Falling-Incident Detection and Alarm by Smartphone with Multimedia Messaging Service (MMS)
Yi He; Ye Li; Chuan Yin
刊名E-Health Telecommunication Systems and Networks
2012
英文摘要This paper presents a system with real-time classification of human movements based on smartphone mounted on the waist. The built-in tri-accelerometer was utilized to collect the information of body motion. At the same time, the smartphone is able to classify the data for activity recognition. By our algorithm, body motion can be classified into five different patterns: vertical activity, lying, sitting or static standing, horizontal activity and fall. It alarms falling by Multimedia Messaging Service (MMS) with map of suspected fall location, GPS coordinate and time etc. If a fall was suspected, an automatic MMS would be sent to preset people. The major advantage of the proposed system is the novel application of smartphone which already have the necessary sensors and can monitor fall ubiquitously without any additional devices.
收录类别其他
原文出处http://www.scirp.org/journal/PaperInformation.aspx?PaperID=18069#.VWxrbM-qpBc
语种英语
内容类型期刊论文
源URL[http://ir.siat.ac.cn:8080/handle/172644/3978]  
专题深圳先进技术研究院_医工所
作者单位E-Health Telecommunication Systems and Networks
推荐引用方式
GB/T 7714
Yi He,Ye Li,Chuan Yin. Falling-Incident Detection and Alarm by Smartphone with Multimedia Messaging Service (MMS)[J]. E-Health Telecommunication Systems and Networks,2012.
APA Yi He,Ye Li,&Chuan Yin.(2012).Falling-Incident Detection and Alarm by Smartphone with Multimedia Messaging Service (MMS).E-Health Telecommunication Systems and Networks.
MLA Yi He,et al."Falling-Incident Detection and Alarm by Smartphone with Multimedia Messaging Service (MMS)".E-Health Telecommunication Systems and Networks (2012).
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