WiFall: Device-Free Fall Detection by Wireless Networks
Hong Kong University of Science and Technology · University of Hong Kong · +1 more institution
Abstract
Injuries that are caused by falls have been regarded as one of the major health threats to the independent living for the elderly. Conventional fall detection systems have various limitations. In this work, we first look for the correlations between different radio signal variations and activities by analyzing radio propagation model. Based on our observation, we propose WiFall, a truly unobtrusive fall detection system. WiFall employs physical layer Channel State Information (CSI) as the indicator of activities. It can detect fall of the human without hardware modification, extra environmental setup, or any wearable device. We implement WiFall on desktops equipped with commodity 802.11n NIC, and evaluate the…
Citation impact
- FWCI
- 41.10
- Percentile
- 100%
- References
- 54
Authors
3Topics & keywords
- Computer science
- Wearable computer
- Transmitter
- Constant false alarm rate
- Real-time computing
- ALARM
- False alarm
- Channel state information
- Life in Land