RT-Fall: A Real-Time and Contactless Fall Detection System with Commodity WiFi Devices
Peking University · Institute of Software
Abstract
This paper presents the design and implementation of RT-Fall, a real-time, contactless, low-cost yet accurate indoor fall detection system using the commodity WiFi devices. RT-Fall exploits the phase and amplitude of the fine-grained Channel State Information (CSI) accessible in commodity WiFi devices, and for the first time fulfills the goal of segmenting and detecting the falls automatically in real-time, which allows users to perform daily activities naturally and continuously without wearing any devices on the body. This work makes two key technical contributions. First, we find that the CSI phase difference over two antennas is a more sensitive base signal than amplitude for activity recognition, which…
Citation impact
- FWCI
- 30.31
- Percentile
- 100%
- References
- 56
Authors
6Topics & keywords
- Computer science
- Exploit
- Segmentation
- Real-time computing
- Channel state information
- Feature extraction
- Feature (linguistics)
- Channel (broadcasting)