{
  "id": 12980,
  "url": "https://arxiv.org/abs/2607.19796v1",
  "title": "Mammal: Supporting Breastfeeding Monitoring Through Computational Garments with Inter-Body Sensing",
  "summary": "Breastfeeding provides critical insight into infant feeding competence and physiological health, yet objective monitoring remains difficult due to the intimate and internal nature of feeding. We present Mammal, a caregiver-worn computational garment that unobtrusively monitors breastfeeding without attaching sensors to the infant. Mammal leverages inter-body signal transmission through natural mouth-to-breast contact to capture infant cardiac and feeding-related acoustic signals on the caregiver",
  "authors": "Yanfeng Zhao, Morgan Geck, Kate Fernandez, Madison Nicole Jones, Xia Zhou, Jessica L. Ridgway, Te-Yen Wu",
  "category": "research",
  "topics": "healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-22T06:21:00.000Z",
  "fetched_at": "2026-07-23T05:10:49.458Z",
  "source_slug": "x-arxiv-cs-hc",
  "source_name": "arXiv cs.HC",
  "source_homepage": "https://arxiv.org/list/cs.HC/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/12980",
  "original_url": "https://arxiv.org/abs/2607.19796v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}