{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T16:23:22Z","timestamp":1780071802503,"version":"3.54.0"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2019,9,24]],"date-time":"2019-09-24T00:00:00Z","timestamp":1569283200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,9,24]],"date-time":"2019-09-24T00:00:00Z","timestamp":1569283200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2020,4]]},"DOI":"10.1007\/s12652-019-01447-3","type":"journal-article","created":{"date-parts":[[2019,9,24]],"date-time":"2019-09-24T17:03:55Z","timestamp":1569344635000},"page":"1727-1747","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Detecting deviations from activities of daily living routines using kinect depth maps and power consumption data"],"prefix":"10.1007","volume":"11","author":[{"given":"Hossein","family":"Pazhoumand-Dar","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leisa J.","family":"Armstrong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amiya Kumar","family":"Tripathy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,9,24]]},"reference":[{"key":"1447_CR1","doi-asserted-by":"crossref","unstructured":"Alcal\u00e1 J, Parson O, Rogers A (2015) Detecting anomalies in activities of daily living of elderly residents via energy disaggregation and cox processes. In: Proceedings of the 2nd ACM international conference on embedded systems for energy-efficient built environments, ACM, pp 225\u2013234","DOI":"10.1145\/2821650.2821654"},{"key":"1447_CR2","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1016\/j.cviu.2015.04.005","volume":"140","author":"T Banerjee","year":"2015","unstructured":"Banerjee T, Keller JM, Popescu M, Skubic M (2015) Recognizing complex instrumental activities of daily living using scene information and fuzzy logic. Comput Vis Image Underst 140:68\u201382","journal-title":"Comput Vis Image Underst"},{"key":"1447_CR3","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.pmcj.2013.02.002","volume":"12","author":"C Belley","year":"2014","unstructured":"Belley C, Gaboury S, Bouchard B, Bouzouane A (2014) An efficient and inexpensive method for activity recognition within a smart home based on load signatures of appliances. Pervasiv Mob Comput 12:58\u201378","journal-title":"Pervasiv Mob Comput"},{"key":"1447_CR4","doi-asserted-by":"publisher","first-page":"2011","DOI":"10.1109\/TCE.2010.5606359","volume":"56","author":"HS Cho","year":"2010","unstructured":"Cho HS, Yamazaki T, Hahn M (2010) AERO: extraction of user\u2019s activities from electric power consumption data. Consumer Electron IEEE Trans 56:2011\u20132018","journal-title":"Consumer Electron IEEE Trans"},{"key":"1447_CR5","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1016\/j.ijnurstu.2014.05.010","volume":"52","author":"V Claes","year":"2015","unstructured":"Claes V, Devriendt E, Tournoy J, Milisen K (2015) Attitudes and perceptions of adults of 60\u00a0years and older towards in-home monitoring of the activities of daily living with contactless sensors: an explorative study. Int J Nurs Stud 52:134\u2013148","journal-title":"Int J Nurs Stud"},{"key":"1447_CR6","doi-asserted-by":"crossref","unstructured":"Clement J, Ploennigs J, Kabitzsch K (2014) Detecting activities of daily living with smart meters. In: Ambient assisted living, Springer, New York, pp 143\u2013160","DOI":"10.1007\/978-3-642-37988-8_10"},{"key":"1447_CR7","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1109\/MSP.2015.2503881","volume":"33","author":"C Debes","year":"2016","unstructured":"Debes C, Merentitis A, Sukhanov S, Niessen M, Frangiadakis N, Bauer A (2016) Monitoring activities of daily living in smart homes: understanding human behavior. IEEE Signal Process Magn 33:81\u201394","journal-title":"IEEE Signal Process Magn"},{"key":"1447_CR8","doi-asserted-by":"crossref","unstructured":"Elbert D, Storf H, Eisenbarth M, \u00dcnalan \u00d6, Schmitt M (2011) An approach for detecting deviations in daily routine for long-term behavior analysis. In: pervasive computing technologies for healthcare (PervasiveHealth), 2011 5th international conference on, IEEE, pp 426\u2013433","DOI":"10.4108\/icst.pervasivehealth.2011.246089"},{"key":"1447_CR9","doi-asserted-by":"publisher","first-page":"503","DOI":"10.3233\/AIS-130222","volume":"5","author":"S Enno-Edzard","year":"2013","unstructured":"Enno-Edzard S, Thomas F, Marco E, Melina F, Andreas H (2013) Modeling individual healthy behavior using home automation sensor data: results from a field trial. J Ambient Intell Smart Environ 5:503\u2013523","journal-title":"J Ambient Intell Smart Environ"},{"key":"1447_CR10","unstructured":"Ester M, Kriegel H-P, Sander J, Xu X (1996) A density-based algorithm for discovering clusters in large spatial databases with noise. In: Kdd, vol 34, pp 226\u2013231"},{"key":"1447_CR11","doi-asserted-by":"publisher","first-page":"656","DOI":"10.1109\/TMC.2015.2416186","volume":"15","author":"Y Geng","year":"2016","unstructured":"Geng Y, Chen J, Fu R, Bao G, Pahlavan K (2016) Enlighten wearable physiological monitoring systems: on-body RF characteristics based human motion classification using a support vector machine. IEEE Trans Mob Comput 15:656\u2013671. \nhttps:\/\/doi.org\/10.1109\/TMC.2015.2416186","journal-title":"IEEE Trans Mob Comput"},{"key":"1447_CR12","first-page":"209","volume-title":"Research advances in Alzheimer\u2019s disease and related disorders","author":"L Gustafsson","year":"1995","unstructured":"Gustafsson L et al (1995) Early clinical manifestations and the course of Alzheimer\u2019s disease related to regional cerebral blood flow and neuropathology. In: Iqbal K, Mortimer JA, Winblad B, Wisniewski HM (eds) Research advances in Alzheimer\u2019s disease and related disorders. Wiley Blackwell, Chichester, UK, pp 209\u2013218"},{"key":"1447_CR13","doi-asserted-by":"publisher","first-page":"627","DOI":"10.5014\/ajot.60.6.627","volume":"60","author":"BR Hasselkus","year":"2006","unstructured":"Hasselkus BR (2006) The world of everyday occupation: real people, real lives. Am J Occup Therap 60:627\u2013640","journal-title":"Am J Occup Therap"},{"key":"1447_CR14","unstructured":"Jos A, Oliver P, Alex R (2015) Detecting anomalies in activities of daily living of elderly residents via energy disaggregation and cox processes. In: Paper presented at the proceedings of the 2nd ACM international conference on embedded systems for energy-efficient built environments, Seoul, South Korea,"},{"key":"1447_CR15","unstructured":"Kinect for Windows SDK 2.0 (2015). \nhttp:\/\/www.microsoft.com\/en-au\/download\/details.aspx?id=44561\n\n. Accessed 18 June 2015"},{"key":"1447_CR16","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/S1568-4946(02)00032-7","volume":"2","author":"D Kukolj","year":"2002","unstructured":"Kukolj D (2002) Design of adaptive Takagi\u2013Sugeno\u2013Kang fuzzy models. Appl Soft Comput 2:89\u2013103","journal-title":"Appl Soft Comput"},{"key":"1447_CR17","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1145\/273244.273257","volume":"27","author":"CM Kuok","year":"1998","unstructured":"Kuok CM, Fu A, Wong MH (1998) Mining fuzzy association rules in databases. ACM Sigmod Record 27:41\u201346","journal-title":"ACM Sigmod Record"},{"key":"1447_CR18","doi-asserted-by":"publisher","first-page":"429","DOI":"10.1016\/j.eswa.2016.02.030","volume":"55","author":"J Lundstr\u00f6m","year":"2016","unstructured":"Lundstr\u00f6m J, J\u00e4rpe E, Verikas A (2016) Detecting and exploring deviating behaviour of smart home residents. Expert Syst Appl 55:429\u2013440","journal-title":"Expert Syst Appl"},{"key":"1447_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/S0020-7373(75)80002-2","volume":"7","author":"EH Mamdani","year":"1975","unstructured":"Mamdani EH, Assilian S (1975) An experiment in linguistic synthesis with a fuzzy logic controller. Int J Man Mach Stud 7:1\u201313. \nhttps:\/\/doi.org\/10.1016\/S0020-7373(75)80002-2","journal-title":"Int J Man Mach Stud"},{"key":"1447_CR20","doi-asserted-by":"publisher","first-page":"758","DOI":"10.1109\/TITB.2011.2138149","volume":"15","author":"N Noury","year":"2011","unstructured":"Noury N, Berenguer M, Teyssier H, Bouzid MJ, Giordani M (2011) Building an index of activity of inhabitants from their activity on the residential electrical power line. Inf Technol Biomed IEEE Trans 15:758\u2013766","journal-title":"Inf Technol Biomed IEEE Trans"},{"key":"1447_CR21","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-017-0571-8","author":"H Pazhoumand-Dar","year":"2017","unstructured":"Pazhoumand-Dar H (2017) Fuzzy association rule mining for recognising daily activities using Kinect sensors and a single power meter. J Ambient Intell Hum Comput. \nhttps:\/\/doi.org\/10.1007\/s12652-017-0571-8","journal-title":"J Ambient Intell Hum Comput"},{"key":"1447_CR22","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-018-0990-1","author":"H Pazhoumand-Dar","year":"2018","unstructured":"Pazhoumand-Dar H (2018) FAME-ADL: a data-driven fuzzy approach for monitoring the ADLs of elderly people using Kinect depth maps. J Ambient Intell Hum Comput. \nhttps:\/\/doi.org\/10.1007\/s12652-018-0990-1","journal-title":"J Ambient Intell Hum Comput"},{"key":"1447_CR23","doi-asserted-by":"publisher","first-page":"271","DOI":"10.3109\/17483107.2014.961179","volume":"10","author":"KK Peetoom","year":"2015","unstructured":"Peetoom KK, Lexis MA, Joore M, Dirksen CD, De Witte LP (2015) Literature review on monitoring technologies and their outcomes in independently living elderly people. Disabil Rehabil Assist Technol 10:271\u2013294","journal-title":"Disabil Rehabil Assist Technol"},{"key":"1447_CR24","doi-asserted-by":"publisher","first-page":"4544","DOI":"10.1109\/JSEN.2015.2423562","volume":"15","author":"P Pierleoni","year":"2015","unstructured":"Pierleoni P, Belli A, Palma L, Pellegrini M, Pernini L, Valenti S (2015) A high reliability wearable device for elderly fall detection. Sens J IEEE 15:4544\u20134553","journal-title":"Sens J IEEE"},{"key":"1447_CR25","doi-asserted-by":"publisher","first-page":"368","DOI":"10.1109\/THMS.2016.2641388","volume":"47","author":"J Rafferty","year":"2017","unstructured":"Rafferty J, Nugent CD, Liu J, Chen L (2017) From activity recognition to intention recognition for assisted living within smart homes. IEEE Trans Hum Mach Syst 47:368\u2013379. \nhttps:\/\/doi.org\/10.1109\/THMS.2016.2641388","journal-title":"IEEE Trans Hum Mach Syst"},{"key":"1447_CR26","doi-asserted-by":"crossref","unstructured":"Rahimi S, Chan AD, Goubran RA (2011) Usage monitoring of electrical devices in a smart home. In: 2011 Annual international conference of the IEEE engineering in medicine and biology society, IEEE, pp 5307\u20135310","DOI":"10.1109\/IEMBS.2011.6091313"},{"key":"1447_CR27","doi-asserted-by":"crossref","unstructured":"Ranjan J, Whitehouse K (2015) Rethinking the fusion of technology and clinical practices in functional behavior analysis for the elderly. In: Human behavior understanding, Springer, New York, pp 52\u201365","DOI":"10.1007\/978-3-319-24195-1_5"},{"key":"1447_CR28","doi-asserted-by":"crossref","unstructured":"Srinivasan V, Stankovic J, Whitehouse K (2013) FixtureFinder: discovering the existence of electrical and water fixtures. In: Proceedings of the 12th international conference on Information processing in sensor networks, ACM, pp 115\u2013128","DOI":"10.1145\/2461381.2461398"},{"key":"1447_CR29","unstructured":"Suryadevara NK, Mukhopadhyay SC (2015) Sensor activity pattern (SAP) matching process and outlier detection. In: Smart homes, Springer, New York, pp 159\u2013175"},{"key":"1447_CR30","doi-asserted-by":"publisher","first-page":"1358","DOI":"10.3390\/e17031358","volume":"17","author":"Y Tong","year":"2015","unstructured":"Tong Y, Chen R, Gao J (2015) Hidden state conditional random field for abnormal activity recognition in smart homes. Entropy 17:1358","journal-title":"Entropy"},{"key":"1447_CR31","unstructured":"Wilson C, Lina S, Stankovic V, Liao J, Coleman M, Hauxwell-Baldwin R, Kane T, Firth S, Hassan T (2015) Identifying the time profile of everyday activities in the home using smart meter data. Paper presented at the ECEEE-2015 summer study on energy efficiency, Toulon, France"},{"key":"1447_CR32","unstructured":"World Health Organization (2015) World report on ageing and health. World Health Organization, Geneva"},{"key":"1447_CR33","doi-asserted-by":"publisher","first-page":"e0124068","DOI":"10.1371\/journal.pone.0124068","volume":"10","author":"Y Xiang","year":"2015","unstructured":"Xiang Y, Tang Y-P, Ma B-Q, Yan H-C, Jiang J, Tian X-Y (2015) Remote safety monitoring for elderly persons based on Omni-vision analysis. PLoS One 10:e0124068","journal-title":"PLoS One"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-019-01447-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12652-019-01447-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-019-01447-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,22]],"date-time":"2020-09-22T23:25:33Z","timestamp":1600817133000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12652-019-01447-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9,24]]},"references-count":33,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2020,4]]}},"alternative-id":["1447"],"URL":"https:\/\/doi.org\/10.1007\/s12652-019-01447-3","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"value":"1868-5137","type":"print"},{"value":"1868-5145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,9,24]]},"assertion":[{"value":"2 September 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 August 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 September 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}