Visualization of activated muscle area based on sEMG
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Fei Zeng | Ying Sun | Gongfa Li | Gongfa Li | Disi Chen | Guozhang Jiang | Ying Sun | Guozhang Jiang | Haoyi Zhao | Yangwei Cheng | Jiahan Li | Jiahan Li | Ying Sun | Gongfa Li | Guozhang Jiang | Fei Zeng | Haoyi Zhao | Disi Chen | Fei Zeng | Yangwei Cheng | Jiahan Li
[1] Chi-Woong Mun,et al. Comparison of k-nearest neighbor, quadratic discriminant and linear discriminant analysis in classification of electromyogram signals based on the wrist-motion directions , 2011 .
[2] Ying Sun,et al. Surface EMG hand gesture recognition system based on PCA and GRNN , 2019, Neural Computing and Applications.
[3] Bo Tao,et al. Probability analysis for grasp planning facing the field of medical robotics , 2019, Measurement.
[4] Bo Tao,et al. Intelligent Human-Computer Interaction Based on Surface EMG Gesture Recognition , 2019, IEEE Access.
[5] Gongfa Li,et al. Human Lesion Detection Method Based on Image Information and Brain Signal , 2019, IEEE Access.
[6] Andrew G. Ewing,et al. Using imaging ToF‐SIMS data to determine the cell wall thickness of fibers in wood , 2014 .
[7] Alireza Akbarzadeh,et al. Toward a bio-inspired rehabilitation aid: sEMG-CPG approach for online generation of jaw trajectories for a chewing robot , 2019, Biomed. Signal Process. Control..
[8] William Z Rymer,et al. Changes in motor unit behavior following isometric fatigue of the first dorsal interosseous muscle. , 2015, Journal of neurophysiology.
[9] Ahmed Farouk,et al. Robust general N user authentication scheme in a centralized quantum communication network via generalized GHZ states , 2017, Frontiers of Physics.
[10] G. Brostow,et al. HILC: Domain-Independent PbD System Via Computer Vision and Follow-Up Questions , 2019, ACM Trans. Interact. Intell. Syst..
[11] Ahmed Farouk,et al. Red-Green-Blue multi-channel quantum representation of digital images , 2017 .
[12] Jarmo T. Alander,et al. Integer-based accurate conversion between RGB and HSV color spaces , 2015, Comput. Electr. Eng..
[13] Yinfeng Fang,et al. Interface Prostheses With Classifier-Feedback-Based User Training , 2017, IEEE Transactions on Biomedical Engineering.
[14] Honghai Liu,et al. Optimal grasp planning of multi-fingered robotic hands:a review , 2015 .
[15] Honghai Liu,et al. Hand gesture recognition based on convolution neural network , 2017, Cluster Computing.
[16] Dingguo Zhang,et al. sEMG Bias-Driven Functional Electrical Stimulation System for Upper-Limb Stroke Rehabilitation , 2018, IEEE Sensors Journal.
[17] Ahmed Farouk,et al. A New Quantum Watermarking Based on Quantum Wavelet Transforms , 2017 .
[18] Munish Kumar,et al. Fusion of RGB and HSV colour space for foggy image quality enhancement , 2018, Multimedia Tools and Applications.
[19] Jung Kim,et al. Recognition of walking environments and gait period by surface electromyography , 2019, Frontiers of Information Technology & Electronic Engineering.
[20] Gordon Cheng,et al. Gumpy: a Python toolbox suitable for hybrid brain–computer interfaces , 2018, Journal of neural engineering.
[21] Angkoon Phinyomark,et al. EMG feature evaluation for improving myoelectric pattern recognition robustness , 2013, Expert Syst. Appl..
[22] M. Osman Tokhi,et al. A fuzzy clustering neural network architecture for multifunction upper-limb prosthesis , 2003, IEEE Transactions on Biomedical Engineering.
[23] Beth Jelfs,et al. Self-Recalibrating Surface EMG Pattern Recognition for Neuroprosthesis Control Based on Convolutional Neural Network , 2017, Front. Neurosci..
[24] Honghai Liu,et al. Surface EMG data aggregation processing for intelligent prosthetic action recognition , 2018, Neural Computing and Applications.
[25] Hao Wu,et al. Dynamic Gesture Recognition in the Internet of Things , 2019, IEEE Access.
[26] Lorenz Kahl,et al. Comparison of algorithms to quantify muscle fatigue in upper limb muscles based on sEMG signals. , 2016, Medical engineering & physics.
[27] Honghai Liu,et al. Jointly network: a network based on CNN and RBM for gesture recognition , 2018, Neural Computing and Applications.
[28] Jatin P. Ambegaonkar,et al. Changing filtering parameters affects lower extremity pre-landing muscle activation onset times , 2010 .
[29] Yinfeng Fang,et al. Facilitate sEMG-Based Human-Machine Interaction Through Channel Optimization , 2019, Int. J. Humanoid Robotics.
[30] Zhizeng Luo,et al. Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors , 2017, Sensors.
[31] Matthew J. Kyan,et al. Visualization of Trunk Muscle Synergies During Sitting Perturbations Using Self-Organizing Maps (SOM) , 2012, IEEE Transactions on Biomedical Engineering.
[32] Bernard J. Martin,et al. Keyboard Reaction Force and Finger Flexor Electromyograms during Computer Keyboard Work , 1996, Hum. Factors.
[33] J. Batle,et al. Equilibrium and uniform charge distribution of a classical two-dimensional system of point charges with hard-wall confinement , 2017 .
[34] Bo Tao,et al. Gesture recognition based on skeletonization algorithm and CNN with ASL database , 2018, Multimedia Tools and Applications.
[35] M. Hepp-Reymond,et al. EMG activation patterns during force production in precision grip , 2004, Experimental Brain Research.
[36] Yinfeng Fang,et al. Surface electromyography feature extraction via convolutional neural network , 2020, Int. J. Mach. Learn. Cybern..
[37] Honghai Liu,et al. Gesture Recognition Based on Kinect and sEMG Signal Fusion , 2018, Mobile Networks and Applications.
[38] Gongfa Li,et al. Grip strength forecast and rehabilitative guidance based on adaptive neural fuzzy inference system using sEMG , 2019, Personal and Ubiquitous Computing.
[39] J. Batle,et al. Shareability of correlations in multiqubit states: Optimization of nonlocal monogamy inequalities , 2017 .
[40] Angela E. Kedgley,et al. The effects of wrist motion and hand orientation on muscle forces: A physiologic wrist simulator study , 2017, Journal of biomechanics.
[41] Youngjin Na,et al. Dynamic Elbow Flexion Force Estimation Through a Muscle Twitch Model and sEMG in a Fatigue Condition , 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[42] Davide Ballabio,et al. A MATLAB toolbox for Principal Component Analysis and unsupervised exploration of data structure , 2015 .
[43] Guohai Liu,et al. Novel hybrid soft computing pattern recognition system SVM–GAPSO for classification of eight different hand motions , 2015 .
[44] Ying Sun,et al. Towards the sEMG hand: internet of things sensors and haptic feedback application , 2018, Multimedia Tools and Applications.
[45] C. Kinnaird,et al. Medial Gastrocnemius Myoelectric Control of a Robotic Ankle Exoskeleton , 2009, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[46] Changmok Choi,et al. Real-time pinch force estimation by surface electromyography using an artificial neural network. , 2010, Medical engineering & physics.
[47] Sung Wook Baik,et al. Image steganography using uncorrelated color space and its application for security of visual contents in online social networks , 2016, Future Gener. Comput. Syst..
[48] Honghai Liu,et al. Ultrasound-Based Sensing Models for Finger Motion Classification , 2018, IEEE Journal of Biomedical and Health Informatics.
[49] Gongfa Li,et al. Decomposition algorithm for depth image of human health posture based on brain health , 2019, Neural Computing and Applications.
[50] Gongfa Li,et al. A novel feature extraction method for machine learning based on surface electromyography from healthy brain , 2019, Neural Computing and Applications.
[51] Jiang Hua,et al. An Optimized Selection Method of Channel Numbers and Electrode Layouts for Hand Motion Recognition , 2019, Int. J. Humanoid Robotics.
[52] Ahmed Farouk,et al. A scheme for secure quantum communication network with authentication using GHZ-like states and cluster states controlled teleportation , 2015, Quantum Information Processing.
[53] Ahmed Farouk,et al. A new secure quantum watermarking scheme , 2017 .
[54] Ahmed Farouk,et al. A generalized architecture of quantum secure direct communication for N disjointed users with authentication , 2015, Scientific Reports.
[55] Honghai Liu,et al. Research on gesture recognition of smart data fusion features in the IoT , 2019, Neural Computing and Applications.
[56] Gongfa Li,et al. Hand medical monitoring system based on machine learning and optimal EMG feature set , 2019, Personal and Ubiquitous Computing.
[57] Gongfa Li,et al. CNN-Based Facial Expression Recognition from Annotated RGB-D Images for Human-Robot Interaction , 2019, Int. J. Humanoid Robotics.
[58] Pornchai Phukpattaranont,et al. Feature reduction and selection for EMG signal classification , 2012, Expert Syst. Appl..
[59] Tanu Sharma,et al. A novel feature extraction for robust EMG pattern recognition , 2016, Journal of medical engineering & technology.
[60] Eduardo Gamaliel Hernández-Martínez,et al. Multi-robot formation control using distance and orientation , 2016, Adv. Robotics.
[61] Madasu Hanmandlu,et al. High dynamic range optimal fuzzy color image enhancement using Artificial Ant Colony System , 2012, Appl. Soft Comput..