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寂隠
Jaku-in
2024
Member : Sotaro Yokoi, Kaishi Amitani, Natsuki Hamanishi, Jun Rekimoto
CONCEPT

When acquiring skills, it is crucial not only to mimic the movements of experts but also to understand the intentions behind them. This paper introduces a training system called 'Jaku-in.' This system uses depth cameras to record and visualize instructors' body movements in 3D, as well as tracking eye and hand movements. It enables learners to gain deeper insight into the intentions of experts.

CONTRIBUTION

As a research assistant, I was responsible for system implementation (Unity, C#, Python), technology selection, and paper writing.

Last Update: 2025.6.7

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