Education & Research¶

Master of Informatics and Engineering

University of Electro-Communications · Department of Mechanical and Intelligent Systems Engineering · 2022-2025

Achievements

Our lab successfully commercialized a cyborg prosthetic hand with five independently controlled fingers and an adaptive learning function approved by the Ministry of Health, Labor and Welfare. This is the 2nd electric prosthetic hand covered by insurance in Japan, approved by the goverment, and made in Japan.

Research

Concentrations: Myoelectric Prosthesis Control, Neuroscience, Biomedical Engineering, Machine Learning, Software Development

Master's Thesis: Work in progress now

Publication List:

T. Tsujimoto et al., “MyoChallenge Manipulation Track: Deep RL for Musculoskeletal and Prosthesis Co-Manipulation,” poster presented at the MyoChallenge Workshop, 38th Annual Conference on Neural Information Processing Systems (NeurIPS2024), Vancouver Convention Center, Vancouver, BC, Canada, Dec. 10–15, 2024.
T. Tsujimoto et al., “A Training Method with 3D Feature Space Visualization for Pattern Recognition Controlled Myoelectric Prosthetic Hands,” in 12th International Conference on Robot Intelligence Technology and Applications (RiTA2024), Ulsan, Korea, Dec. 4–7, 2024.
T. Tsujimoto et al., “Latent Feature Space Feedback System for Pattern Recognition Myoelectric Prosthesis Manipulation Training,” poster presented at 6th Annual Conference of the Japanese Society for Regenerative Medicine and Rehabilitation (JSRMR2024), Saitama University, Saitama, Japan, Oct. 26, 2024.
T. Tsujimoto et al., “Development of a Training Method for Pattern Identification Control Type Myoelectric Prosthetic Hands Using Feature Space Display Functionality,” in 41st Annual Conference of the Robotics Society of Japan (RSJ2023), Sendai International Center, Sendai, Japan, Sept. 11–14, 2023. [link]
Y. Kuroda et al., “Development and Clinical Evaluation of a Five-Fingered Myoelectric Prosthetic Hand with Pattern Recognition,” in 2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech2022), Osaka, Japan, 2022, pp. 235–236, doi: 10.1109/LifeTech53646.2022.9754889. [link]

Patents:

H. Yokoi, K. Sakai, Y. Kuroda, K. Yabuki, Y. Yamanoi, and T. Tsujimoto, "Processing Program, Processing Device, and Robotic Operation System," Patent Application No. PCT/JP2024/032987, applied on Sep. 13, 2024, National University Corporation The University of Electro-Communications.
H. Yokoi, T. Tsujimoto, Y. Kuroda, K. Yabuki, and Y. Yamanoi, "Processing Program and Processing Device," Patent Application No. 2023-206349, applied on Dec. 6, 2023, National University Corporation The University of Electro-Communications.

Skills

C , C++ , Python , Qt , Linux , LaTeX , SourceTree , Bitbucket , Google Colab , Neural Network , Machine Learning , Biosignal Processing

Bachelor of Informatics and Engineering

University of Electro-Communications · Department of Advanced Robotics Program · 2020-2022

Awards

Elected Valedictorian at graduation and received the Meguro Association Award for the highest academic achievement amongst 686 students.

Research

I developed and proposed a novel approach to myoelectric prosthetic hand training by introducing real-time feature space visualization. By applying principal component analysis (PCA) to convert complex electromyography (EMG) data into an intuitive two-dimensional format, I enhanced the training experience for users, particularly novices. The core of my project involved developing an Android app for real-time, accessible feedback, leading to improved user proficiency and performance.

Skills

C , C++ , Python , MATLAB , Qt , Linux , LaTeX , SourceTree , Bitbucket , Google Colab , Neural Network , Machine Learning , Biosignal Processing

Bachelor of Mechanical Engineering

Shizuoka University · Department of Mechanical Engineering · 2018-2020

Skills

C , Arduino , Python , Weldering , Soldering , Signal Processing ,