565 citations · 861 across the 16 of their papers we have counts for
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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.HC2026★ 1 cited
HiFiGaze: Improving Eye Tracking Accuracy Using Screen Content Knowledge
Taejun Kim, Vimal Mollyn, Riku Arakawa +1
We present a new and accurate approach for gaze estimation on consumer computing devices. We take advantage of continued strides in the quality of user-facing cameras found in e.g.…