VitalLens: Take A Vital Selfie

arXiv:2312.06892v3 Announce Type: replace
Abstract: This report introduces VitalLens, an app that estimates vital signs such as heart rate and respiration rate from selfie video in real time. VitalLens uses a computer vision model trained on a diverse dataset of video and physiological sensor data. We benchmark performance on several diverse datasets, including VV-Medium, which consists of 289 unique participants. VitalLens outperforms several existing methods including POS and MTTS-CAN on all datasets while maintaining a fast inference speed. On VV-Medium, …

abstract app arxiv benchmark computer computer vision cs.cv cs.hc data dataset datasets diverse medium performance rate report selfie sensor type video vision vital