Remote safety monitoring for elderly persons based on omni-vision analysis
Remote monitoring service for elderly persons is important as the aged populations in most developed countries continue growing. To monitor the safety and health of the elderly population, we propose a novel omni-directional vision sensor based system, which can detect and track object motion, recog...
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| Veröffentlicht in: | PloS one 2015-05, Vol.10 (5), p.e0124068-e0124068 |
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| creator | Xiang, Yun Tang, Yi-Ping Ma, Bao-Qing Yan, Hang-Chen Jiang, Jun Tian, Xu-Yuan |
| description | Remote monitoring service for elderly persons is important as the aged populations in most developed countries continue growing. To monitor the safety and health of the elderly population, we propose a novel omni-directional vision sensor based system, which can detect and track object motion, recognize human posture, and analyze human behavior automatically. In this work, we have made the following contributions: (1) we develop a remote safety monitoring system which can provide real-time and automatic health care for the elderly persons and (2) we design a novel motion history or energy images based algorithm for motion object tracking. Our system can accurately and efficiently collect, analyze, and transfer elderly activity information and provide health care in real-time. Experimental results show that our technique can improve the data analysis efficiency by 58.5% for object tracking. Moreover, for the human posture recognition application, the success rate can reach 98.6% on average. |
| doi_str_mv | 10.1371/journal.pone.0124068 |
| format | Article |
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To monitor the safety and health of the elderly population, we propose a novel omni-directional vision sensor based system, which can detect and track object motion, recognize human posture, and analyze human behavior automatically. In this work, we have made the following contributions: (1) we develop a remote safety monitoring system which can provide real-time and automatic health care for the elderly persons and (2) we design a novel motion history or energy images based algorithm for motion object tracking. Our system can accurately and efficiently collect, analyze, and transfer elderly activity information and provide health care in real-time. Experimental results show that our technique can improve the data analysis efficiency by 58.5% for object tracking. Moreover, for the human posture recognition application, the success rate can reach 98.6% on average.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0124068</identifier><identifier>PMID: 25978761</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Activities of Daily Living ; Aged ; Algorithms ; Augmented reality ; Calibration ; Cameras ; Care and treatment ; Computer science ; Data analysis ; Data processing ; Developed countries ; Elderly ; Engineering ; Geriatrics ; Health care ; Human behavior ; Human motion ; Humans ; Monitoring, Ambulatory - methods ; Multimedia ; Object motion ; Object recognition ; Older people ; Pattern recognition ; Physiology ; Population ; Posture ; Real time ; Remote monitoring ; Researchers ; Safety ; Safety and security measures ; Safety engineering ; Sensors ; Surveillance ; Tracking ; Vision</subject><ispartof>PloS one, 2015-05, Vol.10 (5), p.e0124068-e0124068</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Xiang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2015 Xiang et al 2015 Xiang et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-d116f28a84dd43578892a538f3516b8777e9d74f3a60faca14c393113cd4f6333</citedby><cites>FETCH-LOGICAL-c692t-d116f28a84dd43578892a538f3516b8777e9d74f3a60faca14c393113cd4f6333</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4433324/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4433324/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,729,782,786,866,887,2104,2930,23873,27931,27932,53798,53800</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25978761$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Ji, Rongrong</contributor><creatorcontrib>Xiang, Yun</creatorcontrib><creatorcontrib>Tang, Yi-Ping</creatorcontrib><creatorcontrib>Ma, Bao-Qing</creatorcontrib><creatorcontrib>Yan, Hang-Chen</creatorcontrib><creatorcontrib>Jiang, Jun</creatorcontrib><creatorcontrib>Tian, Xu-Yuan</creatorcontrib><title>Remote safety monitoring for elderly persons based on omni-vision analysis</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Remote monitoring service for elderly persons is important as the aged populations in most developed countries continue growing. To monitor the safety and health of the elderly population, we propose a novel omni-directional vision sensor based system, which can detect and track object motion, recognize human posture, and analyze human behavior automatically. In this work, we have made the following contributions: (1) we develop a remote safety monitoring system which can provide real-time and automatic health care for the elderly persons and (2) we design a novel motion history or energy images based algorithm for motion object tracking. Our system can accurately and efficiently collect, analyze, and transfer elderly activity information and provide health care in real-time. Experimental results show that our technique can improve the data analysis efficiency by 58.5% for object tracking. 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One</addtitle><date>2015-05-15</date><risdate>2015</risdate><volume>10</volume><issue>5</issue><spage>e0124068</spage><epage>e0124068</epage><pages>e0124068-e0124068</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Remote monitoring service for elderly persons is important as the aged populations in most developed countries continue growing. To monitor the safety and health of the elderly population, we propose a novel omni-directional vision sensor based system, which can detect and track object motion, recognize human posture, and analyze human behavior automatically. In this work, we have made the following contributions: (1) we develop a remote safety monitoring system which can provide real-time and automatic health care for the elderly persons and (2) we design a novel motion history or energy images based algorithm for motion object tracking. Our system can accurately and efficiently collect, analyze, and transfer elderly activity information and provide health care in real-time. Experimental results show that our technique can improve the data analysis efficiency by 58.5% for object tracking. Moreover, for the human posture recognition application, the success rate can reach 98.6% on average.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25978761</pmid><doi>10.1371/journal.pone.0124068</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Activities of Daily Living Aged Algorithms Augmented reality Calibration Cameras Care and treatment Computer science Data analysis Data processing Developed countries Elderly Engineering Geriatrics Health care Human behavior Human motion Humans Monitoring, Ambulatory - methods Multimedia Object motion Object recognition Older people Pattern recognition Physiology Population Posture Real time Remote monitoring Researchers Safety Safety and security measures Safety engineering Sensors Surveillance Tracking Vision |
| title | Remote safety monitoring for elderly persons based on omni-vision analysis |
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