{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T15:22:11Z","timestamp":1742916131728,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":4,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811536533"},{"type":"electronic","value":"9789811536540"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2020,4,24]],"date-time":"2020-04-24T00:00:00Z","timestamp":1587686400000},"content-version":"vor","delay-in-days":114,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100002241","name":"Japan Science and Technology Agency","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002241","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Safety technology for everyday activities is strongly needed for children, the elderly, and persons with disabilities. However, it is difficult to understand problems related to everyday life from injury data, medical data, and so on because such data are distributed over multiple organizations and cannot easily be shared or integrated due to privacy protection concerns. To address this issue, our project is developing technologies for integrating and utilizing multi-organizational distributed big data based on security technology. The authors research school safety based on the developed technologies. In this chapter, the authors describe a trend analysis technology for time series injury data, a cliff analysis technology for extracting serious injury situation, and child behavior prediction technology as the necessary functions for finding and predicting serious injuries and evaluating the effectiveness of an intervention. We also present some analysis examples using the developed function. Furthermore, we describe some social implementation projects for injury prevention for the serious injuries found by analyzing injury data using our developed system.<\/jats:p>","DOI":"10.1007\/978-981-15-3654-0_5","type":"book-chapter","created":{"date-parts":[[2020,4,23]],"date-time":"2020-04-23T12:02:40Z","timestamp":1587643360000},"page":"107-132","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Living Safety Testbed Group"],"prefix":"10.1007","author":[{"given":"Koji","family":"Kitamura","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoshifumi","family":"Nishida","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,4,24]]},"reference":[{"key":"5_CR1","doi-asserted-by":"crossref","unstructured":"A. Hirata, K. Kitamura, Y. Nishida, Y. Motomura, H. Mizoguchi, Accident-data-aided design: visualizing typical and potential risks of consumer products by data mining an accident database, in Proceedings of 2013 IEEE\/SICE International Symposium on System Integration (2013), pp. 376\u2013381","DOI":"10.1109\/SII.2013.6776740"},{"key":"5_CR2","doi-asserted-by":"crossref","unstructured":"T. Yamanaka, K. Kitamura, M. Oono, Y. Nishida, Importance of anchoring soccer goal posts based on scientific evidence, in Injury Prevention, vol. 24, supp. 2 (2018), pp. A12","DOI":"10.1136\/injuryprevention-2018-safety.33"},{"issue":"3","key":"5_CR3","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1016\/j.clinbiomech.2003.12.014","volume":"19","author":"N Yoganandan","year":"2004","unstructured":"N. Yoganandan, F.A. Pintar, Biomechanics of temporo-parietal skull fracture. Clin. Biomech. 19(3), 225\u2013239 (2004)","journal-title":"Clin. Biomech."},{"key":"5_CR4","unstructured":"M. Oono, Y. Nishida, K. Kitamura, M. Nonoyama, H. Saito, H. Itakura, Prevention of vaulting box-related injuries in PE class: developing an educational tool by collaboration between physical therapists and artificial intelligence, in The 9th Asian Regional Conference on Safe Communities in Atsugi (2018)"}],"container-title":["Security Infrastructure Technology for Integrated Utilization of Big Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-3654-0_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,23]],"date-time":"2024-07-23T12:37:31Z","timestamp":1721738251000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-15-3654-0_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811536533","9789811536540"],"references-count":4,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-3654-0_5","relation":{},"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"24 April 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}