AI RESEARCH
ActivityNarrated: An Open-Ended Narrative Paradigm for Wearable Human Activity Understanding
arXiv CS.LG
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ArXi:2604.00767v1 Announce Type: new Wearable HAR has improved steadily, but most progress still relies on closed-set classification, which limits real-world use. In practice, human activity is open-ended, unscripted, personalized, and often compositional, unfolding as narratives rather than instances of fixed classes. We argue that addressing this gap does not require simply scaling datasets or models. It requires a fundamental shift in how wearable HAR is formulated, supervised, and evaluated.