Fang Yinfeng
Fang Yinfeng
School of Communication Engineering, Hangzhou Dianzi University
Verified email at - Homepage
Cited by
Cited by
Multi-modal sensing techniques for interfacing hand prostheses: A review
Y Fang, N Hettiarachchi, D Zhou, H Liu
IEEE Sensors Journal 15 (11), 6065-6076, 2015
How to build a supervised autonomous system for robot-enhanced therapy for children with autism spectrum disorder
PG Esteban, P Baxter, T Belpaeme, E Billing, H Cai, HL Cao, ...
Paladyn, Journal of Behavioral Robotics 8 (1), 18-38, 2017
A multichannel surface EMG system for hand motion recognition
Y Fang, H Liu, G Li, X Zhu
International Journal of Humanoid Robotics 12 (02), 1550011, 2015
Non-invasive stimulation-based tactile sensation for upper-extremity prosthesis: a review
K Li, Y Fang, Y Zhou, H Liu
IEEE Sensors Journal 17 (9), 2625-2635, 2017
Interface prostheses with classifier-feedback-based user training
Y Fang, D Zhou, K Li, H Liu
IEEE transactions on biomedical engineering 64 (11), 2575-2583, 2016
Surface electromyography feature extraction via convolutional neural network
H Chen, Y Zhang, G Li, Y Fang, H Liu
International Journal of Machine Learning and Cybernetics 11 (1), 185-196, 2020
sEMG bias-driven functional electrical stimulation system for upper-limb stroke rehabilitation
Y Zhou, Y Fang, K Gui, K Li, D Zhang, H Liu
IEEE Sensors Journal 18 (16), 6812-6821, 2018
Optimal grasp planning of multi-fingered robotic hands: a review
W Miao, G Li, G Jiang, Y Fang, Z Ju, H Liu
Applied and Computational Mathematics: An International Journal 14 (3), 238-247, 2015
Simultaneous prediction of wrist/hand motion via wearable ultrasound sensing
X Yang, J Yan, Y Fang, D Zhou, H Liu
IEEE Transactions on Neural Systems and Rehabilitation Engineering 28 (4 …, 2020
Multi-feature input deep forest for EEG-based emotion recognition
Y Fang, H Yang, X Zhang, H Liu, B Tao
Frontiers in neurorobotics 14, 617531, 2021
Exploring the relation between EMG sampling frequency and hand motion recognition accuracy
HF Chen, Y Zhang, Z Zhang, Y Fang, H Liu, C Yao
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017
Attribute-driven granular model for EMG-based pinch and fingertip force grand recognition
Y Fang, D Zhou, K Li, Z Ju, H Liu
IEEE transactions on cybernetics 51 (2), 789-800, 2021
Intelligent control model and its simulation of flue temperature in coke oven
G Li, W Miao, G Jiang, Y Fang, Z Ju, H Liu
Discrete and continuous dynamical systems-series s 8 (6), 1223-1237, 2015
Development of a surface emg acquisition system with novel electrodes configuration and signal representation
Y Fang, X Zhu, H Liu
Intelligent Robotics and Applications: 6th International Conference, ICIRA …, 2013
Sensing-enhanced therapy system for assessing children with autism spectrum disorders: A feasibility study
H Cai, Y Fang, Z Ju, C Costescu, D David, E Billing, T Ziemke, S Thill, ...
IEEE Sensors Journal 19 (4), 1508-1518, 2018
A hybrid cnn-svm classifier for hand gesture recognition with surface emg signals
H Chen, R Tong, M Chen, Y Fang, H Liu
2018 international conference on machine learning and cybernetics (ICMLC) 2 …, 2018
Robust sEMG electrodes configuration for pattern recognition based prosthesis control
Y Fang, H Liu
2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2014
Improve inter-day hand gesture recognition via convolutional neural network-based feature fusion
Y Fang, X Zhang, D Zhou, H Liu
International Journal of Humanoid Robotics 18 (02), 2050025, 2021
Bacterial memetic algorithm based feature selection for surface EMG based hand motion recognition in long-term use
D Zhou, Y Fang, J Botzheim, N Kubota, H Liu
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2016
EEG-and EMG-driven poststroke rehabilitation: a review
H Yang, J Wan, Y Jin, X Yu, Y Fang
IEEE Sensors Journal 22 (24), 23649-23660, 2022
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