PerFallD: A pervasive fall detection system using mobile phones

Falls are a major health risk that diminish the quality of life among elderly people. With the elderly population surging, especially with aging "baby boomers", fall detection becomes increasingly important. However, ex­ isting commercial products and academic solutions struggle to achieve pervasive fall detection. In this paper, we propose utilizing mobile phones as a platform for pervasive fall detection system development. To our knowledge, we are the first to do so. We design a detection algorithm based on mobile phone platforms. We propose PerFaUD, a pervasive fall detection sys­ tem implemented on mobile phones. We implement a prototype system on the Android Gl phone and conduct experiments to evaluate our system. In particular, we compare PerFaIID's performance with that of existing work and a commercial product. Experimental results show that PerFailD achieves strong detection performance and power efficiency. Keywords-Fall detection; Mobile phones; Acceleromet...

• Type: Journal
• Year: 2010
• Where: PERCOM
• Authors: Jiangpeng Dai, Xiaole Bai, Zhimin Yang, Zhaohui Shen, Dong Xuan
• Keywords: Commercial Product, Computer Networks, Mobile Phones, PERCOM 2010, Pervasive Fall Detection