Proceedings ArticleDOI
WiFit: A Bodyweight Exercise Monitoring System with Commodity Wi-Fi
Shengjie Li,Li Xiang,Qin Lv,Daqing Zhang +3 more
- pp 396-399
TLDR
A non-intrusive system WiFit is shown in this demo which uses surrounding Wi-Fi signals to monitor the bodyweight exercises without any attachment requirements and could recognize the exercise type and count the repetition number of exercise for diverse population even in different environments.Abstract:
Bodyweight exercises, such as push-up, sit-up, and squat, are effective forms of strength training to maintain good health. In order to improve people's exercise experience and provide feedback, lots of work has been done to monitor the bodyweight exercise by requiring people to wear special sensors on body. Different from traditional ways, a non-intrusive system WiFit is shown in this demo which uses surrounding Wi-Fi signals to monitor the bodyweight exercises without any attachment requirements. It not only could recognize the exercise type but also count the repetition number of exercise for diverse population even in different environments.read more
Citations
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Towards a Diffraction-based Sensing Approach on Human Activity Recognition
TL;DR: It is argued that a deep understanding of radio signal propagation in wireless sensing is needed, and it may be possible to develop a deterministic sensing model to make the signal variation patterns predictable, and this model is proposed to quantitatively determine the signal change with respect to a target's motions.
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WiBorder: Precise Wi-Fi based Boundary Sensing via Through-wall Discrimination
TL;DR: WiBorder is the first work that enables precise sensing boundary determination via through-wall discrimination, which can immediately benefit other Wi-Fi based applications.
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WiRIM: Resolution Improving Mechanism for Human Sensing With Commodity Wi-Fi
TL;DR: This paper designs a channel switching and aggregation algorithm to extend the effective bandwidth of commodity Wi-Fi signals and improve the performance and efficiency of human sensing applications and proposes a cross-location human activity recognition scenario.
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A real-time and robust intrusion detection system with commodity wi-fi
TL;DR: In this paper, the authors presented a real-time and robust device-free intrusion detection system, named RR-Alarm, which is able to detect human intrusion in real time, at the same time, requiring no additional facilities installation.
Posted Content
When Healthcare Meets Off-the-Shelf WiFi: A Non-Wearable and Low-Costs Approach for In-Home Monitoring
TL;DR: Off-the-shelf WiFi devices are capable of capturing fine-grained human pose figures, similar to cameras, even through a wall and track accurate respiration status, thus demonstrating the effectiveness and feasibility of the approach for in-home monitoring.
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Proceedings ArticleDOI
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