{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T01:09:25Z","timestamp":1722992965040},"reference-count":10,"publisher":"Fuji Technology Press Ltd.","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Robot. Mechatron.","JRM"],"published-print":{"date-parts":[[2012,10,20]]},"abstract":"This paper describes the development of a fall database for biomechanical simulation. First, data on children\u2019s daily activities were collected at a \u201csensor home,\u201d 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\u2019s attributes, and fall situations.<\/jats:p>","DOI":"10.20965\/jrm.2012.p0802","type":"journal-article","created":{"date-parts":[[2016,4,14]],"date-time":"2016-04-14T06:23:03Z","timestamp":1460614983000},"page":"802-810","source":"Crossref","is-referenced-by-count":0,"title":["Development of Database of Children\u2019s Fall Dynamics Using Daily Behavior Observing System"],"prefix":"10.20965","volume":"24","author":[{"given":"Hiroyuki","family":"Kakara","sequence":"first","affiliation":[]},{"name":"Department of Mechanical Engineering, Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda-shi, Chiba 278-8510, Japan","sequence":"first","affiliation":[]},{"given":"Yoshifumi","family":"Nishida","sequence":"additional","affiliation":[]},{"given":"Sang Min","family":"Yoon","sequence":"additional","affiliation":[]},{"given":"Hiroshi","family":"Mizoguchi","sequence":"additional","affiliation":[]},{"given":"Tatsuhiro","family":"Yamanaka","sequence":"additional","affiliation":[]},{"name":"Digital Human Research Center, National Institute of Advanced Industrial Science and Technology, 2-3-26 Aomi, Koto-ku, Tokyo 135-0064, Japan","sequence":"additional","affiliation":[]},{"name":"School of Computer Science, Kookmin University, 861-1 Chungnung-dong, Songbuk-gu, Seoul 136-702, Korea","sequence":"additional","affiliation":[]},{"name":"Ryokuen Children\u2019s Clinic, 2-1-6-201 Ryokuen, Midori-ku, Yokohama-shi, Kanagawa 245-0002, Japan","sequence":"additional","affiliation":[]}],"member":"8550","published-online":{"date-parts":[[2012,10,20]]},"reference":[{"key":"key-10.20965\/jrm.2012.p0802-1","unstructured":"National Institute of Advanced Industrial Science and Technology, \u201cProject of Building a Safety-Knowledge-Recycling-Based Society 2009,\u201d 2009 (in Japanese)."},{"key":"key-10.20965\/jrm.2012.p0802-2","doi-asserted-by":"crossref","unstructured":"T. R. Miller, E. O. Romano, and R. S. Spicer, \u201cThe cost of childhood unintentional injuries and the value of prevention,\u201d The Future of Children (issue on Unintentional injuries in childhood), Vol.10, pp. 137-163, 2000.","DOI":"10.2307\/1602828"},{"key":"key-10.20965\/jrm.2012.p0802-3","unstructured":"World Health Organization, \u201cWorld Report on Child Injury Prevention,\u201d M. Peden, K. Oyegbite, J. Ozanne-Smith, A. A. Hyder, C. Branche, A. F. Rahman, F. Rivara, and K. Bartolomeos (Eds.), 2008."},{"key":"key-10.20965\/jrm.2012.p0802-4","unstructured":"Y. Miyazaki, Y. Murai, Y. Nishida, T. Yamanaka, M. Mochimaru, and M. Kouchi. \u201cHead Injury Analysis In Case of Fall from Playground Equipment Using Child Fall Simulator,\u201d The impact of Technology on Sport, Vol.3, pp. 417-421, 2009."},{"key":"key-10.20965\/jrm.2012.p0802-5","unstructured":"Y. Miyazaki, Y. Nishida, Y. Motomura, T. Yamanaka, and I. Kakefuda, \u201cComputer Simulation of Childhood Head Injury Due To Fall From Playground Equipment,\u201d The 2nd Asia Pacific Injury Prevention Conference, November 2008."},{"key":"key-10.20965\/jrm.2012.p0802-6","doi-asserted-by":"crossref","unstructured":"A. K. Bourke, J. V. O\u2019Brien, and G. M. Lyons, \u201cEvaluation of a threshold-based tri-axial accelerometer fall detection algorithm,\u201d Gait and Posture, Vol.26, Issue 2, pp. 194-199, November 2006.","DOI":"10.1016\/j.gaitpost.2006.09.012"},{"key":"key-10.20965\/jrm.2012.p0802-7","unstructured":"T. Zhang, J. Wang, P. Liu, and J. Hou, \u201cFall Detection by Embedding an Accelerometer in Cellphone and Using KFD Algorithm,\u201d IJCSNS Int. J. of Computer Science and Network Security, Vol.6, No.10, pp. 277-284, October 2006."},{"key":"key-10.20965\/jrm.2012.p0802-8","unstructured":"S. Robinovitch, F. Feldman, D.Wan, O. Aziz, and T. Sarraf, \u201cVideo recording of real-life falls in long term care provides new insight on the cause and circumstances offalls in older adults,\u201d Proc. of the XIX Conf. of the Int. Society for Posture & Gait Research Bologna, p. 80, June 2009."},{"key":"key-10.20965\/jrm.2012.p0802-9","unstructured":"M. J. Gibson et al., \u201cFalls in later life,\u201d Improving the Health of Older People: a World View. New York: Oxford University Press, pp. 296-315, 1990."},{"key":"key-10.20965\/jrm.2012.p0802-10","unstructured":"H. Kakara, Y. Nishida, Y. Miyazaki, H. Mizoguchi, and T. Yamanaka, \u201cDevelopment of Database of Fall Dynamics Probabilistic Distribution for Biomechanical Simulation,\u201d The Proc. of The 2011 Int. Conf. on Modeling, Simulation and Visualization Methods, pp. 82-88, July 19, 2011"}],"container-title":["Journal of Robotics and Mechatronics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.fujipress.jp\/main\/wp-content\/themes\/Fujipress\/phyosetsu.php?ppno=ROBOT002400050009","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,6]],"date-time":"2019-09-06T16:47:55Z","timestamp":1567788475000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.fujipress.jp\/jrm\/rb\/robot002400050802"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,10,20]]},"references-count":10,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2012,10,20]]},"published-print":{"date-parts":[[2012,10,20]]}},"URL":"https:\/\/doi.org\/10.20965\/jrm.2012.p0802","relation":{},"ISSN":["1883-8049","0915-3942"],"issn-type":[{"type":"electronic","value":"1883-8049"},{"type":"print","value":"0915-3942"}],"subject":[],"published":{"date-parts":[[2012,10,20]]}}}