{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:43:12Z","timestamp":1742913792395,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030493417"},{"type":"electronic","value":"9783030493424"}],"license":[{"start":{"date-parts":[[2020,8,15]],"date-time":"2020-08-15T00:00:00Z","timestamp":1597449600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,8,15]],"date-time":"2020-08-15T00:00:00Z","timestamp":1597449600000},"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\/978-3-030-49342-4_28","type":"book-chapter","created":{"date-parts":[[2020,8,14]],"date-time":"2020-08-14T11:49:30Z","timestamp":1597405770000},"page":"287-297","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["An Autonomous Fallers Monitoring Kit: Release 0.0"],"prefix":"10.1007","author":[{"given":"Enrique","family":"de la Cal","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alvaro","family":"DaSilva","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mirko","family":"F\u00e1\u00f1ez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jose Ram\u00f3n","family":"Villar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Javier","family":"Sedano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Victor","family":"Su\u00e1rez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,8,15]]},"reference":[{"key":"28_CR1","unstructured":"American Geriatrics\u00a0Society, B.G.S.: Ags\/bgs clinical practice guideline: prevention of falls in older persons. Report, American Geriatrics Society, British Geriatrics Society (2010)"},{"key":"28_CR2","doi-asserted-by":"publisher","first-page":"e37062","DOI":"10.1371\/journal.pone.0037062","volume":"7","author":"F Bagala","year":"2012","unstructured":"Bagala, 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, e37062 (2012)","journal-title":"PLoS ONE"},{"key":"28_CR3","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1109\/TNSRE.2010.2070807","volume":"18","author":"F Bianchi","year":"2010","unstructured":"Bianchi, F., Redmond, S.J., Narayanan, M.R., Cerutti, S., Lovell, N.H.: Barometric pressure and triaxial accelerometry-based falls event detection. IEEE Trans. Neural Syst. Rehabil. Eng. 18, 619\u2013627 (2010)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"28_CR4","doi-asserted-by":"crossref","unstructured":"Bourke, A.K., O\u2019Brien, J.V., Lyons, G.M.: Evaluation of a threshold-based triaxial accelerometer fall detection algorithm. Gait Posture 26, 194\u2013199 (2007)","DOI":"10.1016\/j.gaitpost.2006.09.012"},{"key":"28_CR5","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1016\/j.procs.2017.06.110","volume":"110","author":"E Casilari","year":"2017","unstructured":"Casilari, E., Santoyo-Ram\u00f3n, J.A., Cano-Garc\u00eda, J.M.: UMAFall: a multisensor dataset for the research on automatic fall detection. Procedia Comput. Sci. 110, 32\u201339 (2017)","journal-title":"Procedia Comput. Sci."},{"key":"28_CR6","doi-asserted-by":"crossref","unstructured":"Charlson, M., Pompei, P., Ales, K., MacKenzie, C.R.: A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J. Chron. Dis. 40, 373\u2013383 (1987)","DOI":"10.1016\/0021-9681(87)90171-8"},{"key":"28_CR7","unstructured":"Chaudhuri, S., Thompson, H., Demiris, G.: Fall detection devices and their use with older adults: a systematic review. J. Geriatr. Phys. Ther. 37(4), 178\u2013196 (2014)"},{"key":"28_CR8","unstructured":"Daher, M., Diab, A., El Najjar, M.E.B., Khalil, M.A., Charpillet, F.: Elder tracking and fall detection system using smart tiles. IEEE Sens. J. 17(1), 469\u2013479 (2017)"},{"key":"28_CR9","unstructured":"De\u00a0La\u00a0Cal, E., Fa\u00f1ex, M., Villar, J., Gonzalez, V.: Plataforma para el estudio de ca\u00eddas y desvanecimientos en grupos de personas mayores. In: CEA BIOINGENIER\u00cdA 2018 (2018)"},{"key":"28_CR10","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.procs.2017.01.188","volume":"105","author":"A Hakim","year":"2017","unstructured":"Hakim, A., Huq, M.S., Shanta, S., Ibrahim, B.S.K.K.: Smartphone based data mining for fall detection: analysis and design. Procedia Comput. Sci. 105, 46\u201351 (2017)","journal-title":"Procedia Comput. Sci."},{"key":"28_CR11","doi-asserted-by":"crossref","unstructured":"Hassan, M.M., Albakr, H.S., Al-Dossari, H.: Internet of things framework for pervasive healthcare. In: 1st International Workshop on Emerging Multimedia Applications and Services for Smart Cities, EMASC 1 (2014)","DOI":"10.1145\/2661704.2661707"},{"issue":"4","key":"28_CR12","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1016\/j.bj.2018.06.003","volume":"41","author":"N Jalloul","year":"2018","unstructured":"Jalloul, N.: Wearable sensors for the monitoring of movement disorders. Biomed. J. 41(4), 249\u2013253 (2018)","journal-title":"Biomed. J."},{"key":"28_CR13","doi-asserted-by":"crossref","unstructured":"Khelil, A., Shaikh, F.K., Sheikh, A.A., Felemban, E., Bojan, H.: DigiAID: a wearable health platform for automated self-tagging in emergency cases. In: de 4th International Conference on Wireless Mobile Communication and Healthcare. MOBIHEALTH20144th International Conference on Wireless Mobile Communication and Healthcare, MOBIHEALTH 2014 (2014)","DOI":"10.4108\/icst.mobihealth.2014.257541"},{"key":"28_CR14","doi-asserted-by":"crossref","first-page":"334","DOI":"10.1007\/978-3-319-94120-2_32","volume":"771","author":"S Khojasteh","year":"2019","unstructured":"Khojasteh, S., Villar, J., de la Cal, E., Gonz\u00e1lez, V., Sedano, J.: Fall detection analysis using a real fall dataset. Adv. Intell. Syst. Comput. 771, 334\u2013343 (2019)","journal-title":"Adv. Intell. Syst. Comput."},{"key":"28_CR15","doi-asserted-by":"crossref","unstructured":"Khojasteh, S., Villar, J., Chira, C., Gonz\u00e1lez, V., de\u00a0la Cal, E.: Improving fall detection using an on-wrist wearable accelerometer. Sensors (Switzerland) 18(5) (2018)","DOI":"10.3390\/s18051350"},{"key":"28_CR16","doi-asserted-by":"crossref","unstructured":"Khojasteh, S., Villar, J., De\u00a0La\u00a0Cal, E., Gonzalez, V., Tan, Q., Kiadi, M.: A discussion on fall detection issues and its deployment: When cloud meets battery. In: 2018 3rd IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2018, pp. 112\u2013115 (2018)","DOI":"10.1109\/ICCCBDA.2018.8386496"},{"key":"28_CR17","doi-asserted-by":"crossref","unstructured":"Leutheuser, H., Schuldhaus, D., Eskofier, B.M.: Hierarchical, multi-sensor based classification of daily life activities: comparison with state-of-the-art algorithms using a benchmark dataset. PLoS ONE 8(10), e75196 (2013)","DOI":"10.1371\/journal.pone.0075196"},{"key":"28_CR18","unstructured":"Maglogiannis, C.D., Maglogiannis, I.: Bringing IoT and cloud computing towards pervasive healthcare. In: de 6th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing. IMIS 2012 (2012)"},{"key":"28_CR19","doi-asserted-by":"crossref","unstructured":"Rahimi, M.R., Ren, J., Liu, C.H., Vasilakos, A.V., Venkatasubramanian, N.: Mobile cloud computing: a survey, state of art and future directions. Mob. Netw. Appl. 19(2), 133\u2013143 (2014)","DOI":"10.1007\/s11036-013-0477-4"},{"key":"28_CR20","unstructured":"Sabatini, A.M., Ligorio, G., Mannini, A., Genovese, V., Pinna, L.: Prior-to- and post-impact fall detection using inertial and barometric altimeter measurements. IEEE Trans. Neural Syst. Rehabil. Eng. 24(7), 774\u2013783 (2016)"},{"key":"28_CR21","doi-asserted-by":"crossref","unstructured":"Sorvala, A., Alasaarela, E., Sorvoja, H., Myllyla, R.: A two-threshold fall detection algorithm for reducing false alarms. In: Proceedings of 2012 6th International Symposium on Medical Information and Communication Technology (ISMICT) (2012)","DOI":"10.1109\/ISMICT.2012.6203028"},{"key":"28_CR22","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1155\/2017\/6043069","volume":"2017","author":"PM Vergara","year":"2017","unstructured":"Vergara, P.M., Cal, E., Villar, J.R., Gonz\u00e1lez, V.M., Sedano, J.: An IoT platform for epilepsy monitoring and supervising. J. Sens. 2017, 18 (2017)","journal-title":"J. Sens."},{"key":"28_CR23","doi-asserted-by":"crossref","unstructured":"Villar, J.R., Vergara, P., Men\u00e9ndez, M., Cal, E., Gonz\u00e1lez, V.M., Sedano, J.: Generalized models for the classification of abnormal movements in daily life and its applicability to epilepsy convulsion recognition. Int. J. Neural Syst. 26(06), 1650037 (2016)","DOI":"10.1142\/S0129065716500374"}],"container-title":["Advances in Intelligent Systems and Computing","Intelligent Systems Design and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-49342-4_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,5]],"date-time":"2023-10-05T19:18:53Z","timestamp":1696533533000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-49342-4_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,15]]},"ISBN":["9783030493417","9783030493424"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-49342-4_28","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2020,8,15]]},"assertion":[{"value":"15 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISDA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Systems Design and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Auburn, WA","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 December 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isda2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.mirlabs.net\/isda19\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}