skip to main content
demonstration

Whole-home gesture recognition using wireless signals (demo)

Published: 27 August 2013 Publication History

Abstract

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 wire- less 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.

References

[1]
G. Cohn, D. Morris, S. Patel, and D. Tan. Humantenna: using the body as an antenna for real-time whole-body interaction. In CHI 2012.
[2]
S. Gollakota, F. Adib, D. Katabi, and S. Seshan. Clearing the RF Smog: Making 802.11 Robust to Cross-Technology Interference. In SIGCOMM, 2011.
[3]
S. Gollakota and D. Katabi. Zigzag decoding: combating hidden terminals in wireless networks. In ACM SIGCOMM, 2008.
[4]
D. Kim, O. Hilliges, S. Izadi, A. D. Butler, J. Chen, I. Oikonomidis, and P. Olivier. Digits: freehand 3d interactions anywhere using a wrist-worn gloveless sensor. In UIST 2012.
[5]
Q. Pu, S. Gupta, S. Gollakota, and S. Patel. Whole-home gesture recognition using wireless signals. In MOBICOM 2013.

Cited By

View all
  • (2024)Domain-Independent Gesture Recognition Using Single-Channel Time-Modulated ArrayIEEE Transactions on Antennas and Propagation10.1109/TAP.2024.337305472:4(3386-3399)Online publication date: Apr-2024
  • (2024)WiVi-GR: Wireless-Visual Joint Representation-Based Accurate Gesture RecognitionIEEE Internet of Things Journal10.1109/JIOT.2023.329237611:2(2701-2711)Online publication date: 15-Jan-2024
  • (2023)Easy Peasy: A New Handy Method for Pairing Multiple COTS IoT DevicesIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2022.319938320:4(3483-3494)Online publication date: 1-Jul-2023
  • Show More Cited By

Index Terms

  1. Whole-home gesture recognition using wireless signals (demo)

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM SIGCOMM Computer Communication Review
      ACM SIGCOMM Computer Communication Review  Volume 43, Issue 4
      October 2013
      595 pages
      ISSN:0146-4833
      DOI:10.1145/2534169
      Issue’s Table of Contents
      • cover image ACM Conferences
        SIGCOMM '13: Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM
        August 2013
        580 pages
        ISBN:9781450320566
        DOI:10.1145/2486001
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 27 August 2013
      Published in SIGCOMM-CCR Volume 43, Issue 4

      Check for updates

      Author Tags

      1. gestures
      2. user interface
      3. wireless

      Qualifiers

      • Demonstration

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)233
      • Downloads (Last 6 weeks)49
      Reflects downloads up to 20 Feb 2025

      Other Metrics

      Citations

      Cited By

      View all
      • (2024)Domain-Independent Gesture Recognition Using Single-Channel Time-Modulated ArrayIEEE Transactions on Antennas and Propagation10.1109/TAP.2024.337305472:4(3386-3399)Online publication date: Apr-2024
      • (2024)WiVi-GR: Wireless-Visual Joint Representation-Based Accurate Gesture RecognitionIEEE Internet of Things Journal10.1109/JIOT.2023.329237611:2(2701-2711)Online publication date: 15-Jan-2024
      • (2023)Easy Peasy: A New Handy Method for Pairing Multiple COTS IoT DevicesIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2022.319938320:4(3483-3494)Online publication date: 1-Jul-2023
      • (2023)Pi-Sniffer: Privacy Sniffing through the Wall with WiFi CSI2023 9th International Conference on Big Data Computing and Communications (BigCom)10.1109/BIGCOM61073.2023.00018(72-79)Online publication date: 4-Aug-2023
      • (2023)Improving accuracy using ML/DL in vision based techniques of ISLRMultimedia Tools and Applications10.1007/s11042-023-16299-583:7(20677-20698)Online publication date: 3-Aug-2023
      • (2022)A Survey of Ambient IntelligenceACM Computing Surveys10.1145/344724254:4(1-27)Online publication date: 31-May-2022
      • (2022)Human activity classification via Doppler shift estimation from 60 GHz OFDM transmission2022 32nd International Conference Radioelektronika (RADIOELEKTRONIKA)10.1109/RADIOELEKTRONIKA54537.2022.9764933(1-5)Online publication date: 21-Apr-2022
      • (2022)Tiny TCN model for Gesture Recognition With Multi-point Low power ToF-Sensors2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS)10.1109/AICAS54282.2022.9869848(356-359)Online publication date: 13-Jun-2022
      • (2022)Human Activity Recognition Systems Based on Sensor Data Using Machine LearningInternet of Things Based Smart Healthcare10.1007/978-981-19-1408-9_6(121-150)Online publication date: 19-Jul-2022
      • (2021)A Method of Identifying Water Level Information through WiFi Signal2021 Photonics & Electromagnetics Research Symposium (PIERS)10.1109/PIERS53385.2021.9694678(1739-1744)Online publication date: 21-Nov-2021
      • Show More Cited By

      View Options

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Figures

      Tables

      Media

      Share

      Share

      Share this Publication link

      Share on social media