Kanoga Suguru 叶賀卓

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KANOGA Suguru 叶賀卓

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Researcher Number	40803903
Other IDs	https://orcid.org/0000-0002-2214-3622
Affiliation (Current)	2025: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 主任研究員
Affiliation (based on the past Project Information) *help	2022 – 2024: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 主任研究員 2020 – 2021: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 研究員 2017 – 2018: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 研究員
Review Section/Research Field	Principal Investigator Basic Section 61020:Human interface and interaction-related / Sections That Are Subject to Joint Review: Basic Section61020:Human interface and interaction-related , Basic Section62040:Entertainment and game informatics-related / Basic Section 62040:Entertainment and game informatics-related / Human interface and interaction Except Principal Investigator Basic Section 61050:Intelligent robotics-related / Basic Section 45050:Physical anthropology-related
Keywords	Principal Investigator 転移学習 / ブレインコンピュータインタフェース / 継続学習 / 筋電 / 深層学習 / ヒューマンインタフェース / 筋電位 / 信号処理 / 機械学習 / ウェアラブルデバイス … More / アーチファクト除去 / 信号分離 / 単極信号 / 脳波 … More Except Principal Investigator 行動シミュレーション / データセット / IMU / 運動推定 / 足部モデル / 順動力学 / 歩行生成 / 深層強化学習 / 歩行シミュレーション Less

行動シミュレーションによる学習データ構築と少数IMUからの運動推定のための活用
- Principal Investigator
  
  多田充徳
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61050:Intelligent robotics-related
- Research Institution
  National Institute of Advanced Industrial Science and Technology
Development of an sEMG-based Human-Computer Interface Utilizing Deep Transfer Learning and Continual LearningPrincipal Investigator
- Principal Investigator
  
  叶賀卓
- Project Period (FY)
  2023 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61020:Human interface and interaction-related
  Basic Section 62040:Entertainment and game informatics-related
  Sections That Are Subject to Joint Review: Basic Section61020:Human interface and interaction-related , Basic Section62040:Entertainment and game informatics-related
- Research Institution
  National Institute of Advanced Industrial Science and Technology
Transfer learning technique for user-friendly human-computer interfacesPrincipal Investigator
- Principal Investigator
  
  Kanoga Suguru
- Project Period (FY)
  2020 – 2021
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61020:Human interface and interaction-related
- Research Institution
  National Institute of Advanced Industrial Science and Technology
Deep reinforcement learning for generation of bipedal locomotion based on anatomical neuromusculoskeletal models and its anthropological applications.
- Principal Investigator
  
  Ogihara Naomichi
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 45050:Physical anthropology-related
- Research Institution
  The University of Tokyo
Realization of Artifact-free Systems Using Single-channel EEG in Real EnvironmentPrincipal Investigator
- Principal Investigator
  
  KANOGA Suguru
- Project Period (FY)
  2017 – 2018
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Research Field
  
  Human interface and interaction
- Research Institution
  National Institute of Advanced Industrial Science and Technology

All 2022 2021 2020 2019 2018 2017

All Journal Article Presentation

[Journal Article] Subject-transfer framework with unlabeled data based on multiple distance measures for surface electromyogram pattern recognition2022
- Author(s)
  Kanoga Suguru、Hoshino Takayuki、Asoh Hideki
- Journal Title
  
  Biomedical Signal Processing and Control
  
  Volume: 74 Pages: 103522-103522
- DOI
  10.1016/j.bspc.2022.103522
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K19854
[Journal Article] Comparing subject-to-subject transfer learning methods in surface electromyogram-based motion recognition with shallow and deep classifiers2022
- Author(s)
  Hoshino Takayuki、Kanoga Suguru、Tsubaki Masashi、Aoyama Atsushi
- Journal Title
  
  Neurocomputing
  
  Volume: - Pages: 599-612
- DOI
  10.1016/j.neucom.2021.12.081
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K19854
[Journal Article] Semi-supervised style transfer mapping-based framework for sEMG-based pattern recognition with 1- or 2-DoF forearm motions2021
- Author(s)
  Kanoga Suguru、Hoshino Takayuki、Asoh Hideki
- Journal Title
  
  Biomedical Signal Processing and Control
  
  Volume: 68 Pages: 102817-102817
- DOI
  10.1016/j.bspc.2021.102817
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K19854
[Journal Article] Semi-Supervised Learning for Auditory Event-Related Potential-Based Brain-Computer Interface2021
- Author(s)
  Ogino Mikito、Kanoga Suguru、Ito Shin-Ichi、Mitsukura Yasue
- Journal Title
  
  IEEE Access
  
  Volume: 9 Pages: 47008-47023
- DOI
  10.1109/access.2021.3067337
- NAID
  120007153316
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K19854
[Journal Article] Are armband sEMG devices dense enough for long-term use? Sensor placement shifts cause significant reduction in recognition accuracy2020
- Author(s)
  Kanoga Suguru、Kanemura Atsunori、Asoh Hideki
- Journal Title
  
  Biomedical Signal Processing and Control
  
  Volume: 60 Pages: 101981-101981
- DOI
  10.1016/j.bspc.2020.101981
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K19854
[Journal Article] Multi-scale Dictionary Learning for Ocular Artifact Reduction from Single-channel Electroencephalograms2019
- Author(s)
  Suguru Kanoga, Atsunori Kanemura, Hideki Asoh
- Journal Title
  
  Neurocomputing
  
  Volume: undecided
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17H07389
[Presentation] 機械学習を用いた脳波・筋電信号の応用例紹介およびアーチファクト除去・転移学習によるロバスト性向上2022
- Author(s)
  叶賀卓
- Organizer
  日本生体工学会専門別研究会第32回実社会におけるマルチモーダル脳情報応用技術研究会
- Invited
- Data Source
  KAKENHI-PROJECT-20K19854
[Presentation] A Style Transfer Mapping and Fine-tuning Subject Transfer Framework Using Convolutional Neural Networks for Surface Electromyogram Pattern Recognition2022
- Author(s)
  Kanoga Suguru, Hoshino Takayuki, Tada Mitsunori
- Organizer
  2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'22)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19854
[Presentation] 生体信号時系列への機械学習技術の適用と日常的な技術適用での問題点・解決アプローチの紹介2021
- Author(s)
  叶賀卓
- Organizer
  第32回日本急性血液浄化学会学術集会
- Invited
- Data Source
  KAKENHI-PROJECT-20K19854
[Presentation] 深層強化学習によるヒト3次元筋骨格モデルの静止立位制御2021
- Author(s)
  土居明莉、山﨑皓之、叶賀卓、村井昭彦、荻原直道
- Organizer
  第75回日本人類学会大会
- Data Source
  KAKENHI-PROJECT-20H03331
[Presentation] Analysis and Usage: Subject-to-subject Linear Domain Adaptation in sEMG Classification2020
- Author(s)
  Takayuki Hoshino、Suguru Kanoga、Masashi Tsubaki、Atsushi Aoyama
- Organizer
  2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19854
[Presentation] Subject Transfer Framework Based on Source Selection and Semi-Supervised Style Transfer Mapping for sEMG Pattern Recognition2020
- Author(s)
  Suguru Kanoga、Takayuki Hoshino、Hideki Asoh
- Organizer
  ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19854
[Presentation] Semi-simulation Experiments for Quantifying the Performance of SSVEP-based BCI after Reducing Artifacts from Trapezius Muscles2018
- Author(s)
  Suguru Kanoga, Masaki Nakanishi, Akihiko Murai, and Mitsunori Tada
- Organizer
  40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'18)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H07389
[Presentation] Transfer Learning Over Time and Placementin Wearable Myoelectric Control Systems2018
- Author(s)
  Suguru Kanoga, Masashi Matsuoka, Atsunori Kanemura
- Organizer
  40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'18)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H07389
[Presentation] Assessing the Effect of Transfer Learning on Myoelectric Control Systems with Three Electrode Positions2018
- Author(s)
  Suguru Kanoga and Atsunori Kanemura
- Organizer
  19th IEEE International Conference of Industrial Technology (ICIT'18)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H07389
[Presentation] A Comparative Study of Features and Classifiers in Single-channel EEG-based Motor Imagery BCI2018
- Author(s)
  Suguru Kanoga, Atsunori Kanemura, Hideki Asoh
- Organizer
  IEEE Global Conference on Signal and Information Processing (Global SIP'18)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H07389
[Presentation] Semi-simulation Experiments for Quantifying the Performance of SSVEP-based BCI after Reducing Artifacts from Trapezius Muscles2018
- Author(s)
  Suguru Kanoga, Masaki Nakanishi, Akihiko Murai, Mitsunori Tada, and Atsunori Kanemura
- Organizer
  40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'18)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H07389
[Presentation] Transfer Learning Over Time and Placementin Wearable Myoelectric Control Systems2018
- Author(s)
  Suguru Kanoga, Masashi Matsuoka, and Atsunori Kanemura
- Organizer
  40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'18)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H07389
[Presentation] Exploring Optimal Myoelectric Feature Indices for Forearm Control Strategy Using Robust Principal Component Analysis2017
- Author(s)
  Suguru Kanoga, Akihiko Murai, and Mitsunori Tada
- Organizer
  39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'18)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H07389
[Presentation] 転移学習による筋電位ベース動作識別モデルの適応力向上2017
- Author(s)
  叶賀卓，兼村厚範
- Organizer
  電気学会C部門大会
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H07389

1. Ogihara Naomichi (70324605)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
2. 伊藤幸太 (20816540)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 村井昭彦 (90637274)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
4. 多田充徳 (70392628)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 丸山翼 (50817161)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. 唐木田亮 (30803902)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

Kanoga Suguru 叶賀 卓

KANOGA Suguru 叶賀 卓

Research Projects

Research Products

Co-Researchers

行動シミュレーションによる学習データ構築と少数IMUからの運動推定のための活用

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of an sEMG-based Human-Computer Interface Utilizing Deep Transfer Learning and Continual LearningPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Transfer learning technique for user-friendly human-computer interfacesPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Deep reinforcement learning for generation of bipedal locomotion based on anatomical neuromusculoskeletal models and its anthropological applications.

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Realization of Artifact-free Systems Using Single-channel EEG in Real EnvironmentPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Subject-transfer framework with unlabeled data based on multiple distance measures for surface electromyogram pattern recognition2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Comparing subject-to-subject transfer learning methods in surface electromyogram-based motion recognition with shallow and deep classifiers2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Semi-supervised style transfer mapping-based framework for sEMG-based pattern recognition with 1- or 2-DoF forearm motions2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Semi-Supervised Learning for Auditory Event-Related Potential-Based Brain-Computer Interface2021

Author(s)

Journal Title

DOI

NAID

Data Source

[Journal Article] Are armband sEMG devices dense enough for long-term use? Sensor placement shifts cause significant reduction in recognition accuracy2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Multi-scale Dictionary Learning for Ocular Artifact Reduction from Single-channel Electroencephalograms2019

Author(s)

Journal Title

Data Source

[Presentation] 機械学習を用いた脳波・筋電信号の応用例紹介およびアーチファクト除去・転移学習によるロバスト性向上2022

Author(s)

Organizer

Data Source

[Presentation] A Style Transfer Mapping and Fine-tuning Subject Transfer Framework Using Convolutional Neural Networks for Surface Electromyogram Pattern Recognition2022

Author(s)

Organizer

Data Source

[Presentation] 生体信号時系列への機械学習技術の適用と日常的な技術適用での問題点・解決アプローチの紹介2021

Author(s)

Organizer

Data Source

[Presentation] 深層強化学習によるヒト3次元筋骨格モデルの静止立位制御2021

Author(s)

Organizer

Kanoga Suguru 叶賀卓

KANOGA Suguru 叶賀卓