Updated on 2024/04/18

写真a

 
LIN, Jia-Yeu
 
Affiliation
Faculty of Science and Engineering, Global Center for Science and Engineering
Job title
Assistant Professor(non-tenure-track)
Degree
Ph.D. in Engineering ( 2021.03 Waseda University )

Research Experience

  • 2021.04
    -
    Now

    早稲田大学 理工学術院 助教

  • 2019.04
    -
    Now

    東京デザインテクノロジーセンター専門学校 ロボット専攻 非常勤講師

Education Background

  • 2018.04
    -
    2021.03

    Waseda University   Graduate School of Advanced Science and Engineering   Department of Integrative Bioscience and Biomedical Engineering  

  • 2016.04
    -
    2018.03

    Waseda University   Graduate School of Advanced Science and Engineering   Department of Integrative Bioscience and Biomedical Engineering  

  • 2011.09
    -
    2016.01

    National Taiwan University   Department of Physics  

Research Interests

  • ヒューマンインタフェース

  • 知能機械システム

  • ロボティクス

 

Papers

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Misc

  • ネックホルダーを使用した人間型サキソフォン演奏ロボットの開発-現行指部の改良と再検証-

    水上和彦, 内山純, 山田晃久, 馬翊翔, 韓衍, 林家宇, コセンティノ・サラ, 高西淳夫

    日本ロボット学会学術講演会予稿集(CD-ROM)   38th  2020

    J-GLOBAL

  • 人間型サクソフォン演奏ロボットの開発-音圧範囲の拡大を目指した新型首部機構の設計・製作-

    山田晃久, 馬翊翔, 韓衍, 西尾祐哉, 内山純, 林家宇, 高西淳夫, コセンティノ・サラ

    日本ロボット学会学術講演会予稿集(CD-ROM)   37th  2019.09

    J-GLOBAL

  • 人間形サキソフォン演奏ロボットの開発-腕と手首を用いる運指の評価-

    西尾祐哉, 松木慧, 河合雅央, 林家宇, セッサ サルバトーレ, コセンティノ サラ, 上山景子, 高西 淳夫

    日本ロボット学会学術講演会予稿集(CD-ROM)   35th  2017.09

  • Audience mood estimation for the Waseda Anthropomorphic Saxophonist 5 (WAS-5) using cloud cognitive services

    Estelle I. S. Randria, Sarah Cosentino, Jia-Yeu Lin, Thomas Pellegrini, Salvatore Sessa, Atsuo Takanishi

      35th  2017.09

 

Syllabus

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Internal Special Research Projects

  • Development of multi-sensory feedback system for interactive exploration of the virtual-reality

    2023  

     View Summary

    Our research of this year have accomplish the following task:1) Propose multi-sensory feedback system architecture, including haptic feedback devices, audio systems, and scent dispensers.2) Software development, including integration with VR platforms and programming of sensory stimuli.

  • Develop of instrumental ensemble system on musical robots for human-robot musical interaction

    2022  

     View Summary

    Our research is to Model the behaviors of human musicians ina quantified approach to understand the mechanisms of playing instruments andreproduce them on musical robots to realize bidirectional musical human-robotinteraction.The system is developed based on the following two parts:(1) Musical expression system with psychoacoustic elementsfor interactive performance on a anthropomorphic saxophonist robot(2) A conductor robot performs conducting gestures andalgorithm to generate commands base on the auditory information

  • Development of a conductor robot for effective emotional human-robot musical interaction

    2022  

     View Summary

    Our research is to Model the behaviors of human musicians and conductor in a quantified approach to understand the mechanisms of exchanging musical information and reproduce them on musical robots to realize bidirectional musical human-robot interaction.The system is developed based on the following two parts:(1) Musical expression system with psychoacoustic elementsfor interactive performance on a anthropomorphic saxophonist robot(2) A conductor robot performs conducting gestures andalgorithm to generate commands base on the auditory information

  • Develop of anthropomorphic saxophonist robot performance system for human-robot musical interaction

    2021  

     View Summary

    Music is a social activity that can powerfully influence large groups of people. In the robotics field, several musical robots have been developed to play different kinds of instruments in order to provide entertainment experience comparable to human musicians. In this research, we aimed to model and reproduce human’s behavior of playing the instrument on the Waseda Anthropomorphic Saxophonist (WAS) robot, and build an interactive system for bidirectional musical human-robot interaction. During a high-quality musical performance, techniques like dynamics are used to give extra expressions to the music for emotional interaction. Since the WAS robot has been developed to play a typical alto saxophone with mechanisms similar to human players, we reproduce human’s behavior of playing the instrument by modeling musician’s motions. The system will be based on the following two parts for delivering expressive performance and analysis the emotional instructions from the music pieces.