{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T22:08:16Z","timestamp":1769724496887,"version":"3.49.0"},"reference-count":15,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2020,5,18]],"date-time":"2020-05-18T00:00:00Z","timestamp":1589760000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2020,5,18]],"date-time":"2020-05-18T00:00:00Z","timestamp":1589760000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2020,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Ten thousand children are admitted to emergency rooms due to accidents every year in Tokyo. The most frequent accident is a fall accident. Fall accidents may occur when climbing to a high place in a daily living space. Since injury prevention by human supervision does not work well, the World Health Organization recommends an environmental modification approach as an effective preventive countermeasure to this problem. Predicting children\u2019s behavior is necessary in order to improve the environment. However, even for advanced human modeling technology, predicting where children can climb in everyday life situations remains difficult. In the present study, the authors developed a new method for predicting places that children can climb in a data-driven manner by integrating cameras, a behavior recognition system (OpenPose), and a climbing motion planning algorithm based on a rapidly exploring random tree. Thirty five children participated in an experiment to collect climbing posture data. A simulation is performed based on the posture database and allows us to visually understand how children climb up in daily living space. This makes it possible to improve to achieve a safe environment for children without the need for specialized knowledge, which is useful for parents, nursery teachers, nurses, etc. The present paper describes fundamental functions of the developed system and presents an evaluation of the feasibility of the prediction function.<\/jats:p>","DOI":"10.1007\/s12652-020-02097-6","type":"journal-article","created":{"date-parts":[[2020,5,18]],"date-time":"2020-05-18T21:02:50Z","timestamp":1589835770000},"page":"5845-5855","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Data-driven child behavior prediction system based on posture database for fall accident prevention in a daily living space"],"prefix":"10.1007","volume":"11","author":[{"given":"Tsubasa","family":"Nose","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Koji","family":"Kitamura","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mikiko","family":"Oono","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoshifumi","family":"Nishida","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michiko","family":"Ohkura","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,5,18]]},"reference":[{"issue":"2","key":"2097_CR1","doi-asserted-by":"publisher","first-page":"103","DOI":"10.14358\/PERS.81.2.103","volume":"81","author":"YI Abdel-Aziz","year":"2015","unstructured":"Abdel-Aziz YI, Karara HM, Michael H (2015) Direct linear transformation from comparator coordinates into object space coordinates in close-range photogrammetry. Photogr Eng Remote Sens 81(2):103\u2013107. https:\/\/doi.org\/10.14358\/PERS.81.2.103","journal-title":"Photogr Eng Remote Sens"},{"key":"2097_CR2","doi-asserted-by":"publisher","unstructured":"Berenson D, Srinivasa SS, Ferguson D, Kuffner JJ (2009) Manipulation planning on constraint manifolds. In: 2009 IEEE international conference on robotics and automation. pp 625\u2013632. https:\/\/doi.org\/10.1109\/ROBOT.2009.5152399","DOI":"10.1109\/ROBOT.2009.5152399"},{"key":"2097_CR3","doi-asserted-by":"publisher","unstructured":"Cao Z, Simon T, Wei SE, Sheikh Y (2017) Realtime multi-person 2D pose estimation using part affinity fields. In: 2017 IEEE conference on computer vision and pattern recognition. pp 7291\u20137299. https:\/\/doi.org\/10.1109\/CVPR.2017.143","DOI":"10.1109\/CVPR.2017.143"},{"key":"2097_CR4","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-019-01600-y","author":"JJ Gracewell","year":"2019","unstructured":"Gracewell JJ, Pavalarajan S (2019) Fall detection based on posture classification for smart home environment. J Ambient Intell Human Comput. https:\/\/doi.org\/10.1007\/s12652-019-01600-y","journal-title":"J Ambient Intell Human Comput"},{"key":"2097_CR5","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511546877","volume-title":"Planning algorithms","author":"SM Lavalle","year":"2006","unstructured":"Lavalle SM (2006) Planning algorithms. Cambridge University Press, Cambridge"},{"key":"2097_CR6","doi-asserted-by":"publisher","first-page":"1527","DOI":"10.1007\/s12652-018-0724-4","volume":"10","author":"A Makhlouf","year":"2019","unstructured":"Makhlouf A, Boudouane I, Saadia N, Cherif AR (2019) Ambient assistance service for fall and heart problem detection. J Ambient Intell Human Comput 10:1527\u20131546. https:\/\/doi.org\/10.1007\/s12652-018-0724-4","journal-title":"J Ambient Intell Human Comput"},{"issue":"7","key":"2097_CR7","doi-asserted-by":"publisher","first-page":"768","DOI":"10.1093\/jpepsy\/jsw083","volume":"42","author":"BA Morrongiello","year":"2016","unstructured":"Morrongiello BA, Hou S, Bell M, Walton K, Filion AJ, Haines J (2016) Supervising for home safety program: a randomized controlled trial (RCT) testing community-based group delivery. J Pediatr Psychol 42(7):768\u2013778. https:\/\/doi.org\/10.1093\/jpepsy\/jsw083","journal-title":"J Pediatr Psychol"},{"key":"2097_CR8","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1016\/j.procs.2017.08.326","volume":"113","author":"Y Nishida","year":"2017","unstructured":"Nishida Y, Kitamura K, Yamamoto H, Takahashi Y, Mizoguchi H (2017) Living function resilient service using a mock living lab and real living labs: development of balcony-IoT and handrail-IoT for healthcare. Proc Comput Sci 113:121\u2013129. https:\/\/doi.org\/10.1016\/j.procs.2017.08.326","journal-title":"Proc Comput Sci"},{"key":"2097_CR9","doi-asserted-by":"publisher","unstructured":"Nomori K, Nishida Y, Motomura Y, Yamanaka T, Komatsubara A (2009) Developing a control model of infant climbing behavior for injury prevention. In: 2009 7th international conference on ICT and knowledge engineering. pp 50\u201356. https:\/\/doi.org\/10.1109\/ICTKE.2009.5397337","DOI":"10.1109\/ICTKE.2009.5397337"},{"key":"2097_CR10","doi-asserted-by":"publisher","unstructured":"Oono M, Kitamura K, Nishida Y (2017) Development of child climbing behavior video database. In: Arezes P (eds) Advances in Safety Management and Human Factors. AHFE 2017. Advances in Intelligent Systems and Computing. pp 340\u2013346. https:\/\/doi.org\/10.1007\/978-3-319-60525-8_35","DOI":"10.1007\/978-3-319-60525-8_35"},{"key":"2097_CR11","unstructured":"Peden M, Oyegbite K, Ozanne-Smith J, Hyder AA, Branche C, Rahman AKMF, Rivara F, Bartolomeos K (2008) World report on child injury prevention, World Health Organization"},{"issue":"e1","key":"2097_CR12","doi-asserted-by":"publisher","first-page":"e63","DOI":"10.1136\/injuryprev-2013-041128","volume":"21","author":"PG Schnitzer","year":"2015","unstructured":"Schnitzer PG, Dowd MD, Kruse RL, Morrongiello BA (2015) Supervision and risk of unintentional injury in young children. Injury Prevent 21(e1):e63\u2013e70. https:\/\/doi.org\/10.1136\/injuryprev-2013-041128","journal-title":"Injury Prevent"},{"key":"2097_CR13","unstructured":"Tokyo Fire Department (2018) Actual condition of daily life accident from the viewpoint of emergency transportation data. https:\/\/www.tfd.metro.tokyo.jp\/lfe\/topics\/nichijou.html. Accessed 18 Dec 2019"},{"key":"2097_CR14","doi-asserted-by":"publisher","unstructured":"Toshev A, Szegedy C (2014) DeepPose: human pose estimation via deep neural networks. In: 2014 IEEE conference on computer vision and pattern recognition. pp 1653\u20131660. https:\/\/doi.org\/10.1109\/CVPR.2014.214","DOI":"10.1109\/CVPR.2014.214"},{"issue":"2605","key":"2097_CR15","first-page":"2579","volume":"9","author":"D Van der Maaten","year":"2008","unstructured":"Van der Maaten D, Hinton G (2008) Visualizing data using t-SNE. J Mach Learn Res 9(2605):2579\u20132605","journal-title":"J Mach Learn Res"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-020-02097-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12652-020-02097-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-020-02097-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,17]],"date-time":"2021-05-17T23:37:29Z","timestamp":1621294649000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12652-020-02097-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,18]]},"references-count":15,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2020,12]]}},"alternative-id":["2097"],"URL":"https:\/\/doi.org\/10.1007\/s12652-020-02097-6","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"value":"1868-5137","type":"print"},{"value":"1868-5145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,5,18]]},"assertion":[{"value":"30 December 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 April 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 May 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}