{"slug": "zero-fi-zero-shot-wi-fi-based-human-activity-recognition-via-contrastive-signal", "title": "Zero-Fi: Zero-Shot Wi-Fi-Based Human Activity Recognition via Contrastive Signal-Language Alignment", "summary": "Researchers propose Zero-Fi, a contrastive signal-language alignment framework that enables zero-shot Wi-Fi-based human activity recognition by aligning Wi-Fi signal features with natural-language activity descriptions in a shared embedding space, eliminating the need for labeled samples for new activity classes. Experiments on large-scale public benchmarks show effective recognition of held-out activity classes, extending Wi-Fi sensing beyond predefined categories.", "body_md": "arXiv:2607.26381v1 Announce Type: new\nAbstract: Wi-Fi-based human activity recognition has advanced substantially, but most existing methods assume a closed set of activities and require labeled Wi-Fi samples for every target class, limiting their ability to recognize unseen activities. We present Zero-Fi, a contrastive signal-language alignment framework for zero-shot Wi-Fi-based human activity recognition. Zero-Fi learns unified representations from complementary Wi-Fi signal features and aligns them with the semantic representations of natural-language activity descriptions in a shared embedding space. This cross-modal alignment enables Zero-Fi to recognize new activity classes without requiring labeled Wi-Fi samples or model adaptation for those classes. Experiments on large-scale public benchmark datasets demonstrate effective zero-shot recognition of held-out activity classes, highlighting the potential of signal-language alignment to extend Wi-Fi sensing beyond predefined activity classes.", "url": "https://wpnews.pro/news/zero-fi-zero-shot-wi-fi-based-human-activity-recognition-via-contrastive-signal", "canonical_source": "https://arxiv.org/abs/2607.26381", "published_at": "2026-07-30 04:00:00+00:00", "updated_at": "2026-07-30 04:34:42.121714+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "computer-vision", "natural-language-processing"], "entities": ["Zero-Fi"], "alternates": {"html": "https://wpnews.pro/news/zero-fi-zero-shot-wi-fi-based-human-activity-recognition-via-contrastive-signal", "markdown": "https://wpnews.pro/news/zero-fi-zero-shot-wi-fi-based-human-activity-recognition-via-contrastive-signal.md", "text": "https://wpnews.pro/news/zero-fi-zero-shot-wi-fi-based-human-activity-recognition-via-contrastive-signal.txt", "jsonld": "https://wpnews.pro/news/zero-fi-zero-shot-wi-fi-based-human-activity-recognition-via-contrastive-signal.jsonld"}}