Rchr
J-GLOBAL ID:201801000673618306   Update date: Jul. 16, 2024

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 (37):
  • 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
more...
MISC (5):
Professional career (1):
  • 博士(工学) (慶應義塾大学)
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
Show all
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
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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