AI RESEARCH
CARE: Contrastive Alignment for ADL Recognition from Event-Triggered Sensor Streams
arXiv CS.AI
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ArXi:2510.16988v3 Announce Type: replace-cross The recognition of Activities of Daily Living (ADLs) from event-triggered ambient sensors is an essential task in Ambient Assisted Living, yet existing methods remain constrained by representation-level limitations. Sequence-based approaches preserve temporal order of sensor activations but are sensitive to noise and lack spatial awareness, while image-based approaches capture global patterns and implicit spatial correlations but compress fine-grained temporal dynamics and distort sensor layouts.