Sensori Model Presented for Health from Wrist Movement

Tanishq Mathew Abraham posted about an arXiv paper titled Learning Human Health and Diseases from 24-hour Wrist Movement. The post describes Sensori, a self-supervised foundation model that learns general-purpose health representations from 24 hours of raw tri-axial wrist movement. The work draws on a dataset of 122,640 participants contributing 683,617 person-days of free-living recordings. Abraham, listed as founder and PhD holder, is CEO of SophontAI and posted the update with an attached screenshot of the paper.