• Journal Articles

  1. S. Kanoga, T. Hoshino, S. Kamei, T. Kobayashi, T. Ohmori, M. Uchiyama, M. 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  (IF: 5.076), vol.85, 2023.08, [pdf] [dataset] [spreadsheet] (Sorry we changed the links of dataset and spreadsheet).

  2. Y. Kumano, S. Kanoga, M. Yamamoto, H. Takemura, M. Tada, "Estimating Whole-body Walking Motion from Inertial Measurement Units at Wrist and Heels Using Deep Learning," International Journal of Automation Technology (IF: 0.28), vol.17, no.3, pp.217-225, 2023.05, [pdf].

• International Conferences

  1. Y. Takanobu, Y. Kumano,  S. Kanoga, M. Yamamoto, H. Takemura, M. Tada, "Deep Learning-based Vertical Ground Reaction Forcec Estimation during Walking," International Society of Biomechanics (ISB'23), 2023.08, [pdf], [slide].

  2. Y. Kumano, S. Kanoga, G. Hisano, M. Yamamoto, H. Hobara, H. Takemura, M. Tada, "Estimation of Whole-body Posture during Walking in Unilateral Transfemoral Amputees Using Sparse Inertial Measurement Units and Deep Learning," International Society of Biomechanics (ISB'23), 2023.08, [pdf], [slide].

  3. N. Namura, S. Kanoga, "The Effect of Muscle Artifact Reduction Methods on Few-channel SSVEPs during Head Movements," 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'23), 2023.07, [pdf], [slide].

  4. M. Kimura, F. Sugimoto, N. Namura, S. Kanoga, Y. Takeda, "Effects of artifact-reduction methods on the required EEG data length for evaluating mental workload with an auditory probe ERP technique," The International Organization of Psychophysiology (IOP'23), vol. 188, pp. 107-108, 2023.06, [poster].

• Domestic Workshops

  1. 戸田 晴貴, 熊野 勇治, 叶賀 卓, 多田 充徳 , "骨盤に貼付した慣性計測装置を用いた歩行中の関節角度推定," 第28回 日本基礎理学療法学会学術大会, ポスター, 広島, 2023.12, [poster].

  2. 叶賀 卓, 熊野 勇治, 堀 涼介, 多田 充徳, "ウェアラブルデバイスで計測可能な少数IMUセットによる深層学習ベース全身姿勢推定 ," デジタルヒューマン・シンポジウム 2023, オーラル, 東京, 2023.07, [slide].

  3. 叶賀 卓, 亀井 智史, 多田 充徳, "血圧推定および状態認識深層学習モデルに基づくマルチモーダル常時モニタリングシステムの開発," デジタルヒューマン・シンポジウム 2023, ポスター, 東京, 2023.07, [poster].

  4. 名村 憲尚, 叶賀 卓 , "頭部運動時の少数チャネルSSVEPに対する筋アーチファクト低減法の効果," デジタルヒューマン・シンポジウム 2023, ポスター, 東京, 2023.07, [poster].

  5. 高延 悠太, 熊野 勇治, 叶賀 卓, 山本 征孝, 竹村 裕, 多田 充徳 , "深層学習を用いた左手首・両踵のIMUによる歩行動作時の床反力推定," デジタルヒューマン・シンポジウム 2023, ポスター, 東京, 2023.07, [poster].

  6. 熊野 勇治, 叶賀 卓, 山本 征孝, 竹村 裕, 多田 充徳 , "深層学習を用いた少数IMUによる簡便な歩行姿勢計測システムの開発," デジタルヒューマン・シンポジウム 2023, ポスター, 東京, 2023.07, [poster].

  7. 高延 悠太, 熊野 勇治, 叶賀 卓, 山本 征孝, 竹村 裕, 多田 充徳 , "深層学習を用いた左手首と両踵のIMUからの歩行動作時の垂直方向の床反力推定," ロボティクス・メカトロニクス, ポスター, 愛知, 2023.06, [poster].

  8. 叶賀 卓, 熊野 勇治, 多田 充徳, "場所を問わない歩行時全身姿勢推定に向けた少数IMUベース深層学習モデル開発," 第13回日本腎臓リハビリテーション学会学術集会, 招待講演, 埼玉, 2023.03, [slide], [video].

  9. 小林 威仁, 青柳 龍太郎, 多田 充徳, 叶賀 卓, 時田 一, 堀内 優, 松井 拓也, 宇野 天敬, 斎藤 雅也, 草野 武, 飯田 慎一郎, 内山 昌秋, 鈴木 朋子, 山本 啓二, 中元秀友, "より良いリハビリ診療を目指して人工知能解析を用いたウェアラブル機器による経時的血行動態把握の可能性と未来 ," 第13回日本腎臓リハビリテーション学会学術集会, 招待講演, 埼玉, 2023.03. 

  10. 宍倉 基文, 大貫 良幸, 石下 洋平, 川合 謙介, 叶賀 卓, 三木 治憲, 川嵜 圭祐, 宮川 尚久, 林 隆介 , "動物種間の皮質脳波応答比較に基づく顔処理の流暢性効果の検討," 日本視覚学会 2023年 冬季大会, ポスター, 東京, 2023.01. 

• Reviews

  1. 多田 充徳, 叶賀 卓, "データサイエンスに基づくリハビリテーションの時系列データ解析," Journal of Clinical Rehabilitation, vol. 32, no. 3, 2023.03, [pdf].

• Journal Articles

  1. S. Kanoga, T. Hoshino, H. Asoh, "Subject-transfer framework with unlabeled data based on multiple distance measures for surface electromyogram pattern recognition," Biomedical Signal Processing and Control  (IF: 5.076), vol. 74, 2022.04, [pdf], [code].

• International Conference Proceedings

  1. Y. Okawa, S. Kanoga, T. Hoshino, T. Nitta, "Sequential Learning on sEMGs in Short- and Long-term Situations via Self-training Semi-supervised Support Vector Machine," 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22), pp. 3232-3235, oral, UK, 2022.07, [pdf], [slide].

  2. Y. Kumano, H. Toda, S. Kanoga, M. Yamamoto, H. Takemura, M. Tada, "Estimation of Joint Angle during Walking from Sparse IMUs Using Deep Learning," The 17th International Symposium of 3D-Analysis of Human Movement, [poster], [slide], Tokyo, 2022.07 (Young Investigator Poster Award), [poster].

  3. S. Kanoga, T. Hoshino, M. Tada, "A Style Transfer Mapping and Fine-tuning Subject Transfer Framework Using Convolutional Neural Networks for Surface Electromyogram Pattern Recognition," 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'22), pp.1171-1175, virtual, 2022.05, [pdf], [poster], [slide], [video].

• Domestic Workshops

  1. 青柳 龍太郎, 小林 威仁, 多田 充徳, 叶賀 卓, 飯田 慎一郎, 内山 昌秋, 山本 啓二, 中元 秀友 , "人工知能解析を用いたウェアラブル機器による推定血圧・脈拍モニタリングシステムの開発," 第44回日本高血圧学会総会, オーラル, 京都, 2022.10 (優秀演題賞受賞).

  2. 亀井 智史, 叶賀 卓, 山本 征孝, 竹村 裕, 多田 充徳 , "光電容積脈波を用いた血圧推定モデルの長期間精度検証," The 6th Workshop of Robotics Ongoing Breakthroughs , ポスター, 広島, 2022.10, [poster].

  3. 熊野 勇治, 叶賀 卓, 山本 征孝, 竹村 裕, 多田 充徳 , "スマートウォッチを用いた歩行運動のリアルタイム計測," The 6th Workshop of Robotics Ongoing Breakthroughs , ポスター, 広島, 2022.10, [poster].

  4. 亀井 智史, 叶賀 卓, 山本 征孝, 竹村 裕, 多田 充徳 , "ファインチューニングしたPP-Netによるウェアラブルデバイスで計測した脈波からの血圧推定," ロボティクス・メカトロニクス 講演会, ポスター, 札幌, 2022.06, [poster].

  5. 熊野 勇治, 叶賀 卓, 戸田 晴貴, 山本 征孝, 竹村 裕, 多田 充徳 , "深層学習を用いた少数IMUによる歩行動作時の関節角度推定," ロボティクス・メカトロニクス 講演会, ポスター, 札幌, 2022.06 (若手優秀講演フェロー賞受賞), [poster].

  6. 叶賀 卓, "頭皮上脳波に混入するアーチファクトと多チャネル・単チャネルアーチファクト除去法," JSTCOI若手連携デジタル連携ファンド「脳生理情報のAI クラウドプラットフォームの展開に向けた基礎検討」シンポジウム , オンライン, 2022.03, [slide].

  7. 叶賀 卓, "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," 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, 招待講演, オンライン, 2022.01, [slide].

• Journal Articles

  1. T. Hoshino, S. Kanoga, M. Tsubaki, A. Aoyama, "Comparing subject-to-subject transfer learning methods in surface electromyogram-based motion recognition with shallow and deep classifiers ," Neurocomputing  (IF: 5.719), vol. 489, pp.599-612, [pdf].

  2. S. Kanoga, T. Hoshino, H. Asoh, "Semi-supervised style transfer mapping-based framework for sEMG-based pattern recognition with 1- or 2-DoF forearm motions ," Biomedical Signal Processing and Control  (IF: 3.137), vol. 68, [pdf], [code].

• International Conference Proceedings

  1. S. Kanoga, T. Takase, T. Hoshino, H. Asoh, "Time-domain Mixup Source Data Augmentation of sEMGs for Motion Recognition towards Efficient Style Transfer Mapping," 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'21), pp.35-38, virtual, 2021.11, [pdf], [slide]. 

• Domestic Workshops

  1. 土居 明莉, 山﨑 皓之, 叶賀 卓, 村井 昭彦、荻原 直道, "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," 第75回日本人類学会大会, ポスター, オンライン, 2021.10.

  2. 叶賀 卓, "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 ," 第32回日本急性血液浄化学会学術集会, 特別企画(招待講演), 埼玉, 2021.10, [slide].

• Miscellaneous Work

  1. 叶賀 卓, "日常生活環境下での運動推定に向けたIMUデータ拡張および運動推定技術開発", 第52回AIセミナー「人を知り、人に合わせ、人を高めるデジタルヒューマン技術」, バーチャル, 2021.12. (実際は"日常生活環境下での姿勢推定に向けたIMUデータ拡張および姿勢推定技術開発"で発表しました)

• Journal Articles

  1. M. Ogino, S.Kanoga, S. Ito, Y. Mitsukura, "Semi-supervised Learning for Auditory Event-related Potential-based Brain–Computer Interface," IEEE Access (IF: 3.745),  vol. 9, pp. 47008-47023, [pdf].

  2. T. Maruyama, H. Toda, S.Kanoga, M. Tada, Y. Endo, "Accuracy Evaluation of Human Gait Estimation by a Sparse Set of Inertial Measurement Units," Activity and Behavior Computing (IF: 0.590), pp.51-61, [pdf].

  3. S. Kanoga, T. Hoshino, H. Asoh, "Independent Low-Rank Matrix Analysis-Based Automatic Artifact Reduction Technique Applied to Three BCI Paradigms,"  Frontiers in Human Neuroscience  (IF: 2.673), vol. 14, [pdf].

  4. S. Kanoga, A. Kanemura, H. Asoh, "Are armband sEMG devices dense enough for long-term use?--Sensor placement shifts cause significant reduction in recognition accuracy,"  Biomedical Signal Processing and Control  (IF: 3.137), vol. 60, 101981, [pdf], [code and data] (314 MB).

  5. S. Kanoga, N. Kawai, K. Takaoka, "Deep Neural Networks for Grid-based Elusive Crime Prediction Using a Private Dataset Obtained from Japanese Municipalities," Advances in Intelligent Systems and Computing (IF: 0.570), pp. 105-112, [pdf].

• International Conference Proceedings

  1. T. Maruyama, S.Kanoga, M. Tada, Y. Endo, "Accuracy of Motion Estimation using Sparse Set IMUs in Gait Analysis," Smart Innovation, International Conference on Activity and Behavior Computing (ABC'20), pp. 51-61, Kitakyusyu, Japan, 2020, [pdf].

  2. M. Kato, S. Kanoga, T. Hoshino, T. Fukami, "Motor Imagery Classification of Finger Motions Using Multiclass CSP," 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'20), virtual oral, pp. 2991-2994, 2020.07, [pdf], [slide].

  3. T. Hoshino, S. Kanoga, M. Tsubaki, A. Aoyama, "Analysis and Usage: Subject-to-subject Linear Domain Adaptation in sEMG Classification," 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'20), virtual oral, pp. 674-677, 2020.07, [pdf], [slide]. 

  4. S. Kanoga, N. Kawai, K. Takaoka, "Deep Neural Networks for Grid-based Elusive Crime Prediction Using a Private Dataset Obtained from Japanese Municipalities," 11st International Conference on Applied Human Factors and Ergonomics (AHFE'20), virtual oral, pp. 105-112, California, USA, 2020.07, [pdf], [slide], [video].

  5. S. Kanoga, T. Hoshino, H. Asoh, "Subject Transfer Framework Based on Source Selection and Semi-Supervised Style Transfer Mapping for sEMG Pattern Recognition," 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP'20), virtual oral, pp. 1349-1353, Barcelona, Spain, 2020.05, [pdf], [slide], [video].

• Domestic Workshops

  1. 加藤将, 叶賀卓, 長島和馬, 星野貴行, 深見忠典, "CNNを用いた指の運動想起脳波の識別 ," 第39回日本医用画像工学会大会(JAMIT2020), oral, 山形, 2020.09.

• Journal Articles

  1. S. Kanoga, M. Nakanishi, A. Murai, M. Tada, and A. Kanemura, "Robustness Analysis of Decoding SSVEPs in Human with Head Movements Using a Moving Visual Flicker," Journal of Neural Engineering (IF: 4.551), vol. 17, no. 1, 2019, [pdf].

  2. M. Ogino, S. Kanoga, M. Muto, and Y. Mitsukura, "Analysis of Prefrontal Single-channel EEG Data for Portable Auditory ERP-based Brain--Computer Interfaces," Frontiers in Human Neuroscience (IF: 2.870), vol. 13, 2019, [pdf].

  3. S. Kanoga, A. Kanemura, and H. Asoh, "Multi-scale Dictionary Learning for Ocular Artifact Reduction from Single-channel Electroencephalograms," Neurocomputing (IF:4.072), vol. 347, pp. 340-350, 2019, [pdf], [code].

• International Conference Proceedings

  1. M. Ogino, S. Kanoga, Y. Tsuchiya, and Y. Mitsukura, "Multidimensional Scaling Analysis of Natural Sounds for Inducing High Auditory Response Amplitude,"  41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'19), poster, Berlin, Germany, 2019.07, [poster]. 

  2. S. Kanoga, M. Nakanishi, A. Murai, M. Tada, and A. Kanemura, "Feasibility of Detecting Steady-State Visual Evoked Potentials Contaminated by Intensity-Manipulated Muscular Artifacts", 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'19), poster, Berlin, Germany, 2019.07, [poster].

• Domestic Workshops

  1. 木村祐介, 叶賀卓, 河合成樹, 髙岡昂太, "刑法犯予測モデルへの地理空間情報活用に向けたグリッドベース犯罪履歴可視化," CSIS DAYS 2019, poster, 千葉, 2019.11.

  2. 木村祐介, 叶賀卓, "ヒュベニ簡略式と地域メッシュを用いたMGRSへの展開と応用," 第28回 地理情報システム学会研究発表大会, oral, 徳島, 2019. 10.

  3. 叶賀卓, 兼村厚範, 麻生英樹, "An Independent Low-rank Matrix Analysis-based Ocular Artifact Reduction Technique in Multi-channel EEGs for ERP-based BCI," 第29回 日本神経回路学会 全国大会, poster, 東京, 2019.09, [poster].

  4. 星野貴行, 叶賀卓, 兼村厚範, 小川剛史, 青山敦. ``頭部運動に依存した脳血流と頭皮血流がfNIRSデコーディングに与える影響の解析,'' 第58回日本生体医工学会大会, poster, 沖縄, 2019.06, [abst].

• 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), oral, pp. 474-478, CA, USA, 2018.11, [pdf], [slide], [code].

  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), oral, pp. 83-89, Miyazaki, Japan, 2018.10, [pdf].

  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), oral, 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), oral, 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, oral, 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.

• Journal Article

  1. S. Kanoga and Y. Mitsukura, "A Study of Pattern Recognition in Children Using Single-Channel Electroencephalogram for Specialized Electroencephalographic Devices", Electron. Commun. Jpn. (IF: 0.204), Vol.100, No.11, pp.43-53, 2017, [pdf] (Reprinted). 

• Book Chapter

  1. S. Kanoga and Y. Mitsukura, "Review of Artifact Rejection Methods for Electroencephalographic Systems", InTech, Electroencephalography, Chapter 6, 2017, [pdf].

• International Conference Proceeding

  1. 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), oral, pp.1796-1799, Jeju Island, Korea, 2017.07, [pdf], [slide]. 

• Domestic Workshop

  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, oral, 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． 

• Miscellaneous Work

  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. 

• Journal Articles

  1. S. Kanoga and 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, [pdf] (in Japanese).

  2. S. Kanoga, M. Nakanishi, and Y, Mitsukura, "Assessing the Effects of Voluntary and Involuntary Eyeblinks in Independent Components of Electroencephalogram", Neurocomputing (IF: 4.072), Vol.193, pp.20-32, 2016, [pdf], [dataset].

• International Conference Proceedings

  1. 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), oral, pp.380-383, Yogyakarta, Indonesia, 2016.10, [pdf].

  2. 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.

  3. 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.

  4. 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), oral, pp.100-104, Melaka, Malaysia, 2016.03, [pdf].

• Domestic Workshops

  1. 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, oral, pp.168-171, 宮城, 2016.09, [pdf].

  2. Shintaro Imai, Suguru Kanoga, Yasue Mitsukura, "Cross-Bispectrum Analysis of EEG in Seat Angles", 電気学会C部門大会, oral, pp.1432-1433, 兵庫, 2016.08 (Outstanding student presentation award), [pdf].

• Miscellaneous Works

  1. 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.

  2. 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.

  3. 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.

• Journal Article

  1. 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, [pdf] (in Japanese).

• International Conference Proceedings

  1. 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), oral, pp.121-124, Milano, Italy, 2015.08, [pdf].

  2. 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), oral, pp.1585-1590, Kota Kinabalu, Malaysia, 2015.05, [pdf].

  3. 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), oral, pp.1-6, Nagoya, Japan, 2015.03, [pdf].

  4. 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), oral, pp.555-558, Kuala Lumpur, Malaysia, 2015.03.

• Domestic Workshop

  1. 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. 

• Journal Article

  1. 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]. 

• International Conference Proceedings

  1. 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), oral, pp.124-127, Luzern, Switzerland, 2014.09.

  2. 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), poster, pp.120-125, Hiroshima, Japan, 2014.05, [pdf].

  3. 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), oral, pp.536-541, Kanagawa, Japan, 2014.03, [pdf].

  4. 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), oral, pp.673-676, Hawaii, USA, 2014.03.

  5. 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), oral, pp.673-676, Hawaii, USA, 2014.03.

• Domestic Workshops

  1. 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, oral, 島根, 2014.09 (優秀論文発表賞), [pdf].

  2. 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, oral, pp.117-120, 神奈川, 2014.09, [pdf].

  3. 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, oral, pp.63-68, 愛知, 2014.03, [pdf].

  4. 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), oral, pp.200-205, 熊本, 2014.03.

• International Conference Proceedings

  1. 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), oral, pp.129-134, Kuala Lumpur, Malaysia, 2013.12 (Best presenter), [pdf].

  2. 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), oral, pp.604-607, Hawaii, USA, 2013.03.

• Domestic Workshops

  1. 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), oral, pp.243-248, 福岡, 2013.09, [pdf].

  2. 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, oral, pp.938-943, 北海道, 2013.09, [pdf].

  3. 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, oral, pp.1-6, 東京, 2013.04, [pdf].

• Domestic Workshops

  1. 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, oral, pp.1265-1269, 京都, 2012.11, [pdf].

  2. 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, oral, pp.1035-1039, 青森, 2012.09, [pdf].