A robust, real-time control scheme for multifunction myoelectric control

Englehart, K., Hudgins, B.·2003·IEEE Transactions on Biomedical Engineering

Cited by (1,000)

Items 701–800 of 1,000

  1. Highly durable machine-learned waterproof electronic glove based on low-cost thermal transfer printing for amphibious wearable applications
    Shengshun Duan, Jiayi Wang, Yong Quan Lin, Jianlong Hong, Yucheng Lin, Yier Xia, Yinghui Li, Di Zhu, Wei Lei, Wenming Su et al. · 2022 · Nano Research
  2. Closed-Loop Control of a Multifunctional Myoelectric Prosthesis With Full-State Anatomically Congruent Electrotactile Feedback
    Martin Alexander Garenfeld, Matija D. Strbac, Nikola Jorgovanović, Jakob Lund Dideriksen, Strahinja S. Dosen · 2023 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  3. Enhancing sEMG-Based Finger Motion Prediction with CNN-LSTM Regressors for Controlling a Hand Exoskeleton
    Mirco Vangi, Chiara Brogi, Alberto Topini, Nicola Secciani, Alessandro Ridolfi · 2023 · Machines
  4. A Transformer-Based Multi-Task Learning Framework for Myoelectric Pattern Recognition Supporting Muscle Force Estimation
    Xinhui Li, Xu Zhang, Liwei Zhang, Xiang 'Anthony' Chen, Ping Zhou · 2023 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  5. Myoelectric neural interface enables accurate control of a virtual multiple degree-of-freedom foot-ankle prosthesis
    Dennis C. Tkach, Robert D. Lipschutz, Suzanne B. Finucane, Levi J. Hargrove · 2013 · International Conference on Rehabilitation Robotics
  6. Embedded surface classification in digital sports
    Bjoern M. Eskofier, Mark Oleson, C. DiBenedetto, Joachim Hornegger A · 2009 · Pattern Recognition Letters
  7. Simple and Computationally Efficient Movement Classification Approach for EMG-controlled Prosthetic Hand: ANFIS vs. Artificial Neural Network
    Hessam Jahani Fariman, Siti Anom Ahmad, Mohammad Hamiruce Marhaban, Mohammad Ali Jan Ghasab, Paul H. Chappell · 2015 · Intelligent Automation & Soft Computing
  8. Supervised Hierarchical Bayesian Model-Based Electomyographic Control and Analysis
    Hyonyoung Han, Sungho Jo · 2013 · IEEE Journal of Biomedical and Health Informatics
  9. EMG AMPLITUDE ESTIMATORS BASED ON PROBABILITY DISTRIBUTION FOR MUSCLE–COMPUTER INTERFACE
    Angkoon Phinyomark, Franck Quaine, Yann Laurillau, Sirinee Thongpanja, Chusak Limsakul, Pornchai Phukpattaranont · 2013 · Fluctuation and Noise Letters
  10. Adaptive Whitening in Electromyogram Amplitude Estimation for Epoch-Based Applications
    Punit Prakash, C.A. Salini, J.A. Tranquilli, Donald R. Brown, Edward A. Clancy · 2005 · IEEE Transactions on Biomedical Engineering
  11. Wrist Movement Characterization by Mechanomyography Technique
    Eduardo Mendonça Scheeren, Eddy Krueger, Guilherme Nunes Nogueira Neto, Percy Nohama, Vera Lúcia da Silveira Nantes Button · 2010 · Journal of Medical and Biological Engineering
  12. Elbow joint angle and elbow movement velocity estimation using NARX-multiple layer perceptron neural network model with surface EMG time domain parameters
    Retheep Raj, K. S. Sivanandan · 2016 · Journal of Back and Musculoskeletal Rehabilitation
  13. 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)
  14. Closed-Loop Multi-Amplitude Control for Robust and Dexterous Performance of Myoelectric Prosthesis
    Marko Marković, Marc Varel, Meike A. Schweisfurth, Arndt Friedrich Schilling, Strahinja S. Dosen · 2019 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  15. Spatio-spectral filters for low-density surface electromyographic signal classification
    Gan Huang, Zhiguo Zhang, Dingguo Zhang, Xiangyang Zhu · 2013 · Medical & Biological Engineering & Computing
  16. Microelectrode Array Recordings from the Ventral Roots in Chronically Implanted Cats
    Shubham Debnath, Matthew J. Bauman, Lee E. Fisher, Douglas J. Weber, Robert A. Gaunt · 2014 · Frontiers in Neurology
  17. Decoding Arm Movements by Myoelectric Signal and Artificial Neural Networks
    Alexandre Balbinot, Adalberto Schuck, Gabriela Winkler Favieiro · 2013 · Intelligent Control and Automation
  18. Estimation of continuous and constraint-free 3 DoF wrist movements from surface electromyogram signal using kernel recursive least square tracker
    Koushik Bakshi, M. Manjunatha, Cheruvu Siva Kumar · 2018 · Biomedical Signal Processing and Control
  19. Grasping force estimation using state-space model and Kalman Filter
    Bruno Gomes Dutra, Antonio Da Silva Silveira, Antônio Pereira · 2021 · Biomedical Signal Processing and Control
  20. Improving robotic hand control via adaptive Fuzzy-PI controller using classification of EMG signals
    Mahsa Barfi, Hamidreza Karami, Fatemeh Faridi, Zahra Sohrabi, Manouchehr Hosseini · 2022 · Heliyon
  21. Mapping Individual Motor Unit Activity to Continuous Three-DoF Wrist Torques: Perspectives for Myoelectric Control
    Chen Chen, Yang Yu, Xinjun Sheng, Jianjun Meng, Xiangyang Zhu · 2023 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  22. sEMG-Based Gesture Recognition Using Temporal History
    Chaerin Hong, Seongsik Park, Keehoon Kim · 2023 · IEEE Transactions on Biomedical Engineering
  23. 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
  24. Wireless sEMG System with a Microneedle-Based High-Density Electrode Array on a Flexible Substrate
    Minjae Kim, Gangyong Gu, Kyoung Cha, Dong Kim, Wan Kyun Chung · 2017 · Sensors
  25. An automatic and user-driven training method for locomotion mode recognition for artificial leg control
    Xiaorong Zhang, Ding Wang, Qing Yang, He Huang · 2012 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  26. Towards zero training for myoelectric control based on a wearable wireless sEMG armband
    Weichao Guo, Xinjun Sheng, Jianwei Liu, Lei Hua, Dingguo Zhang, Xiangyang Zhu · 2015 · IEEE International Conference on Advanced Intelligent Mechatronics (AIM)
  27. EMG pattern recognition using decomposition techniques for constructing multiclass classifiers
    Huaiqi Huang, Tao Li, Claudio E. Bruschini, Christian Enz, Volker M. Koch, Jörn Justiz, Christian Antfolk · 2016 · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)
  28. A hybrid auricular control system: direct, simultaneous, and proportional myoelectric control of two degrees of freedom in prosthetic hands*
    Leonie Schmalfuß, Janne Mathias Hahne, Dario Farina, Manuel Hewitt, Andreas Kogut, Wolfgang Doneit, Markus Reischl, Rüdiger Rupp, David Liebetanz · 2018 · Journal of Neural Engineering
  29. 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)
  30. Efficient correction of armband rotation for myoelectric-based gesture control interface
    Jiayuan He, Manas Vijay Joshi, Jason S. Chang, Ning Jiang · 2020 · Journal of Neural Engineering
  31. 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)
  32. Comparing Machine Learning Methods and Feature Extraction Techniques for the EMG Based Decoding of Human Intention
    Amber Turner, Dasha Shieff, Anany Dwivedi, Minas V. Liarokapis · 2021 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  33. Optimized Gaussian mixture models for upper limb motion classification
    Yonghong Huang, Kevin B. Englehart, Bernie Hudgins, Adrian D. C. Chan · 2005 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  34. An embedded controller for a 7-degree of freedom prosthetic arm
    Francesco V. Tenore, Robert S. Armiger, R. Jacob Vogelstein, Douglas S. Wenstrand, Stuart D. Harshbarger, Kevin B. Englehart · 2008 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  35. Effects of muscle fatigue on the usability of a myoelectric human-computer interface
    Alexander G Barszap, Ida-Maria Skavhaug, Sanjay S. Joshi · 2016 · Human Movement Science
  36. A Finite-Element Analysis of the Effect of Muscle Insulation and Shielding on the Surface EMG Signal
    Nikolay S. Stoykov, Madeleine M. Lowery, Todd Kuiken · 2004 · IEEE Transactions on Biomedical Engineering
  37. 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
  38. A Novel sEMG-FMG Combined Sensor Fusion Approach Based on an Attention-Driven CNN for Dynamic Hand Gesture Recognition
    Tolulope Tofunmi Oyemakinde, Frank Kulwa, Xinhao Peng, Yan Liu, Jianglang Cao, Xinping Deng, Mengtao Wang, Guanglin Li, Oluwarotimi Williams Samuel, Peng Fang et al. · 2025 · IEEE Transactions on Instrumentation and Measurement
  39. Myoelectric Control in Rehabilitative and Assistive Soft Exoskeletons: A Comprehensive Review of Trends, Challenges, and Integration with Soft Robotic Devices
    Alejandro Toro-Ossaba, Juan C. Tejada, Daniel Sanin Villa · 2025 · Biomimetics
  40. Minimum Mapping from EMG Signals at Human Elbow and Shoulder Movements into Two DoF Upper-Limb Robot with Machine Learning
    Pringgo Widyo Laksono, Takahide Kitamura, Joseph Kamau Muguro, Kojiro Matsushita, Minoru Sasaki, Muhammad Syaiful Amri bin Suhaimi · 2021 · Machines
  41. A real time surface electromyography signal driven prosthetic hand model using PID controlled DC motor
    Retheep Raj, Rejith Ramakrishna, Karingannikalm Subramanian Sivanandan · 2016 · Biomedical Engineering Letters
  42. Sonomyographic Prosthetic Interaction: Online Simultaneous and Proportional Control of Wrist and Hand Motions Using Semisupervised Learning
    Xingchen Yang, Jipeng Yan, Zongtian Yin, Honghai Liu · 2022 · IEEE/ASME Transactions on Mechatronics
  43. Proximity Perception-Based Grasping Intelligence: Toward the Seamless Control of a Dexterous Prosthetic Hand
    Si‐Hwan Heo, Hyung‐Soon Park · 2023 · IEEE/ASME Transactions on Mechatronics
  44. Realtime recognition of multi-finger prehensile gestures
    Nianfeng Wang, Yulong Chen, Xianmin Zhang · 2014 · Biomedical Signal Processing and Control
  45. The Effects of Weight and Inertia of the Prosthesis on the Sensitivity of Electromyographic Pattern Recognition in Relax State
    Christian Cipriani, Marco Controzzi, Gunter Kanitz, Rossella Sassu · 2012 · JPO Journal of Prosthetics and Orthotics
  46. Towards Chinese sign language recognition using surface electromyography and accelerometers
    Yongjie Zhuang, Bo Lv, Xinjun Sheng, Xiangyang Zhu · 2017 · International Conference on Mechatronics and Machine Vision in Practice (M2VIP)
  47. Two ways to improve myoelectric control for a transhumeral amputee after targeted muscle reinnervation: a case study
    Xu Yang, Dingguo Zhang, Yang Wang, Juntao Feng, Wendong Xu · 2018 · Journal of NeuroEngineering and Rehabilitation
  48. An efficient approach to recognize hand gestures using machine-learning algorithms
    Md Ferdous Wahid, Reza Tafreshi, Mubarak Al-Sowaidi, Reza Langari · 2018 · Middle East Conference on Biomedical Engineering
  49. Effect of Window Conditioning Parameters on the Classification Performance and Stability of EMG-Based Feature Extraction Methods
    Mojisola Grace Asogbon, Oluwarotimi Williams Samuel, Yanjuan Geng, Shixiong Chen, Deogratias Mzurikwao, Peng Fang, Guanglin Li · 2018 · IEEE International Conference on Cyborg and Bionic Systems (CBS)
  50. Wearable EMG Bridge—A Multiple-Gesture Reconstruction System Using Electrical Stimulation Controlled by the Volitional Surface Electromyogram of a Healthy Forearm
    Zheng-Yang Bi, Yunlong Wang, Haipeng Wang, Yuxuan Zhou, C. Xie, Lisen Zhu, Hongxing Wang, Bilei Wang, Jia Huang, Xiaoying Lü et al. · 2020 · IEEE Access
  51. A Novel Motion Recognition Method Based on Force Myography of Dynamic Muscle Contractions
    Xiangxin Li, Yue Zheng, Yan Liu, Lan Tian, Peng Fang, Jianglang Cao, Guanglin Li · 2022 · Frontiers in Neuroscience
  52. Using Deep Learning for Task and Tremor Type Classification in People with Parkinson’s Disease
    Ghazal Farhani, Yue Zhou, Mary E. Jenkins, Michael D. Naish, Ana Luisa Trejos · 2022 · Sensors
  53. Radio frequency identification — An innovative solution to guide dexterous prosthetic hands
    Matthew Trachtenberg, Girish Singhal, Rahul R. Kaliki, Ryan J. Smith, Nitish V. Thakor · 2011 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  54. An Innovative Multisensor Controlled Prosthetic Hand
    Nicola Carbonaro, G. Anania, M. Bacchereti, G. Donati, L. Ferretti, G. Pellicci, Giacomo Parrini, N. Vitetta, Danilo De Rossi, Alessandro Tognetti · 2013 · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
  55. Analysis of Contraction Effort Level in EMG-Based Gesture Recognition Using Hyperdimensional Computing
    Ali Moin, Andy Zhou, Simone Benatti, Abbas Rahimi, L. Benini, Jan M. Rabaey · 2019 · IEEE Biomedical Circuits and Systems Conference (BioCAS)
  56. Shoulder girdle recognition using electrophysiological and low frequency anatomical contraction signals for prosthesis control
    Ejay Nsugbe, Ali Hussein Al-Timemy · 2021 · CAAI Transactions on Intelligence Technology
  57. A generic neural network model to estimate populational neural activity for robust neural decoding
    Rinku Roy, Feng Xu, Derek G. Kamper, Xiaogang Hu · 2022 · Computers in Biology and Medicine
  58. Role of the Window Length for Myoelectric Pattern Recognition in Detecting User Intent of Motion
    Andrea Tigrini, Mara Scattolini, Alessandro Mengarelli, Sandro Fioretti, Micaela Morettini, Laura Burattini, Federica Verdini · 2022 · IEEE International Symposium on Medical Measurements and Applications (MeMeA)
  59. Limb loading enhances skill transfer between augmented and physical reality tasks during limb loss rehabilitation
    Christopher L. Hunt, Yinghe Sun, Shipeng Wang, Ahmed W. Shehata, Jacqueline S. Hebert, Marlís González‐Fernández, Rahul R. Kaliki, Nitish V. Thakor · 2023 · Journal of NeuroEngineering and Rehabilitation
  60. A wireless wearable sEMG and NIRS acquisition system for an enhanced human-computer interface
    Weichao Guo, Pengfei Yao, Xinjun Sheng, Honghai Liu, Xiangyang Zhu · 2014 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
  61. Improving long term myoelectric decoding, using an adaptive classifier with label correction
    Sarthak Jain, Girish Singhal, Ryan J. Smith, Rahul R. Kaliki, Nitish V. Thakor · 2012 · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)
  62. Surface Electromyography Feature Extraction Based on Wavelet Transform
    Farzaneh Akhavan Mahdavi, Siti Anom Ahmad, Mohd Hamiruce Marhaban, Mohammad-R. Akbarzadeh-T · 2012 · International Journal of Integrated Engineering
  63. Swarm Intelligence based Dimensionality Reduction for Myoelectric Control
    Rami N. Khushaba, Ahmed Al-Ani, Adel Ali Al-Jumaily · 2007 · International Conference on Intelligent Sensors, Sensor Networks and Information Processing
  64. Pilot Comparison of Surface vs. Implanted EMG for Multifunctional Prosthesis Control
    Todd R. Farrell, Richard F ff Weir · 2005 · International Conference on Rehabilitation Robotics
  65. A Linear Optimization Procedure for an EMG-driven NeuroMusculoSkeletal Model Parameters Adjusting: Validation Through a Myoelectric Exoskeleton Control
    Domenico Buongiorno, Francesco Barone, Massimiliano Solazzi, Vitoantonio Bevilacqua, Antonio Frisoli · 2016 · Lecture notes in computer science
  66. Discrete Hand Motion Intention Decoding Based on Transient Myoelectric Signals
    Yurong Li, Qian Zhang, Nianyin Zeng, Jun Chen, Qianhui Zhang · 2019 · IEEE Access
  67. Subject Transfer Framework Based on Source Selection and Semi-Supervised Style Transfer Mapping for Semg Pattern Recognition
    Suguru Kanoga, Takayuki Hoshino, Hideki Asoh · 2020 · IEEE International Conference on Acoustics Speech and Signal Processing
  68. Surface electromyographic activity of five residual limb muscles recorded during isometric contraction in transfemoral amputees with osseointegrated prostheses
    Annette Pantall, Sally Durham, David Ewins · 2011 · Clinical Biomechanics
  69. Musculoskeletal model for simultaneous and proportional control of 3-DOF hand and wrist movements from EMG signals
    Lizhi Pan, Dustin L. Crouch, He Huang · 2017 · International IEEE/EMBS Conference on Neural Engineering
  70. Linear regression with frequency division technique for robust simultaneous and proportional myoelectric control during medium and high contraction-level variation
    Ashirbad Pradhan, Ning Jiang, Victoria L. Chester, Usha Kuruganti · 2020 · Biomedical Signal Processing and Control
  71. Wearable EMG-Based Gesture Recognition Systems During Activities of Daily Living: An Exploratory Study
    Jason S. Chang, Angkoon Phinyomark, Scott Bateman, Erik Scheme · 2020 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  72. Toward a Wireless Wearable System for Bidirectional Human-Machine Interface With Gesture Recognition and Vibration Feedback
    Yun Fang, Weichao Guo, Xinjun Sheng · 2022 · IEEE Sensors Journal
  73. 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
  74. EMG-based 3D hand gesture prediction using transformer–encoder classification
    Tahira Mahboob, Min Young Chung, Kae Won Choi · 2023 · ICT Express
  75. Decision-Change Informed Rejection Improves Robustness in Pattern Recognition-Based Myoelectric Control
    Shriram Tallam Puranam Raghu, Dawn MacIsaac, Erik Scheme · 2023 · IEEE Journal of Biomedical and Health Informatics
  76. A Robust and Real-Time Framework of Cross-Subject Myoelectric Control Model Calibration via Multi-Source Domain Adaptation
    Jiayan Liu, Yangyang Yuan, Xinyu Jiang, Yao Guo, Fumin Jia, Chenyun Dai · 2024 · IEEE Journal of Biomedical and Health Informatics
  77. Joint application of feature extraction based on EMD-AR strategy and multi-class classifier based on LS-SVM in EMG motion classification
    Zhiguo Yan, Zhizhong Wang, Xiaomei Ren · 2007 · Journal of Zhejiang University. Science A
  78. Adaptive neuro-fuzzy logic analysis based on myoelectric signals for multifunction prosthesis control
    Gabriela Winkler Favieiro, Alexandre Balbinot · 2011 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  79. Facial neuromuscular signal classification by means of least square support vector machine for MuCI
    Mahyar Hamedi, Sh‐Hussain Salleh, Alias Mohd Noor · 2015 · Applied Soft Computing
  80. Promise of embedded system with GPU in artificial leg control: Enabling time-frequency feature extraction from electromyography
    Weijun Xiao, He Huang, Yan Lindsay Sun, Qing Yang · 2009 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  81. Effect of dynamic change of arm position on myoelectric pattern recognition
    Jianwei Liu, Dingguo Zhang, Jiayuan He, Xiangyang Zhu · 2012 · IEEE International Conference on Robotics and Biomimetics (ROBIO)
  82. A novel immersive augmented reality system for prosthesis training and assessment
    Alexander Boschmann, Strahinja S. Dosen, Andreas Werner, Ali Raies, Dario Farina · 2016 · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...)
  83. Performance Analysis of Artificial Neural Network for Hand Movement Detection from EMG Signals
    Angana Saikia, Sushmi Mazumdar, Nitin Sahai, Sudip Paul, Dinesh Bhatia · 2019 · IETE Journal of Research
  84. Low-density surface electromyographic patterns under electrode shift: Characterization and NMF-based classification
    Gan Huang, Zhien Xian, Fei Tang, Linling Li, Li Zhang, Zhiguo Zhang · 2020 · Biomedical Signal Processing and Control
  85. Using textile electrode EMG for prosthetic movement identification in transradial amputees
    Haoshi Zhang, Lan Tian, Liangqing Zhang, Guanglin Li · 2013 · Wearable and Implantable Body Sensor Networks
  86. ANALYSIS WINDOW INDUCED CONTROLLER DELAY FOR MULTIFUNCTIONAL PROSTHESES
    Todd R. Farrell, Richard F ff Weir · 2008 · DukeSpace (Duke University)
  87. Real-time control strategy for EMG-drive meal assistance robot — my spoon
    Zhang Xiu, Xingyu Wang, Bei Wang, Takenao Sugi, Masatoshi Nakamura · 2008 · International Conference on Control, Automation and Systems (ICCAS)
  88. Surface Electromyography: Its Role and Potential in the Development of Exoskeleton (Review)
    Natalia N. Rukina, Alexey N. Kuznetsov, В.В. Борзиков, O V Komkova, Anna N. Belova · 2016 · Современные технологии в медицине
  89. Dexterous hand gestures recognition based on low-density sEMG signals for upper-limb forearm amputees
    John Jairo Villarejo Mayor, Regina Mamede Costa, Anselmo Frizera, Teodiano Bastos-Filho · 2017 · Research on Biomedical Engineering
  90. Exploration of Gait Parameters Affecting the Accuracy of Force Myography-Based Gait Phase Detection
    Xianta Jiang, L. Tory, Mahta Khoshnam, Kelvin H.T. Chu, Carlo Menon · 2018 · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)
  91. Realizing Efficient EMG-Based Prosthetic Control Strategy
    Guanglin Li, Oluwarotimi Williams Samuel, Chuang Lin, Mojisola Grace Asogbon, Peng Fang, Oluwagbenga Paul Idowu · 2019 · Advances in experimental medicine and biology
  92. Towards semg classification based on Bayesian and k-NN to control a prosthetic hand
    R. M. G. Tello, Teodiano Bastos-Filho, Regina Mamede Costa, Anselmo Frizera, Sridhar P. Arjunan, Dinesh Kumar · 2013 · ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living
  93. Improved discrete fourier transform based spectral feature for surface electromyogram signal classification
    Jiayuan He, Dingguo Zhang, Xinjun Sheng, Jianjun Meng, Xiangyang Zhu · 2013 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  94. Controlling a robotic arm for functional tasks using a wireless head-joystick: A case study of a child with congenital absence of upper and lower limbs
    Sanders Aspelund, Priya Patel, Mei-Hua Lee, Florian A. Kagerer, Rajiv Ranganathan, Ranjan Mukherjee · 2020 · PLoS ONE
  95. Real-time EMG based prosthetic hand controller realizing neuromuscular constraint
    Nayan M. Kakoty, Lakhyajit Gohain, Juri Borborua Saikia, Amlan Jyoti Kalita, Satyajit Borah · 2022 · International Journal of Intelligent Robotics and Applications
  96. Approaching the accuracy–cost conflict in embedded classification system design
    Ulf J. Jensen, Patrick Kugler, Matthias Ring, Bjoern M. Eskofier · 2015 · Pattern Analysis and Applications
  97. Decoding arm movements by myoeletric signals and artificial neural networks
    Gabriela Winkler Favieiro, Alexandre Balbinot, Mara Marly Gomes Barreto · 2011 · ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living
  98. EMPIRICAL COPULA-BASED TEMPLATES TO RECOGNIZE SURFACE EMG SIGNALS OF HAND MOTIONS
    Zhaojie Ju, Xiangyang Zhu, Honghai Liu · 2011 · International Journal of Humanoid Robotics
  99. A strategy for minimizing the effect of misclassifications during real time pattern recognition myoelectric control
    Ann M. Simon, Levi J. Hargrove, Blair A. Lock, Todd Kuiken · 2009 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  100. Classification of physical activities using wearable sensors
    Muhammad Arif, Ahmed J. Kattan, Sheikh Iqbal Ahamed · 2015 · Intelligent Automation & Soft Computing