WiFi2Cap: Semantic Action Captioning from Wi-Fi CSI via Limb-Level Semantic Alignment
Privacy-preserving semantic understanding of human activities is important for indoor sensing, yet existing Wi-Fi CSI-based systems mainly focus on pose estimation or predefined action classification rather than fine-grained language generation. Mapping CSI to natural-language descriptions remains challenging because of the semantic gap between wireless signals and language and direction-sensitive ambiguities such as left/right limb confusion. We propose WiFi2Cap, a three-stage framework for gen
Record details
Published: 24 March 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Privacy
Retrieved: 14 July 2026
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ethics.ai (24 March 2026), “WiFi2Cap: Semantic Action Captioning from Wi-Fi CSI via Limb-Level Semantic Alignment,” evidence record 6832, https://ethics.ai/record/6832 (originally published by arXiv).
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