TransfHAR: Self-Supervised Wrist Representations for On-Demand Activity Recognition
TransfHAR is implemented as a real-time smartwatch application that lets users define and expand their own activity set for personalized recognition from only a few demonstrations, and indicates that broad self-supervised wrist pretraining provides an effective foundation for on-demand fine-grained activity recognition.
Aidan Bradshaw, Riku Arakawa, Xin Liu et al.
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