Angkoon Phinyomark
Orcid: 0000-0003-0170-3245
According to our database1,
Angkoon Phinyomark
authored at least 41 papers
between 2009 and 2023.
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Bibliography
2023
Underfoot Pressure-Based Left and Right Foot Classification Algorithms: The Impact of Footwear.
IEEE Access, 2023
IEEE Access, 2023
Proceedings of the IEEE Sensors Applications Symposium, 2023
Proceedings of the IEEE Sensors Applications Symposium, 2023
Sample Size in Floor Sensor-Based Gait Recognition for Smart Home and Access Control Scenarios.
Proceedings of the IEEE Sensors Applications Symposium, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Electromyography-Based Gesture Recognition: Is It Time to Change Focus From the Forearm to the Wrist?
IEEE Trans. Ind. Informatics, 2022
IEEE Access, 2022
Information Leakage in Performance Evaluation of Pressure-Based Gait Biometric Recognition Systems.
Proceedings of the IEEE International Joint Conference on Biometrics, 2022
2021
A long short-term recurrent spatial-temporal fusion for myoelectric pattern recognition.
Expert Syst. Appl., 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Recursive Multi-Signal Temporal Fusions With Attention Mechanism Improves EMG Feature Extraction.
IEEE Trans. Artif. Intell., 2020
Current Trends and Confounding Factors in Myoelectric Control: Limb Position and Contraction Intensity.
Sensors, 2020
A Comparison of Amputee and Able-Bodied Inter-Subject Variability in Myoelectric Control.
CoRR, 2020
Differences in Perspective on Inertial Measurement Unit Sensor Integration in Myoelectric Control.
CoRR, 2020
Unsupervised Domain Adversarial Self-Calibration for Electromyography-Based Gesture Recognition.
IEEE Access, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Wearable EMG-Based Gesture Recognition Systems During Activities of Daily Living: An Exploratory Study.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Topology highlights mesoscopic functional equivalence between imagery and perception: The case of hypnotizability.
NeuroImage, 2019
Unsupervised Domain Adversarial Self-Calibration for Electromyographic-based Gesture Recognition.
CoRR, 2019
Virtual Reality to Study the Gap Between Offline and Real-Time EMG-based Gesture Recognition.
CoRR, 2019
Interpreting Deep Learning Features for Myoelectric Control: A Comparison with Handcrafted Features.
CoRR, 2019
Differences in EMG Feature Space between Able-Bodied and Amputee Subjects for Myoelectric Control.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019
2018
Feature Extraction and Selection for Myoelectric Control Based on Wearable EMG Sensors.
Sensors, 2018
Big Data Cogn. Comput., 2018
Proceedings of the 2018 IEEE Sensors Applications Symposium, 2018
An Investigation of Temporally Inspired Time Domain Features for Electromyographic Pattern Recognition.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Resting-State fMRI Functional Connectivity: Big Data Preprocessing Pipelines and Topological Data Analysis.
IEEE Trans. Big Data, 2017
2016
Probability Density Functions of Stationary Surface EMG Signals in Noisy Environments.
IEEE Trans. Instrum. Meas., 2016
2014
Feature extraction of the first difference of EMG time series for EMG pattern recognition.
Comput. Methods Programs Biomed., 2014
2013
Expert Syst. Appl., 2013
A feasibility study on the use of anthropometric variables to make muscle-computer interface more practical.
Eng. Appl. Artif. Intell., 2013
2012
Expert Syst. Appl., 2012
Expert Syst. Appl., 2012
2011
Fractal Analysis of Surface Electromyography (EMG) Signal for Identify Hand Movements Using Critical Exponent Analysis.
Proceedings of the Software Engineering and Computer Systems, 2011
Proceedings of the Software Engineering and Computer Systems, 2011
2009