2024/05/14 更新

写真a

マツオ カズヤ
松尾 一矢
MATSUO Kazuya
Scopus 論文情報  
総論文数: 0  総Citation: 0  h-index: 5

Citation Countは当該年に発表した論文の被引用数

所属
大学院工学研究院 機械知能工学研究系
職名
准教授
メールアドレス
メールアドレス
研究室電話
093-884-3187
外部リンク

研究キーワード

  • センサ情報処理

  • ロボット工学

研究分野

  • ものづくり技術(機械・電気電子・化学工学) / 計測工学

取得学位

  • 九州大学  -  博士(工学)   2010年03月

学内職務経歴

  • 2022年03月 - 現在   九州工業大学   大学院工学研究院   機械知能工学研究系     准教授

  • 2015年04月 - 2022年02月   九州工業大学   大学院工学研究院   機械知能工学研究系     助教

所属学会・委員会

  • 2018年04月 - 2020年03月   電気学会(C部門) 制御技術委員会 人間支援システムのための情報・制御調査専門委員会   日本国

  • 2017年04月 - 2019年03月   日本機械学会 ロボティクス・メカトロニクス部門 第95期運営委員会   日本国

  • 2016年07月 - 現在   日本機械学会   日本国

  • 2016年07月 - 現在   日本神経回路学会   日本国

  • 2016年07月 - 現在   Asia Pacific Neural Network Society   日本国

  • 2016年03月 - 現在   計測自動制御学会   日本国

  • 2016年03月 - 2018年02月   電気学会(C部門) 制御技術委員会 安心・安全な人と機械のための情報・制御技術調査専門委員会   日本国

  • 2014年03月 - 2016年02月   電気学会(C部門) 制御技術委員会 人と機械をつなぐ情報・制御技術調査専門委員会   日本国

  • 2007年09月 - 現在   IEEE   アメリカ合衆国

  • 2007年09月 - 現在   日本バーチャルリアリティ学会   日本国

  • 2006年04月 - 現在   日本ロボット学会   日本国

▼全件表示

論文

  • Unconstrained Measurement of Heart Rate Considering Harmonics of Respiratory Signal Using Flexible Tactile Sensor Sheet 査読有り 国際誌

    Kazuya Matsuo, Toshiharu Mukai, and Shijie Guo

    Journal of Robotics and Mechatronics ( 富士技術出版株式会社 )   33 ( 4 )   2021年08月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(学術雑誌)

  • Unconstrained measurement of heart rate considering harmonics of respiratory signal using flexible tactile sensor sheet 査読有り 国際誌

    Matsuo K., Mukai T., Guo S.

    Journal of Robotics and Mechatronics ( 富士技術出版株式会社 )   33 ( 4 )   826 - 832   2021年08月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(学術雑誌)

    Measurement of the sleeping state is useful for monitoring the health of a person being nursed. The sleeping state can be estimated from biological information such as respiration rate, heart rate, body motion, and lying posture. A heart rate measurement method that considers the harmonics of a respiratory signal is described herein. The harmonics of respiratory signals for heart rate measurement has not been considered hitherto. An unconstrained method is proposed for measuring respiration, heart rate, and lying posture using a Smart Rubber sensor, which is a rubber-based flexible planar tactile sensor developed for this study. Respiration and heart rates are measured by applying frequency analysis to time-series data of body pressure. The harmonics of a respiratory signal serves as noise in heart rate measurement. Therefore, the heart rate measurement is improved by eliminating the effects of harmonics. The average frequency error of the heart rate measurement by our proposed method is 0.144 Hz. Experimental results show that our proposed method enhances the precision of heart rate measurement. Hence, this method enables the accurate measurement of the sleeping state.

    DOI: 10.20965/jrm.2021.p0826

    Scopus

    CiNii Research

    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85114297789&origin=inward

  • Unconstrained Measurement of Heart Rate Considering Harmonics of a Respiratory Signal by Flexible Tactile Sensor Sheet 査読有り 国際誌

    Kazuya Matsuo, Toshiharu Mukai, and Shijie Guo

    Proceedings of the 26th International Conference on Artificial Life and Robotics (ICAROB2021)   26 ( GS2 )   137 - 143   2021年01月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    This study describes a heart rate measurement method by considering the harmonics of a respiratory signal. Respiration and heart rates were measured by applying frequency analysis to the time-series data of body pressure. The harmonics of a respiratory signal serve as noises in heart rate measurement. Therefore, heart rate measurement was improved by eliminating the effects of the harmonics. The results of experiments demonstrated that our proposed method enhances the precision of heart rate measurement.

    Scopus

  • A Method for Improving Recognition of Lying Postures Using a Measured Signal Intensity of Respiration and Heartbeat by Flexible Tactile Sensor Sheet 査読有り 国際誌

    Kazuya Matsuo, Toshiharu Mukai, and Shijie Guo

    Proceedings of the 26th International Conference on Artificial Life and Robotics (ICAROB2021)   26 ( GS3 )   239 - 245   2021年01月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    We describe a method for improving recognition of lying postures using a measured signal ntensity of respiration and heartbeat. We can obtain respiration and heartbeat by means of using the body pressure measured at the suitable location determined by lying posture in the conventional method. Therefore, a recognition rate of lying postures and a measured signal intensity of respiration and heartbeat have positive correlation. In the experiments, we show that recognition of lying postures is improved by our method.

    Scopus

  • A Method for Improving Recognition of Lying Postures Using a Measured Signal Intensity of Respiration and Heartbeat by Flexible Tactile Sensor Sheet 査読有り 国際誌

    Matsuo Kazuya, Mukai Toshiharu, Guo Shijie

    人工生命とロボットに関する国際会議予稿集 ( 株式会社ALife Robotics )   26   239 - 245   2021年01月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    We describe a method for improving recognition of lying postures using a measured signal ntensity of respiration and heartbeat. We can obtain respiration and heartbeat by means of using the body pressure measured at the suitable location determined by lying posture in the conventional method. Therefore, a recognition rate of lying postures and a measured signal intensity of respiration and heartbeat have positive correlation. In the experiments, we show that recognition of lying postures is improved by our method.

    DOI: 10.5954/icarob.2021.gs3-2

    CiNii Research

  • Unconstrained Measurement of Heart Rate Considering Harmonics of a Respiratory Signal by Flexible Tactile Sensor Sheet 査読有り 国際誌

    Matsuo Kazuya, Mukai Toshiharu, Guo Shijie

    人工生命とロボットに関する国際会議予稿集 ( 株式会社ALife Robotics )   26   137 - 143   2021年01月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    This study describes a heart rate measurement method by considering the harmonics of a respiratory signal. Respiration and heart rates were measured by applying frequency analysis to the time-series data of body pressure. The harmonics of a respiratory signal serve as noises in heart rate measurement. Therefore, heart rate measurement was improved by eliminating the effects of the harmonics. The results of experiments demonstrated that our proposed method enhances the precision of heart rate measurement.

    DOI: 10.5954/icarob.2021.gs2-1

    CiNii Research

  • Unconstrained detection of the respiratory motions of chest and abdomen in different lying positions using a flexible tactile sensor array 査読有り

    Shijie Guo, Xingli Zhao, Kazuya Matsuo, Jinyue Liu, Toshiharu Mukai

    IEEE Sensors Journal   19 ( 21 )   10067 - 10076   2019年06月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)

    Respiratory Inductance Plethysmography (RIP) is commonly used to detect the respiratory motions of chest and abdomen during sleep. However, this method is not suitable for daily use due to its strong constraints. Many unconstrained methods have been developed, but they have a common problem with distinguishing the chest and abdominal motions, which are required for understanding the type of sleep apnea. In this paper, we proposed an unconstrained method to distinguish chest and abdominal motions by measuring the pressure fluctuations from the chest and abdomen acting on a mattress. We then investigated the feasibility of detecting respiratory motions by using a flexible tactile sensor array, which was laid on a bed like a bed sheet. Ten healthy subjects (five males and five females) were tested and the results were compared with those measured by the RIP band sensors. It was confirmed that the sensor array could measure the motions of the chest and abdomen and obtain the respiratory rate at a high accuracy. However, the phase of the pressure fluctuations measured by the sensor array might disagree with the outputs of the RIP band sensors, depending on the gender and lying position of the subject. The reason was discussed with a dynamic model, which showed that the disagreement might have been related to the coupling of the chest and abdomen. In addition, the influence of the stiffness of the mattress on the pressure fluctuations was investigated. The results showed that mattress stiffness had little effect on the measurement.

    DOI: 10.1109/JSEN.2019.2925022

    Scopus

    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85073617543&origin=inward

  • 呼吸と心拍の信号強度を用いた寝姿勢識別の改善手法 査読有り

    松尾 一矢, 向井 利春, 郭 士傑

    日本機械学会論文集 ( 一般社団法人 日本機械学会 )   84 ( 867 )   18 - 00175-18-00175   2018年01月

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    担当区分:筆頭著者, 責任著者   記述言語:日本語   掲載種別:研究論文(学術雑誌)

    <p>We describe a method for improving recognition of lying postures using a measured signal intensity of respiration and heartbeat. We have proposed a measurement method of lying posture, respiration, and heartbeat using a Smart Rubber sensor, a rubber-based flexible tactile sensor sheet developed by us. We can obtain respiration and heartbeat by means of using the time series data of the body pressure measured at the suitable location determined by lying posture in this measurement method. Therefore, a recognition rate of lying postures and a measured signal intensity of respiration and heartbeat have positive correlation. In the experiments, we show that recognition of lying postures is improved by means of using a measured signal intensity of respiration and heartbeat.</p>

    DOI: 10.1299/transjsme.18-00175

    CiNii Article

    CiNii Research

    その他リンク: https://ci.nii.ac.jp/naid/130007521454

  • Unconstrained measurement of respiration motions of chest and abdomen using a tactile sensor sheet in supine position on bed 査読有り 国際誌

    Guo S., Matsuo K., Liu J., Mukai T.

    Journal of Medical Devices, Transactions of the ASME   10 ( 4 )   2016年12月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)

    © 2016 by ASME.The management of health through daily monitoring of respiration is of major importance for early diagnosis to prevent respiratory and circulatory diseases. Such daily health monitoring is possible only if the monitoring system is physically and psychologically noninvasive. However, current unconstrained measurement methods cannot distinguish chest and abdominal movements in diagnosing sleep apnea. In this study, a flexible and stretchable tactile sensor sheet was developed to measure the static body pressure of a subject who lies on it and measure the pressure fluctuations induced by respiration or respiratory efforts. The results were compared with the measurements by band sensors that are widely used for measuring chest and abdominal movements in clinic. It was demonstrated that the sensor sheet can distinguish chest and abdominal movements in a supine position. The reasons why the pressure fluctuations measured by the sensor sheet are antiphase with the outputs of band sensors are discussed using a simple dynamic model.

    DOI: 10.1115/1.4034465

    Scopus

    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84987870719&origin=inward

  • 柔軟面状触覚センサを用いた呼吸と心拍の無拘束計測 (共著) 査読有り

    松尾一矢, 向井利春, 加藤陽, 郭士傑

    日本機械学会論文集   81 ( 826 )   2015年06月

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    担当区分:筆頭著者, 責任著者   記述言語:日本語   掲載種別:研究論文(学術雑誌)

    DOI: 10.1299/transjsme.14-00642

  • Determination of Locations on a Tactile Sensor Suitable for Respiration and Heartbeat Measurement of a Person on a Bed (共著) 査読有り

    Toshiharu Mukai, Kazuya Matsuo, Yo Kato, Atsuki Shimizu, and Shijie Guo

    Proc. the 36th Annu. Int. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC2014)   66 - 69   2014年08月

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    DOI: 10.1109/EMBC.2014.6943530

    Scopus

  • ベッド上の触覚センサによる姿勢・呼吸・心拍の無拘束測定 (共著) 査読有り

    向井利春, 松尾一矢, 加藤陽, 清水厚輝, 郭士傑

    日本機械学会論文集   80 ( 815 )   2014年07月

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)

  • Measurement of Respiration and Heartbeat Using a Flexible Tactile Sensor Sheet on a Bed (共著) 査読有り

    Kazuya Matsuo, Toshiharu Mukai, Yo Kato, Atsuki Shimizu, and Shijie Guo

    Proc. the 11th IASTED Int. Conf. on Biomedical Engineering (BioMed2014)   59 - 64   2014年06月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    DOI: 10.2316/P.2014.818-031

    Scopus

  • Lying Posture Detection for Unconstrained Measurement of Respiration and Heartbeat of a Person on a Bed (共著) 査読有り

    Toshiharu Mukai, Kazuya Matsuo, Yo Kato, Atsuki Shimizu, and Shijie Guo

    Proc. the 11th IASTED Int. Conf. on Biomedical Engineering (BioMed2014)   46 - 53   2014年06月

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    DOI: 10.2316/P.2014.818-014

    Scopus

  • Position Tracking and Recognition of Everyday Objects by Using Sensors Embedded in an Environment and Mounted on Mobile Robots (共著) 査読有り

    Kouji Murakami, Kazuya Matsuo, Tsutomu Hasegawa, and Ryo Kurazume

    Proc. IEEE Int. Conf. on Robotics and Automation (ICRA2012)   2210 - 2216   2012年05月

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    DOI: 10.1109/ICRA.2012.6225329

    Scopus

  • Position Tracking System for Commodities in an Indoor Environment (共著) 査読有り

    Kouji Murakami, Kazuya Matsuo, Tsutomu Hasegawa, Yasunobu Nohara, Byong Won Ahn, and Ryo Kurazume

    Proc. IEEE Int. Conf. on Sensors   1879 - 1882   2010年11月

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    DOI: 10.1109/ICSENS.2010.5690034

    Scopus

  • A Tactile Sensing for Estimating the Position and Orientation of a Joint-Axis of a Linked Object (共著) 査読有り

    Kazuya Matsuo, Kouji Murakami, Katsuya Niwaki, Tsutomu Hasegawa, Kenji Tahara, and Ryo Kurazume

    Proc. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS2010)   1884 - 1889   2010年10月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    DOI: 10.1109/IROS.2010.5649899

    Scopus

  • A Decision Method for Placement of Tactile Elements on a Sensor Glove for the Recognition of Grasp Types (共著) 査読有り

    Kouji Murakami, Kazuya Matsuo, Tsutomu Hasegawa, and Ryo Kurazume

    IEEE/ASME Transactions on Mechatronics   15 ( 1 )   157 - 162   2010年02月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)

    DOI: 10.1109/TMECH.2009.2023647

    Scopus

  • Segmentation method of human manipulation task based on measurement of force imposed by a human hand on a grasped object (共著) 査読有り

    Kazuya Matsuo, Kouji Murakami, Tsutomu Hasegawa, Kenji Tahara, and Ryo Kurazume

    Proc. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS2009)   1767 - 1772   2009年10月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

  • Measurement of static constraints imposed by a human hand on a grasped object (共著) 査読有り

    Kazuya Matsuo, Kouji Murakami, Tsutomu Hasegawa, Kenji Tahara, and Ryo Kurazume

    Proc. Int. Conf. on Advanced Robotics (ICAR2009)   2009年06月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

  • A Decision Method for the Placement of Mechanical Tactile Elements for Grasp Type Recognition (共著) 査読有り

    Kazuya Matsuo, Kouji Murakami, Tsutomu Hasegawa, and Ryo Kurazume

    Proc. IEEE Int. Conf. on Sensors   1472 - 1475   2008年10月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

  • A Decision Method of Placement of Tactile Sensors for Manipulation Task Recognition (共著) 査読有り

    Kazuya Matsuo, Kouji Murakami, Tsutomu Hasegawa, and Ryo Kurazume

    Proc. IEEE Int. Conf. Robotics and Automation (ICRA2008)   1641 - 1646   2008年05月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

  • 手作業認識のための触覚センサ素子配置の決定手法 (共著) 査読有り

    松尾一矢, 村上剛司, 長谷川勉

    日本バーチャルリアリティ学会論文誌   13 ( 1 )   93 - 96   2008年03月

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    担当区分:筆頭著者, 責任著者   記述言語:日本語   掲載種別:研究論文(学術雑誌)

  • Recognition of Manipulation Sequences by Human Hand Based on Support Vector Machine (共著) 査読有り

    Kazuya Matsuo, Kouji Murakami, Tsutomu Hasegawa, and Ryo Kurazume

    Proc. of the 33rd Annual Conference of the IEEE Industrial Electronics Society (IECON2007)   2801 - 2806   2007年11月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

  • 柔軟面状触覚センサにより計測した呼吸と心拍と体動を用いた睡眠状態の推定

    春田 烈, 松尾 一矢

    IIP情報・知能・精密機器部門講演会講演論文集 ( 一般社団法人 日本機械学会 )   2023 ( 0 )   IIPB-4-1   2023年01月

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    担当区分:最終著者   記述言語:日本語   掲載種別:研究論文(研究会,シンポジウム資料等)

    <p>The number of people requiring nursing care is expected to increase significantly in the future. However, the number of nursing care workers is not keeping pace with this increase. If the sleep state of those requiring nursing care can be easily estimated, it will be effective in reducing the burden on nursing care workers. We have already developed a method to measure respiration, heartbeat, and body movement of a healthy subject using a flexible tactile sensor sheet by frequency analysis of measured body pressure time series data. In this study, we measured those pieces of biological information of hospitalized patients throughout a night. In addition, we confirmed that the measured biological information can be used to estimate the sleep state.</p>

    DOI: 10.1299/jsmeiip.2023.iipb-4-1

    CiNii Research

  • Analysis of Performance Improvement for Speaker Verification by Combining Feature Vectors of LPC Spectral Envelope, MFCC and pLPC Pole Distribution 査読有り 国際誌

    Shigeta H., Komatsu K., Oyabu S., Matsuo K., Kurogi S.

    Lecture Notes in Networks and Systems   418 LNNS   220 - 230   2022年01月

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    This paper examines the performance improvement via combining feature vectors for speaker verification. As feature vectors, we use LPC (linear predictive coding) spectral envelope (LPCSE), Mel-frequency cepstral coefficients (MFCC) and piecewise LPC (pLPC) pole distribution (pLPCPD). Here, pLPCPD is the feature which we have introduced and developed, and this paper shows a relationship of the underlying pLPC speech signal model for speaker verification with ARMA and AR models for speech production. We execute experiments of speaker verification with the combinations of the features. We examine the experimental results and show that (1) the smallest AER (average error rate) is achieved by MFCC followed in order by pLPCPD and LPCSE, (2) the AER achieved by LPCSE, MFCC and LPCSE+MFCC (combination of LPCSE and MFCC) is reduced by combining pLPCPD, (3) there are conflicting features in LPCSE, MFCC and pLPCPD to increase the AER, and the smallest AER is obtained by MFCC+pLPCPD among the combinations of LPCSE, MFCC and pLPCPD. We also investigate the relationship between pLPCPD and the aperiodicity used for vocal cord excitation in recent vocoders, which seems to explain the above result (2).

    DOI: 10.1007/978-3-030-96308-8_20

    Scopus

    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85127619511&origin=inward

  • Speaker verification from mixture of speech and non-speech audio signals via using pole distribution of piecewise linear predictive coding coefficients(共著) 査読有り 国際誌

    Toshiki Tagomori, Ryosuke Tsuruda, Kazuya Matsuo, Shuichi Kurogi

    Journal of Ambient Intelligence and Humanized Computing ( Springer Berlin Heidelberg )   2020年01月

     詳細を見る

    記述言語:英語   掲載種別:研究論文(学術雑誌)

    This paper examines a method of speaker verification from mixture of speech and non-speech audio signals via using pole distribution of speech signals. The poles of speech signal derived from the all-pole speech production model are obtained via a neural net called bagging CAN2 (competitive associative net 2) for learning efficient piecewise linear approximation of nonlinear functions. We show an analysis that poles of the mixture of two audio signals are expected to show three typical phenomena. Namely, with the change of the weight of the mixture, there will be (1) a sudden change of the number of poles, (2) a gradual change of the number of poles, and (3) novel poles not in the original signals. By means of experiments, we show that there are poles exhibiting those phenomena, and they are considered to affect the performance on speaker verification. As a performance measure of speaker verification, recall shows large decrease with the change of speech signal from unmixed to mixed, especially for the mixture with violin signal as well as with speech signal. Furthermore, precision has larger value than recall for the same dataset of mixture of audio signals. Finally, we show the usefulness of the present method in further researches.

    DOI: 10.1007/s12652-020-01716-6

    Scopus

    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85078197143&origin=inward

  • Entropy of LOO Predictable Horizons to Select a Learning Machine and a Representative Prediction of Chaotic Time Series 査読有り

    Miyazaki D., Matsuo K., Kurogi S.

    Communications in Computer and Information Science   1333   778 - 787   2020年01月

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    © 2020, Springer Nature Switzerland AG. Recently, we have presented several methods to select representative predictions of chaotic time series. Here, the methods employ strong learners capable of making predictions with small error, where usual ensemble mean does not work well owing to an ensemble member with short term predictable horizon because the ensemble prediction error of chaotic time series grows exponentially after the smallest predictable horizon of the ensemble member. Here, we refer to ‘predictable horizon’ as the first point in time after which the prediction error exceeds a certain error threshold. So far, we have developed several methods to select representative predictions from a set of many predictions by means of using a LOOCV (leave-one-out cross-validation) measure to estimate predictable horizon. From the analysis of the methods showing that the method works well with sufficiently large number of predictions generated by sufficiently strong learning machines, this paper presents a method to generate a large number of predictions and select a learning machine and a representative prediction using the entropy of LOO predictable horizons. By means of numerical experiments, we show and examine the effectiveness of the present method.

    DOI: 10.1007/978-3-030-63823-8_88

    Scopus

    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85097072335&origin=inward

  • Composition and Analysis of Pareto Optimal Compromise Solutions for Multiobjective Robust Controller Using GPC and CAN2s 査読有り

    Nakayama H., Ogi K., Matsuo K., Kurogi S.

    Communications in Computer and Information Science   1333   713 - 722   2020年01月

     詳細を見る

    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    © 2020, Springer Nature Switzerland AG. So far, we have developed a multiobjective robust controller using GPC (generalized predictive controller) and CAN2s (competitive associative neural nets) to learn and approximate Jacobian matrices of nonlinear dynamics of the plant to be controlled. Here, the CAN2 is an artificial neural net for learning efficient piecewise linear approximation of nonlinear function. In our recent research study, we have clarified a significant property of the controller that it achieves the closed loop transfer function to have unstable poles for quick response during transient period and to have stable poles during steady state. Here, the controller for multiobjective control usually has conflicting multiple control objectives, such as reducing settling time and overshoot, and then the control strategy has to adjust weighted objectives. Thus, in this paper, we focus on Pareto optimal compromise solutions of the proposed controller, where the controller should achieve reasonable Pareto solutions for a wide range of weighted control objectives. By means of numerical experiments, we show that the controller can achieve a reasonable Pareto solutions by using integrated CAN2s consisting of two primitive CAN2s, each trained for one of the multiple objectives.

    DOI: 10.1007/978-3-030-63823-8_81

    Scopus

    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85097093426&origin=inward

  • Stability Analysis of Multiobjective Robust Controller Employing Switching of Competitive Associative Nets 査読有り 国際誌

    Nakayama H., Matsuo K., Kurogi S.

    Communications in Computer and Information Science   1143 CCIS   365 - 375   2019年01月

     詳細を見る

    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    So far, we have developed a multiobjective robust controller using GPC (generalized predictive controller) and CAN2s (competitive associative neural nets) to learn and approximate Jacobian matrices of nonlinear dynamics of the plant to be controlled. Here, the CAN2 is an artificial neural net for learning efficient piecewise linear approximation of nonlinear function. In our previous studies, we have shown that the controller is capable of coping with the change of plant parameter values as well as the change of control objective by means of switching CAN2s. This paper examines the stability of the controller by means of using a linear plant to be controlled, and show the properties and the effectiveness of the present method.

    DOI: 10.1007/978-3-030-36802-9_39

    Scopus

    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85078440228&origin=inward

  • Grading fruits and vegetables using RGB-D images and convolutional neural network 査読有り 国際誌

    Nishi T., Kurogi S., Matsuo K.

    2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings   2018-January   1 - 6   2018年02月

     詳細を見る

    担当区分:最終著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    © 2017 IEEE. This paper presents a method for grading fruits and vegetables by means of using RGB-D (RGB and depth) images and convolutional neural network (CNN). Here, we focus on grading according to the size of objects. First, the method transforms positions of pixels in RGB image so that the center of the object in 3D space is placed at the position equidistant from the focal point by means of using the corresponding depth image. Then, with the transformed RGB images involving equidistant objects, the method uses CNN for learning to classify the objects or fruits and vegetables in the images for grading according to the size, where the CNN is structured for achieving both size sensitivity for grading and shift invariance for reducing position error involved in images. By means of numerical experiments, we show the effectiveness and the analysis of the present method.

    DOI: 10.1109/SSCI.2017.8285278

    Scopus

    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85046098076&origin=inward

  • Hierarchical clustering of ensemble prediction using LOOCV predictable horizon for chaotic time series 査読有り 国際誌

    Kurogi S., Shimoda N., Matsuo K.

    2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings   2018-January   1 - 7   2018年02月

     詳細を見る

    担当区分:最終著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    © 2017 IEEE. Recently, we have presented a method of ensemble prediction of chaotic time series. The method employs strong learners capable of making predictions with small error, where usual ensemble mean does not work well owing to the long term unpredictability of chaotic time series. Thus, we have developed a method to select a representative prediction from a set of plausible predictions by means of using LOOCV (leave-one-out cross-validation) measure to estimate predictable horizon. Although we have shown the effectiveness of the method, it sometimes fails to select the representative prediction with long predictable horizon. In order to cope with this problem, this paper presents a method to select multiple candidates of representative prediction by means of employing hierarchical K-means clustering with K = 2. From numerical experiments, we show the effectiveness of the method and an analysis of the property of LOOCV predictable horizon.

    DOI: 10.1109/SSCI.2017.8285285

    Scopus

    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85046085866&origin=inward

  • Text-independent speaker verification from mixed speech of multiple speakers via using pole distribution of speech signals 査読有り 国際誌

    Tagomori T., Matsuo K., Kurogi S.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   11306 LNCS   430 - 440   2018年01月

     詳細を見る

    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    © Springer Nature Switzerland AG 2018. This paper presents a method of text-independent speaker verification from mixed speech of multiple speakers via using pole distribution of speech signals. The poles of speech signal derived from all-pole speech production model are obtained via a neural net called bagging CAN2 (competitive associative net 2) for learning efficient piecewise linear approximation of nonlinear function. We show an analysis that poles of mixed speech are expected to be composed of the poles farther from zeros of ARMA (autoregressive moving average) models of constituent speeches. By means of experiments using unmixed and mixed speeches, we show the distribution of the poles of speeches has two typical regions: one involves poles which change suddenly with the change of the speech from unmixed to mixed, and the other involves poles which change continuously with the change of the mixing weight, which is considered to support the analysis. We execute experiments of speaker verification, and obtain the following properties of recall and precision as measures of verification performance: the recall decreases suddenly with the change of the speech from unmixed to mixed, while the precision does not decreases so much with the decrease of SNR (signal to noise ratio) until below 0 dB. Finally, we show the usefulness of the present method.

    DOI: 10.1007/978-3-030-04224-0_37

    Scopus

    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85059008484&origin=inward

  • Analysis and application of step size of RK4 for performance measure of predictability horizon of chaotic time series 査読有り 国際誌

    Matsuzaki S., Matsuo K., Kurogi S.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   11306 LNCS   14 - 23   2018年01月

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    © Springer Nature Switzerland AG 2018. So far, we have presented several methods for chaotic time series prediction, and shown performance improvement on predictability horizon. However, we could not have shown the comparison of the performance with other methods. In order to obtain general and absolute performance measure of predictability horizon, this paper analyzes to formulate the relationship between the mean predictability horizon and the step size of the fourth-order Runge-Kutta method, or RK4. By means of using the formula which we have obtained in this article, the step size of RK4 corresponding to the mean predictability horizon achieved by a learning machine can be obtained without executing RK4. We execute numerical experiment of the prediction by several learning machines, and compare the performance by means of the step size of RK4 corresponding to the mean horizon achieved by the learning machines, and we show the effectiveness of the present method.

    DOI: 10.1007/978-3-030-04224-0_2

    Scopus

    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85058985349&origin=inward

  • Performance Improvement via Bagging in Probabilistic Prediction of Chaotic Time Series Using Similarity of Attractors and LOOCV Predictable Horizon 査読有り

    Shuichi Kurogi, Mitsuki Toidani, Ryosuke Shigematsu, and Kazuya Matsuo

    Neural Computing and Applications   29 ( 9 )   1 - 9   2017年07月

     詳細を見る

    記述言語:英語   掲載種別:研究論文(学術雑誌)

    Recently, we have presented a method of probabilistic prediction of chaotic time series. The method employs learning machines involving strong learners capable of making predictions with desirably long predictable horizons, where, however, usual ensemble mean for making representative prediction is not effective when there are predictions with shorter predictable horizons. Thus, the method selects a representative prediction from the predictions generated by a number of learning machines involving strong learners as follows: first, it obtains plausible predictions holding large similarity of attractors with the training time series and then selects the representative prediction with the largest predictable horizon estimated via LOOCV (leave-one-out cross-validation). The method is also capable of providing average and/or safe estimation of predictable horizon of the representative prediction. We have used CAN2s (competitive associative nets) for learning piecewise linear approximation of nonlinear function as strong learners in our previous study, and this paper employs bagging (bootstrap aggregating) to improve the performance, which enables us to analyze the validity and the effectiveness of the method.

    DOI: 10.1007/s00521-017-3149-7

    Scopus

    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85023751640&origin=inward

  • Entropy maximization of occupancy grid map for selecting good registration of SLAM algorithms 査読有り 国際誌

    Akiyama D., Matsuo K., Kurogi S.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   9947 LNCS   158 - 167   2016年01月

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    © Springer International Publishing AG 2016.This paper analyzes entropy of occupancy grid map (OGM) for evaluating registration performance of SLAM (simultaneous localization and mapping) algorithms. So far, there are a number of SLAM algorithms having been proposed, but we do not have general measure to evaluate the registration performance of point clouds obtained by LRF (laser range finder) for SLAM algorithms. This paper analyzes to show that good registration seems corresponding to large overlap of point clouds in OGM as well as large entropy, large uncertainty and low information of OGM. This analysis indicates a method of entropy maximization of OGM for selecting good registration of SLAM algorithms. By means of executing numerical experiments, we show the validity and the effectiveness of the entropy of OGM to evaluate the registration performance.

    DOI: 10.1007/978-3-319-46687-3_17

    Scopus

    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84992671851&origin=inward

  • Speaker detection in audio stream via probabilistic prediction using generalized GEBI 査読有り 国際誌

    Sakata K., Sakashita S., Matsuo K., Kurogi S.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   9950 LNCS   302 - 311   2016年01月

     詳細を見る

    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    © Springer International Publishing AG 2016.This paper presents a method of speaker detection using probabilistic prediction for avoiding the tuning of thresholds to detect a speaker in an audio stream. We introduce g-GEBI (generalized GEBI) as a generalization of BI (Bayesian Inference) and GEBI (Gibbsdistribution- based Extended BI) to execute iterative detection of a speaker in audio stream uttered by more than one speaker. Then, we show a method of probabilistic prediction in multiclass classification to classify the results of speaker detection. By means of numerical experiments using recorded real speech data, we examine the properties and the effectiveness of the present method. Especially, we show that g-GEBI and g-BI (generalized BI) are more effective than the conventional BI and GEBI in incremental speaker detection task.

    DOI: 10.1007/978-3-319-46681-1_37

    Scopus

    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84992712489&origin=inward

  • Probabilistic prediction for text-prompted speaker verification capable of accepting spoken words with the same meaning but different pronunciations 査読有り 国際誌

    Sakashita S., Takeguchi S., Matsuo K., Kurogi S.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   9950 LNCS   312 - 320   2016年01月

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    © Springer International Publishing AG 2016.So far, we have presented a method of probabilistic prediction using GEBI (Gibbs-distribution based Bayesian inference) for flexible text-prompted speaker verification. For more flexible and practical verification, this paper presents a method of verification capable of accepting spoken words with the same meaning but different pronunciations. For example, Japanese language has different pronunciations for a digit, such as /yon/ and /shi/ for 4, /nana/ and /shichi/ for 7, which are usually uttered via unintentional selection, and then it is a practical problem in speech verification of words involving digits, such as ID numbers. With several assumptions, we present a modification of GEBI for dealing with such words. By means of numerical experiments using recorded real speech data, we examine the properties of the present method and show the validity and the effectiveness.

    DOI: 10.1007/978-3-319-46681-1_38

    Scopus

    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84992740844&origin=inward

  • Performance improvement via bagging in ensemble prediction of chaotic time series using similarity of attractors and LOOCV predictable horizon 査読有り 国際誌

    Toidani M., Matsuo K., Kurogi S.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   9950 LNCS   590 - 598   2016年01月

     詳細を見る

    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    © Springer International Publishing AG 2016.Recently, we have presented a method of ensemble prediction of chaotic time series. The method employs strong learners capable of making predictions with small error and usual ensemble mean does not work for long term prediction owing to the long term unpredictability of chaotic time series. Thus, the method uses similarity of attractors to select plausible predictions from original predictions generated by strong leaners, and then calculates LOOCV (leave-one-out crossvalidation) measure to estimate predictable horizons. Finally, it provides representative prediction and an estimation of the predictable horizon. We have used CAN2s (competitive associative nets) for learning piecewise linear approximation of nonlinear function as strong learners in the previous study, and this paper employs bagging of them to improve the performance, and shows the validity and the effectiveness of the method.

    DOI: 10.1007/978-3-319-46681-1_70

    Scopus

    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84992741386&origin=inward

  • Probabilistic Prediction of Chaotic Time Series Using Similarity of Attractors and LOOCV Predictable Horizons for Obtaining Plausible Predictions (共著) 査読有り

    Shuichi Kurogi, Mitsuki Toidani, Ryosuke Shigematsu, and Kazuya Matsuo

    Proc. the 22nd Int. Conf. on Neural Information Processing (ICONIP2015)   9491   72 - 81   2015年12月

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    DOI: 10.1007/978-3-319-26555-1_9

    Scopus

  • Probabilistic Prediction in Multiclass Classification Derived for Flexible Text-Prompted Speaker Verification (共著) 査読有り

    Shuichi Kurogi, Shota Sakashita, Satoshi Takeguchi, Takuya Ueki, and Kazuya Matsuo

    Proc. the 22nd Int. Conf. on Neural Information Processing (ICONIP2015)   9489   216 - 225   2015年11月

     詳細を見る

    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    DOI: 10.1007/978-3-319-26532-2_24

    Scopus

  • Adaptive User-centered Design for Safety and Comfort of Physical Human Nursing-care Robot Interaction (共著) 査読有り

    Minghui Sun, Hiromichi Nakashima, Shinya Hirano, Kazuya Matsuo, Ming Ding, Chang-an Jiang, Toshiharu Mukai, and Guihe Qin

    Proc. the 4th Int. Conf. on Digital Human Modeling and Applications in Health, Safety, Ergonomics, and Risk Management: Healthcare and Safety of the Environment and Transport (DHM2013), Held as Part of HCI International 2013, Part I   365 - 372   2013年07月

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    DOI: 10.1007/978-3-642-39173-6_43

    Scopus

  • Comfort Estimation during Lift-up Using Nursing-care Robot - RIBA (共著) 査読有り

    Ming Ding, Ryojun Ikeura, Toshiharu Mukai, Hiromichi Nakashima, Shinya Hirano, Kazuya Matsuo, Minghui Sun, Chang-an Jiang, and Shigeyuki Hosoe

    Proc. the First Int. Conf. on Innovative Engineering Systems (ICIES2012)   246 - 250   2012年12月

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)

    DOI: 10.1109/ICIES.2012.6530874

    Scopus

▼全件表示

口頭発表・ポスター発表等

  • 柔軟面状触覚センサによる呼吸の高調波の影響を除外した心拍の計測手法

    松尾一矢, 向井利春, 郭士傑

    制御研究会 人間中心型システムのための情報・制御技術,および制御一般  電気学会

     詳細を見る

    開催期間: 2020年10月18日   記述言語:日本語   開催地:Zoom  

  • 柔軟面状触覚センサを用いた呼吸停止の検知

    松尾一矢

    第33回日本ロボット学会学術講演会 

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    開催期間: 2015年09月03日 - 2015年09月05日   記述言語:日本語  

  • Suitable Measurement Locations of Body Pressure for Measurement of Respiration

    Yo Kato

    第53回日本生体医工学会大会 

     詳細を見る

    開催期間: 2014年06月24日 - 2014年06月26日   記述言語:日本語  

  • 呼吸の計測に適した体圧の測定位置

    松尾一矢

    第53回日本生体医工学会大会 

     詳細を見る

    開催期間: 2014年06月   記述言語:日本語  

  • 柔軟面状触覚センサを用いた心拍の計測

    松尾一矢

    第14回計測自動制御学会システムインテグレーション部門講演会 

     詳細を見る

    開催期間: 2013年12月   記述言語:日本語  

  • 柔軟面状触覚センサを用いた呼吸と心拍の計測

    松尾一矢

    ロボティクス・メカトロニクス講演会2013 

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    開催期間: 2013年05月   記述言語:日本語  

  • Measurement of Respiration and Heartbeat by Using Smart Rubber Sensor

    Kazuya Matsuo

    RIKEN-HYU Joint Conference 2012 

     詳細を見る

    開催期間: 2012年12月   記述言語:英語  

  • A Tactile Sensing for Estimating the Posture of the Joint-Axis of a Linked Object

    Kazuya Matsuo

    Proc. the 6th Joint Workshop on Machine Perception and Robotics (MPR2010) 

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    開催期間: 2010年10月   記述言語:英語  

  • 接触情報を用いた物体の関節回転軸位置の推定

    松尾一矢

    ロボティクス・メカトロニクス講演会2010 

     詳細を見る

    開催期間: 2010年06月   記述言語:日本語  

  • Segmentation Method for Manipulation Task Based on Measurement of Force Imposed by a Human Hand on an Object

    Kazuya Matsuo

    Proc. the 5th Joint Workshop on Machine Perception and Robotics (MPR2009) 

     詳細を見る

    開催期間: 2009年10月   記述言語:英語  

  • 手が物体に加える力の計測に基づく手作業の分節化

    松尾一矢

    ロボティクス・メカトロニクス講演会2009 

     詳細を見る

    開催期間: 2009年05月   記述言語:日本語  

  • 物体に対する拘束に基づくヒト手作業プリミティブの抽出

    松尾一矢

    第14回ロボティクスシンポジア講演会予稿集 

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    開催期間: 2009年03月   記述言語:日本語  

  • 把握認識のための触覚センサ素子配置の決定手法

    松尾一矢

    ロボティクス・メカトロニクス講演会2008 

     詳細を見る

    開催期間: 2008年05月   記述言語:日本語  

  • A Decision Method of Placement of Tactile Elements for Recognizing Tasks Executed by a Human Hand

    Kazuya Matsuo

    Proc. the 3rd Joint Workshop on Machine Perception and Robotics (MPR2007) 

     詳細を見る

    開催期間: 2007年11月   記述言語:英語  

  • 手作業認識のための接触センサ配置の決定手法

    松尾一矢

    第25回日本ロボット学会学術講演会 

     詳細を見る

    開催期間: 2007年09月   記述言語:日本語  

  • Support Vector Machineを用いた人の手作業の認識

    松尾一矢

    第24回日本ロボット学会学術講演会 

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    開催期間: 2006年09月   記述言語:日本語  

▼全件表示

工業所有権

  • 就寝者の心拍測定方法および心拍測定装置

    向井利春,松尾一矢,加藤陽,清水厚輝

     詳細を見る

    出願番号:2014-070207  出願日:2014年03月28日

    公開番号:2015-188698  公開日:2015年11月02日

学術関係受賞

  • 電気学会 優秀論文発表A賞

    電気学会   2014年03月

    松尾一矢, 向井利春, 加藤陽, 清水厚輝, 郭士傑

     詳細を見る

    受賞国:日本国

  • SI2013 優秀講演賞

    計測自動制御学会   2013年12月

    松尾一矢, 加藤陽, 清水厚輝, 郭士傑, 向井利春

     詳細を見る

    受賞国:日本国

  • IEEE Robotics and Automation Society (RAS) Japan Chapter Young Award

    IEEE Robotics and Automation Society   2008年05月

    Kazuya Matsuo, Kouji Murakami, Tsutomu Hasegawa, and Ryo Kurazume

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    受賞国:日本国

科研費獲得実績

  • 物体に対する拘束を基準とした把握分類

    研究課題番号:09J01865  2009年04月 - 2011年03月   特別研究員奨励費

     詳細を見る

    物体に対する拘束を基準とした把握分類

受託研究・共同研究実施実績

  • ベッド上に敷いた面状圧力センサによる生体信号計測に関する共同研究

    2015年10月 - 2018年09月

     詳細を見る

    研究区分:共同研究

その他競争的資金獲得実績

  • 国際交流助成(派遣)課題「The 7th IEEE International Conference on Sensors (IEEE Sensors 2008)」

    2008年06月 - 2008年12月

    (財)立石科学技術振興財団  

担当授業科目(学内)

  • 2023年度   データ分析特論

  • 2023年度   制御工学PBLⅡ

  • 2023年度   制御工学PBLⅠ

  • 2023年度   知能制御応用

  • 2023年度   電機基礎理論Ⅰ

  • 2022年度   制御系構成論Ⅰ演習

  • 2022年度   知能制御応用

  • 2022年度   制御工学PBLⅠ

  • 2022年度   制御工学PBLⅡ

  • 2022年度   制御工学PBLⅢ

  • 2022年度   データ分析特論

  • 2022年度   機械知能工学入門

     詳細を見る

    科目区分:学部専門科目

  • 2021年度   制御系構成論Ⅰ演習

  • 2021年度   知能制御応用

  • 2021年度   制御工学PBLⅢ

  • 2021年度   制御工学PBLⅡ

  • 2021年度   制御工学PBLⅠ

  • 2020年度   制御工学PBLⅡ

  • 2020年度   制御系構成論Ⅰ演習

  • 2020年度   制御工学PBLⅢ

  • 2020年度   制御工学PBLⅠ

  • 2020年度   知能制御応用

  • 2020年度   機械知能工学入門

  • 2019年度   制御系構成論Ⅰ演習

  • 2019年度   制御工学実験Ⅱ

  • 2019年度   知能制御応用

  • 2019年度   知能制御PBL

  • 2019年度   制御工学実験Ⅲ

  • 2019年度   制御工学PBLⅠ

  • 2018年度   制御工学実験Ⅱ

  • 2018年度   制御系構成論Ⅰ演習

  • 2018年度   制御工学実験Ⅲ

  • 2018年度   知能制御応用

  • 2018年度   知能制御PBL

  • 2018年度   制御工学実験Ⅰ

  • 2018年度   機械知能工学入門

  • 2017年度   制御系構成論Ⅰ演習

  • 2017年度   制御工学実験Ⅱ

  • 2017年度   知能制御応用

  • 2017年度   制御工学実験Ⅲ

  • 2017年度   制御工学実験Ⅰ

  • 2017年度   知能制御PBL

  • 2016年度   制御系構成論Ⅰ演習

  • 2016年度   制御工学実験Ⅱ

  • 2016年度   知能制御実験

  • 2016年度   知能制御応用

  • 2016年度   制御工学実験Ⅲ

  • 2016年度   制御工学実験Ⅰ

  • 2015年度   制御工学実験Ⅱ

  • 2015年度   知能制御実験

  • 2015年度   知能制御応用

  • 2015年度   制御工学実験Ⅲ

  • 2015年度   制御工学実験Ⅰ

▼全件表示

学会・委員会等活動

  • 計測自動制御学会 九州支部 第53期 運営委員会   会計幹事  

    2023年04月 - 2025年03月

  • 電気学会(C部門)制御技術委員会 ヒューマンサポートシステムのための情報・制御調査専門委員会   委員  

    2022年07月 - 2024年06月

  • 電気学会(C部門)制御技術委員会 人間中心型システムのための情報・制御調査専門委員会   委員  

    2020年07月 - 2022年06月

  • 電気学会(C部門) 制御技術委員会 人間支援システムのための情報・制御調査専門委員会   委員  

    2018年04月 - 2020年03月

  • 日本機械学会 ロボティクス・メカトロニクス部門 第95期運営委員会   委員  

    2017年04月 - 2019年03月

  • 電気学会(C部門) 制御技術委員会 安心・安全な人と機械のための情報・制御技術調査専門委員会   委員  

    2016年03月 - 2018年02月

  • 電気学会(C部門) 制御技術委員会 人と機械をつなぐ情報・制御技術調査専門委員会   委員  

    2014年03月 - 2016年02月

▼全件表示