Fall Detection Monitoring System Based on MEMS Sensor
In order to get timely treatment after the elderly fall, this paper proposes a wearable device to monitor the fall of the elderly. The device includes a data acquisition module, a data processing module, and a wireless communication module. With the elderly wear the device at the waist, the human bo...
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Veröffentlicht in: | Journal of physics. Conference series 2020-10, Vol.1650 (2), p.22037 |
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description | In order to get timely treatment after the elderly fall, this paper proposes a wearable device to monitor the fall of the elderly. The device includes a data acquisition module, a data processing module, and a wireless communication module. With the elderly wear the device at the waist, the human body posture data will be collected by data acquisition module, and will be processed by data processing module, and combines the random forest algorithm to distinguish between daily activities and fall behaviors. When the fall occurs, the device alarms by sound and light. At the same time, the transparent cloud platform matched with the wireless communication module can monitor the position and status of the elderly in real time. When a fall occurs, the emergency contact will be notified through WeChat and email, and the real-time alarm will be realized, and the old man will get timely treatment after the fall. |
doi_str_mv | 10.1088/1742-6596/1650/2/022037 |
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When a fall occurs, the emergency contact will be notified through WeChat and email, and the real-time alarm will be realized, and the old man will get timely treatment after the fall.</description><subject>Algorithms</subject><subject>Data processing</subject><subject>Fall detection</subject><subject>Microelectromechanical systems</subject><subject>Modules</subject><subject>Older people</subject><subject>Physics</subject><subject>Real time</subject><subject>Wearable technology</subject><subject>Wireless communications</subject><issn>1742-6588</issn><issn>1742-6596</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqFkFtLw0AQhRdRsFZ_gwHfhJjdSfaSR62tF1oUos_LJrsrKW027qYP_fcmRCqC4LzMwDnfDHMQuiT4hmAhEsIziBnNWUIYxQkkGACn_AhNDsrxYRbiFJ2FsMY47YtPEF2ozSa6N52puto10co1ded83XxExT50ZhvdqWB0NEjzVREVpgnOn6MTqzbBXHz3KXpfzN9mj_Hy5eFpdruMK-AZj0WpDOWVVprmWqcUBChcgqCGCGssECsyIYCKvCxLBoaTMmOYWqu11RXX6RRdjXtb7z53JnRy7Xa-6U9KoJxgnmeM9S4-uirvQvDGytbXW-X3kmA5ZCSH7-WQhBwykiDHjHoyHcnatT-r_6eu_6CeX2fFb6NstU2_AFThdPc</recordid><startdate>20201001</startdate><enddate>20201001</enddate><creator>Wu, Youyu</creator><creator>Xiao, Yiyao</creator><creator>Ge, Hua</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20201001</creationdate><title>Fall Detection Monitoring System Based on MEMS Sensor</title><author>Wu, Youyu ; Xiao, Yiyao ; Ge, Hua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2747-8bae57cdad59dd35282a0b285e18fef21f84882589bbb62e71b4605ffddfdc7d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>Data processing</topic><topic>Fall detection</topic><topic>Microelectromechanical systems</topic><topic>Modules</topic><topic>Older people</topic><topic>Physics</topic><topic>Real time</topic><topic>Wearable technology</topic><topic>Wireless communications</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wu, Youyu</creatorcontrib><creatorcontrib>Xiao, Yiyao</creatorcontrib><creatorcontrib>Ge, Hua</creatorcontrib><collection>Institute of Physics Open Access Journal Titles</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Journal of physics. Conference series</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wu, Youyu</au><au>Xiao, Yiyao</au><au>Ge, Hua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fall Detection Monitoring System Based on MEMS Sensor</atitle><jtitle>Journal of physics. Conference series</jtitle><addtitle>J. Phys.: Conf. Ser</addtitle><date>2020-10-01</date><risdate>2020</risdate><volume>1650</volume><issue>2</issue><spage>22037</spage><pages>22037-</pages><issn>1742-6588</issn><eissn>1742-6596</eissn><abstract>In order to get timely treatment after the elderly fall, this paper proposes a wearable device to monitor the fall of the elderly. The device includes a data acquisition module, a data processing module, and a wireless communication module. With the elderly wear the device at the waist, the human body posture data will be collected by data acquisition module, and will be processed by data processing module, and combines the random forest algorithm to distinguish between daily activities and fall behaviors. When the fall occurs, the device alarms by sound and light. At the same time, the transparent cloud platform matched with the wireless communication module can monitor the position and status of the elderly in real time. When a fall occurs, the emergency contact will be notified through WeChat and email, and the real-time alarm will be realized, and the old man will get timely treatment after the fall.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1742-6596/1650/2/022037</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Data processing Fall detection Microelectromechanical systems Modules Older people Physics Real time Wearable technology Wireless communications |
title | Fall Detection Monitoring System Based on MEMS Sensor |
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