jrm.2012.p0802


Development of Database of Children’s Fall Dynamics Using Daily Behavior Observing System

Hiroyuki Kakara*1,*2, Yoshifumi Nishida*2, Sang Min Yoon*3,
Hiroshi Mizoguchi*1,*2, and Tatsuhiro Yamanaka*4

*1Department of Mechanical Engineering, Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda-shi, Chiba 278-8510, Japan

*2Digital Human Research Center, National Institute of Advanced Industrial Science and Technology, 2-3-26 Aomi, Koto-ku, Tokyo 135-0064, Japan

*3School of Computer Science, Kookmin University, 861-1 Chungnung-dong, Songbuk-gu, Seoul 136-702, Korea

*4Ryokuen Children’s Clinic, 2-1-6-201 Ryokuen, Midori-ku, Yokohama-shi, Kanagawa 245-0002, Japan

March 1, 2012
July 4, 2012
October 20, 2012
childhood injury prevention, daily behavior, fall database, fall dynamics

This paper describes the development of a fall database for biomechanical simulation. First, data on children’s daily activities were collected at a “sensor home,” which is a imitation daily living space. The sensor-based home comprises a video-surveillance system embedded into a daily-living environment and a wearable acceleration-gyro sensor. Falls were then detected from sensor data using a fall detection algorithm that we developed, and videos of detected falls were extracted from long-time recorded video. Extracted videos were used for fall motion analysis. A new Computer Vision (CV) algorithm was developed to automate fall motion analysis. Using the CV algorithm, fall motion data were accumulated into a database. The database allows a user to perform conditional searches for fall data by inputting search conditions, such as a child’s attributes, and fall situations.

Cite this article as:
Hiroyuki Kakara, Yoshifumi Nishida, Sang Min Yoon,
Hiroshi Mizoguchi, and Tatsuhiro Yamanaka, “Development of Database of Children’s Fall Dynamics Using Daily Behavior Observing System,” J. Robot. Mechatron., Vol.24, No.5, pp. 802-810, 2012.
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Last updated on Jun. 29, 2022