Device-Free Gesture Tracking Using Acoustic Signals Wei Wangt Alex X.Liut Ke Sunt tNanjing University,Michigan State University MobiCom'16 Oct4h,2016 日+回1三1交非三勺风 1/20
Device-Free Gesture Tracking Using Acoustic Signals Wei Wang† Alex X. Liu†‡ Ke Sun† †Nanjing University, ‡Michigan State University MobiCom’16 Oct 4th, 2016 1/20
Motivation System Desion Experiments Conclusions 市商 Motivation It is difficult to input on smart watches 口，01三13卡至QC 2/20
Motivation System Design Experiments Conclusions Motivation It is difficult to input on smart watches 2/20
Motivation System Design Experiments Conclusions Limitation of Prior Arts Google Soli designs specialized 60GHz chips for gesture input 日，+司1三13卡三分Q0 3/20
Motivation System Design Experiments Conclusions Limitation of Prior Arts Google Soli designs specialized 60GHz chips for gesture input 3/20
Motivation System Design Experiments Conclusions Problem Statment Can we build software-based to replace specialized hardware? and meet these design goals .High accuracy (mm-level) .Low latency (30 ms) Low computational cost (works on mobile devices) 。Low energy 日，+司1三13卡三分Q0 4/20
Motivation System Design Experiments Conclusions Problem Statment Can we build software-based to replace specialized hardware? . . . and meet these design goals • High accuracy (mm-level) • Low latency (< 30 ms) • Low computational cost (works on mobile devices) • Low energy 4/20
Motivation System Design Experiments Conclusions Problem Statment Can we build software-based to replace specialized hardware? ..and meet these design goals High accuracy(mm-level) ·Low latency(<30ms) Low computational cost (works on mobile devices) 。Low energy 日，+司1三13卡三分Q0 4/20
Motivation System Design Experiments Conclusions Problem Statment Can we build software-based to replace specialized hardware? . . . and meet these design goals • High accuracy (mm-level) • Low latency (< 30 ms) • Low computational cost (works on mobile devices) • Low energy 4/20