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Kanoga Suguru  叶賀 卓

… Alternative Names

KANOGA Suguru  叶賀 卓

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Researcher Number 40803903
Other IDs
  • ORCIDhttps://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
  • Research Projects

    (5 results)
  • Research Products

    (20 results)
  • Co-Researchers

    (6 People)
  •  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

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