{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T18:40:15Z","timestamp":1772822415450,"version":"3.50.1"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319487984","type":"print"},{"value":"9783319487991","type":"electronic"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-48799-1_10","type":"book-chapter","created":{"date-parts":[[2016,11,2]],"date-time":"2016-11-02T11:42:28Z","timestamp":1478086948000},"page":"84-90","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Fall Detection Through Thermal Vision Sensing"],"prefix":"10.1007","author":[{"given":"Joseph","family":"Rafferty","sequence":"first","affiliation":[]},{"given":"Jonathan","family":"Synnott","sequence":"additional","affiliation":[]},{"given":"Chris","family":"Nugent","sequence":"additional","affiliation":[]},{"given":"Gareth","family":"Morrison","sequence":"additional","affiliation":[]},{"given":"Elena","family":"Tamburini","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,11,3]]},"reference":[{"key":"10_CR1","doi-asserted-by":"publisher","first-page":"1635","DOI":"10.1016\/j.ajem.2015.07.044","volume":"33","author":"D Evans","year":"2015","unstructured":"Evans, D., Pester, J., Vera, L., Jeanmonod, D., Jeanmonod, R.: Elderly fall patients triaged to the trauma bay: age, injury patterns, and mortality risk. Am. J. Emerg. Med. 33, 1635\u20131638 (2015)","journal-title":"Am. J. Emerg. Med."},{"key":"10_CR2","doi-asserted-by":"publisher","first-page":"919","DOI":"10.1111\/ijcp.12410","volume":"68","author":"N Gonz\u00e1lez","year":"2014","unstructured":"Gonz\u00e1lez, N., Aguirre, U., Orive, M., Zabala, J., Garc\u00eda-Guti\u00e9rrez, S., Las Hayas, C., Navarro, G., Quintana, J.M.: Health-related quality of life and functionality in elderly men and women before and after a fall-related wrist fracture. Int. J. Clin. Pract. 68, 919\u2013928 (2014)","journal-title":"Int. J. Clin. Pract."},{"key":"10_CR3","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1136\/ip.2005.011015","volume":"12","author":"JA Stevens","year":"2006","unstructured":"Stevens, J.A., Corso, P.S., Finkelstein, E.A., Miller, T.R.: The costs of fatal and non-fatal falls among older adults. Inj. Prev. 12, 290\u2013295 (2006)","journal-title":"Inj. Prev."},{"key":"10_CR4","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1093\/ageing\/30.suppl_4.3","volume":"30","author":"T Masud","year":"2001","unstructured":"Masud, T., Morris, R.O.: Epidemiology of falls. Age Ageing 30, 3\u20137 (2001)","journal-title":"Age Ageing"},{"key":"10_CR5","first-page":"f6234","volume":"347","author":"F El-Khoury","year":"2013","unstructured":"El-Khoury, F., Cassou, B., Charles, M.-A., Dargent-Molina, P.: The effect of fall prevention exercise programmes on fall induced injuries in community dwelling older adults: systematic review and meta-analysis of randomised controlled trials. BMJ 347, f6234 (2013)","journal-title":"BMJ"},{"key":"10_CR6","doi-asserted-by":"crossref","unstructured":"Coppedge, N.: Using a standardized fall prevention tool decreases fall rates. Nurs. (Lond.) 46, 64\u201367, 4p (2016)","DOI":"10.1097\/01.NURSE.0000480616.85167.05"},{"key":"10_CR7","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511722233","volume-title":"Falls in Older People: Risk Factors and Strategies for Prevention","author":"SR Lord","year":"2007","unstructured":"Lord, S.R., Sherrington, C., Menz, H.B., Close, J.C.T.: Falls in Older People: Risk Factors and Strategies for Prevention. Cambridge University Press, Cambridge (2007)"},{"key":"10_CR8","first-page":"1","volume":"7","author":"F Bagal","year":"2012","unstructured":"Bagal, F., Becker, C., Cappello, A., Chiari, L., Aminian, K., Hausdorff, J.M., Zijlstra, W., Klenk, J.: Evaluation of accelerometer-based fall detection algorithms on real-world falls. PLoS One 7, 1\u20139 (2012)","journal-title":"PLoS One"},{"key":"10_CR9","doi-asserted-by":"crossref","unstructured":"Khan, S.S., Hoey, J.: Review of fall detection techniques: a data availability perspective (2016)","DOI":"10.1016\/j.medengphy.2016.10.014"},{"key":"10_CR10","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Conly, C., Athitsos, V.: A survey on vision-based fall detection. In: Proceedings of 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, pp. 46:1\u201346:7 (2015)","DOI":"10.1145\/2769493.2769540"},{"key":"10_CR11","unstructured":"Schwickert, L., Becker, C., Lindemann, U., Mar\u00e9chal, C., Bourke, A., Chiari, L., Helbostad, J.L., Zijlstra, W., Aminian, K., Todd, C., Consensus Group.: Fall detection with body-worn sensors. Z. Gerontol. Geriatr. 46, 706\u2013719 (2013)"},{"key":"10_CR12","doi-asserted-by":"publisher","first-page":"12900","DOI":"10.3390\/s140712900","volume":"14","author":"N Pannurat","year":"2014","unstructured":"Pannurat, N., Thiemjarus, S., Nantajeewarawat, E.: Automatic fall monitoring: a review. Sens. (Basel) 14, 12900\u201312936 (2014)","journal-title":"Sens. (Basel)"},{"key":"10_CR13","doi-asserted-by":"publisher","first-page":"6441","DOI":"10.3390\/s150306441","volume":"15","author":"G Ciuti","year":"2015","unstructured":"Ciuti, G., Ricotti, L., Menciassi, A., Dario, P.: MEMS sensor technologies for human centred applications in healthcare, physical activities, safety and environmental sensing: a review on research activities in Italy. Sensors 15, 6441\u20136468 (2015)","journal-title":"Sensors"},{"key":"10_CR14","doi-asserted-by":"crossref","unstructured":"Tsai, P., Yang, Y., Shih, Y., Kung, H.: Gesture-aware fall detection system: design and implementation, pp. 88\u201392 (2015)","DOI":"10.1109\/ICCE-Berlin.2015.7391340"},{"key":"10_CR15","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1109\/TNSRE.2014.2357806","volume":"23","author":"JK Lee","year":"2015","unstructured":"Lee, J.K., Robinovitch, S.N., Park, E.J.: Inertial sensing-based pre-impact detection of falls involving near-fall scenarios. IEEE Trans. Neural Syst. Rehabil. Eng. 23, 258\u2013266 (2015)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"10_CR16","doi-asserted-by":"crossref","unstructured":"Rakhman, A.Z., Nugroho, L.E., Widyawan, K.: Fall detection system using accelerometer and gyroscope based on smartphone. In: Proceedings of 2014 1st International Conference on Information Technology, Computer, Engineering Engineering Green Technology. Its Application a Better Future, ICITACEE 2014, pp. 99\u2013104 (2015)","DOI":"10.1109\/ICITACEE.2014.7065722"},{"key":"10_CR17","doi-asserted-by":"crossref","unstructured":"Aguiar, B., Rocha, T., Silva, J., Sousa, I.: Accelerometer-based fall detection for smartphones. In: Proceedings of IEEE MeMeA 2014 - IEEE International Symposium on Medical Measurements and Applications (2014)","DOI":"10.1109\/MeMeA.2014.6860110"},{"key":"10_CR18","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1016\/j.sigpro.2014.08.021","volume":"110","author":"S Khan","year":"2015","unstructured":"Khan, S., Yu, M., Feng, P., Wang, L., Chambers, J.: An unsupervised acoustic fall detection system using source separation for sound interference suppression. Signal Process. 110, 199\u2013210 (2015)","journal-title":"Signal Process."},{"key":"10_CR19","doi-asserted-by":"crossref","first-page":"215","DOI":"10.3233\/IFS-2012-0548","volume":"24","author":"MV Sokolova","year":"2013","unstructured":"Sokolova, M.V., Serrano-Cuerda, J., Castillo, J.C., Fernndez-Caballero, A.: A fuzzy model for human fall detection in infrared video. J. Intell. Fuzzy Syst. 24, 215\u2013228 (2013)","journal-title":"J. Intell. Fuzzy Syst."},{"key":"10_CR20","doi-asserted-by":"crossref","unstructured":"Debard, G., Baldewijns, G., Goedem, T., Tuytelaars, T., Vanrumste, B.: Camera-based fall detection using a particle filter, pp. 6947\u20136950 (2015)","DOI":"10.1109\/EMBC.2015.7319990"},{"key":"10_CR21","doi-asserted-by":"publisher","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-proof of concept on human mimicking doll falls. IEEE Trans. Biomed. Eng. 56, 2858\u20132867 (2009)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"10_CR22","doi-asserted-by":"crossref","unstructured":"Chaccour, K., Darazi, R.: Smart carpet using differential piezoresistive pressure sensors for elderly fall detection. Presented at the (2015)","DOI":"10.1109\/WiMOB.2015.7347965"},{"key":"10_CR23","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1109\/MSP.2015.2502784","volume":"33","author":"MG Amin","year":"2016","unstructured":"Amin, M.G., Zhang, Y.D., Ahmad, F., Ho, K.C.D.: Radar signal processing for elderly fall detection: the future for in-home monitoring. IEEE Signal Process. Mag. 33, 71\u201380 (2016)","journal-title":"IEEE Signal Process. Mag."},{"key":"10_CR24","doi-asserted-by":"publisher","first-page":"406","DOI":"10.1109\/THMS.2014.2309493","volume":"44","author":"P Loncomilla","year":"2014","unstructured":"Loncomilla, P., Tapia, C., Daud, O., Ruiz-del-Solar, J.: A novel methodology for assessing the fall risk using low-cost and off-the-shelf devices. IEEE Trans. Hum. Mach. Syst. 44, 406\u2013415 (2014)","journal-title":"IEEE Trans. Hum. Mach. Syst."},{"key":"10_CR25","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1109\/MPRV.2004.1316817","volume":"3","author":"A Sixsmith","year":"2004","unstructured":"Sixsmith, A., Johnson, N.: A smart sensor to detect the falls of the elderly. IEEE Pervasive Comput. 3, 42\u201347 (2004)","journal-title":"IEEE Pervasive Comput."},{"key":"10_CR26","doi-asserted-by":"crossref","unstructured":"Rafferty, J., Synnott, J., Nugent, C.: A hybrid rule and machine learning based generic alerting platform for smart environments. Engineering in medicine and biology society. In: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (2016)","DOI":"10.1109\/EMBC.2016.7591949"},{"key":"10_CR27","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1007\/978-3-319-13105-4_2","volume-title":"Ambient Assisted Living and Daily Activities","author":"J Synnott","year":"2014","unstructured":"Synnott, J., Nugent, C., Jeffers, P.: A thermal data simulation tool for the testing of novel approaches to activity recognition. In: Pecchia, L., Chen, L.L., Nugent, C., Bravo, J. (eds.) IWAAL 2014. LNCS, vol. 8868, pp. 10\u201313. Springer, Heidelberg (2014)"}],"container-title":["Lecture Notes in Computer Science","Ubiquitous Computing and Ambient Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-48799-1_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,27]],"date-time":"2020-09-27T02:46:18Z","timestamp":1601174778000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-48799-1_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319487984","9783319487991"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-48799-1_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"3 November 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"UCAmI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Ubiquitous Computing and Ambient Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Las Palmas de Gran Canaria","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 November 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 December 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ucami2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/mami.uclm.es\/ucami-2016\/cfp.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}