Whole-Home Gesture Recognition Using Wireless Signals (Demo)

被引:171
|
作者
Pu, Qifan [1 ]
Jiang, Siyu [1 ]
Gollakota, Shyamnath [1 ]
机构
[1] Univ Washington, Seattle, WA 98195 USA
关键词
Wireless; Gestures; User Interface;
D O I
10.1145/2534169.2491687
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This demo presents WiSee, a novel human-computer interaction system that leverages wireless networks (e.g., Wi-Fi), to enable sensing and recognition of human gestures and motion. Since wireless signals do not require line-of-sight and can traverse through walls, WiSee enables novel human-computer interfaces for remote device control and building automation. Further, it achieves this goal without requiring instrumentation of the human body with sensing devices. We integrate WiSee with applications and demonstrate how WiSee enables users to use gestures and control applications including music players and gaming systems. Specifically, our demo will allow SIGCOMM attendees to control a music player and a lighting control device using gestures.
引用
收藏
页码:485 / 486
页数:2
相关论文
共 50 条
  • [31] Gesture Recognition for Traffic Hand-Signals Training Simulator Using Kinect
    Puwatnuttasit, Atid
    Kusakunniran, Worapan
    PROCEEDINGS OF TENCON 2018 - 2018 IEEE REGION 10 CONFERENCE, 2018, : 0297 - 0302
  • [32] Hand Gesture Recognition using sEMG Signals Based on Support Vector Machine
    Chen, Wenjun
    Zhang, Zhen
    PROCEEDINGS OF 2019 IEEE 8TH JOINT INTERNATIONAL INFORMATION TECHNOLOGY AND ARTIFICIAL INTELLIGENCE CONFERENCE (ITAIC 2019), 2019, : 230 - 234
  • [33] LSTM Recurrent Neural Network for Hand Gesture Recognition Using EMG Signals
    Toro-Ossaba, Alejandro
    Jaramillo-Tigreros, Juan
    Tejada, Juan C.
    Pena, Alejandro
    Lopez-Gonzalez, Alexandro
    Alexandre Castanho, Rui
    APPLIED SCIENCES-BASEL, 2022, 12 (19):
  • [34] Hand Gesture Recognition by Using sEMG Signals for Human Machine Interaction Applications
    Sayin, Fatih Serdar
    Ozen, Sertan
    Baspinar, Ulvi
    2018 SIGNAL PROCESSING: ALGORITHMS, ARCHITECTURES, ARRANGEMENTS, AND APPLICATIONS (SPA), 2018, : 27 - 30
  • [35] Hand Gesture Recognition based on sEMG signals using Support Vector Machines
    Pomboza-Junez, Gonzalo
    Terriza, Juan Holgado
    2016 IEEE 6TH INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - BERLIN (ICCE-BERLIN), 2016,
  • [36] Hand Gesture Recognition Using Compact CNN via Surface Electromyography Signals
    Chen, Lin
    Fu, Jianting
    Wu, Yuheng
    Li, Haochen
    Zheng, Bin
    SENSORS, 2020, 20 (03)
  • [37] Device-Free Gesture Recognition Using Time Series RFID Signals
    Ding, Han
    Guo, Lei
    Zhao, Cui
    Li, Xiao
    Shi, Wei
    Zhao, Jizhong
    BROADBAND COMMUNICATIONS, NETWORKS, AND SYSTEMS, 2019, 303 : 144 - 155
  • [38] Position and Orientation Independent Wireless Gesture Recognition
    Wang, Yihui
    Tian, Yafei
    Peng, Rui
    2022 14TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING, WCSP, 2022, : 466 - 471
  • [39] HOME AUTOMATION SYSTEM USING GESTURE PATTERN & VOICE RECOGNITION FOR PARALYZED PEOPLE
    Shehab, Sadat Hasan
    Rahman, Md Lizur
    Hasan, Md Hasibul
    Uddin, Md Iftekhar
    Mahmood, Syed Abrab
    Chowdhury, Azm Ehtesham
    PROCEEDINGS OF 2020 11TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (ICECE), 2020, : 25 - 28
  • [40] Hand Gesture Recognition Using Color-Depth Association for Smart Home
    Shih, Huang-Chia
    Ma, Chang-Hsian
    2018 FIRST INTERNATIONAL COGNITIVE CITIES CONFERENCE (IC3 2018), 2018, : 195 - 197