{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:00:05Z","timestamp":1750309205333,"version":"3.41.0"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319600413"},{"type":"electronic","value":"9783319600420"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-60042-0_18","type":"book-chapter","created":{"date-parts":[[2017,6,3]],"date-time":"2017-06-03T08:32:44Z","timestamp":1496478764000},"page":"149-159","source":"Crossref","is-referenced-by-count":7,"title":["Machine Learning Approach to Detect Falls on Elderly People Using Sound"],"prefix":"10.1007","author":[{"given":"Armando","family":"Collado-Villaverde","sequence":"first","affiliation":[]},{"given":"Mar\u00eda D.","family":"R-Moreno","sequence":"additional","affiliation":[]},{"given":"David F.","family":"Barrero","sequence":"additional","affiliation":[]},{"given":"Daniel","family":"Rodriguez","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,6,4]]},"reference":[{"key":"18_CR1","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1023\/B:JOHE.0000016717.22032.03","volume":"29","author":"S Sadigh","year":"2004","unstructured":"Sadigh, S., Reimers, A., Andersson, R., Laflamme, L.: Falls and fall-related injuries among the elderly: a survey of residential-care facilities in a swedish municipality. J. commun. Health 29, 129\u2013140 (2004)","journal-title":"J. commun. Health"},{"key":"18_CR2","doi-asserted-by":"crossref","first-page":"43:1","DOI":"10.1145\/2968215","volume":"49","author":"J Blasco","year":"2016","unstructured":"Blasco, J., Chen, T.M., Tapiador, J., Peris-Lopez, P.: A survey of wearable biometric recognition systems. ACM Comput. Surv. 49, 43:1\u201343:35 (2016)","journal-title":"ACM Comput. Surv."},{"key":"18_CR3","doi-asserted-by":"crossref","unstructured":"Noury, N., Fleury, A., Rumeau, P., Bourke, A.K., Laighin, G.O., Rialle, V., Lundy, J.E.: Fall detection - principles and methods. In: 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 1663\u20131666 (2007)","DOI":"10.1109\/IEMBS.2007.4352627"},{"key":"18_CR4","doi-asserted-by":"crossref","first-page":"607","DOI":"10.1177\/0278364907079278","volume":"26","author":"Y Tao","year":"2007","unstructured":"Tao, Y., Hu, H., Zhou, H.: Integration of vision and inertial sensors for 3d Arm motion tracking in home-based rehabilitation. Int. J. Robot. Res. 26, 607\u2013624 (2007)","journal-title":"Int. J. Robot. Res."},{"key":"18_CR5","first-page":"205","volume":"33","author":"M Lu\u0161trek","year":"2008","unstructured":"Lu\u0161trek, M., Kalu\u017ea, B.: Fall detection and activity recognition with machine learning. Informatica 33, 205\u2013212 (2008)","journal-title":"Informatica"},{"key":"18_CR6","first-page":"3","volume":"7","author":"MV Albert","year":"2012","unstructured":"Albert, M.V., Kording, K., Herrmann, M., Jayaraman, A.: Fall classification by machine learning using mobile phones. PLoS ONE 7, 3\u20138 (2012)","journal-title":"PLoS ONE"},{"key":"18_CR7","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.asoc.2015.10.062","volume":"39","author":"RM Gibson","year":"2016","unstructured":"Gibson, R.M., Amira, A., Ramzan, N., Casaseca-de-la-Higuera, P., Pervez, Z.: Multiple comparator classifier framework for accelerometer-based fall detection and diagnostic. Appl. Soft Comput. J. 39, 94\u2013103 (2016)","journal-title":"Appl. Soft Comput. J."},{"key":"18_CR8","doi-asserted-by":"crossref","unstructured":"Miaou, S.G., Sung, P.H., Huang, C.Y.: A customized human fall detection system using omni-camera images and personal information. In: Conference Proceedings - 1st Transdisciplinary Conference on Distributed Diagnosis and Home Healthcare, D2H2 2006, pp. 39\u201342 (2006)","DOI":"10.1109\/DDHH.2006.1624792"},{"key":"18_CR9","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1109\/TITB.2010.2087385","volume":"15","author":"E Auvinet","year":"2011","unstructured":"Auvinet, E., Multon, F., Saint-Arnaud, A., Rousseau, J., Meunier, J.: Fall detection with multiple cameras: an occlusion-resistant method based on 3-D silhouette vertical distribution. IEEE Trans. Inf. Technol. Biomed. 15, 290\u2013300 (2011)","journal-title":"IEEE Trans. Inf. Technol. Biomed."},{"key":"18_CR10","doi-asserted-by":"crossref","first-page":"2858","DOI":"10.1109\/TBME.2009.2030171","volume":"56","author":"Y Zigel","year":"2009","unstructured":"Zigel, Y., Litvak, D., Gannot, I.: A method for automatic fall detection of elderly people using floor vibrations and sound\u2014proof of concept on human mimicking doll falls. IEEE Trans. Biomed. Eng. 56, 2858\u20132867 (2009)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"18_CR11","doi-asserted-by":"crossref","unstructured":"Litvak, D., Zigel, Y., Gannot, I.: Fall detection of elderly through floor vibrations and sound. In: Conference Proceedings Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE Engineering in Medicine and Biology Society, Annual Conference 2008, pp. 4632\u20134635 (2008)","DOI":"10.1109\/IEMBS.2008.4650245"},{"key":"18_CR12","doi-asserted-by":"crossref","unstructured":"Popescu, M., Member, S., Li, Y., Skubic, M., Rantz, M.: Information to reduce the false alarm rate, pp. 4628\u20134631 (2008)","DOI":"10.1109\/IEMBS.2008.4650244"},{"key":"18_CR13","doi-asserted-by":"crossref","unstructured":"Doukas, C., Maglogiannis, I.: Advanced patient or elder fall detection based on movement and sound data. In: Proceedings of the 2nd International Conference on Pervasive Computing Technologies for Healthcare 2008, PervasiveHealth, pp. 103\u2013107 (2008)","DOI":"10.1109\/PCTHEALTH.2008.4571042"},{"key":"18_CR14","doi-asserted-by":"crossref","unstructured":"Vacher, M., Portet, F., Fleury, A., Noury, N.: Development of audio sensing technology for ambient assisted living: applications and challenges. In: Digital Advances in Medicine, E-Health, and Communication Technologies, p. 148 (2013)","DOI":"10.4018\/978-1-4666-2794-9.ch009"},{"key":"18_CR15","doi-asserted-by":"crossref","first-page":"1291","DOI":"10.1109\/TBME.2012.2186449","volume":"59","author":"Y Li","year":"2012","unstructured":"Li, Y., Ho, K., Popescu, M.: A microphone array system for automatic fall detection. IEEE Trans. Biomed. Eng. 59, 1291\u20131301 (2012)","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"2014","key":"18_CR16","first-page":"178","volume":"37","author":"S Chaudhuri","year":"2001","unstructured":"Chaudhuri, S., Thompson, H., Demiris, G.: Fall detection devices and their use with older adults: a systematic review. J. Geriatr. Phys. Ther. 37(2014), 178 (2001)","journal-title":"J. Geriatr. Phys. Ther."}],"container-title":["Lecture Notes in Computer Science","Advances in Artificial Intelligence: From Theory to Practice"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-60042-0_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T23:32:05Z","timestamp":1750289525000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-60042-0_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319600413","9783319600420"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-60042-0_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}