{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T17:50:33Z","timestamp":1774720233440,"version":"3.50.1"},"reference-count":66,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2019,3,16]],"date-time":"2019-03-16T00:00:00Z","timestamp":1552694400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"The Data Lab"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Artif Intell Rev"],"published-print":{"date-parts":[[2020,2]]},"DOI":"10.1007\/s10462-019-09687-7","type":"journal-article","created":{"date-parts":[[2019,3,16]],"date-time":"2019-03-16T10:02:45Z","timestamp":1552730565000},"page":"1071-1091","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":48,"title":["Fall prediction using behavioural modelling from sensor data in smart homes"],"prefix":"10.1007","volume":"53","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0282-3089","authenticated-orcid":false,"given":"Glenn","family":"Forbes","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5278-4009","authenticated-orcid":false,"given":"Stewart","family":"Massie","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1870-0323","authenticated-orcid":false,"given":"Susan","family":"Craw","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,3,16]]},"reference":[{"issue":"4","key":"9687_CR1","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1145\/2534169.2486039","volume":"43","author":"F Adib","year":"2013","unstructured":"Adib F, Katabi D (2013) See through walls with WiFi!. ACM SIGCOMM Comput Commun Rev 43(4):75\u201386. \nhttps:\/\/doi.org\/10.1145\/2534169.2486039","journal-title":"ACM SIGCOMM Comput Commun Rev"},{"issue":"783","key":"9687_CR2","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1007\/978-3-642-12654-3","volume":"6030","author":"R Aipperspach","year":"2010","unstructured":"Aipperspach R, Cohen E, Canny J (2010) Modeling human behaviour from simple sensors in the home. Proc IEEE Conf Pervasive Comput 6030(783):62\u201379. \nhttps:\/\/doi.org\/10.1007\/978-3-642-12654-3","journal-title":"Proc IEEE Conf Pervasive Comput"},{"key":"9687_CR3","doi-asserted-by":"crossref","unstructured":"Alazrai R, Mowafi Y, Hamad E (2015) A fall prediction methodology for elderly based on a depth camera. In: Engineering in medicine and biology society (EMBC), 2015 37th annual international conference of the IEEE, IEEE, pp 4990\u20134993","DOI":"10.1109\/EMBC.2015.7319512"},{"key":"9687_CR4","doi-asserted-by":"publisher","unstructured":"Albu-Shamah A, Zhan J (2012) Towards an optimizing model for older people at risk of falls. In: 2012 ASE\/IEEE International conference on biomedical computing. pp 55\u201358. \nhttps:\/\/doi.org\/10.1109\/BioMedCom.2012.15","DOI":"10.1109\/BioMedCom.2012.15"},{"key":"9687_CR5","doi-asserted-by":"publisher","unstructured":"Ann OC, Theng LB (2014) Human activity recognition: a review. In: 2014 IEEE international conference on control system, computing and engineering (ICCSCE 2014), pp 389\u2013393. \nhttps:\/\/doi.org\/10.1109\/ICCSCE.2014.7072750","DOI":"10.1109\/ICCSCE.2014.7072750"},{"issue":"4","key":"9687_CR6","doi-asserted-by":"publisher","first-page":"565","DOI":"10.2105\/AJPH.84.4.565","volume":"84","author":"CL Arfken","year":"1994","unstructured":"Arfken CL, Lach HW, Birge SJ, Miller JP (1994) The prevalence and correlates of fear of falling in elderly persons living in the community. Am J Pub Health 84(4):565\u2013570. \nhttps:\/\/doi.org\/10.2105\/AJPH.84.4.565","journal-title":"Am J Pub Health"},{"issue":"12","key":"9687_CR7","doi-asserted-by":"publisher","first-page":"1351","DOI":"10.1109\/TNSRE.2015.2508960","volume":"24","author":"JC Ayena","year":"2016","unstructured":"Ayena JC, Zaibi H, Otis MJ, Menelas BAJ (2016) Home-based risk of falling assessment test using a closed-loop balance model. IEEE Trans Neural Syst Rehabilit Eng 24(12):1351\u20131362. \nhttps:\/\/doi.org\/10.1109\/TNSRE.2015.2508960","journal-title":"IEEE Trans Neural Syst Rehabilit Eng"},{"key":"9687_CR8","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1109\/MDM.2013.30","volume":"1","author":"A Baniukevic","year":"2013","unstructured":"Baniukevic A, Jensen CS, Lu H (2013) Hybrid indoor positioning with Wi-Fi and bluetooth: architecture and performance. Proc IEEE Int Conf Mob Data Manag 1:207\u2013216. \nhttps:\/\/doi.org\/10.1109\/MDM.2013.30","journal-title":"Proc IEEE Int Conf Mob Data Manag"},{"key":"9687_CR9","doi-asserted-by":"publisher","unstructured":"Banuleasa S, Munteanu R, Rusu A, Tont G (2016) IoT system for monitoring vital signs of elderly population. In: Proceedings of the 2016 international conference and exposition on electrical and power engineering, pp 059\u2013064. \nhttps:\/\/doi.org\/10.1109\/ICEPE.2016.7781303","DOI":"10.1109\/ICEPE.2016.7781303"},{"issue":"1A","key":"9687_CR10","doi-asserted-by":"publisher","first-page":"155","DOI":"10.2147\/NDT.S2070","volume":"4","author":"O Beauchet","year":"2008","unstructured":"Beauchet O, Allali G, Berrut G, Hommet C, Dubost V, Assal F (2008) Gait analysis in demented subjects: interests and perspectives. Neuropsychiatr Dis Treat 4(1A):155\u2013160. \nhttps:\/\/doi.org\/10.2147\/NDT.S2070","journal-title":"Neuropsychiatr Dis Treat"},{"issue":"8","key":"9687_CR11","doi-asserted-by":"publisher","first-page":"1787","DOI":"10.1109\/TMC.2013.92","volume":"13","author":"M Bocca","year":"2014","unstructured":"Bocca M, Kaltiokallio O, Patwari N, Venkatasubramanian S (2014) Multiple target tracking with RF sensor networks. IEEE Trans Mob Comput 13(8):1787\u20131800. \nhttps:\/\/doi.org\/10.1109\/TMC.2013.92","journal-title":"IEEE Trans Mob Comput"},{"key":"9687_CR12","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1093\/ageing\/25.2.113","volume":"26","author":"RS Bucks","year":"1996","unstructured":"Bucks RS, Ashworth DL, Wilcock GK, Siegfried K (1996) Assessment of activities of daily living in dementia: development of the Bristol activities of daily living scale. Age Ageing 26:113\u2013120","journal-title":"Age Ageing"},{"key":"9687_CR13","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1007\/3-540-44816-0_27","volume":"2189","author":"PR Cohen","year":"2001","unstructured":"Cohen PR (2001) Fluent learning: elucidating the structure of episodes. Lect Notes Comput Sci (including subser Lect Notes Artif Intell Lect Notes Bioinform) 2189:268\u2013277. \nhttps:\/\/doi.org\/10.1007\/3-540-44816-0_27","journal-title":"Lect Notes Comput Sci (including subser Lect Notes Artif Intell Lect Notes Bioinform)"},{"issue":"1\u20132","key":"9687_CR14","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1007\/s11517-012-0960-2","volume":"51","author":"G Cuaya","year":"2013","unstructured":"Cuaya G, Mu\u00f1oz-Mel\u00e9ndez A, Carrera LN, Morales EF, Qui\u00f1ones I, P\u00e9rez AI, Alessi A (2013) A dynamic bayesian network for estimating the risk of falls from real gait data. Med Biol Eng Comput 51(1\u20132):29\u201337. \nhttps:\/\/doi.org\/10.1007\/s11517-012-0960-2","journal-title":"Med Biol Eng Comput"},{"issue":"10","key":"9687_CR15","doi-asserted-by":"publisher","first-page":"4857","DOI":"10.1109\/TIE.2010.2103538","volume":"58","author":"Sierra A Santos De","year":"2011","unstructured":"De Santos Sierra A, S\u00e1nchez \u00c1vila C, Guerra Casanova J, Bailador Del Pozo G (2011) A stress-detection system based on physiological signals and fuzzy logic. IEEE Trans Ind Electron 58(10):4857\u20134865. \nhttps:\/\/doi.org\/10.1109\/TIE.2010.2103538","journal-title":"IEEE Trans Ind Electron"},{"key":"9687_CR16","unstructured":"Demerjian C (2013) A long look at microsoft\u2019s xbox one kinect sensor. \nhttps:\/\/semiaccurate.com\/2013\/10\/15\/long-look-microsofts-xbox-one-kinect-sensor\/"},{"key":"9687_CR17","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.neucom.2017.02.082","volume":"260","author":"Y Fan","year":"2017","unstructured":"Fan Y, Levine MD, Wen G, Qiu S (2017) A deep neural network for real-time detection of falling humans in naturally occurring scenes. Neurocomputing 260:43\u201358. \nhttps:\/\/doi.org\/10.1016\/j.neucom.2017.02.082","journal-title":"Neurocomputing"},{"key":"9687_CR18","unstructured":"Faragher R, Harle R (2014) An analysis of the accuracy of bluetooth low energy for indoor positioning applications. In: Proceedings of the 27th international technical meeting of the satellite division of the institute of navigation, pp 201\u2013210"},{"issue":"2","key":"9687_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1519\/00139143-200932020-00002","volume":"32","author":"S Fritz","year":"2009","unstructured":"Fritz S, Lusardi M (2009) Walking speed: the sixth vital sign. J Geriatr Phys Ther 32(2):1\u20135. \nhttps:\/\/doi.org\/10.1519\/00139143-200932020-00002","journal-title":"J Geriatr Phys Ther"},{"key":"9687_CR20","unstructured":"Georgia Institute of Technology (2001) Aware home project. \nwww.awarehome.gatech.edu"},{"key":"9687_CR21","unstructured":"Hillyard P, Maas D, Premnath S, Patwari N, Kasera S (2015) Through-wall person localization using transceivers in motion. arXiv preprint \narXiv:1511.06703"},{"key":"9687_CR22","doi-asserted-by":"publisher","unstructured":"Ismail H, Radwan I, Suominen H, Waddington G (2017) Human postural sway estimation from noisy observations. In: 2017 IEEE 12th international conference on automatic face and gesture recognition, pp 454\u2013461. \nhttps:\/\/doi.org\/10.1109\/FG.2017.62","DOI":"10.1109\/FG.2017.62"},{"key":"9687_CR23","doi-asserted-by":"publisher","unstructured":"Jiang S, Zhang B, Wei D (2011) The elderly fall risk assessment and prediction based on gait analysis. In: 2011 IEEE 11th international conference on computer and information technology, pp 176\u2013180. \nhttps:\/\/doi.org\/10.1109\/CIT.2011.82","DOI":"10.1109\/CIT.2011.82"},{"issue":"2","key":"9687_CR24","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.artmed.2015.05.008","volume":"65","author":"JM Juarez","year":"2015","unstructured":"Juarez JM, Ochotorena JM, Campos M, Combi C (2015) Spatiotemporal data visualisation for homecare monitoring of elderly people. Artif Intell Med 65(2):97\u2013111. \nhttps:\/\/doi.org\/10.1016\/j.artmed.2015.05.008","journal-title":"Artif Intell Med"},{"key":"9687_CR25","doi-asserted-by":"publisher","first-page":"914","DOI":"10.1001\/jama.1963.03060120024016","volume":"185","author":"S Katz","year":"1963","unstructured":"Katz S, Ford AB, Moskowitz RW, Jackson BA, Jaffe MW (1963) Studies of illness in the aged. the index of ADL: a standardized measure of biological and psychosocial function. J Am Med Assoc 185:914\u2013919. \nhttps:\/\/doi.org\/10.1001\/jama.1963.03060120024016","journal-title":"J Am Med Assoc"},{"issue":"7","key":"9687_CR26","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1016\/j.jamda.2012.06.010","volume":"13","author":"WD Kearns","year":"2012","unstructured":"Kearns WD, Fozard JL, Becker M, Jasiewicz JM, Craighead JD, Holtsclaw L, Dion C (2012) Path tortuosity in everyday movements of elderly persons increases fall prediction beyond knowledge of fall history, medication use, and standardized gait and balance assessments. J Am Med Dir Assoc 13(7):665\u2013e7","journal-title":"J Am Med Dir Assoc"},{"key":"9687_CR27","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.medengphy.2016.10.014","volume":"39","author":"SS Khan","year":"2017","unstructured":"Khan SS, Hoey J (2017) Review of fall detection techniques: a data availability perspective. Med Eng Phys 39:12\u201322. \nhttps:\/\/doi.org\/10.1016\/j.medengphy.2016.10.014","journal-title":"Med Eng Phys"},{"issue":"1","key":"9687_CR28","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/MPRV.2010.7.Human","volume":"9","author":"E Kim","year":"2010","unstructured":"Kim E, Helal S, Cook D (2010) Human activity recognition and pattern discovery. IEEE Pervasive Comput 9(1):1\u201314. \nhttps:\/\/doi.org\/10.1109\/MPRV.2010.7.Human","journal-title":"IEEE Pervasive Comput"},{"key":"9687_CR29","doi-asserted-by":"publisher","unstructured":"Krenzel D, Warren S, Li K, Natarajan B, Singh G (2012) Wireless slips and falls prediction system. In: Proceedings of the annual international conference of the IEEE engineering in medicine and biology society, EMBS, pp 4042\u20134045. \nhttps:\/\/doi.org\/10.1109\/EMBC.2012.6346854","DOI":"10.1109\/EMBC.2012.6346854"},{"key":"9687_CR30","unstructured":"Lab TD (2018) The data lab innovation centre. \nhttps:\/\/www.thedatalab.com\/"},{"key":"9687_CR31","doi-asserted-by":"publisher","first-page":"1724","DOI":"10.1109\/EMBC.2013.6609852","volume":"2013","author":"J Lee","year":"2013","unstructured":"Lee J, Matsumura K, Yamakoshi KI, Rolfe P, Tanaka S, Yamakoshi T (2013) Comparison between red, green and blue light reflection photoplethysmography for heart rate monitoring during motion. Annu Int Conf IEEE Eng Med Biol Soc 2013:1724\u20137. \nhttps:\/\/doi.org\/10.1109\/EMBC.2013.6609852","journal-title":"Annu Int Conf IEEE Eng Med Biol Soc"},{"key":"9687_CR32","unstructured":"Massachusetts Institute of Technology (2005) House\\_n project. web.mit.edu\/cron\/group\/house\\_n\/"},{"key":"9687_CR33","unstructured":"Massachusetts Institute of Technology (2015) Emerald for home. \nhttp:\/\/www.emeraldforhome.com"},{"issue":"5","key":"9687_CR34","doi-asserted-by":"publisher","first-page":"675","DOI":"10.1007\/s00776-009-1371-6","volume":"14","author":"T Michikawa","year":"2009","unstructured":"Michikawa T, Nishiwaki Y, Takebayashi T, Toyama Y (2009) One-leg standing test for elderly populations. J Orthop Sci 14(5):675\u2013685. \nhttps:\/\/doi.org\/10.1007\/s00776-009-1371-6","journal-title":"J Orthop Sci"},{"key":"9687_CR35","doi-asserted-by":"publisher","first-page":"1304","DOI":"10.1093\/gerona\/60.10.1304","volume":"60A","author":"M Montero-Odasso","year":"2005","unstructured":"Montero-Odasso M et al (2005) Gait velocity as a single predictor of adverse events in healthy seniors aged 75 years and older. J Gerontol 60A:1304\u20131309","journal-title":"J Gerontol"},{"key":"9687_CR36","first-page":"52","volume":"10","author":"M Montero-Odasso","year":"2017","unstructured":"Montero-Odasso M, Sarquis-Adamson Y (2017) Alzheimers update: predicting dementia via gait slowing while talking. Today\u2019s Geriatr Med 10:52","journal-title":"Today\u2019s Geriatr Med"},{"key":"9687_CR37","unstructured":"NHS Improvement (2017) The incidence and costs of inpatient falls in hospitals. \nhttps:\/\/improvement.nhs.uk\/uploads\/documents\/Falls_report_July2017.v2.pdf"},{"issue":"3","key":"9687_CR38","doi-asserted-by":"publisher","first-page":"1216","DOI":"10.1016\/j.cmpb.2012.07.004","volume":"108","author":"N Noury","year":"2012","unstructured":"Noury N, Hadidi T (2012) Computer simulation of the activity of the elderly person living independently in a health smart home. Comput Methods Programs Biomed 108(3):1216\u20131228. \nhttps:\/\/doi.org\/10.1016\/j.cmpb.2012.07.004","journal-title":"Comput Methods Programs Biomed"},{"key":"9687_CR39","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2017\/9474806","volume":"2017","author":"Adri\u00e1n N\u00fa\u00f1ez-Marcos","year":"2017","unstructured":"N\u00fa\u00f1ez-Marcos A, Azkune G, Arganda-Carreras I (2017) Vision-based fall detection with convolutional neural networks. Wireless communications and mobile computing 2017: \nhttps:\/\/doi.org\/10.1155\/2017\/9474806","journal-title":"Wireless Communications and Mobile Computing"},{"key":"9687_CR40","doi-asserted-by":"publisher","unstructured":"Ogawa M, Suzuki R, Otake S, Izutsu T, Iwaya T, Togawa T (2002) Long term remote behavioral monitoring of elderly by using sensors installed in ordinary houses. In: 2nd annual international IEEE-EMBS special topic conference on microtechnologies in medicine and biology, pp 322\u2013325. \nhttps:\/\/doi.org\/10.1109\/MMB.2002.1002339","DOI":"10.1109\/MMB.2002.1002339"},{"issue":"1","key":"9687_CR41","doi-asserted-by":"publisher","first-page":"115","DOI":"10.3390\/s16010115","volume":"16","author":"FJ Ord\u00f3\u00f1ez","year":"2016","unstructured":"Ord\u00f3\u00f1ez FJ, Roggen D (2016) Deep convolutional and lstm recurrent neural networks for multimodal wearable activity recognition. Sensors 16(1):115. \nhttps:\/\/doi.org\/10.3390\/s16010115","journal-title":"Sensors"},{"issue":"5","key":"9687_CR42","doi-asserted-by":"publisher","first-page":"274","DOI":"10.3109\/03091902.2014.909540","volume":"38","author":"A Pfister","year":"2014","unstructured":"Pfister A, West AM, Bronner S, Noah JA (2014) Comparative abilities of microsoft kinect and vicon 3D motion capture for gait analysis. J Med Eng Technol 38(5):274\u2013280","journal-title":"J Med Eng Technol"},{"issue":"1","key":"9687_CR43","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1177\/0193945916662027","volume":"39","author":"LJ Phillips","year":"2017","unstructured":"Phillips LJ, DeRoche CB, Rantz M, Alexander GL, Skubic M, Despins L, Abbott C, Harris BH, Galambos C, Koopman RJ (2017) Using embedded sensors in independent living to predict gait changes and falls. W J Nurs Res 39(1):78\u201394. \nhttps:\/\/doi.org\/10.1177\/0193945916662027","journal-title":"W J Nurs Res"},{"key":"9687_CR44","doi-asserted-by":"publisher","unstructured":"Powers DMW (1998) Applications and explanations of Zipf\u2019s law. In: NeMLaP3\/CoNLL \u201998 proceedings of the joint conferences on new methods in language processing and computational natural language learning, pp 151\u2013160. \nhttps:\/\/doi.org\/10.3115\/1603899.1603924","DOI":"10.3115\/1603899.1603924"},{"key":"9687_CR45","doi-asserted-by":"publisher","first-page":"1069","DOI":"10.1111\/j.1532-5415.2011.03408.x","volume":"59","author":"L Quach","year":"2011","unstructured":"Quach L, Galica AM, Jones RN, Procter-Gray E, Manor B, Hannan MT, Lipsitz LA (2011) The nonlinear relationship between gait speed and falls: the maintenance of balance, independent living, intellect, and zest in the elderly of Boston study. J Am Geriatr Soc 59:1069\u20131073. \nhttps:\/\/doi.org\/10.1111\/j.1532-5415.2011.03408.x","journal-title":"J Am Geriatr Soc"},{"issue":"16","key":"9687_CR46","doi-asserted-by":"publisher","first-page":"6351","DOI":"10.1109\/JSEN.2016.2577708","volume":"16","author":"R Rana","year":"2016","unstructured":"Rana R, Austin D, Jacobs PG, Karunanithi M, Kaye J (2016) Gait velocity estimation using time-interleaved between consecutive passive IR sensor activations. IEEE Sens J 16(16):6351\u20136358. \nhttps:\/\/doi.org\/10.1109\/JSEN.2016.2577708","journal-title":"IEEE Sens J"},{"key":"9687_CR47","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1007\/978-3-319-47175-4_21","volume-title":"Research and Development in Intelligent Systems XXXIII","author":"Sadiq Sani","year":"2016","unstructured":"Sani S, Wiratunga N, Massie S, Cooper K (2016) SELFBACK: activity recognition for self-management of low back pain. In: Research and development in intelligent systems XXXIII: incorporating applications and innovations in intelligent systems XXIV 33, Springer, Berlin, pp 281\u2013294"},{"issue":"4","key":"9687_CR48","doi-asserted-by":"publisher","first-page":"547","DOI":"10.1007\/s10439-005-9068-2","volume":"34","author":"CN Scanaill","year":"2006","unstructured":"Scanaill CN, Carew S, Barralon P, Noury N, Lyons D, Lyons GM (2006) A review of approaches to mobility telemonitoring of the elderly in their living environment. Ann Biomed Eng 34(4):547\u2013563. \nhttps:\/\/doi.org\/10.1007\/s10439-005-9068-2","journal-title":"Ann Biomed Eng"},{"issue":"1","key":"9687_CR49","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1109\/JBHI.2014.2312180","volume":"19","author":"E Stone","year":"2014","unstructured":"Stone E, Skubic M (2014) Fall detection in homes of older adults using the microsoft kinect. IEEE J Biomed Health Inform 19(1):290\u2013301. \nhttps:\/\/doi.org\/10.1109\/JBHI.2014.2312180","journal-title":"IEEE J Biomed Health Inform"},{"issue":"10","key":"9687_CR50","doi-asserted-by":"publisher","first-page":"2925","DOI":"10.1109\/TBME.2013.2266341","volume":"60","author":"EE Stone","year":"2013","unstructured":"Stone EE, Skubic M (2013) Unobtrusive, continuous, in-home gait measurement using the microsoft kinect. IEEE Trans Biomed Eng 60(10):2925\u20132932. \nhttps:\/\/doi.org\/10.1109\/TBME.2013.2266341","journal-title":"IEEE Trans Biomed Eng"},{"issue":"1","key":"9687_CR51","doi-asserted-by":"publisher","first-page":"198","DOI":"10.3390\/s17010198","volume":"17","author":"A Sucerquia","year":"2017","unstructured":"Sucerquia A, L\u00f3pez JD, Vargas-Bonilla JF (2017) SisFall: a fall and movement dataset. Sensors 17(1):198. \nhttps:\/\/doi.org\/10.3390\/s17010198","journal-title":"Sensors"},{"issue":"6","key":"9687_CR52","doi-asserted-by":"publisher","first-page":"1965","DOI":"10.1109\/JSEN.2011.2182341","volume":"12","author":"NK Suryadevara","year":"2012","unstructured":"Suryadevara NK, Mukhopadhyay SC (2012) Wireless sensor network based home monitoring system for wellness determination of elderly. IEEE Sens J 12(6):1965\u20131972. \nhttps:\/\/doi.org\/10.1109\/JSEN.2011.2182341","journal-title":"IEEE Sens J"},{"key":"9687_CR53","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1007\/978-3-540-24646-6_10","volume-title":"Lecture Notes in Computer Science","author":"Emmanuel Munguia Tapia","year":"2004","unstructured":"Tapia EM, Intille SS, Larson K (2004) Activity recognition in the home using simple and ubiquitous sensors. Int Conf Pervasive Comput, pp 158\u2013175. \nhttps:\/\/doi.org\/10.1007\/978-3-540-24646-6_10"},{"key":"9687_CR54","first-page":"1","volume-title":"Exploring the system-wide costs of falls in older people in Torbay","author":"Y Tian","year":"2013","unstructured":"Tian Y, Thompson J, Buck D, Sonola L (2013) Exploring the system-wide costs of falls in older people in Torbay. The King\u2019s Fund, London, pp 1\u201312"},{"key":"9687_CR55","unstructured":"Turner S, Kisser R, Rogmans W (2015) Falls among older adults in the EU-28 : key facts from the available statistics. Tech. rep., Swansea University, EuroSafe, \nhttps:\/\/eupha.org\/repository\/sections\/ipsp\/Factsheet_falls_in_older_adults_in_EU.pdf"},{"issue":"8","key":"9687_CR56","doi-asserted-by":"publisher","first-page":"896","DOI":"10.1093\/gerona\/glp033","volume":"64","author":"J Verghese","year":"2009","unstructured":"Verghese J (2009) Quantitative gait markers and incident fall risk in older adults. J Gerontol Ser A 64(8):896\u2013901. \nhttps:\/\/doi.org\/10.1093\/gerona\/glp033","journal-title":"J Gerontol Ser A"},{"issue":"3","key":"9687_CR57","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1089\/rej.2009.0853","volume":"12","author":"S Vestergaard","year":"2009","unstructured":"Vestergaard S, Patel KV, Bandinelli S, Ferrucci L, Guralnik JM (2009) Characteristics of 400-meter walk test performance and subsequent mortality in older adults. Rejuvenation Res 12(3):177\u2013184. \nhttps:\/\/doi.org\/10.1089\/rej.2009.0853","journal-title":"Rejuvenation Res"},{"key":"9687_CR58","unstructured":"Vygotsky LS (1978) Mind in society: the development of higher mental process"},{"issue":"2","key":"9687_CR59","first-page":"67","volume":"108","author":"M Wallace","year":"2008","unstructured":"Wallace M (2008) Katz index of independence in activities of daily living. Am J Nurs 108(2):67\u201371","journal-title":"Am J Nurs"},{"key":"9687_CR60","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1007\/11428572_5","volume":"3468","author":"D Wilson","year":"2005","unstructured":"Wilson D, Atkeson C (2005) Simultaneous tracking and activity recognition (STAR) using many anonymous, binary sensors. Proc Third Int Conf Pervasive Comput 3468:62\u201379. \nhttps:\/\/doi.org\/10.1007\/11428572_5","journal-title":"Proc Third Int Conf Pervasive Comput"},{"key":"9687_CR61","unstructured":"Wilson M (2017) Microsoft has stopped manufacturing the kinect. \nhttps:\/\/www.fastcompany.com\/90147868\/exclusive-microsoft-has-stopped-manufacturing-the-kinect"},{"key":"9687_CR62","doi-asserted-by":"publisher","unstructured":"Yang SH, Zhang W, Wang Y, Tomizuka M (2013) Fall-prediction algorithm using a neural network for safety enhancement of elderly. In: 2013 CACS international automatic control conference digest, pp 245\u2013249. \nhttps:\/\/doi.org\/10.1109\/CACS.2013.6734140","DOI":"10.1109\/CACS.2013.6734140"},{"key":"9687_CR63","doi-asserted-by":"publisher","unstructured":"Zeng M, Nguyen LT, Yu B, Mengshoel OJ, Zhu J, Wu P, Zhang J (2014) Convolutional neural networks for human activity recognition using mobile sensors. In: Proceedings of the 6th international conference on mobile computing, applications and services 6. \nhttps:\/\/doi.org\/10.4108\/icst.mobicase.2014.257786","DOI":"10.4108\/icst.mobicase.2014.257786"},{"key":"9687_CR64","doi-asserted-by":"publisher","unstructured":"Zhang B, Kanno T, Chen W, Wu G, Wei D (2007) Walking stability by age-a feature analysis based on a fourteen-linkage model. In: 7th IEEE international conference on computer and information technology, pp 145\u2013150. \nhttps:\/\/doi.org\/10.1109\/CIT.2007.4385072","DOI":"10.1109\/CIT.2007.4385072"},{"issue":"2","key":"9687_CR65","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1109\/TSMCC.2010.2052456","volume":"41","author":"F Zhou","year":"2011","unstructured":"Zhou F, Jiao J, Chen S, Zhang D (2011) A case-driven ambient intelligence system for elderly in-home assistance applications. IEEE Trans Syst Man Cybern Part C Appl Rev 41(2):179\u2013189. \nhttps:\/\/doi.org\/10.1109\/TSMCC.2010.2052456","journal-title":"IEEE Trans Syst Man Cybern Part C Appl Rev"},{"issue":"5","key":"9687_CR66","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/s16050596","volume":"16","author":"Y Zhuang","year":"2016","unstructured":"Zhuang Y, Yang J, Li Y, Qi L, El-Sheimy N (2016) Smartphone-based indoor localization with bluetooth low energy beacons. Sensors 16(5):1\u201320. \nhttps:\/\/doi.org\/10.3390\/s16050596","journal-title":"Sensors"}],"container-title":["Artificial Intelligence Review"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-019-09687-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10462-019-09687-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-019-09687-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,3,15]],"date-time":"2020-03-15T00:04:20Z","timestamp":1584230660000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10462-019-09687-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,16]]},"references-count":66,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2020,2]]}},"alternative-id":["9687"],"URL":"https:\/\/doi.org\/10.1007\/s10462-019-09687-7","relation":{},"ISSN":["0269-2821","1573-7462"],"issn-type":[{"value":"0269-2821","type":"print"},{"value":"1573-7462","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,3,16]]},"assertion":[{"value":"16 March 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}