Deep learning with convolutional neural networks applied to electromyography data: a resource for the classification of movements for prosthetic hands

Atzori, Manfredo, Cognolato, Matteo, Müller, Henning·2016·Frontiers in Neurorobotics

Cited by (681)

Items 201–300 of 681

  1. Evaluating Convolutional Neural Networks as a Method of EEG–EMG Fusion
    Jacob Tryon, Ana Luisa Trejos · 2021 · Frontiers in Neurorobotics
  2. A novel silent speech recognition approach based on parallel inception convolutional neural network and Mel frequency spectral coefficient
    Jinghan Wu, Yakun Zhang, Liang Xie, Yan Ye, Xu Zhang, Shuang Liu, Xingwei An, Erwei Yin, Dong Ming · 2022 · Frontiers in Neurorobotics
  3. On EMG Based Dexterous Robotic Telemanipulation: Assessing Machine Learning Techniques, Feature Extraction Methods, and Shared Control Schemes
    Ricardo V. Godoy, Anany Dwivedi, Bonnie Guan, Amber Turner, Dasha Shieff, Minas V. Liarokapis · 2022 · IEEE Access
  4. Volitional control of upper-limb exoskeleton empowered by EMG sensors and machine learning computing
    Biao Chen, Yang Chun Zhou, Chaoyang Chen, Zain Sayeed, Jie Hu, Jin Qi, Todd J. Frush, Henry Goitz, John Hovorka, Mark Ming‐Cheng Cheng et al. · 2023 · Array
  5. Use of machine learning in the field of prosthetics and orthotics: A systematic narrative review
    Yoo Jin Choo, Min Cheol Chang · 2023 · Prosthetics and Orthotics International
  6. sEMG-based recognition of composite motion with convolutional neural network
    Shuhao Qi, Xingming Wu, Wei-Hai Chen, Jingmeng Liu, Jianbin Zhang, Jianhua Wang · 2020 · Sensors and Actuators A Physical
  7. Interdisciplinary framework for cyber-attacks and anomaly detection in industrial control systems using deep learning
    Gulzar, Qawsar, Mustafa, Khurram · 2025 · Scientific Reports
  8. Integrating Upper-Limb Prostheses with the Human Body: Technology Advances, Readiness, and Roles in Human–Prosthesis Interaction
    He Huang, Levi J. Hargrove, Max Ortiz-Catalan, Jonathon W. Sensinger · 2024 · Annual Review of Biomedical Engineering
  9. Machine Learning-based sEMG Signal Classification for Hand Gesture Recognition
    Parshuram N. Aarotale, Ajita Rattani · 2024 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  10. Deep Reinforcement Learning Apply in Electromyography Data Classification
    Chengjie Song, Chunjie Chen, Yanjie Li, Xinyu Wu · 2018 · IEEE International Conference on Cyborg and Bionic Systems (CBS)
  11. SEMG Feature Extraction Based on Stockwell Transform Improves Hand Movement Recognition Accuracy
    Haotian She, Jinying Zhu, Ye Tian, Yanchao Wang, Hiroshi Yokoi, Qiang Huang · 2019 · Sensors
  12. Two-dimensional discrete feature based spatial attention CapsNet For sEMG signal recognition
    Guoqi Chen, Wanliang Wang, Zheng Wang, Honghai Liu, Zelin Zang, Weikun Li · 2020 · Applied Intelligence
  13. Few-Shot Learning for Decoding Surface Electromyography for Hand Gesture Recognition
    Elahe Rahimian, Soheil Zabihi, Amir A. Asif, S. Farokh Atashzar, Arash Mohammadi · 2021 · IEEE International Conference on Acoustics Speech and Signal Processing
  14. Hand Gesture Recognition Using Temporal Convolutions and Attention Mechanism
    Elahe Rahimian, Soheil Zabihi, Amir A. Asif, Dario Farina, S. Farokh Atashzar, Arash Mohammadi · 2022 · IEEE International Conference on Acoustics Speech and Signal Processing
  15. A Hybrid Cnn-Svm Classifier For Hand Gesture Recognition With Surface Emg Signals
    Hongfeng Chen, Runze Tong, Minjie Chen, Yinfeng Fang, Honghai Liu · 2018 · International Conference on Machine Learning and Cybernetics
  16. PaWFE: Fast Signal Feature Extraction Using Parallel Time Windows
    Manfredo Atzori, Henning Müller · 2019 · Frontiers in Neurorobotics
  17. Deep Learning for Electromyographic Hand Gesture Signal Classification by Leveraging Transfer Learning
    Ulysse Côté‐Allard, Cheikh Latyr Fall, Alexandre Drouin, Alexandre Campeau‐Lecours, Clément Gosselin, Kyrre Glette, François Laviolette, Benoit J. Gosselin · 2018 · arXiv (Cornell University)
  18. A Novel Approach to Surface EMG-Based Gesture Classification Using a Vision Transformer Integrated With Convolutive Blind Source Separation
    Mustapha Deji Dere, Boreom Lee · 2023 · IEEE Journal of Biomedical and Health Informatics
  19. Transfer Learning-Based Muscle Activity Decoding Scheme by Low-frequency sEMG for Wearable Low-cost Application
    Yurong Li, Wenxuan Zhang, Qian Zhang, Nan Zheng · 2021 · IEEE Access
  20. Multi-Attention Feature Fusion Network for Accurate Estimation of Finger Kinematics From Surface Electromyographic Signals
    Weiyu Guo, Ning Jiang, Dario Farina, Jingyong Su, Zheng Wang, Chuang Lin, Hui Xiong · 2023 · IEEE Transactions on Human-Machine Systems
  21. Upper-Limb Electromyogram Classification of Reaching-to-Grasping Tasks Based on Convolutional Neural Networks for Control of a Prosthetic Hand
    Keun-Tae Kim, Sangsoo Park, Taehyun Lim, Song Joo Lee · 2021 · Frontiers in Neuroscience
  22. Online Decomposition of Surface Electromyogram Into Individual Motor Unit Activities Using Progressive FastICA Peel-Off
    Haowen Zhao, Xu Zhang, Maoqi Chen, Ping Zhou · 2023 · IEEE Transactions on Biomedical Engineering
  23. Empowering human-robot interaction using sEMG sensor: Hybrid deep learning model for accurate hand gesture recognition
    Muhammad Hamza Zafar, Even Falkenberg Langås, Filippo Sanfilippo · 2023 · Results in Engineering
  24. A channel-fused gated temporal convolutional network for EMG-based gesture recognition
    Ping Xie, Meng Xu, Tao Shen, Jie Chen, Guoqian Jiang, Junming Xiao, Xiaoling Chen · 2024 · Biomedical Signal Processing and Control
  25. Training-Free Bayesian Self-Adaptive Classification for sEMG Pattern Recognition Including Motion Transition
    Seongsik Park, Wan Kyun Chung, Keehoon Kim · 2019 · IEEE Transactions on Biomedical Engineering
  26. Real-time Sorting of Broiler Chicken Meat with Robotic arm: XAI-enhanced Deep Learning and LIME Framework for Freshness Detection
    Mahamudul Hasan, Nishat Vasker, Musharrat Khan · 2024 · Journal of Agriculture and Food Research
  27. Narcissism, Social Media Addiction, Self-Esteem, and Haxeco Traits: Exploring Influences on Life Satisfaction Among Generation Z
    Nguyễn Ngọc Đan Thanh, Hao Yen Tran, Giang Hoang Minh Nguyen, Yen Kim Nguyen, Huong Thao Dinh · 2025 · Psychology Research and Behavior Management
  28. On the Use of Deeper CNNs in Hand Gesture Recognition Based on sEMG Signals
    Νικόλαος Τσάγκας, Panagiotis Tsinganos, Athanassios N. Skodras · 2019 · International Conference on Information, Intelligence, Systems & Applications (IISA)
  29. EMG pattern recognition via Bayesian inference with scale mixture-based stochastic generative models
    Akira Furui, Takuya Igaue, Toshio Tsuji · 2021 · Expert Systems with Applications
  30. A novel concatenate feature fusion RCNN architecture for sEMG-based hand gesture recognition
    Pufan Xu, Fei Li, Haipeng Wang · 2022 · PLoS ONE
  31. Fuzzy inference system (FIS) - long short-term memory (LSTM) network for electromyography (EMG) signal analysis
    Ravi Suppiah, Noori Kim, Anurag Sharma, Khalid Abidi · 2022 · Biomedical Physics & Engineering Express
  32. An incremental learning method with hybrid data over/down-sampling for sEMG-based gesture classification
    Shaoyang Hua, Congqing Wang, Hak‐Keung Lam, Shuhuan Wen · 2023 · Biomedical Signal Processing and Control
  33. Spatial Feature Integration in Multidimensional Electromyography Analysis for Hand Gesture Recognition
    Wensheng Chen, Yinxi Niu, Zhenhua Gan, Baoping Xiong, Shan Huang · 2023 · Applied Sciences
  34. Internet of robotic things for independent living: Critical analysis and future directions
    Muhammad Moid Sandhu, David Silvera‐Tawil, Paulo Borges, Qing Zhang, Branislav Kusý · 2024 · Internet of Things
  35. Convolutional Neural Network Application in Biomedical Signals
    Haya Alaskar · 2018 · Journal of Computer Science and Information Technology
  36. Myoelectric prosthetic hand with a proprioceptive feedback system
    Ahmed Badawy, Richard Alfred · 2019 · Journal of King Saud University - Engineering Sciences
  37. EMG Pattern Recognition Using Convolutional Neural Network with Different Scale Signal/Spectra Input
    Wei Ping Yang, Dapeng Yang, Yu Liu, Hong Liu · 2019 · International Journal of Humanoid Robotics
  38. A Survey on Deep Learning in Electromyographic Signal Analysis
    Domenico Buongiorno, Giacomo Donato Cascarano, Antonio Brunetti, Irio De Feudis, Vitoantonio Bevilacqua · 2019 · Lecture notes in computer science
  39. Lw-CNN-Based Myoelectric Signal Recognition and Real-Time Control of Robotic Arm for Upper-Limb Rehabilitation
    Benzhen Guo, Yanli Ma, Jingjing Yang, Zhihui Wang, Xiao Zhang · 2020 · Computational Intelligence and Neuroscience
  40. TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition
    Elahe Rahimian, Soheil Zabihi, Amir A. Asif, Dario Farina, S. Farokh Atashzar, Arash Mohammadi · 2021 · arXiv (Cornell University)
  41. Gesture Recognition Using MLP-Mixer With CNN and Stacking Ensemble for sEMG Signals
    Shu Shen, Minglei Li, Fan Mao, Xinrong Chen, Ran Ran · 2024 · IEEE Sensors Journal
  42. A Novel Multi-Feature Fusion Network With Spatial Partitioning Strategy and Cross-Attention for Armband-Based Gesture Recognition
    Fo Hu, Mengyuan Qian, Kailun He, Wen‐An Zhang, Xusheng Yang · 2024 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  43. Compact Deep Neural Networks for Computationally Efficient Gesture Classification From Electromyography Signals
    Adam Hartwell, Visakan Kadirkamanathan, Sean Anderson · 2018 · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)
  44. Recurrent Neural Network Based Early Prediction of Future Hand Movements
    Philipp Koch, Huy Phan, Marco Maaß, Fabrice Katzberg, Alfred Mertins · 2018 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  45. Featureless EMG pattern recognition based on convolutional neural network
    Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad, Nursabillilah Mohd Ali, T.N.S. Tengku Zawawi · 2019 · Indonesian Journal of Electrical Engineering and Computer Science
  46. A Hilbert Curve Based Representation of sEMG Signals for Gesture Recognition
    Panagiotis Tsinganos, Bruno Cornelis, Jan P. Cornelis, Bart Jansen, Athanassios N. Skodras · 2019 · International Conference on Systems, Signals and Image Processing
  47. Using Deep Learning and Mobile Offloading to Control a 3D-printed Prosthetic Hand
    Kirill Shatilov, Dimitris Chatzopoulos, Alex Wong Tat Hang, Pan Hui · 2019 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  48. Sliding-Window CNN + Channel-Time Attention Transformer Network Trained with Inertial Measurement Units and Surface Electromyography Data for the Prediction of Muscle Activation and Motion Dynamics Leveraging IMU-Only Wearables for Home-Based Shoulder Rehabilitation
    Aoyang Bai, Hongyun Song, Yan Wu, Shurong Dong, Gang Feng, Hao Jin · 2025 · Sensors
  49. Aplicaciones de las redes neuronales y el deep learning a la ingeniería biomédica
    José Luis Sarmiento-Ramos · 2020 · Revista UIS Ingenierías
  50. An Improved Automatic Image Annotation Approach Using Convolutional Neural Network-Slantlet Transform
    Myasar Mundher Adnan, Mohd Shafry Mohd Rahim, Amjad Rehman Khan, Tanzila Saba, Suliman Mohamed Fati, Saeed Ali Bahaj · 2022 · IEEE Access
  51. DLPR: Deep Learning-Based Enhanced Pattern Recognition Frame-Work for Improved Myoelectric Prosthesis Control
    Sidharth Pancholi, Amit M. Joshi, Deepak Joshi · 2022 · IEEE Transactions on Medical Robotics and Bionics
  52. sEMG-Based Gesture Recognition Method for Coal Mine Inspection Manipulator Using Multistream CNN
    Lina Tong, Mingjia Zhang, Hanghang Ma, Chen Wang, Liang Peng · 2023 · IEEE Sensors Journal
  53. Recurrent Neural Networks with Weighting Loss for Early prediction of Hand Movements
    Philipp Koch, Huy Phan, Marco Maaß, Fabrice Katzberg, Radoslaw Mazur, Alfred Mertins · 2018 · European Signal Processing Conference (EUSIPCO)
  54. Regression of Hand Movements from sEMG Data with Recurrent Neural Networks
    Philipp Koch, Mark Dreier, Anna Larsen, Tim J. Parbs, Marco Maaß, Huy Phan, Alfred Mertins · 2020 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  55. Predicting motor behavior: an efficient EEG signal processing pipeline to detect brain states with potential therapeutic relevance for VR-based neurorehabilitation
    E. J. McDermott, J. Metsomaa, Paolo Belardinelli, M. Grosse-Wentrup, U. Ziemann, Christoph Zrenner · 2021 · Virtual Reality
  56. An Extensive Study and Comparison of the Various Approaches to Object Detection using Deep Learning
    Uma Subbiah, D. Kavin Kumar, Senthil Kumar Thangavel, Latha Parameswaran · 2020 · International Conference on Smart Systems and Inventive Technology (ICSSIT)
  57. A Semiautonomous Control Strategy Based on Computer Vision for a Hand–Wrist Prosthesis
    Gianmarco Cirelli, Christian Tamantini, Luigi Pietro Cordella, Francesca Cordella · 2023 · Robotics
  58. Improving Hand Gesture Recognition Robustness to Dynamic Posture Variations by Multimodal Deep Feature Fusion
    Jiwei Li, Bi Zhang, Wanxin Chen, Chunguang Bu, Yiwen Zhao, Xingang Zhao · 2024 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  59. Dimensionality reduction for classification of object weight from electromyography
    Elnaz Lashgari, Uri Maoz · 2021 · PLoS ONE
  60. A Multi-Information Fusion Method for Gait Phase Classification in Lower Limb Rehabilitation Exoskeleton
    Yuepeng Zhang, Guang‐Zhong Cao, Zi-Qin Ling, Wenzhou Li, Haoran Cheng, Bin-Bin He, Sheng-Bin Cao, Aibin Zhu · 2021 · Frontiers in Neurorobotics
  61. On lightmyography based muscle-machine interfaces for the efficient decoding of human gestures and forces
    Mojtaba Shahmohammadi, Bonnie Guan, Ricardo Vilela de Godoy, Anany Dwivedi, Poul M. F. Nielsen, Minas V. Liarokapis · 2023 · Scientific Reports
  62. Multimodal Fusion Convolutional Neural Network Based on sEMG and Accelerometer Signals for Intersubject Upper Limb Movement Classification
    Anyuan Zhang, Qi Li, Zhenlan Li, Jiming Li · 2023 · IEEE Sensors Journal
  63. A novel approach for classification of hand movements using surface EMG signals
    Muhammad Zia ur Rehman, Syed Omer Gilani, Asim Waris, Imran Khan Niazi, Ernest Nlandu Kamavuako · 2017 · IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)
  64. Myoelectric Pattern Recognition Using Gramian Angular Field and Convolutional Neural Networks for Muscle–Computer Interface
    Junjun Fan, Jiajun Wen, Zhihui Lai · 2023 · Sensors
  65. Movement recognition via channel-activation-wise sEMG attention
    Jiaxuan Zhang, Yuki Matsuda, Manato Fujimoto, Hirohiko Suwa, Keiichi Yasumoto · 2023 · Methods
  66. Optimizing sEMG Gesture Recognition: Leveraging Channel Selection and Feature Compression for Improved Accuracy and Computational Efficiency
    Yinxi Niu, Wensheng Chen, Hui Zeng, Zhenhua Gan, Baoping Xiong · 2024 · Applied Sciences
  67. Decoding Gestures in Electromyography: Spatiotemporal Graph Neural Networks for Generalizable and Interpretable Classification
    Hunmin Lee, Ming Xin Jiang, Jinhui Yang, Zhi Yang, Qi Zhao · 2024 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  68. Discrete Hand Motion Intention Decoding Based on Transient Myoelectric Signals
    Yurong Li, Qian Zhang, Nianyin Zeng, Jun Chen, Qianhui Zhang · 2019 · IEEE Access
  69. Learning regularized representations of categorically labelled surface EMG enables simultaneous and proportional myoelectric control
    Alexander E. Olsson, Nebojša Malešević, Anders Björkman, Christian Antfolk · 2021 · Journal of NeuroEngineering and Rehabilitation
  70. INTELLIGENT UPPER-LIMB PROSTHETIC CONTROL (iULP) WITH NOVEL FEATURE EXTRACTION METHOD FOR PATTERN RECOGNITION USING EMG
    Sidharth Pancholi, Amit M. Joshi · 2021 · Journal of Mechanics in Medicine and Biology
  71. Selection of the Best Set of Features for sEMG-Based Hand Gesture Recognition Applying a CNN Architecture
    Jorge Arturo Sandoval-Espino, Alvaro Zamudio-Lara, José Antonio Marbán Salgado, Jesus Escobedo-Alatorre, Omar Palillero-Sandoval, J. Guadalupe Velásquez-Aguilar · 2022 · Sensors
  72. Early decoding of walking tasks with minimal set of EMG channels
    Federica Barberi, Francesco Iberite, Eugenio Anselmino, Pericle Randi, Rinaldo Sacchetti, Emanuele Gruppioni, Alberto Mazzoni, Silvestro Micera · 2023 · Journal of Neural Engineering
  73. A Frequency-Based Attention Neural Network and Subject-Adaptive Transfer Learning for sEMG Hand Gesture Classification
    Phuc Thanh-Thien Nguyen, Shun‐Feng Su, Chung‐Hsien Kuo · 2024 · IEEE Robotics and Automation Letters
  74. An Energy-Efficient IoT node for HMI applications based on an ultra-low power Multicore Processor
    Victor Kartsch, Marco Guermandi, Simone Benatti, Fabio Montagna, Luca Benini C · 2019 · IEEE Sensors Applications Symposium (SAS)
  75. Multi–Joint Angles Estimation of Forearm Motion Using a Regression Model
    Zixuan Qin, Sorawit Stapornchaisit, Zixun He, Natsue Yoshimura, Yasuharu Koike · 2021 · Frontiers in Neurorobotics
  76. CNN Confidence Estimation for Rejection-Based Hand Gesture Classification in Myoelectric Control
    Tianzhe Bao, Syed Ali Raza Zaidi, Sheng Quan Xie, Pengfei Yang, Zhiqiang Zhang · 2021 · IEEE Transactions on Human-Machine Systems
  77. Recent advances in wearable exoskeletons for human strength augmentation
    Jinwoo Lee, Kangkyu Kwon, Woon‐Hong Yeo · 2022 · Flexible and Printed Electronics
  78. Convolutional Neural Network based for Automatic Text Summarization
    Wajdi Homaid Alquliti, Norjihan Binti Abdul Ghani · 2019 · International Journal of Advanced Computer Science and Applications
  79. Learn the Temporal-Spatial Feature of sEMG via Dual-Flow Network
    Runze Tong, Yue Zhang, Hongfeng Chen, Honghai Liu · 2019 · International Journal of Humanoid Robotics
  80. Forearm Motion Recognition With Noncontact Capacitive Sensing
    Enhao Zheng, Jingeng Mai, Yuxiang Liu, Qining Wang · 2018 · Frontiers in Neurorobotics
  81. Advances in AI-based prosthetics development: editorial
    Shivani Chopra, Talha Bin Emran · 2024 · International Journal of Surgery
  82. Hand Gesture Recognition Using Instant High-density EMG Graph via Deep Learning Method
    Dezhen Xiong, Daohui Zhang, Xingang Zhao, Yiwen Zhao · 2020 · Chinese Automation Congress
  83. A hybrid approach to product prototype usability testing based on surface EMG images and convolutional neural network classification
    You-Lei Fu, Kuei-Chia Liang, Wu Song, Jianlong Huang · 2022 · Computer Methods and Programs in Biomedicine
  84. A Novel Application of Deep Learning (Convolutional Neural Network) for Traumatic Spinal Cord Injury Classification Using Automatically Learned Features of EMG Signal
    Farah Masood, Milan Sharma, Davleen Mand, Shanker Nesathurai, Heather A. Simmons, Kevin G. Brunner, Dane R. Schalk, John B. Sledge, Hussein A. Abdullah · 2022 · Sensors
  85. Toward Optimized VR/AR Ergonomics: Modeling and Predicting User Neck Muscle Contraction
    Yunxiang Zhang, Kenneth Chen, Qi Sun · 2023 · ACM SIGGRAPH Conference (SIGGRAPH)
  86. Continuous Intention Prediction of Lifting Motions Using EMG-Based CNN-LSTM
    Min-Seong Gwon, Jong-Ha Woo, Karur Krishna Sahithi, Sangho Kim · 2024 · IEEE Access
  87. Percentage estimation of muscular activity of the forearm by means of EMG signals based on the gesture recognized using CNN
    Javier Orlando Pinzon-Arenas, Róbinson Jiménez Moreno, Astrid Rubiano · 2020 · Sensing and Bio-Sensing Research
  88. RNN With Stacked Architecture for sEMG based Sequence-to-Sequence Hand Gesture Recognition
    Philipp Koch, Mark Dreier, Marco Maaß, Huy Phan, Alfred Mertins · 2020 · European Signal Processing Conference (EUSIPCO)
  89. Electromyography Signal Analysis and Classification using Time-Frequency Representations and Deep Learning
    Ahmed M. Elbeshbeshy, Muhammad A. Rushdi, Shereen M. El-Metwally · 2021 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  90. Multi-Channel sEMG Signal Gesture Recognition Based on Improved CNN-LSTM Hybrid Models
    Dianchun Bai, Tie Liu, Xinghua Han, Guo Chen, Yinlai Jiang, Yokoi Hiroshi · 2021 · IEEE International Conference on Intelligence and Safety for Robotics (ISR)
  91. Incremental learning of upper limb action pattern recognition based on mechanomyography
    Tongtong Zhao, Gangsheng Cao, Yue Zhang, Hanyang Zhang, Chunming Xia · 2022 · Biomedical Signal Processing and Control
  92. Deep learning and session-specific rapid recalibration for dynamic hand gesture recognition from EMG
    Maxim Karrenbach, Pornthep Preechayasomboon, Peter W. Sauer, David A. Boe, Eric Rombokas · 2022 · Frontiers in Bioengineering and Biotechnology
  93. Taking Locomotion Mode as Prior: One Algorithm-Enabled Gait Events and Kinematics Prediction on Various Terrains
    Baichun Wei, Chunzhi Yi, Shengping Zhang, Hao Yan Guo, Jianfei Zhu, Zhen Ding, Feng Jiang · 2023 · IEEE Sensors Journal
  94. Real-Time sEMG Pattern Recognition of Multiple-Mode Movements for Artificial Limbs Based on CNN-RNN Algorithm
    Sujiao Li, Yue Zhang, Yuanmin Tang, Wei Li, Wanjing Sun, Hongliu Yu · 2023 · Electronics
  95. Enhancing Gesture Classification Using Active EMG Band and Advanced Feature Extraction Technique
    Parul Rani, Sidharth Pancholi, Vikash Shaw, Manfredo Atzori, Sanjeev Kumar · 2023 · IEEE Sensors Journal
  96. Classification of EMG signals with CNN features and voting ensemble classifier
    M. Emimal, W. Jino Hans, Inbamalar Tharcis Mariapushpam, N. Mahiban Lindsay · 2024 · Computer Methods in Biomechanics & Biomedical Engineering
  97. STCNet: Spatio-Temporal Cross Network with subject-aware contrastive learning for hand gesture recognition in surface EMG
    Jaemo Yang, Doheun Cha, Dong-Gyu Lee, Sangtae Ahn · 2024 · Computers in Biology and Medicine
  98. EMG-based hand gesture classification by scale average wavelet transform and CNN
    Do-Chang Oh, Yong Un Jo · 2019 · International Conference on Control, Automation and Systems (ICCAS)
  99. REAL-TIME HAND GESTURE CLASSIFICATION USING CRNN WITH SCALE AVERAGE WAVELET TRANSFORM
    Yong-Un Jo, Do-Chang Oh · 2020 · Journal of Mechanics in Medicine and Biology
  100. Light-Weight CNN-Attention Based Architecture for Hand Gesture Recognition Via Electromyography
    Soheil Zabihi, Elahe Rahimian, Amir A. Asif, Arash Mohammadi · 2023 · IEEE International Conference on Acoustics Speech and Signal Processing