{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T11:10:12Z","timestamp":1771845012640,"version":"3.50.1"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030436049","type":"print"},{"value":"9783030436056","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-43605-6_16","type":"book-chapter","created":{"date-parts":[[2020,3,18]],"date-time":"2020-03-18T00:03:27Z","timestamp":1584489807000},"page":"273-288","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Good-Eye: A Combined Computer-Vision and Physiological-Sensor Based Device for Full-Proof Prediction and Detection of Fall of Adults"],"prefix":"10.1007","author":[{"given":"Laavanya","family":"Rachakonda","sequence":"first","affiliation":[]},{"given":"Akshay","family":"Sharma","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2959-6541","authenticated-orcid":false,"given":"Saraju P.","family":"Mohanty","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1616-7628","authenticated-orcid":false,"given":"Elias","family":"Kougianos","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,3,18]]},"reference":[{"key":"16_CR1","unstructured":"Apple: Apple watch. https:\/\/support.apple.com\/en-us\/HT208944"},{"key":"16_CR2","doi-asserted-by":"publisher","unstructured":"Bhati, N.: Health based ubiquitous fall detection for elderly people. In: 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp. 1\u20137, July 2017. https:\/\/doi.org\/10.1109\/ICCCNT.2017.8204033","DOI":"10.1109\/ICCCNT.2017.8204033"},{"key":"16_CR3","first-page":"434","volume":"135","author":"GR Boss","year":"1981","unstructured":"Boss, G.R., Seegmiller, J.E.: Age-related physiological changes and their clinical significance. W. J. Med. 135, 434 (1981)","journal-title":"W. J. Med."},{"issue":"18","key":"16_CR4","doi-asserted-by":"publisher","first-page":"509","DOI":"10.15585\/mmwr.mm6718a1","volume":"67","author":"E Burns","year":"2018","unstructured":"Burns, E., Kakara, R.: Deaths from falls among persons aged $$\\ge $$65 years\u2013United States, 2007\u20132016. MMWR Morb. Mortal. Wkly Rep. 67(18), 509\u2013514 (2018). https:\/\/doi.org\/10.15585\/mmwr.mm6718a1","journal-title":"MMWR Morb. Mortal. Wkly Rep."},{"key":"16_CR5","doi-asserted-by":"crossref","unstructured":"Chen, J., Kwong, K., Chang, D., Luk, J., Bajcsy, R.: Wearable sensors for reliable fall detection. In: IEEE Engineering in Medicine and Biology 27th Annual Conference, pp. 3551\u20133554, January 2005","DOI":"10.1109\/IEMBS.2005.1617246"},{"issue":"1","key":"16_CR6","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1152\/japplphysiol.90401.2008","volume":"105","author":"DD Christou","year":"2008","unstructured":"Christou, D.D., Seals, D.R.: Decreased maximal heart rate with aging is related to reduced beta-adrenergic responsiveness but is largely explained by a reduction in intrinsic heart rate. J. Appl. Physiol. 105(1), 24\u201329 (2008). https:\/\/doi.org\/10.1152\/japplphysiol.90401.2008","journal-title":"J. Appl. Physiol."},{"key":"16_CR7","unstructured":"Greatcall: Lively Mobile (2019). https:\/\/www.greatcall.com\/devices\/lively-mobile-medical-alert-system"},{"key":"16_CR8","unstructured":"Medical Guardian: Home Guardian. https:\/\/www.medicalguardian.com\/products\/home-guardian"},{"issue":"2","key":"16_CR9","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1097\/PHH.0000000000000816","volume":"25","author":"YK Haddad","year":"2019","unstructured":"Haddad, Y.K., Bergen, G., Florence, C.S.: Estimating the economic burden related to older adult falls by state. J. Public Health Manag. Pract. (JPHMP) 25(2), 17\u201324 (2019)","journal-title":"J. Public Health Manag. Pract. (JPHMP)"},{"key":"16_CR10","first-page":"01","volume":"43","author":"N Jia","year":"2009","unstructured":"Jia, N.: Detecting human falls with a 3-axis digital accelerometer. Analog Dialogue 43, 01\u201307 (2009)","journal-title":"Analog Dialogue"},{"issue":"20","key":"16_CR11","doi-asserted-by":"publisher","first-page":"1895","DOI":"10.1001\/jama.281.20.1895","volume":"281","author":"P Kannus","year":"1999","unstructured":"Kannus, P., et al.: Fall-induced injuries and deaths among older adults. JAMA 281(20), 1895\u20131899 (1999). https:\/\/doi.org\/10.1001\/jama.281.20.1895","journal-title":"JAMA"},{"key":"16_CR12","doi-asserted-by":"publisher","first-page":"1082","DOI":"10.1152\/jappl.1988.65.3.1082","volume":"65","author":"WL Kenney","year":"1988","unstructured":"Kenney, W.L., Fowler, S.R.: Methylcholine-activated eccrine sweat glanddensity and output as a function of age. J. Appl. Physiol. 65, 1082\u20131086 (1988)","journal-title":"J. Appl. Physiol."},{"key":"16_CR13","doi-asserted-by":"publisher","unstructured":"Kong, X., Meng, L., Tomiyama, H.: Fall detection for elderly persons using a depth camera. In: International Conference on Advanced Mechatronic Systems (ICAMechS), pp. 269\u2013273, December 2017. https:\/\/doi.org\/10.1109\/ICAMechS.2017.8316483","DOI":"10.1109\/ICAMechS.2017.8316483"},{"key":"16_CR14","doi-asserted-by":"publisher","unstructured":"Lee, J.K., Yoon, K.J.: Real-time joint estimation of camera orientation and vanishing points. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, June 2015. https:\/\/doi.org\/10.1109\/cvpr.2015.7298796","DOI":"10.1109\/cvpr.2015.7298796"},{"issue":"7","key":"16_CR15","doi-asserted-by":"publisher","first-page":"2135","DOI":"10.1109\/TBME.2014.2315784","volume":"61","author":"J Liu","year":"2014","unstructured":"Liu, J., Lockhart, T.E.: Development and evaluation of a prior-to-impact fall event detection algorithm. IEEE Trans. Biomed. Eng. 61(7), 2135\u20132140 (2014). https:\/\/doi.org\/10.1109\/TBME.2014.2315784","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"16_CR16","unstructured":"Bay Alarm Medical: Bay Alarm Medical. https:\/\/www.bayalarmmedical.com\/"},{"key":"16_CR17","unstructured":"Mohanty, S.P.: Internet of Things (IoT) - Demystified. In: 16th International Conference on Information Technology (ICIT) (2017)"},{"issue":"13","key":"16_CR18","doi-asserted-by":"publisher","first-page":"1610","DOI":"10.1016\/j.visres.2010.10.020","volume":"51","author":"C Owsley","year":"2011","unstructured":"Owsley, C.: Aging and vision. Vis. Res. 51(13), 1610\u20131622 (2011). https:\/\/doi.org\/10.1016\/j.visres.2010.10.020","journal-title":"Vis. Res."},{"issue":"7","key":"16_CR19","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. Sensors 14(7), 12900\u201312936 (2014). https:\/\/doi.org\/10.3390\/s140712900","journal-title":"Sensors"},{"key":"16_CR20","unstructured":"Philips: Philips Lifeline (2019). https:\/\/www.lifeline.philips.com\/"},{"key":"16_CR21","unstructured":"Preece, J.: Best fall detection sensors 2019: send a call for help, April 2019"},{"issue":"4","key":"16_CR22","doi-asserted-by":"publisher","first-page":"474","DOI":"10.1109\/TCE.2019.2940472","volume":"65","author":"L Rachakonda","year":"2019","unstructured":"Rachakonda, L., Mohanty, S.P., Kougianos, E., Sundaravadivel, P.: Stress-Lysis: a DNN-integrated edge device for stress level detection in the IoMT. IEEE Trans. Consum. Electron. 65(4), 474\u2013483 (2019)","journal-title":"IEEE Trans. Consum. Electron."},{"issue":"6","key":"16_CR23","doi-asserted-by":"publisher","first-page":"1475","DOI":"10.1109\/TITB.2010.2051956","volume":"14","author":"H Rimminen","year":"2010","unstructured":"Rimminen, H., Lindstr\u00f6m, J., Linnavuo, M., Sepponen, R.: Detection of falls among the elderly by a floor sensor using the electric near field. IEEE Trans. Inf Technol. Biomed. 14(6), 1475\u20131476 (2010). https:\/\/doi.org\/10.1109\/TITB.2010.2051956","journal-title":"IEEE Trans. Inf Technol. Biomed."},{"key":"16_CR24","doi-asserted-by":"publisher","first-page":"842","DOI":"10.1111\/acel.12493","volume":"15","author":"L Ritti\u00e9","year":"2016","unstructured":"Ritti\u00e9, L., Farr, E.A., Orringer, J.S., Voorhees, J.J., Fisher, G.J.: Reduced cell cohesiveness of outgrowths from eccrine sweat glands delays wound closure in elderly skin. Aging Cell 15, 842\u2013852 (2016)","journal-title":"Aging Cell"},{"key":"16_CR25","unstructured":"Sense4care: Angel4 Fall Detection. https:\/\/www.sense4care.com\/tienda\/angel4-fall-detection\/"},{"issue":"3","key":"16_CR26","doi-asserted-by":"crossref","first-page":"231","DOI":"10.31887\/DCNS.2002.4.3\/tsteimer","volume":"4","author":"T Steimer","year":"2002","unstructured":"Steimer, T.: The biology of fear- and anxiety-related behaviors. Dialogues Clin. Neurosci. 4(3), 231\u2013249 (2002)","journal-title":"Dialogues Clin. Neurosci."},{"issue":"8","key":"16_CR27","doi-asserted-by":"publisher","first-page":"1022","DOI":"10.1001\/jama.287.8.1022","volume":"287","author":"AE Stuck","year":"2002","unstructured":"Stuck, A.E., Egger, M., Hammer, A., Minder, C.E., Beck, J.C.: Home visits to prevent nursing home admission and functional decline in elderly peoplesystematic review and meta-regression analysis. JAMA 287(8), 1022\u20131028 (2002)","journal-title":"JAMA"},{"issue":"5","key":"16_CR28","doi-asserted-by":"publisher","first-page":"520","DOI":"10.3109\/10253890.2013.807243","volume":"16","author":"CH Vinkers","year":"2013","unstructured":"Vinkers, C.H., et al.: The effect of stress on core and peripheral body temperature in humans. Stress 16(5), 520\u2013530 (2013). https:\/\/doi.org\/10.3109\/10253890.2013.807243","journal-title":"Stress"},{"issue":"5","key":"16_CR29","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1093\/gerona\/glr001","volume":"66A","author":"J Waalen","year":"2011","unstructured":"Waalen, J., Buxbaum, J.N.: Is older colder or colder older? The association of age with body temperature in 18,630 individuals. J. Gerontol. Ser. A: Biol. Sci. Med. Sci. 66A(5), 487\u2013492 (2011). https:\/\/doi.org\/10.1093\/gerona\/glr001","journal-title":"J. Gerontol. Ser. A: Biol. Sci. Med. Sci."},{"key":"16_CR30","doi-asserted-by":"publisher","unstructured":"Waheed, S.A., Sheik Abdul Khader, P.: A novel approach for smart and cost effective IoT based elderly fall detection system using Pi Camera. In: IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), pp. 1\u20134, December 2017. https:\/\/doi.org\/10.1109\/ICCIC.2017.8524486","DOI":"10.1109\/ICCIC.2017.8524486"},{"key":"16_CR31","unstructured":"Zhang, Z., Athitsos, V.: Fall Detection Dataset. http:\/\/vlm1.uta.edu\/~zhangzhong\/fall_detection\/"}],"container-title":["IFIP Advances in Information and Communication Technology","Internet of Things. A Confluence of Many Disciplines"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-43605-6_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T01:07:08Z","timestamp":1710724028000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-43605-6_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030436049","9783030436056"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-43605-6_16","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"value":"1868-4238","type":"print"},{"value":"1868-422X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"18 March 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IFIPIoT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Internet of Things Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tampa, FL","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":"31 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 November 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ifipiot2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ifip-iotconference.org\/2019","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-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":"22","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":"11","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":"50% - 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":"3","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":"3","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)"}},{"value":"8 invited papers are included.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}