Fellows
/Senior Distinguished
Researchers
/Distinguished
Researchers
- Distinguished Researcher
Arinobu Niijima
- NTT Human Informatics Laboratories
- Distinguished Researcher
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- Media＆UI
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Muscle Interface for Motor Skill Learning
Transferring the muscle activity of experts in playing sports or musical instruments to the muscles of novices to improve the efficiency of motor skill learning.
Human-Computer Interaction
In this page
Awards
- 2021 Best Poster Award, AugmentedHumans
- 2021 Cyber Space Research Award, VRSJ SIG-CS
- 2020 Outstanding Paper Award, IPSJ
etc.
Academic Activities
- VRSJ SIG-CS Steering Committee
- VRSJ SIG-SBR Steering Committee
- IPSJ DCON Editorial Board
Visiting Professor
- Part-time Lecturer, Meiji University
Publications
Papers
- Arinobu Niijima and Yuki Kubo. 2023. Assisting with Fingertip Force Control by Active Bio-Acoustic Sensing and Electrical Muscle Stimulation. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23). Association for Computing Machinery, New York, NY, USA, Article 743, 1-13. DOI:10.1145/3544548.3581192
- Arinobu Niijima, Toki Takeda, Ryosuke Aoki, and Shinji Miyahara. 2022. Muscle Synergies Learning with Electrical Muscle Stimulation for Playing the Piano. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (UIST '22). Association for Computing Machinery, New York, NY, USA, Article 54, 1-10. DOI:10.1145/3526113.3545666
- Arinobu Niijima, Toki Takeda, Kentaro Tanaka, Ryosuke Aoki, and Yukio Koike. 2021. Reducing Muscle Activity when Playing Tremolo by Using Electrical Muscle Stimulation to Learn Efficient Motor Skills. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5, 3, Article 123 (Sept 2021), 17 pages. DOI:10.1145/3478110
- Arinobu Niijima, Takashi Isezaki, Ryosuke Aoki, Tomoki Watanabe, and Tomohiro Yamada. 2018. Controlling Maximal Voluntary Contraction of the Upper Limb Muscles by Facial Electrical Stimulation. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). Association for Computing Machinery, New York, NY, USA, Paper 394, 1-7. DOI:10.1145/3173574.3173968
Keywords
Haptics, Electrical Muscle Stimulation, Electromyography, Cybernetics, Motor Learning