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We can hear you with Wi-Fi!

Published: 07 September 2014 Publication History

Abstract

Recent literature advances Wi-Fi signals to "see" people's motions and locations. This paper asks the following question: Can Wi-Fi "hear" our talks? We present WiHear, which enables Wi-Fi signals to "hear" our talks without deploying any devices. To achieve this, WiHear needs to detect and analyze fine-grained radio reflections from mouth movements. WiHear solves this micro-movement detection problem by introducing Mouth Motion Profile that leverages partial multipath effects and wavelet packet transformation. Since Wi-Fi signals do not require line-of-sight, WiHear can "hear" people talks within the radio range. Further, WiHear can simultaneously "hear" multiple people's talks leveraging MIMO technology. We implement WiHear on both USRP N210 platform and commercial Wi-Fi infrastructure. Results show that within our pre-defined vocabulary, WiHear can achieve detection accuracy of 91% on average for single individual speaking no more than 6 words and up to 74% for no more than 3 people talking simultaneously. Moreover, the detection accuracy can be further improved by deploying multiple receivers from different angles.

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    cover image ACM Conferences
    MobiCom '14: Proceedings of the 20th annual international conference on Mobile computing and networking
    September 2014
    650 pages
    ISBN:9781450327831
    DOI:10.1145/2639108
    Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Publication History

    Published: 07 September 2014

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    Author Tags

    1. interference cancelation
    2. micro-motion detection
    3. moving pattern recognition
    4. wi-fi radar

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    MobiCom '14 Paper Acceptance Rate 36 of 220 submissions, 16%;
    Overall Acceptance Rate 440 of 2,972 submissions, 15%

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    Cited By

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    • (2024)Device-Free Wireless Sensing for Gesture Recognition Based on Complementary CSI Amplitude and PhaseSensors10.3390/s2411341424:11(3414)Online publication date: 25-May-2024
    • (2024)Exposing Data Leakage in Wi-Fi CSI-Based Human Action Recognition: A Critical AnalysisInventions10.3390/inventions90400909:4(90)Online publication date: 15-Aug-2024
    • (2024)TCS-Fall: Cross-individual fall detection system based on channel state information and time-continuous stack methodDIGITAL HEALTH10.1177/2055207624125904710Online publication date: 4-Jun-2024
    • (2024)An Eavesdropping System Based on Magnetic Side-Channel Signals Leaked by SpeakersACM Transactions on Sensor Networks10.1145/363706320:2(1-30)Online publication date: 10-Jan-2024
    • (2024)Interference-Negligible Privacy-Preserved Shield for RF sensingIEEE Transactions on Mobile Computing10.1109/TMC.2023.3276930(1-12)Online publication date: 2024
    • (2024)MIMOCrypt: Multi-User Privacy-Preserving Wi-Fi Sensing via MIMO Encryption2024 IEEE Symposium on Security and Privacy (SP)10.1109/SP54263.2024.00025(2812-2830)Online publication date: 19-May-2024
    • (2024)Wi-Fi-Based Human Activity Recognition for Continuous, Whole-Room Monitoring of Motor Functions in Parkinson’s DiseaseIEEE Open Journal of Antennas and Propagation10.1109/OJAP.2024.33931175:3(788-799)Online publication date: Jun-2024
    • (2024)WiMgrain: Multivariety Grain Moisture Content Detection Using Wi-Fi CSI DataIEEE Sensors Journal10.1109/JSEN.2024.337159624:8(12917-12933)Online publication date: 15-Apr-2024
    • (2024)Deep-Learning-Assisted Optical Transmitter Fingerprint Identification Based on the Constellation DiagramIEEE Internet of Things Journal10.1109/JIOT.2024.340620211:17(28635-28648)Online publication date: 1-Sep-2024
    • (2024)Vision Transformers for Human Activity Recognition Using WiFi Channel State InformationIEEE Internet of Things Journal10.1109/JIOT.2024.337533711:17(28111-28122)Online publication date: 1-Sep-2024
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