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Limb Position Tolerant Pattern Recognition for Myoelectric Prosthesis Control with Adaptive Sparse Representations From Extreme Learning.

, , , , , , and . IEEE Trans. Biomed. Eng., 65 (4): 770-778 (2018)

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A Comparison between Virtual Reality and Augmented Reality on Upper-limb Prosthesis Control., , , , , , , , and . ISEEIE, page 521-528. ACM, (2021)Limb-position robust classification of myoelectric signals for prosthesis control using sparse representations., , , , and . EMBC, page 6373-6376. IEEE, (2016)Functionally Adaptive Myosite Selection Using High-Density sEMG for Upper Limb Myoelectric Prostheses., , , , , , and . IEEE Trans. Biomed. Eng., 70 (10): 2980-2990 (October 2023)Augmented Reality Prosthesis Training Setup for Motor Skill Enhancement., , , , , and . CoRR, (2019)Neuromorphic vision and tactile fusion for upper limb prosthesis control., , , , , and . NER, page 981-984. IEEE, (2019)A scalable algorithm based on spike train distance to select stimulation patterns for sensory feedback., , , , and . NER, page 297-300. IEEE, (2021)Investigating the relationship between cue immersion and the strength of motor imagery during hand and wrist movements., , , , , , , and . NER, page 1-4. IEEE, (2023)Live Demonstration: Augmented Reality Prosthesis Training with Real- Time Hand Trajectory Prediction and Neuromorphic Tactile Encoding., , , and . BioCAS, page 1. IEEE, (2018)Dynamic Texture Decoding Using a Neuromorphic Multilayer Tactile Sensor., , , , , , and . BioCAS, page 1-4. IEEE, (2018)Predictive trajectory estimation during rehabilitative tasks in augmented reality using inertial sensors., , , , and . BioCAS, page 1-4. IEEE, (2018)