Abstract:
Since human bodies are good reflectors of wireless signals, human activities can be recognized by monitoring changes in WiFi signals. However, existing WiFi-based human a...Show MoreMetadata
Abstract:
Since human bodies are good reflectors of wireless signals, human activities can be recognized by monitoring changes in WiFi signals. However, existing WiFi-based human activity recognition systems do not build models that can quantify the correlation between WiFi signal dynamics and human activities. In this paper, we propose a Channel State Information (CSI)-based human Activity Recognition and Monitoring system (CARM). CARM is based on two theoretical models. First, we propose a CSI-speed model that quantifies the relation between CSI dynamics and human movement speeds. Second, we propose a CSI-activity model that quantifies the relation between human movement speeds and human activities. Based on these two models, we implemented the CARM on commercial WiFi devices. Our experimental results show that the CARM achieves recognition accuracy of 96% and is robust to environmental changes.
Published in: IEEE Journal on Selected Areas in Communications ( Volume: 35, Issue: 5, May 2017)
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- IEEE Keywords
- Index Terms
- Human Activities ,
- Action Recognition ,
- Commercial Devices ,
- Human Activity Recognition ,
- Wi-Fi Devices ,
- Commercial Wi-Fi Devices ,
- Device-free Human Activity Recognition ,
- Wireless ,
- Signal Changes ,
- Recognition Accuracy ,
- Human Movement ,
- Recognition System ,
- Movement Speed ,
- Radio Waves ,
- WiFi Signals ,
- Path Length ,
- Phase Shift ,
- Average Accuracy ,
- Hidden Markov Model ,
- Impulsive Noise ,
- Received Signal Strength Indicator ,
- Single Linkage ,
- Multiple Links ,
- Principal Component Analysis Components ,
- Frequency Components ,
- Antenna Pair ,
- Parts Of The Human Body ,
- False Alarm Rate ,
- Actual Start
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Human Activities ,
- Action Recognition ,
- Commercial Devices ,
- Human Activity Recognition ,
- Wi-Fi Devices ,
- Commercial Wi-Fi Devices ,
- Device-free Human Activity Recognition ,
- Wireless ,
- Signal Changes ,
- Recognition Accuracy ,
- Human Movement ,
- Recognition System ,
- Movement Speed ,
- Radio Waves ,
- WiFi Signals ,
- Path Length ,
- Phase Shift ,
- Average Accuracy ,
- Hidden Markov Model ,
- Impulsive Noise ,
- Received Signal Strength Indicator ,
- Single Linkage ,
- Multiple Links ,
- Principal Component Analysis Components ,
- Frequency Components ,
- Antenna Pair ,
- Parts Of The Human Body ,
- False Alarm Rate ,
- Actual Start
- Author Keywords