{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T16:00:50Z","timestamp":1780502450258,"version":"3.54.1"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030678340","type":"print"},{"value":"9783030678357","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-67835-7_29","type":"book-chapter","created":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T07:44:49Z","timestamp":1617263089000},"page":"342-353","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Multimodal Sensor Data Analysis for\u00a0Detection of Risk Situations of Fragile People in @home Environments"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3395-3249","authenticated-orcid":false,"given":"Thinhinane","family":"Yebda","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0659-8894","authenticated-orcid":false,"given":"Jenny","family":"Benois-Pineau","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marion","family":"Pech","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0119-7242","authenticated-orcid":false,"given":"H\u00e9l\u00e8ne","family":"Amieva","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8624-3123","authenticated-orcid":false,"given":"Laura","family":"Middleton","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Max","family":"Bergelt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,1,21]]},"reference":[{"issue":"8","key":"29_CR1","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1007\/s10916-019-1365-7","volume":"43","author":"MM Baig","year":"2019","unstructured":"Baig, M.M., Afifi, S., GholamHosseini, H., Mirza, F.: A systematic review of wearable sensors and IoT-based monitoring applications for older adults-a focus on ageing population and independent living. J. Med. Syst. 43(8), 233 (2019)","journal-title":"J. Med. Syst."},{"key":"29_CR2","doi-asserted-by":"crossref","unstructured":"Bellagente, P., et al.: Remote and non-invasive monitoring of elderly in a smart city context. In: 2018 IEEE Sensors Applications Symposium (SAS), pp. 1\u20136. IEEE (2018)","DOI":"10.1109\/SAS.2018.8336732"},{"issue":"1\u20132","key":"29_CR3","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1080\/07370024.2012.656050","volume":"27","author":"AR Doherty","year":"2012","unstructured":"Doherty, A.R., et al.: Experiences of aiding autobiographical memory using the sensecam. Hum.-Comput. Interact. 27(1\u20132), 151\u2013174 (2012)","journal-title":"Hum.-Comput. Interact."},{"issue":"3","key":"29_CR4","doi-asserted-by":"publisher","first-page":"M146","DOI":"10.1093\/gerona\/56.3.M146","volume":"56","author":"LP Fried","year":"2001","unstructured":"Fried, L.P., et al.: Frailty in older adults: evidence for a phenotype. J. Gerontol. Series A: Biol. Sci. Med. Sci. 56(3), M146\u2013M157 (2001)","journal-title":"J. Gerontol. Series A: Biol. Sci. Med. Sci."},{"issue":"10","key":"29_CR5","doi-asserted-by":"publisher","first-page":"2222","DOI":"10.1109\/TNNLS.2016.2582924","volume":"28","author":"K Greff","year":"2016","unstructured":"Greff, K., Srivastava, R.K., Koutn\u00edk, J., Steunebrink, B.R., Schmidhuber, J.: LSTM: a search space odyssey. IEEE Trans. Neural Netw. Learn. Syst. 28(10), 2222\u20132232 (2016)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"29_CR6","doi-asserted-by":"crossref","unstructured":"Gurrin, C., Schoe, K., Joho, H., Munzer, B.: A test collection for interactive lifelog retrieval. In: MMM 2019, the 25th International Conference on MultiMedia Modeling, Thessaloniki, Greece (2019)","DOI":"10.1007\/978-3-030-05710-7_26"},{"issue":"4","key":"29_CR7","doi-asserted-by":"publisher","first-page":"979","DOI":"10.1109\/JBHI.2017.2734803","volume":"22","author":"N Hegde","year":"2017","unstructured":"Hegde, N., Bries, M., Swibas, T., Melanson, E., Sazonov, E.: Automatic recognition of activities of daily living utilizing insole-based and wrist-worn wearable sensors. IEEE J. Biomed. Health Inf. 22(4), 979\u2013988 (2017)","journal-title":"IEEE J. Biomed. Health Inf."},{"issue":"2","key":"29_CR8","doi-asserted-by":"publisher","first-page":"381","DOI":"10.3390\/electronics3020381","volume":"3","author":"N Hegde","year":"2014","unstructured":"Hegde, N., Sazonov, E.: Smartstep: a fully integrated, low-power insole monitor. Electronics 3(2), 381\u2013397 (2014)","journal-title":"Electronics"},{"issue":"8","key":"29_CR9","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"29_CR10","unstructured":"Hopper, L., Newman, E., Joyce, R., Smeaton, A., Irving, K.: Dementia ambient care: home-based monitoring and enablement of people with dementia. In: 9th Panhellenic Conference on Alzheimer\u2019s Disease and 1st Mediterranean on Neurodegenerative Diseases Conference, PICAD 2015, pp. 1\u20134 (2015)"},{"key":"29_CR11","series-title":"Advances in Computer Vision and Pattern Recognition","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-05696-8","volume-title":"Fusion in Computer Vision - Understanding Complex Visual Content","year":"2014","unstructured":"Ionescu, B., Benois-Pineau, J., Piatrik, T., Qu\u00e9not, G. (eds.): Fusion in Computer Vision - Understanding Complex Visual Content. ACVPR. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-05696-8"},{"issue":"3","key":"29_CR12","doi-asserted-by":"publisher","first-page":"743","DOI":"10.1007\/s11042-012-1117-x","volume":"69","author":"S Karaman","year":"2014","unstructured":"Karaman, S., et al.: Hierarchical hidden Markov model in detecting activities of daily living in wearable videos for studies of dementia. Multim. Tools Appl. 69(3), 743\u2013771 (2014)","journal-title":"Multim. Tools Appl."},{"key":"29_CR13","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.jbi.2018.11.003","volume":"89","author":"M Kheirkhahan","year":"2019","unstructured":"Kheirkhahan, M., et al.: A smartwatch-based framework for real-time and online assessment and mobility monitoring. J. Biomed. Inform. 89, 29\u201340 (2019)","journal-title":"J. Biomed. Inform."},{"issue":"5","key":"29_CR14","doi-asserted-by":"publisher","first-page":"1350","DOI":"10.3390\/s18051350","volume":"18","author":"SB Khojasteh","year":"2018","unstructured":"Khojasteh, S.B., Villar, J.R., Chira, C., Gonz\u00e1lez, V.M., De la Cal, E.: Improving fall detection using an on-wrist wearable accelerometer. Sensors 18(5), 1350 (2018)","journal-title":"Sensors"},{"key":"29_CR15","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. CoRR abs\/1412.6980 (2015)"},{"issue":"10","key":"29_CR16","doi-asserted-by":"publisher","first-page":"1675","DOI":"10.3390\/s16101675","volume":"16","author":"Y Lin","year":"2016","unstructured":"Lin, Y., Wang, C., Wang, J., Dou, Z.: A novel dynamic spectrum access framework based on reinforcement learning for cognitive radio sensor networks. Sensors 16(10), 1675 (2016)","journal-title":"Sensors"},{"key":"29_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1007\/978-3-319-59858-1_7","volume-title":"Smart Health","author":"L Maimoon","year":"2017","unstructured":"Maimoon, L., et al.: SilverLink: developing an international smart and connected home monitoring system for senior care. In: Xing, C., Zhang, Y., Liang, Y. (eds.) ICSH 2016. LNCS, vol. 10219, pp. 65\u201377. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-59858-1_7"},{"key":"29_CR18","doi-asserted-by":"crossref","unstructured":"Parant, A.: Blanchet micka\u00ebl, 2017, atlas des s\u00e9niors et du grand \u00e2ge en france. 100 cartes et graphiques pour analyser et comprendre, rennes, presses de l\u2019ehesp, 120 p. Population 73(4), 852\u2013853 (2018)","DOI":"10.3917\/popu.1804.0852"},{"issue":"8","key":"29_CR19","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.: A high reliability wearable device for elderly fall detection. IEEE Sens. J. 15(8), 4544\u20134553 (2015)","journal-title":"IEEE Sens. J."},{"issue":"7","key":"29_CR20","doi-asserted-by":"publisher","first-page":"722","DOI":"10.1093\/gerona\/62.7.722","volume":"62","author":"K Rockwood","year":"2007","unstructured":"Rockwood, K., Mitnitski, A.: Frailty in relation to the accumulation of deficits. J. Gerontol. Ser. A: Biol. Sci. Med. Sci. 62(7), 722\u2013727 (2007)","journal-title":"J. Gerontol. Ser. A: Biol. Sci. Med. Sci."},{"key":"29_CR21","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.yebeh.2015.02.057","volume":"46","author":"S Sabesan","year":"2015","unstructured":"Sabesan, S., Sankar, R.: Improving long-term management of epilepsy using a wearable multimodal seizure detection system. Epilepsy Behav. 46, 56\u201357 (2015)","journal-title":"Epilepsy Behav."},{"key":"29_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1007\/978-3-319-39862-4_12","volume-title":"Distributed, Ambient and Pervasive Interactions","author":"D Seo","year":"2016","unstructured":"Seo, D., Yoo, B., Ko, H.: Data-driven smart home system for elderly people based on web technologies. In: Streitz, N., Markopoulos, P. (eds.) DAPI 2016. LNCS, vol. 9749, pp. 122\u2013131. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-39862-4_12"},{"key":"29_CR23","unstructured":"Talavera, E., Petkov, N., Radeva, P.: Towards unsupervised familiar scene recognition in egocentric videos. CoRR abs\/1905.04093 (2019)"},{"issue":"3","key":"29_CR24","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1001\/jama.2009.2024","volume":"303","author":"ME Tinetti","year":"2010","unstructured":"Tinetti, M.E., Kumar, C.: The patient who falls: \u201cit\u2019s always a trade-off\u201d. JAMA 303(3), 258\u2013266 (2010)","journal-title":"JAMA"},{"issue":"4","key":"29_CR25","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1007\/s12061-016-9192-4","volume":"10","author":"SS Vemulapalli","year":"2016","unstructured":"Vemulapalli, S.S., et al.: GIS-based spatial and temporal analysis of aging-involved accidents: a case study of three counties in Florida. Appl. Spatial Anal. Policy 10(4), 537\u2013563 (2016). https:\/\/doi.org\/10.1007\/s12061-016-9192-4","journal-title":"Appl. Spatial Anal. Policy"},{"issue":"5\u20136","key":"29_CR26","doi-asserted-by":"publisher","first-page":"801","DOI":"10.1007\/s00779-018-01196-8","volume":"23","author":"D Yacchirema","year":"2019","unstructured":"Yacchirema, D., de Puga, J.S., Palau, C., Esteve, M.: Fall detection system for elderly people using IoT and ensemble machine learning algorithm. Pers. Ubiquit. Comput. 23(5\u20136), 801\u2013817 (2019)","journal-title":"Pers. Ubiquit. Comput."},{"key":"29_CR27","doi-asserted-by":"crossref","unstructured":"Yebda, T., Benois-Pineau, J., Pech, M., Ami\u00e8va, H., Gurrin, C.: Detection of semantic risk situations in lifelog data for improving life of frail people. In: Proceedings of the 2020 International Conference on Multimedia Retrieval, pp. 402\u2013406 (2020)","DOI":"10.1145\/3372278.3391931"},{"issue":"3","key":"29_CR28","doi-asserted-by":"publisher","first-page":"1377","DOI":"10.1109\/JSEN.2014.2357035","volume":"15","author":"J Yuan","year":"2014","unstructured":"Yuan, J., Tan, K.K., Lee, T.H., Koh, G.C.H.: Power-efficient interrupt-driven algorithms for fall detection and classification of activities of daily living. IEEE Sens. J. 15(3), 1377\u20131387 (2014)","journal-title":"IEEE Sens. J."},{"key":"29_CR29","doi-asserted-by":"publisher","first-page":"11364","DOI":"10.1109\/ACCESS.2017.2716359","volume":"5","author":"L Zhu","year":"2017","unstructured":"Zhu, L., Wang, R., Wang, Z., Yang, H.: TagCare: using RFIDs to monitor the status of the elderly living alone. IEEE Access 5, 11364\u201311373 (2017)","journal-title":"IEEE Access"}],"container-title":["Lecture Notes in Computer Science","MultiMedia Modeling"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-67835-7_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T03:22:20Z","timestamp":1671765740000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-67835-7_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030678340","9783030678357"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-67835-7_29","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"21 January 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MMM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Multimedia Modeling","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Prague","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Czech Republic","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 June 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 June 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mmm2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/mmm2021.cz\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"211","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"73","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"35% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2,63","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2,5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}