Suguru Kanoga
Orcid: 0000-0002-2214-3622
According to our database1,
Suguru Kanoga
authored at least 27 papers
between 2014 and 2023.
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Bibliography
2023
Comparison of seven shallow and deep regressors in continuous blood pressure and heart rate estimation using single-channel photoplethysmograms under three evaluation cases.
Biomed. Signal Process. Control., August, 2023
Estimating Whole-Body Walking Motion from Inertial Measurement Units at Wrist and Heels Using Deep Learning.
Int. J. Autom. Technol., May, 2023
The Effect of Muscle Artifact Reduction Methods on Few-channel SSVEPs during Head Movements.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Comparing subject-to-subject transfer learning methods in surface electromyogram-based motion recognition with shallow and deep classifiers.
Neurocomputing, 2022
Subject-transfer framework with unlabeled data based on multiple distance measures for surface electromyogram pattern recognition.
Biomed. Signal Process. Control., 2022
A Style Transfer Mapping and Fine-Tuning Subject Transfer Framework Using Convolutional Neural Networks for Surface Electromyogram Pattern Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022
Sequential Learning on sEMGs in Short- and Long-term Situations via Self-training Semi-supervised Support Vector Machine.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Semi-supervised style transfer mapping-based framework for sEMG-based pattern recognition with 1- or 2-DoF forearm motions.
Biomed. Signal Process. Control., 2021
Semi-Supervised Learning for Auditory Event-Related Potential-Based Brain-Computer Interface.
IEEE Access, 2021
Time-domain Mixup Source Data Augmentation of sEMGs for Motion Recognition towards Efficient Style Transfer Mapping.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Are armband sEMG devices dense enough for long-term use? - Sensor placement shifts cause significant reduction in recognition accuracy.
Biomed. Signal Process. Control., 2020
Subject Transfer Framework Based on Source Selection and Semi-Supervised Style Transfer Mapping for Semg Pattern Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Analysis and Usage: Subject-to-subject Linear Domain Adaptation in sEMG Classification.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Deep Neural Networks for Grid-Based Elusive Crime Prediction Using a Private Dataset Obtained from Japanese Municipalities.
Proceedings of the Advances in Artificial Intelligence, Software and Systems Engineering, 2020
2019
Corrigendum to "Multi-scale dictionary learning for ocular artifact reduction from single-channel electroencephalograms" [Neurocomputing 347 (2019) 240-250].
Neurocomputing, 2019
Multi-scale dictionary learning for ocular artifact reduction from single-channel electroencephalograms.
Neurocomputing, 2019
2018
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Assessing the effect of transfer learning on myoelectric control systems with three electrode positions.
Proceedings of the IEEE International Conference on Industrial Technology, 2018
A Comparative Study of Features and Classifiers in Single-Channel EEG-Based Motor Imagery BCI.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
Semi-simulation Experiments for Quantifying the Performance of SSVEP-based BCI after Reducing Artifacts from Trapezius Muscles.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Exploring optimal myoelectric feature indices for forearm control strategy using robust principal component analysis.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
Assessing the effects of voluntary and involuntary eyeblinks in independent components of electroencephalogram.
Neurocomputing, 2016
2015
Eye blink artifact rejection in single-channel electroencephalographic signals by complete ensemble empirical mode decomposition and independent component analysis.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
ICA-based positive semidefinite matrix templates for eye-blink artifact removal from EEG signal with single-electrode.
Proceedings of the 10th Asian Control Conference, 2015
2014
Proposed blink artifacts rejection method mixing with electroencephalographic recordings using single-channel electroencephalographic recordings and non-negative matrix factorization.
Proceedings of the IEEE 13th International Workshop on Advanced Motion Control, 2014