skip to main content
10.1145/3458380.3458391acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicdspConference Proceedingsconference-collections
research-article

Action recognition method based on wavelet transform and neural network in wireless network

Published: 23 September 2021 Publication History

Abstract

With the popularization of wireless networks in life, wireless network-based action recognition methods developed better prospects in the fields of human-computer interaction, security and Internet of Things. In order to perform action recognition efficiently and stably, this paper considers combining Butterworth filtering and wavelet transform for denoising, and extracting features through self-organizing competitive neural network, and finally using Softmax regression function for action classification and recognition. Experimental results show that this method has a higher recognition rate and a strong stability.

References

[1]
Nelson R C, Polana R. Qualitative recognition of action using temporal texture[J]. CVGIP: Image understanding, 1992, 56(1): 78-89.
[2]
Kale G V, Patil V H. A study of vision based human action recognition and analysis[J]. International Journal of Ambient Computing and Intelligence (IJACI), 2016, 7(2): 75-92.
[3]
Kim S Y, Han H G, Kim J W, A hand gesture recognition sensor using reflected impulses[J]. IEEE Sensors Journal, 2017, 17(10): 2975-2976.
[4]
Wang M, Zhang Y D, Cui G. Human action recognition exploiting radar with stacked recurrent neural network[J]. Digital Signal Processing, 2019, 87: 125-131.
[5]
Zhao J, Liu L, Wei Z, R-DEHM: CSI-based robust duration estimation of human action with WiFi[J]. Sensors, 2019, 19(6): 1421.
[6]
Zeng Y, Wu D, Xiong J, MultiSense: Enabling multi-person respiration sensing with commodity wifi[J]. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2020, 4(3): 1-29.
[7]
Yan H, Zhang Y, Wang Y, WiAct: A passive WiFi-based human activity recognition system[J]. IEEE Sensors Journal, 2019, 20(1): 296-305.
[8]
Gao Q, Wang J, Ma X, CSI-based device-free wireless localization and activity recognition using radio image features[J]. IEEE Transactions on Vehicular Technology, 2017, 66(11): 10346-10356.
[9]
Xin T, Guo B, Wang Z, Freesense: Indoor human identification with Wi-Fi signals[C]//2016 IEEE Global Communications Conference (GLOBECOM). IEEE, 2016: 1-7.
[10]
Wang X, Gao L, Mao S. PhaseFi: Phase fingerprinting for indoor localization with a deep learning approach[C]//2015 IEEE Global Communications Conference (GLOBECOM). IEEE, 2015: 1-6.
[11]
Robertson D G E, Dowling J J. Design and responses of Butterworth and critically damped digital filters[J]. Journal of Electromyography and Kinesiology, 2003, 13(6): 569-573.
[12]
Tadaaki Y, Okamoto T, Goto Y, Signal processing apparatus, signal processing method, and reception system: U.S. Patent 8,358,722[P]. 2013-1-22.
[13]
Wang X, Yang C, Mao S. On CSI-Based Vital Sign Monitoring Using Commodity WiFi[J]. ACM Transactions on Computing for Healthcare, 2020, 1(3): 1-27.
[14]
Zhang L, Wang J, Gao Q, LetFi: Letter recognition in the air using CSI[C]//2018 IEEE Global Communications Conference (GLOBECOM). IEEE, 2018: 1-6.
[15]
Zhou Q, Xing J, Yang Q. Device-free occupant activity recognition in smart offices using intrinsic Wi-Fi components[J]. Building and Environment, 2020, 172: 106737.
[16]
Wang J, Zhang L, Gao Q, Device-free wireless sensing in complex scenarios using spatial structural information[J]. IEEE Transactions on Wireless Communications, 2018, 17(4): 2432-2442.
[17]
Gao, Qinghua, "Device-free activity recognition based on coherence histogram." IEEE Transactions on Industrial Informatics 15.2 (2018): 954-964.

Cited By

View all

Index Terms

  1. Action recognition method based on wavelet transform and neural network in wireless network
        Index terms have been assigned to the content through auto-classification.

        Recommendations

        Comments

        Information & Contributors

        Information

        Published In

        cover image ACM Other conferences
        ICDSP '21: Proceedings of the 2021 5th International Conference on Digital Signal Processing
        February 2021
        336 pages
        ISBN:9781450389365
        DOI:10.1145/3458380
        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]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 23 September 2021

        Permissions

        Request permissions for this article.

        Check for updates

        Author Tags

        1. Action recognition
        2. neural network
        3. wavelet transform
        4. wireless network

        Qualifiers

        • Research-article
        • Research
        • Refereed limited

        Conference

        ICDSP 2021

        Contributors

        Other Metrics

        Bibliometrics & Citations

        Bibliometrics

        Article Metrics

        • Downloads (Last 12 months)10
        • Downloads (Last 6 weeks)2
        Reflects downloads up to 15 Feb 2025

        Other Metrics

        Citations

        Cited By

        View all
        • (2025)Enhanced EVENODD Encoding Techniques: Innovations for Improved Data ResilienceITM Web of Conferences10.1051/itmconf/2025730302773(03027)Online publication date: 17-Feb-2025
        • (2025)Enhanced Distributed Computation for Machine Learning: Coded Strategies and Multidisciplinary ImpactITM Web of Conferences10.1051/itmconf/2025730302673(03026)Online publication date: 17-Feb-2025
        • (2025)Optimizing Data Integrity and Efficiency: Advances and Applications of Pyramid CodingITM Web of Conferences10.1051/itmconf/2025730302573(03025)Online publication date: 17-Feb-2025
        • (2025)Optimizing Energy Efficiency and Green Storage in RAID-6 Systems: Comparative Analyses of Error Correction CodesITM Web of Conferences10.1051/itmconf/2025730302473(03024)Online publication date: 17-Feb-2025
        • (2025)Advancements in Coded Computation: Integrating Encoding Matrices with Data Shuffling for Enhanced Data Transmission EfficiencyITM Web of Conferences10.1051/itmconf/2025730302373(03023)Online publication date: 17-Feb-2025
        • (2025)Enhancing Fault Tolerance in Distributed Storage Systems through an Extended EVENODD CodeITM Web of Conferences10.1051/itmconf/2025730301773(03017)Online publication date: 17-Feb-2025
        • (2024)Advancements and Challenges in Text-to-Image Synthesis: Exploring Deep Learning TechniquesTransactions on Computer Science and Intelligent Systems Research10.62051/fmg449215(515-521)Online publication date: 12-Aug-2024
        • (2024)Comparison of FPGA and GPU Architectures in Advancing High Computing Power in Integrated Circuits2024 International Conference on Interactive Intelligent Systems and Techniques (IIST)10.1109/IIST62526.2024.00094(639-644)Online publication date: 4-Mar-2024
        • (2024)Multi-scale sampling attention graph convolutional networks for skeleton-based action recognitionNeurocomputing10.1016/j.neucom.2024.128086597(128086)Online publication date: Sep-2024
        • (2023)Global spatio-temporal synergistic topology learning for skeleton-based action recognitionPattern Recognition10.1016/j.patcog.2023.109540140:COnline publication date: 1-Aug-2023
        • 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

        HTML Format

        View this article in HTML Format.

        HTML Format

        Figures

        Tables

        Media

        Share

        Share

        Share this Publication link

        Share on social media