Haoshi Zhang
Orcid: 0000-0003-2771-4436
According to our database1,
Haoshi Zhang
authored at least 22 papers
between 2011 and 2024.
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Bibliography
2024
High-Quality Auditory Brainstem Response Acquisition in Motion via Adaptive Kalman Filtering.
IEEE Trans. Cogn. Dev. Syst., June, 2024
A Multidataset Characterization of Window-Based Hyperparameters for Deep CNN-Driven sEMG Pattern Recognition.
IEEE Trans. Hum. Mach. Syst., February, 2024
2023
Exploration and Application Based on Authentication, Authorization, Accounting in Home Broadband Scenario.
Proceedings of the Green, Pervasive, and Cloud Computing - 18th International Conference, 2023
Trace Finger Kinematics from Surface Electromyography by Using Kalman Decoding Method.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2023
The Effects of Adaptive Kalman Filtering on the Morphology of Auditory Brainstem Response in Real Active Behavior: A Pilot Study.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2023
An intelligent prosthetic system for EMG pattern recognition based prosthesis control<sup>*</sup>.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2023
2022
A Robust Extraction Approach of Auditory Brainstem Response Using Adaptive Kalman Filtering Method.
IEEE Trans. Biomed. Eng., 2022
2021
The effects of different training modes on the performance of silent speech recognition based on high-density sEMG.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021
2020
Time-frequency Analysis of Electroencephalogram Signals in a Cognitive Decision-making Task.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
The Effects of Channel Number on Classification Performance for sEMG-based Speech Recognition.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Comparison of English and Chinese Speech Recognition Using High-Density Electromyography.
Proceedings of the 13th International Conference on Sensing Technology, 2019
Contraction Patterns of Facial and Neck Muscles in Speaking Tasks Using High-Density Electromyography.
Proceedings of the 13th International Conference on Sensing Technology, 2019
2018
Pattern recognition of electromyography signals based on novel time domain features for amputees' limb motion classification.
Comput. Electr. Eng., 2018
2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Electromyogram-based method to secure wireless body sensor networks for rehabilitation systems.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Using spatial features for classification of combined motions based on common spatial pattern.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2015
Piezoelectrets and their applications as wearable physiological-signal sensors and energy harvesters.
Proceedings of the 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2015
2014
Effects of non-training movements on the performance of motion classification in electromyography pattern recognition.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Using textile electrode EMG for prosthetic movement identification in transradial amputees.
Proceedings of the 2013 IEEE International Conference on Body Sensor Networks, 2013
2012
Real-time performance of textile electrodes in electromyogram pattern-recognition based prosthesis control.
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012
2011
Adaboost with SVM-Based Classifier for the Classification of Brain Motor Imagery Tasks.
Proceedings of the Universal Access in Human-Computer Interaction. Users Diversity, 2011