Abstract-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.
Dai et al. REF proposed the use of mobile phones as a platform for fall detection.
PerFallD: A pervasive fall detection system using mobile phones
2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)
2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)
Computer Science