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Robust and Equitable Non-Contact Health Sensing

Abstract

Contactless vital sensing is gaining prominence with applications in disease control, health monitoring, and medicine; airports are beginning to use infrared thermometers to screen for fevers, automobile companies are researching how cars can wirelessly detect drowsy drivers, and the medical field is exploring the benefits of how cameras can be used to remotely monitor neonates or detect diseases such as atrial fibrillation or sleep apnea. However, prior research to a large extent has not explored when remote vital sensing methods fail and if they may be disadvantageous to certain physiologies more than others such as age, weight, or gender. New methods in the field should strive to determine the impact of these variables as well as rectify inaccuracies in sensing that may occur if possible. This work explores how skin tone can adversely impact heart-rate detection with cameras and temperature evaluation with thermal cameras. Multimodal fusion and algorithmic techniques are proposed to improve skin tone equity while improving performance of contactless vital sensing methods.

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