Key points are not available for this paper at this time.
There has been a great interest in recognizing gestures using wireless communication signals. We are motivated in detecting extremely fine, subtle finger gestures with WiFi signals. We envision this technology to find applications in finger-gesture control, disabled-friendly devices, physical therapy etc. The requirements of mm-level sensitivity and user-friendly feature using existing WiFi signals pose great challenges. Here, we present Mudra, a fine-grained finger gesture recognition system which leverages WiFi signals to enable a near-human-to-machine interaction with finger motion.
Zhang et al. (Tue,) studied this question.