Christopher L. Hunt
Orcid: 0000-0001-7647-1886
According to our database1,
Christopher L. Hunt
authored at least 14 papers
between 2016 and 2023.
Collaborative distances:
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Bibliography
2023
Functionally Adaptive Myosite Selection Using High-Density sEMG for Upper Limb Myoelectric Prostheses.
IEEE Trans. Biomed. Eng., October, 2023
Investigating the relationship between cue immersion and the strength of motor imagery during hand and wrist movements.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023
2022
Real-Time, Dynamic Sensory Feedback Using Neuromorphic Tactile Signals and Transcutaneous Electrical Nerve Stimulation.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022
2021
A scalable algorithm based on spike train distance to select stimulation patterns for sensory feedback.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
A Comparison between Virtual Reality and Augmented Reality on Upper-limb Prosthesis Control.
Proceedings of the ISEEIE 2021: International Symposium on Electrical, Electronics and Information Engineering, Seoul Republic of Korea, February 19, 2021
2019
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
2018
Limb Position Tolerant Pattern Recognition for Myoelectric Prosthesis Control with Adaptive Sparse Representations From Extreme Learning.
IEEE Trans. Biomed. Eng., 2018
Sci. Robotics, 2018
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018
Predictive trajectory estimation during rehabilitative tasks in augmented reality using inertial sensors.
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018
Live Demonstration: Augmented Reality Prosthesis Training with Real- Time Hand Trajectory Prediction and Neuromorphic Tactile Encoding.
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018
2016
Limb-position robust classification of myoelectric signals for prosthesis control using sparse representations.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016