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cs.LG2026
TransfHAR: Self-Supervised Wrist Representations for On-Demand Activity Recognition
Aidan Bradshaw, Riku Arakawa, Xin Liu +1
Fine-grained wrist activity recognition can support applications such as procedural step guidance and context-aware assistance, yet acquiring labeled data for every new task, user,…
cs.LG2020★ 4 cited
Exploration of Reinforcement Learning for Event Camera using Car-like Robots
Riku Arakawa, Shintaro Shiba
We demonstrate the first reinforcement-learning application for robots equipped with an event camera. Because of the considerably lower latency of the event camera, it is possible…