These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

121 related articles for article (PubMed ID: 38565124)

  • 1. Transferable non-invasive modal fusion-transformer (NIMFT) for end-to-end hand gesture recognition.
    Xu T; Zhao K; Hu Y; Li L; Wang W; Wang F; Zhou Y; Li J
    J Neural Eng; 2024 Apr; 21(2):. PubMed ID: 38565124
    [No Abstract]   [Full Text] [Related]  

  • 2. Transformer-based hand gesture recognition from instantaneous to fused neural decomposition of high-density EMG signals.
    Montazerin M; Rahimian E; Naderkhani F; Atashzar SF; Yanushkevich S; Mohammadi A
    Sci Rep; 2023 Jul; 13(1):11000. PubMed ID: 37419881
    [TBL] [Abstract][Full Text] [Related]  

  • 3. TraHGR: Transformer for Hand Gesture Recognition via Electromyography.
    Zabihi S; Rahimian E; Asif A; Mohammadi A
    IEEE Trans Neural Syst Rehabil Eng; 2023; 31():4211-4224. PubMed ID: 37831560
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multi-Category Gesture Recognition Modeling Based on sEMG and IMU Signals.
    Jiang Y; Song L; Zhang J; Song Y; Yan M
    Sensors (Basel); 2022 Aug; 22(15):. PubMed ID: 35957417
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Alignment-Enhanced Interactive Fusion Model for Complete and Incomplete Multimodal Hand Gesture Recognition.
    Duan S; Wu L; Liu A; Chen X
    IEEE Trans Neural Syst Rehabil Eng; 2023; 31():4661-4671. PubMed ID: 37983152
    [TBL] [Abstract][Full Text] [Related]  

  • 6. FS-HGR: Few-Shot Learning for Hand Gesture Recognition via Electromyography.
    Rahimian E; Zabihi S; Asif A; Farina D; Atashzar SF; Mohammadi A
    IEEE Trans Neural Syst Rehabil Eng; 2021; 29():1004-1015. PubMed ID: 33945480
    [TBL] [Abstract][Full Text] [Related]  

  • 7. ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG Signals.
    Montazerin M; Zabihi S; Rahimian E; Mohammadi A; Naderkhani F
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():5115-5119. PubMed ID: 36086242
    [TBL] [Abstract][Full Text] [Related]  

  • 8. MSFF-Net: Multi-Stream Feature Fusion Network for surface electromyography gesture recognition.
    Peng X; Zhou X; Zhu H; Ke Z; Pan C
    PLoS One; 2022; 17(11):e0276436. PubMed ID: 36342906
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Study on Gesture Recognition Method with Two-Stream Residual Network Fusing sEMG Signals and Acceleration Signals.
    Hu Z; Wang S; Ou C; Ge A; Li X
    Sensors (Basel); 2024 Apr; 24(9):. PubMed ID: 38732808
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Global and Local Feature fused CNN architecture for the sEMG-based hand gesture recognition.
    Xiong B; Chen W; Niu Y; Gan Z; Mao G; Xu Y
    Comput Biol Med; 2023 Nov; 166():107497. PubMed ID: 37783073
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Dual Stream Long Short-Term Memory Feature Fusion Classifier for Surface Electromyography Gesture Recognition.
    Zhang K; Badesa FJ; Liu Y; Ferre PĂ©rez M
    Sensors (Basel); 2024 Jun; 24(11):. PubMed ID: 38894423
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Biosignal-based transferable attention Bi-ConvGRU deep network for hand-gesture recognition towards online upper-limb prosthesis control.
    Xie B; Meng J; Li B; Harland A
    Comput Methods Programs Biomed; 2022 Sep; 224():106999. PubMed ID: 35841852
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A novel concatenate feature fusion RCNN architecture for sEMG-based hand gesture recognition.
    Xu P; Li F; Wang H
    PLoS One; 2022; 17(1):e0262810. PubMed ID: 35051235
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The Impact of Feature Extraction on Classification Accuracy Examined by Employing a Signal Transformer to Classify Hand Gestures Using Surface Electromyography Signals.
    Moslhi AM; Aly HH; ElMessiery M
    Sensors (Basel); 2024 Feb; 24(4):. PubMed ID: 38400416
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Surface EMG-Based Instantaneous Hand Gesture Recognition Using Convolutional Neural Network with the Transfer Learning Method.
    Yu Z; Zhao J; Wang Y; He L; Wang S
    Sensors (Basel); 2021 Apr; 21(7):. PubMed ID: 33916379
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Hand gesture recognition using sEMG signals with a multi-stream time-varying feature enhancement approach.
    Shin J; Miah ASM; Konnai S; Takahashi I; Hirooka K
    Sci Rep; 2024 Sep; 14(1):22061. PubMed ID: 39333258
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet.
    Lin Y; Palaniappan R; De Wilde P; Li L
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():649-652. PubMed ID: 33018071
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Improved Multi-Stream Convolutional Block Attention Module for sEMG-Based Gesture Recognition.
    Wang S; Huang L; Jiang D; Sun Y; Jiang G; Li J; Zou C; Fan H; Xie Y; Xiong H; Chen B
    Front Bioeng Biotechnol; 2022; 10():909023. PubMed ID: 35747495
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Multimodal Multilevel Converged Attention Network for Hand Gesture Recognition With Hybrid sEMG and A-Mode Ultrasound Sensing.
    Wei S; Zhang Y; Liu H
    IEEE Trans Cybern; 2023 Dec; 53(12):7723-7734. PubMed ID: 36149990
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Integrated block-wise neural network with auto-learning search framework for finger gesture recognition using sEMG signals.
    Wang S; Tang H; Chen F; Tan Q; Jiang Q
    Artif Intell Med; 2024 Mar; 149():102777. PubMed ID: 38462279
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.