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Device-free Human Activity Recognition using CSI

Published: 01 November 2015 Publication History

Abstract

Activity recognition is an important component of pervasive computing applications. Device-free activity recognition has the advantage that it does not have the privacy concern of using cameras and the subjects do not have to carry a device on them. Recently, it has been shown that channel state information (CSI) can be used for device-free activity recognition. Their key limitation lies in the lack of universality. In this paper, we propose ARM, a wireless human Activity Recognition and Monitoring system. ARM investigate the correlation between CSI phase variation and human activity. We present an efficient carrier frequency offset (CFO) estimation algorithm for Wi-Fi devices and introduce Haar wavelet function to eliminate the noises. After these preprocessing, ARM uses the correlation as the profiling mechanism and recognizes a given activity by profile matching. We implemented ARM using both commercial Wi-Fi devices and USRP to evaluate it in different environments. Our result- s show that ARM achieves an average accuracy of greater than 75%.

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  • (2023)WiFi Sensing on the Edge: Signal Processing Techniques and Challenges for Real-World SystemsIEEE Communications Surveys & Tutorials10.1109/COMST.2022.320914425:1(46-76)Online publication date: Sep-2024
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      cover image ACM Conferences
      CSAR '15: Proceedings of the 1st Workshop on Context Sensing and Activity Recognition
      November 2015
      62 pages
      ISBN:9781450338424
      DOI:10.1145/2820716
      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 ACM 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: 01 November 2015

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      Author Tags

      1. CSI
      2. DTW
      3. activity recognition
      4. device-free

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      • Research-article

      Funding Sources

      • Zhejiang Provincial Science Technology Plan Projects Key Science Technology Specific Project
      • China 863 Grant
      • NSFC Grant

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      Cited By

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      • (2024)Design of a Low-Cost and Device-Free Human Activity Recognition Model for Smart LED Lighting ControlIEEE Internet of Things Journal10.1109/JIOT.2023.330821911:4(5558-5567)Online publication date: 15-Feb-2024
      • (2024)AirLock: Unlock in-air via hand rotation recognitionExpert Systems with Applications10.1016/j.eswa.2024.124330(124330)Online publication date: May-2024
      • (2023)WiFi Sensing on the Edge: Signal Processing Techniques and Challenges for Real-World SystemsIEEE Communications Surveys & Tutorials10.1109/COMST.2022.320914425:1(46-76)Online publication date: Sep-2024
      • (2022)WiAdvProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35346186:2(1-25)Online publication date: 7-Jul-2022
      • (2022)Determining Best Hardware, Software and Data Structures for Worker Guidance during a Complex Assembly TaskProceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments10.1145/3529190.3529200(63-72)Online publication date: 29-Jun-2022
      • (2022)Human Activity Recognition Based on the Fading Characteristics of the On-Body ChannelIEEE Sensors Journal10.1109/JSEN.2022.315999222:8(8094-8103)Online publication date: 15-Apr-2022
      • (2022)Target-oriented Semi-supervised Domain Adaptation for WiFi-based HARIEEE INFOCOM 2022 - IEEE Conference on Computer Communications10.1109/INFOCOM48880.2022.9796782(420-429)Online publication date: 2-May-2022
      • (2022)Towards a Low-cost WiFi based Real-time Human Activity Recognition System2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS)10.1109/COINS54846.2022.9854935(1-6)Online publication date: 1-Aug-2022
      • (2021)Recognition for Human Gestures Based on Convolutional Neural Network Using the Off-the-Shelf Wi-Fi RoutersWireless Communications and Mobile Computing10.1155/2021/78212412021(1-12)Online publication date: 3-Nov-2021
      • (2021)Location- and Person-Independent Activity Recognition with WiFi, Deep Neural Networks, and Reinforcement LearningACM Transactions on Internet of Things10.1145/34247392:1(1-25)Online publication date: 21-Jan-2021
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