Vital Sign Detection in Vehicle Environment using Deep Learning
Dnr:
NAISS 2025/22-302
Type:
NAISS Small Compute
Principal Investigator:
Tayssir Bouraffa
Affiliation:
Chalmers tekniska högskola
Start Date:
2025-03-01
End Date:
2026-03-01
Primary Classification:
10207: Computer graphics and computer vision (System engineering aspects at 20208)
Webpage:
Allocation
Abstract
A camera-based intelligent approach will be developed that can detect vital signs, including heart rate (HR), respiration rate (RR), blood pressure (BP), and blood oxygen saturation (SpO2), which are helpful to determine the driver´s health status.