Anomaly detection in facial skin temperature using variational autoencoder

• Published in: Artificial life and robotics Vol. 26; no. 1; pp. 122 - 128
• Main Authors: Masaki, Ayaka, Nagumo, Kent, Lamsal, Bikash, Oiwa, Kosuke, Nozawa, Akio
• Format: Journal Article
• Language: English
• Published: Tokyo Springer Japan 01.02.2021; Springer Nature B.V
• Subjects: Anomalies; Artificial Intelligence; Autonomic nervous system; Biomarkers; Blood flow; Computation by Abstract Devices; Computer Science; Control; Infrared imaging; Mechatronics; Original Article; Physiology; Psychological stress; Robotics; Skin temperature; Temperature; Thermography; Infrared thermography; Deep learning; Variational autoencoder; Facial skin temperature; Thermal face image; Anomaly detection

Facial skin temperature is a physiological index that varies with skin blood flow controlled by autonomic nervous system activity. The facial skin temperature can be remotely measured using infrared thermography, and it has recently attracted attention as a remote biomarker. For example, studies hav...