2015年10月15日木曜日

Profile

CV

Affiliation
Researcher, Machine Learning Research Team, Artificial Intelligence Research Center, AIST, Tokyo, Japan

Research Interest
· Artifact reduction for bio-signal processing
· Motion encoding from surface EMG
· Prosthesis control and power assist
· Transfer learning to adapt observed data from wearable sensors to storage data
· Motion sequence learning through deep reinforcement learning architechture

Education
· Sep. 2014 - Sep. 2016 : Ph.D, Graduate School of Integrated Design Engineering, Keio University, Japan
-Dissertation title-
An Accurate Removal of Eyeblink Artifact from Single-channel Electroencephalogram by Supervised Tensor Factorization
[pdf]

Career
· Apr. 2017 - Mar. 2022: Research Scientist, Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST)[page]
· Feb. 2017 - Mar. 2017: Postdoctoral Scholar, Digital Human Research Group, National Institute of Advanced Industrial Science and Technology (AIST)
· Oct. 2016 - Jan. 2017: Postdoctoral Scholar, Keio University
· Oct. 2016 - Jan. 2017: Visiting Scholar, Digital Human Research Group, National Institute of Advanced Industrial Science and Technology (AIST)
· Oct. 2016 - Jan. 2017: Research Fellow, Japan Society of the Promotion of Science (PD)
· Apr. 2015 - Sep. 2016: Research Fellow, Japan Society of the Promotion of Science (DC1)

Publication

Journal Articles
  1. S. Kanoga, Y, Mitsukura, "A Study of Pattern Recognition in Children Using Single-Channel Electroencephalogram for Specialized Electroencephalographic Devices", Electron. Commun. Jpn, Vol.100, No.11, pp.43-53, 2017. (Reprinted) [pdf]
  2. S. Kanoga, Y, Mitsukura, "A Study of Pattern Recognition in Children Using Single-Channel Electroencephalogram for Specialized Electroencephalographic Devices", IEEJ Trans. Electron. Inform. Syst., Vol.136, No.8, pp.1047-1055, 2016. (in Japanese) [pdf]
  3. S. Kanoga, M. Nakanishi, and Y, Mitsukura, "Assessing the Effects of Voluntary and Involuntary Eyeblinks in Independent Components of Electroencephalogram", Neurocomputing, Vol.193, pp.20-32, 2016. [pdf] [dataset]
  4. S. Kanoga and Y, Mitsukura, "Proposing an Eye Blink Artifact Rejection Technique from Single-Channel EEG Signal Using Positive Semi-Definite Tensor Factorization", IEEJ Trans. Electron. Inform. Syst., Vol.135, No.7, pp.848-855, 2015. (in Japanese) [pdf]
  5. S. Kanoga and Y, Mitsukura, "Eye-Blink Artifact Reduction Using 2-Step Nonnegative Matrix Factorization for Single-Channel Electroencephalographic Signals", Journal of Signal Processing., Vol.18, No.5, pp.251-257, 2014. [pdf]
Book Chapters
  1. S. Kanoga, Y, Mitsukura, "Review of Artifact Rejection Methods for Electroencephalographic Systems", InTech, Electroencephalography, Chapter 6, 2017. [pdf]
International Conference Proceedings
  1. S. Kanoga, A. Kanemura, and H. Asoh, "A Comparative Study of Features and Classifiers in Single-channel EEG-based Motor Imagery BCI", IEEE Global Conference on Signal and Information Processing (Global SIP'18), pp. 474-478, CA, USA, 2018.11. [pdf][slide]
  2. T. Hoshino, S. Kanoga, A. Kanemura, and T. Ogawa, "A no-reference metric of cerebral blood flow extraction for fNIRS data", IEEE International Conference on Systems, Man, and Cybernetics (SMC'18), pp. 83-89, Miyazaki, Japan, 2018.10.
  3. T. Hoshino, S. Kanoga, A. Kanemura, and T. Ogawa, "Selecting Artifactual Independent Components from fNIRS Based on Decoding Analysis", 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'18), poster, Hawaii, USA, 2018.07.
  4. S. Kanoga, M. Nakanishi, A. Murai, M. Tada, and A. Kanemura, "Semi-simulation Experiments for Quantifying the Performance of SSVEP-based BCI after Reducing Artifacts from Trapezius Muscles", 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'18), pp. 4824-4827, Hawaii, USA, 2018.07. [pdf][slide]
  5. S. Kanoga, M. Matsuoka, and A. Kanemura, "Transfer Learning Over Time and Placementin Wearable Myoelectric Control Systems", 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'18), pp. 2643-2646, Hawaii, USA, 2018.07. [pdf][slide]
  6. T. Hoshino, S. Kanoga, A. Kanemura, and T. Ogawa, "Dictionary Learning of fNIRS Signals to Examine Scalp Blood Flow", Organization for Human Brain Mapping (OHBM'18), Poster ID: 1961, Suntec, Singapore, 2018.06.
  7. S. Kanoga and A. Kanemura, "Assessing the Effect of Transfer Learning on Myoelectric Control Systems with Three Electrode Positions", 19th IEEE International Conference of Industrial Technology (ICIT'18), pp.1478-1483, Lyon, France, 2018.02. [pdf][poster]
    ''Anticlockwise'' was defined when the person see his/her right hand from fingertip to shoulder; the word means the device positions outside from body compared with neutral position.
  8. S. Kanoga, A. Murai, and M. Tada, "Exploring Optimal Myoelectric Feature Indices for Forearm Control Strategy Using Robust Principal Component Analysis", 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'17), pp.1796-1799, Jeju Island, Korea, 2017.07. [pdf][slide]
  9. M. Endo, S. Kanoga, and Y. Mitsukura, "Visualization of Happiness Elicited Taking a Food Using Near Infra-red Spectroscopy", The 8th 2016 International Conference on Information Technology and Electrical Engineering (ICITEE'16), pp.380-383, Yogyakarta, Indonesia, 2016.10. [pdf]
  10. M. Endo, S. Kanoga, and Y. Mitsukura, "Visualization of Brain Functional Activities on the Feeling Happiness using Near Infrared Spectroscopy", International Workshop on Computer Vision and Signal Processing, Poster, Xi'an, China, 2016.04.
  11. S. Imai, S. Kanoga, and Y. Mitsukura, "Biological Analysis for Transportation Seat Angle", International Workshop on Computer Vision and Signal Processing, Poster, Xi'an, China, 2016.04.
  12. N. Toyoshima, S. Kanoga, and Y. Mitsukura, "Construction of Predictive Models for Bicycle Riding Comfort Evaluation using Electromyogram and Electroencephalogram", 2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA'16), pp.100-104, Melaka, Malaysia, 2016.03. [pdf]
  13. S. Kanoga and Y. Mitsukura, "Eye Blink Artifact Rejection in Single-Channel Electroencephalographic Signals by Complete Ensemble Empirical Mode Decomposition and Independent Component Analysis", 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'15), pp.121-124, Milano, Italy, 2015.08. [pdf]
  14. S. Kanoga and Y. Mitsukura, "ICA-Based Positive Semidefinite Matrix Templates for Eye-Blink Artifact Removal from EEG Signal with Single-Electrode", The 10th Asian Control Conference 2015 (ASCC'15), pp.1585-1590, Kota Kinabalu, Malaysia, 2015.05. [pdf]
  15. S. Kanoga and Y. Mitsukura, "Removal of Eye Blink Artifact from Single-Channel EEG Signal Using Positive Semi-Definite Tensor Factorization", The 1st IEEJ International Workshop on Sensing, Actuation, and Motion Control (SAMCON'15), pp.1-6, Nagoya, Japan, 2015.03. [pdf]
  16. S. Kanoga and Y. Mitsukura, "Classification of EEG Signals from Nursery School Children in an Immersion or not in the Feeling for Portable Applications", 2015 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'15), pp.555-558, Kuala Lumpur, Malaysia, 2015.03.
  17. S. Kanoga and Y. Mitsukura, "A Time-Domain Eye Blink Artifacts Rejection Technique for Single-Channel EEG Signals", 2014 International Symposium on Nonlinear Theory and its Applications (NOLTA'14), pp.124-127, Luzern, Switzerland, 2014.09.
  18. S. Kanoga and Y. Mitsukura, "An Eye Blinking Artifact Rejection Method Using Single-Channel Electroencephalographic Signals and 2 Step Non-Negative Matrix Factorization", 5th International Symposium on Advanced Control of Industrial Process (ADCONIP'14), pp.120-125, Hiroshima, Japan, 2014.05. [pdf]
  19. S. Kanoga and Y. Mitsukura, "Proposed Blink Artifacts Rejection Method Mixing with Electroencephalographic Recordings Using Single-Channel Electroencephalographic Recordings and Non-Negative Matrix Factorization", 2014 IEEE 13th International Workshop on Advanced Motion Control (AMC'14), pp.536-541, Kanagawa, Japan, 2014.03. [pdf]
  20. S. Kanoga and Y. Mitsukura, "GA-SVM for Pattern Recognition of Single-Channel Electroencephalographic Recordings from Nursery School Child under Resting and Feeling Interest States", 2014 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'14), pp.673-676, Hawaii, USA, 2014.03.
  21. A. Negishi, S. Kanoga, and Y. Mitsukura, "EEG Difference Extraction with Pure Tone Stimulation of Different Frequencies", 2014 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'14), pp.673-676, Hawaii, USA, 2014.03.
  22. S. Kanoga and Y. Mitsukura,"Construction of the Interest Prediction Models for Nursery School Child Using a Single-Channel Electroencephalograph", 2013 IEEE Conference on Systems, Process & Control (ICSPC'13), pp.129-134, Kuala Lumpur, Malaysia, 2013.12 (Best presenter). [pdf]
  23. S. Kanoga and Y. Mitsukura,"Analysis of Relationship between Intention and Behavior Using EEG-EMG Coherence during Isotonic Exercise", 2013 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'13), pp.604-607, Hawaii, USA, 2013.03.
Domestic Workshop Proceedings
  1. 叶賀卓,兼村厚範, "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", 電気学会C部門大会, pp.468-473, 香川, 2017.09. [pdf][slide] 注意:Fig.5(c)のinsideとoutsideの表記が逆になってます.
  2. 叶賀卓,満倉靖恵, "ウェアラブルデバイスを用いた筋電位ベース遠隔操作システム構築のための上肢動作識別", 日本機械学会 福祉工学シンポジウム2016, pp.168-171, 宮城, 2016.09.
  3. Shintaro Imai, Suguru Kanoga, Yasue Mitsukura, "Cross-Bispectrum Analysis of EEG in Seat Angles", 電気学会C部門大会, pp.1432-1433, 兵庫, 2016.08 (Outstanding student presentation award). [pdf]
  4. 叶賀卓, 豊島紀樹, 満倉靖恵, "複数の周波数解析手法を用いたこどもの興味推定モデルの比較", 第20回知能メカトロニクスワークショップ, pp.160-163, 東京, 2015.07.
  5. 叶賀卓, 満倉靖恵, "半正定値テンソル分解による瞬きアーチファクト除去手法の提案", 電気学会C部門大会, pp.936-941, 島根, 2014.09 (優秀論文発表賞). [pdf]
  6. 叶賀卓, 満倉靖恵, "単極脳波信号を用いたトランプゲーム中の子どもの喜怒哀楽予測モデル構築", 知覚情報研究会, pp.117-120, 神奈川, 2014.09. [pdf]
  7. 叶賀卓, 満倉靖恵, "ハイブリッド学習に基づいた非負値行列因子分解と単極脳波信号を用いた脳波に混入する瞬きアーチファクト除去手法の提案および応用", 知覚情報/次世代産業システム合同研究会, pp.63-68, 愛知, 2014.03. [pdf]
  8. 木村洋輔, 叶賀卓, 田村仁優, 片岡裕雄, 満倉靖恵, 青木義満, "表情及び姿勢変動に着目したTV視聴者の視聴状態推定", 動的画像処理実利用化ワークショップ2014 (DIA2014), pp.200-205, 熊本, 2014.03.
  9. 叶賀卓, 満倉靖恵, "単極脳波計を用いた保育園児の興味関心状態推定モデルの一考察", 第23回インテリジェント・システム・シンポジウム (FAN2013), pp.243-248, 福岡, 2013.09. [pdf]
  10. 叶賀卓, 満倉靖恵, "脳波と進化型PLS法を用いた保育園児の興味・関心解析", 電気学会C部門大会, pp.938-943, 北海道, 2013.09. [pdf]
  11. 叶賀卓, 満倉靖恵, "等張性運動時の脳波と筋電の干渉性を用いた意図と行為の関係解析", 知覚情報研究会, pp.1-6, 東京, 2013.04. [pdf]
  12. 叶賀卓, 藤大樹, 満倉靖恵, "生体信号による没頭度解析", 第55回自動制御連合講演会, pp.1265-1269, 京都, 2012.11. [pdf]
  13. 叶賀卓, 藤大樹, 満倉靖恵, "運動時の筋電と脳波の相関取得", 電気学会C部門大会, pp.1035-1039, 青森, 2012.09. [pdf]
Class
  1. "実信号処理 生体信号処理の観点から見る機械学習・転移学習(とその他研究紹介)", 慶應義塾大学,2018.11. [slide]
  2. "生体信号の計測・パターン認識・応用", 東京都立産業技術高等専門学校,2018.6.
Miscellaneous Works
  1. 叶賀卓, "ウェアラブル筋電センサを用いた前腕動作識別", デジタルヒューマン技術協議会 2016年度第6回協議会, 東京,2017.02.
  2. 叶賀卓, "実路走行中車両の評価に向けた脳波研究の紹介", ヒューマンロコモーション評価技術協議会 2016年度第5回協議会, 東京,2016.12.
  3. 叶賀卓, "車両シートおよび空調変動と脳波信号の関係解析", 感察工学研究会 2016年度第3回研究会, 神奈川,2016.12.
  4. 叶賀卓, "脳波信号の実環境下利用に対する信号分離アプローチ方法の検討", 画像応用技術専門委員会 2016年度第4回研究会, Vol.31, No.4, pp.15-20, 東京,2016.11.

Awards

  1. Outstanding research award for ph.D. course students, Graduate School of Integrated Design Engineering, Keio University (2017.03).
  2. Repayment exemption for students who have achieved an especially excellent record, Japan Student Services Organization (2015.03).
  3. Best presenter, IEEJ Industry Applications Society (2014.09).
  4. Best presenter, 2013 IEEE Conference on Systems, Process & Control (ICSPC2013) (2013.12).

Grants

  1. Apr. 2017 - Mar. 2019 : Grants-in-Aid for Research Activity Start-up, Japan Society for the Promotion of Science ($27,350)
  2. Apr. 2015 - Feb. 2017 : Grants-in-Aid for JSPS Fellows, Japan Society for the Promotion of Science ($23,000)

Committees

  1. 感察工学委員会
  2. コンピューテーショナル・インテリジェンス部会