Kanoga Suguru

カノウガスグル | Kanoga Suguru

Affiliation and department：
Job title： Senior Researcher
Homepage URL (1)： https://sites.google.com/view/u4ag2knosr1/profile

Research field (2)： Human interfaces and interactions , Biomedical engineering

Research keywords (5)： Machine learning , Human--machine interface , Transfer learning , Signal separation , Continual learning

Research theme for competitive and other funds (5)：

2023 - 2027 Development of an sEMG-based Human-Computer Interface Utilizing Deep Transfer Learning and Continual Learning
2020 - 2023 解剖学的神経筋骨格モデルに基づく二足歩行生成の深層強化学習とその人類学応用
2020 - 2022 Transfer learning technique for user-friendly human-computer interfaces
2017 - 2019 実環境下での単極脳波信号を入力としたアーチファクトフリーシステムの実現
2015 - 2018 実環境下における単極脳波解析のための瞬きアーチファクト除去手法の提案及び応用

Papers (35)：

Takayuki Hoshino, Suguru Kanoga, Masashi Tsubaki, Atsushi Aoyama. Comparison of fine-tuned single-source and multi-source approaches to surface electromyogram pattern recognition. Biomedical Signal Processing and Control. 2024
Suguru Kanoga, Takayuki Hoshino, Satoshi Kamei, Takehito Kobayashi, Tsuguo Ohmori, Masaaki Uchiyama, Mitsunori Tada. Comparison of seven shallow and deep regressors in continuous blood pressure and heart rate estimation using single-channel photoplethysmograms under three evaluation cases. Biomedical Signal Processing and Control. 2023
Yuji Kumano, Suguru Kanoga, Masataka Yamamoto, Hiroshi Takemura, Mitsunori Tada. Estimating Whole-Body Walking Motion from Inertial Measurement Units at Wrist and Heels Using Deep Learning. International Journal of Automation Technology. 2023. 17. 3. 217-225
Takayuki Hoshino, Suguru Kanoga, Masashi Tsubaki, Atsushi Aoyama. Comparing subject-to-subject transfer learning methods in surface electromyogram-based motion recognition with shallow and deep classifiers. Neurocomputing. 2022. 489. 599-612
Suguru Kanoga, Takayuki Hoshino, Mitsunori Tada. A Style Transfer Mapping and Fine-Tuning Subject Transfer Framework Using Convolutional Neural Networks for Surface Electromyogram Pattern Recognition. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2022

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MISC (5)：

Professional career (1)：

Work history (8)：

2022/04 - 現在 National Institute of Advanced Industrial Science and Technology Artifitial Intelligence Research Center Senior Researcher
2021/04 - 現在 RIKEN Intellegent Behavior Control Unit Visiting Researcher
2017/04 - 2022/03 National Institute of Advanced Industrial Science and Technology Artificial Intelligence Research Center Research Scientist
2017/02 - 2017/03 National Institute of Advanced Industrial Science and Technology Digital Human Research Group Postdoctoral Scholar
2016/10 - 2017/01 National Institute of Advanced Industrial Science and Technology Digital Human Research Group Visiting Scholar

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Awards (4)：

2017/03 - Keio University Outstanding research award for ph.D. course students
2015/03 - Japan Student Services Organization (JASSO) Repayment exemption for students who have achieved an especially excellent record
2014/09 - The Institute of Electrical Engineers of Japan Best presenter
2013/12 - 2013 IEEE Conference on Systems, Process & Control (ICSPC2013) Best presenter

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