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This paper presents a novel application of software radio (e.g., Sora) for hand gesture recognition by using long training symbols. The type of gesture performed between the transmitter and receiver can have significant effects on the received wireless signals (e.g., IEEE 802.11a). Since all wireless signal processing functions could be done completely in software, we can easily capture the two long...
Software defined radio (SDR) plays an important role in military and commerce because of its inherent flexibility. It also has great potential in home use, and it can be controlled by software installed on a personal computer or embedded system to achieve different purposes. In this paper, a novel method of dynamic gesture recognition based on support vector machine (SVM) and SDR is proposed. It is...
Wi-Fi signals have been typically acting as information carriers in modern communication system, but recent research has revealed their powerful capability in detecting and identifying various targets. With Wi-Fi, we can now "see" people's location, activity, and even hand gestures. In this paper, a new method of dynamic gesture recognition using Wi-Fi based on signal processing and machine...
In this study, a series of experiments were conducted to examine the feasibility of using Wi-Fi signals for gesture recognition in indoor environments. Totally different from traditional sensor-based approach and computer vision approach, the proposed novel gesture recognition method does not require line-of-sight and sensors placed in the body. Furthermore, unlike recent work using Doppler shifts...
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