UBICOMP 2018 QGesture:Quantifying Gesture Distance and Direction with WiFi Signals Nan Yut Wei Wangt Alex X.Liut Lingtao Kongt +Nanjing University,Michigan State University
QGesture: Quantifying Gesture Distance and Direction with WiFi Signals Nan Yu† Wei Wang† Alex X. Liu†‡ †Nanjing University, ‡Michigan State University Lingtao Kong†
款鲁 Motivation >Advantage of WiFi-based Gesture Recognition: 一 Better coverage 一 Not need light Device-free Motivation System design Experiments Conclusions 2/20
Motivation Motivation System design Experiments Conclusions 2/20 ➢ Advantage of WiFi-based Gesture Recognition: — Better coverage — Not need light — Device-free
嫩鲁扇 Motivation It is convenient to adjust the volume using the same gesture. It is too noisy,I will decrease the volume want to increase the volume. Sender Receiver Motivation System design Experiments Conclusions 3/20
Motivation Motivation System design Experiments Conclusions 3/20 It is convenient to adjust the volume using the same gesture
Motivation It is important to provide quantitative inputs while interacting with smart home devices. (a)Microwave oven (b)Light (c)TV (d)Air condition Motivation System design Experiments Conclusions 4/20
Motivation It is important to provide quantitative inputs while interacting with smart home devices. (a) Microwave oven (b) Light (c) TV (d) Air condition Motivation System design Experiments Conclusions 4/20
Challenges Quantify pushing gesture distance and direction Reconstruct the phase of CSl measurements Separate gesture movements from daily activities Motivation System design Experiments Conclusions 5/20
Challenges Motivation System design Experiments Conclusions 5/20 ➢ Quantify pushing gesture distance and direction ➢ Reconstruct the phase of CSI measurements ➢ Separate gesture movements from daily activities