KATO Ryu

Affiliation

Faculty of Engineering, Division of Systems Research

Job Title

Associate Professor

Mail Address

E-mail address



写真a

Graduating School 【 display / non-display

  • 1994.04
    -
    1999.03

    Asahikawa National College of Technology     Graduated

Graduate School 【 display / non-display

  • 2005.04
    -
    2008.03

    The University of Tokyo  Graduate School, Division of Engineering  Doctor Course  Accomplished credits for doctoral program

  • 2003.04
    -
    2005.03

    Hokkaido University  Graduate School, Division of Engineering  Doctor Course  Unfinished course

  • 2001.04
    -
    2003.03

    Hokkaido University  Graduate School, Division of Engineering  Master Course  Completed

Degree 【 display / non-display

  • Doctor of Engineering -  The University of Tokyo

Campus Career 【 display / non-display

  • 2014.04
    -
    Now

    Duty   Yokohama National UniversityFaculty of Engineering   Division of Systems Research   Associate Professor  

  • 2021.04
    -
    Now

    Concurrently   Yokohama National UniversityInterfaculty Graduate School of Innovative and Practical Studies   Associate Professor  

  • 2018.04
    -
    Now

    Concurrently   Yokohama National UniversityGraduate school of Engineering Science   Department of Mechanical Engineering, Materials Science and Ocean Engineering   Associate Professor  

  • 2017.04
    -
    Now

    Concurrently   Yokohama National UniversityCollege of Engineering Science   Department of Mechanical Engineering, Materials Science and Ocean Engineering   Associate Professor  

  • 2014.04
    -
    Now

    Concurrently   Yokohama National UniversityGraduate School of Engineering   Department of Systems Integration   Associate Professor  

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External Career 【 display / non-display

  • 2009.10
    -
    2014.03

      Assistant Professor  

  • 2004.04
    -
    2005.03

      Research Fellowship for Young Scientists of the Japan Society for the Promotion of Science  

Field of expertise (Grants-in-aid for Scientific Research classification) 【 display / non-display

  • Rehabilitation science/Welfare engineering

  • Intelligent mechanics/Mechanical systems

 

Books 【 display / non-display

  • Augmented Human

    (Part: Contributor )

    2018.01 ISBN: 9784860435158

  • Advances in Therapeutic Engineering

    Hiroshi Yokoi, Keita Sato, Soichiro Morishita, Tatsuhiro Nakamura, Ryu Kato,Tatsuya Umeda, Hidenori Watanabe,Yukio Nishimura and Tadashi Isa, Katsunori Ikoma, Tamaki Miyamoto,Osamu Yamamura (Part: Joint Work , Range: Chapter 10: fMRI analysis of prosthetic hand rehabilitation using a brain-machine interface )

    CRC Press  2012.12 ISBN: 9781439871737

  • Technological Advancements in Biomedicine for Healthcare Applications

    Hiroshi Yokoi, Ryu Kato, Takashi Mori, Osamu Yamamura and Masafumi Kubota (Part: Joint Work , Range: Chapter 19 Functional Electrical Stimulation Based on Interference-Driven PWM Signals for Neuro-Rehabilitation )

    IGI Global  2012.10 ISBN: 1466621966

  • Advances in Robot Manipulators

    Jeffrey Too Chuan Tan, Feng Duan, Ryu Kato and Tamio Arai (Part: Joint Work , Range: Chapter6: Collaboration Planning by Task Analysis in Human-Robot Collaborative Manufacturing System )

    INTECH  2010.04 ISBN: 978-953-307-070-4

Thesis for a degree 【 display / non-display

  • A Study on Human-embedded EMG Based Control System

    加藤 龍 

      2003.03

    Master Thesis   Single Work

     View Summary

    北海道大学大学院 工学研究科 システム情報工学専攻 本論文は,人間の運動機能を補助する知的な運動補助装置において,人間をもシステムの一部として捉え,人間が装置に習熟し,装置は人間に適応するような相互適応系としてシステム設計を行う研究に関する論文である.予め取得した動作特有の筋電信号から動作判別能力を情報エントロピーで定量化し,その変化に応じて,動作教示の必要性を判定する方法論を提案し,相互適応システムへの適用可能性を示した.

Papers 【 display / non-display

  • Working Memory Accuracy Micro-controlled through a Tablet Pen

    Takita Masatoshi, Kato Ryu, Yokoi Hiroshi

    IEEJ Transactions on Electronics, Information and Systems ( The Institute of Electrical Engineers of Japan )  140 ( 5 )   502 - 507   2020.05  [Refereed]

    Joint Work

     View Summary

    <p>In this study, visual working memory was assessed using nonverbal "accuracy," in contrast to typical memory research, which is usually based on "right/wrong" answers. We analyzed the relationship between dynamic control of pen-use and pointing accuracy using a tablet liquid crystal device (LCD). Healthy participants held a pen equipped with a triaxial accelerometer in each hand. Using the dominant hand, they targeted a point at the center of a "diamond" formed by the intersection of two 4×1 cm rectangles tilted 45° to the left and right, respectively. The rectangles were quasi-randomly displayed at various locations on the LCD with time lags. The working memory accuracy was defined as the standard deviation of the distance between the absolute and surmised centers. The evident result indicated that the pen-dynamics (4-100 Hz) of the dominant hand started to increase for action readiness then decayed for the last 3 s during a 4-s interval (waiting period). Furthermore, the ability to sustain power for 100-200 Hz correlated with decrease of pointing deviation (i.e., increased working memory accuracy). We also discuss the relationship between our results and other memory theories, including those derived from rodent studies.</p>

    DOI CiNii

  • EMG-based posture classification using a convolutional neural network for a myoelectric hand

    Yusuke Yamanoi, Yosuke Ogiri, Ryu Kato

    Biomedical Signal Processing and Control ( Science Direct )  Vol.55   2019.09  [Refereed]

    Joint Work

    DOI

  • Development a Myoelectric Prosthetic Hand for Partial Hand Amputees to Use Successfully Remaining Finger -Proposal of the Design Method for Mechanical System and Control System and Prototype -

    MURAI Yuta, YABUKI Yoshiko, ISHIHARA Masahiro, TAKAGI Takehiko, TAKAYAMA Shinichiro, TOGO Shunta, K … Show more authors

    Journal of the Society of Biomechanisms ( Society of Biomechanisms )  43 ( 2 )   124 - 133   2019.06  [Refereed]

    Joint Work

     View Summary

    In this paper, we proposed the design method of myoelectric prosthetic hand for partial hand amputees to substitute function of the movement of the disarticulating finger and to utilize a function of the movement of remaining fingers. Problems for designing myoelectric prosthetic hand for partial hand amputees exists in mechanical system design and control system design. In the problem of mechanical system design, a socket is designed so as to fit a shape of amputation stump, and a grasping mechanics is contained within an appearance of healthy hand shape by using measured 3D data of healthy hand based on the framework of digital engineering. The control system is designed to extract the only electromyogram related to moving the disarticulating finger from measured all electromyogram by using the neural network, and electromyogram has been successfully applied to control a motorized hand. Next, we prototyped myoelectric prosthetic hand with the proposed design method. Finally, availability of grasping and manipulation of the prototype was evaluated and contained by using the Pick-and-place experiment.

    DOI CiNii

  • Selective motor fascicle transfer and neural-machine interface: case report

    Takehiko Takagi,Yosuke Ogiri,Ryu Kato,Mitsuhiko Kodama,Yusuke Yamanoi,Wataru Nishino,Yoshihisa Masa … Show more authors

    Journal of Neurosurgery     2019.02  [Refereed]

    Joint Work

    DOI

  • Development of new cosmetic gloves for myoelectric prosthetic hand using superelastic rubber

    Yoshiko Yabuki,Kazumasa Tanahashi,Yasuhiro Mouri,Yuta Murai,Shunta Togo,Ryu Kato,Yinlai Jiang,Hiros … Show more authors

    Robotics and Autonomous Systems   111   31 - 43   2019.01  [Refereed]

    Joint Work

    DOI

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Academic Awards Received 【 display / non-display

  • Kazuo Tanie Award

    2017.08.31   IEEE   Development of an Upper Limb Neuroprosthesis to Voluntarily Control Elbow and Hand

    Winner: Yosuke Ogiri,Yusuke Yamanoi, Wataru Nishino, Ryu Kato, Takehiko Takagi, Hiroshi Yokoi

     View Summary

    http://www.ro-man2017.org/site/node/32.html

Grant-in-Aid for Scientific Research 【 display / non-display

  • Grant-in-Aid for Scientific Research(B)

    Project Year: 2015.04  -  2018.03 

  • Grant-in-Aid for Young Scientists(B)

    Project Year: 2013.04  -  2015.03 

  • Grant-in-Aid for Young Scientists(B)

    Project Year: 2009.04  -  2011.03 

Presentations 【 display / non-display

  • Development of five-finger robotic hand using master-slave control for hand-assisted laparoscopic surgery

    Koki Yoshida, Hiroshi Yamada, Ryu Kato, Tatsuya Seki, Hiroshi Yokoi and Masaya Mukai

    38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society(EMBC2016)  (Orlando, FL, USA )  2016.08.16  

  • Development of new Cosmetic Gloves for Myoelectric Prosthetic Hand by using Thermoplastic Styrene Elastomer

    Yoshiko Yabuki, Kazumasa Tanahashi, Suguru Hoshikawa, Tatsuhiro Nakamura, Ryu Kato

    The 14th International Conference on Intelligent Autonomous Systems  (Shanghai, China )  2016.07.03  

  • The cortical adaptation monitoring system for leg press machine with FES induced biofeedback

    Misato Kasuya, Mai Nozakura, Soichiro Morishita, Yinlai Jiang, Masao Sugi, Hiroshi Yokoi, Ryu Kat

    XXI ISEK(International Society of Electrophysiology and Kinesiology) CONGRESS(ISEK2016)  (Chicago USA)  2016.07  

  • Bran-muscle Interface: controlling a prosthetic hand

    Ryu Kato

    XXI ISEK(International Society of Electrophysiology and Kinesiology) CONGRESS(ISEK2016)  (Chicago USA)  2016.07  

  • Investigation of a Cognitive Strain on Hand Grasping Induced by Sensory Feedback for Myoelectric Hand

    Hiroshi Yamada, Yusuke Yamanoi, Ko Wakita and Ryu Kato

    International Conference of Robotics and Automation 2016(ICRA2016)  (Stockholm, Sweden)  2016.05.16  

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