■ 専門分野及び関連分野
生体医工学, スポーツ科学, 農業環境工学、農業情報工学
|
|
■ 学歴・学位
1.
|
電気通信大学 情報理工学部 先端工学基礎課程 卒業
|
2.
|
電気通信大学大学院 情報理工学研究科 総合情報学専攻 博士前期課程 修了
|
3.
|
電気通信大学大学院 情報理工学研究科 情報学専攻 博士後期課程 修了
|
4.
|
電気通信大学 博士(工学)
|
|
■ 職歴
1.
|
2019/04~2021/03
|
電気通信大学 UECポスドク研究員
|
2.
|
2021/04~2023/03
|
法政大学 理工学部機械工学科 教育技術嘱託
|
3.
|
2023/04~
|
青山学院大学 理工学部 電気電子工学科 助手
|
|
■ 所属学会
|
■ 研究業績(著書・論文等)
|
■ 研究業績(学会発表)
1. |
2323/07 |
Relationship between sEMG amplitude and muscle fiber conduction velocity each short-term waveform with muscle fatigue(XXIX Congress of International Society of Biomechanics)
|
2. |
2023/07 |
Application of deep learning to develop intelligent drones flying in outdoor environments(Proceedings of the 2023 8th International Conference on Intelligent Information Technology)
|
3. |
2023/03 |
EEG Channel Optimization for Wireless BMI-based Robot Interaction for Internet of Robotic Things(2023 6th Conference on Cloud and Internet of Things)
|
4. |
2023/02 |
Combination of Reinforcement and Deep Learning for EEG Channel Optimization on Brain-Machine Interface Systems(2023 International Conference on Artificial Intelligence in Information and Communication)
|
5. |
2022/11 |
Vision based sidewalk recognition for walking assistive robot in outdoor environments(2022 IEEE International Symposium on Robotic and Sensors Environments)
|
6. |
2022/09 |
Autonomous drone for 3D map generation and goal directed navigation(16th International Conference on Innovative Computing, Information and Control)
|
7. |
2022/08 |
Effect of number of electrodes on gesture recognition: A robotic hand implementation(2022 JSME-IIP/ASME-ISPS Joint Conference on Micromechatronics for Information and Precision Equipment)
|
8. |
2022/01 |
Development of tactile pictograms focusing on the symbol to support the movement of blind visually impaired(AROB-ISBC-SWARM 2022)
|
9. |
2021/12 |
Deep Learning for Gesture Recognition based on Surface EMG Data(2021 International Conference on Advanced Mechatronic Systems)
|
10. |
2021/10 |
Recycling of printed circuit boards by robot manipulator: A Deep Learning Approach(2021 IEEE International Symposium on Robotic and Sensors Environments)
|
11. |
2021/07 |
Development of squat-exercise support system using kinect sensor for persons with intellectual disabilities(XXVIII Congress of the International Society of Biomechanics)
|
12. |
2021/07 |
Evaluation of muscle function by mechanomyography during dynamic contraction using microphone and accelerometer(XXVIII Congress of the International Society of Biomechanics)
|
13. |
2020/07 |
Effectiveness of Color and Shape Matching Learning in Figurenotes System Using Musical Instrument Software(International Conference on Human-Computer Interaction 2020)
|
14. |
2020/07 |
Evaluation of Musical Playing Ability of Children with Intellectual Disabilities by Using Keyboard-Playing-Software with the Figurenotes System(International Conference on Human-Computer Interaction 2020)
|
5件表示
|
全件表示(14件)
|
|