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Suguru Kanoga

Showing results (1-10 of 16) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
The Effect of Muscle Artifact Reduction Methods on Few-channel SSVEPs during Head MovementsNorihisa Namura, Suguru Kanoga
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Eye blink artifact rejection in single-channel electroencephalographic signals by complete ensemble empirical mode decomposition and independent component analysisSuguru Kanoga, Yasue Mitsukura
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Transfer Learning Over Time and Position in Wearable Myoelectric Control SystemsSuguru Kanoga, Masashi Matsuoka, Atsunori Kanemura
Frontiers in Human Neuroscience|June 26, 2020
Independent Low-Rank Matrix Analysis-Based Automatic Artifact Reduction Technique Applied to Three BCI ParadigmsSuguru Kanoga, Takayuki Hoshino, Hideki Asoh
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Exploring optimal myoelectric feature indices for forearm control strategy using robust principal component analysisSuguru Kanoga, Akihiko Murai, Mitsunori Tada
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Channel- and Label-Flip Data Augmentation for Motor Imagery-Based Brain-Computer InterfacesTakayuki Hoshino, Suguru Kanoga, Atsushi Aoyama
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Time-domain Mixup Source Data Augmentation of sEMGs for Motion Recognition towards Efficient Style Transfer MappingSuguru Kanoga, Tomoumi Takase, Takayuki Hoshino, et al.
Frontiers in Human Neuroscience|August 13, 2019
Analysis of Prefrontal Single-Channel EEG Data for Portable Auditory ERP-Based Brain-Computer InterfacesMikito Ogino, Suguru Kanoga, Masatane Muto, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Analysis and Usage: Subject-to-subject Linear Domain Adaptation in sEMG ClassificationTakayuki Hoshino, Suguru Kanoga, Masashi Tsubaki, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Sequential Learning on sEMGs in Short- and Long-term Situations via Self-training Semi-supervised Support Vector MachineYuto Okawa, Suguru Kanoga, Takayuki Hoshino, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
The Effect of Muscle Artifact Reduction Methods on Few-channel SSVEPs during Head MovementsNorihisa Namura, Suguru Kanoga
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Eye blink artifact rejection in single-channel electroencephalographic signals by complete ensemble empirical mode decomposition and independent component analysisSuguru Kanoga, Yasue Mitsukura
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Transfer Learning Over Time and Position in Wearable Myoelectric Control SystemsSuguru Kanoga, Masashi Matsuoka, Atsunori Kanemura
Frontiers in Human Neuroscience|June 26, 2020
Independent Low-Rank Matrix Analysis-Based Automatic Artifact Reduction Technique Applied to Three BCI ParadigmsSuguru Kanoga, Takayuki Hoshino, Hideki Asoh
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Exploring optimal myoelectric feature indices for forearm control strategy using robust principal component analysisSuguru Kanoga, Akihiko Murai, Mitsunori Tada
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Channel- and Label-Flip Data Augmentation for Motor Imagery-Based Brain-Computer InterfacesTakayuki Hoshino, Suguru Kanoga, Atsushi Aoyama
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Time-domain Mixup Source Data Augmentation of sEMGs for Motion Recognition towards Efficient Style Transfer MappingSuguru Kanoga, Tomoumi Takase, Takayuki Hoshino, et al.
Frontiers in Human Neuroscience|August 13, 2019
Analysis of Prefrontal Single-Channel EEG Data for Portable Auditory ERP-Based Brain-Computer InterfacesMikito Ogino, Suguru Kanoga, Masatane Muto, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Analysis and Usage: Subject-to-subject Linear Domain Adaptation in sEMG ClassificationTakayuki Hoshino, Suguru Kanoga, Masashi Tsubaki, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Sequential Learning on sEMGs in Short- and Long-term Situations via Self-training Semi-supervised Support Vector MachineYuto Okawa, Suguru Kanoga, Takayuki Hoshino, et al.
Pageof 2