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:
H. Kakara, Y. Nishida, S. Yoon, <. Mizoguchi, and T. 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 Sep. 27, 2022