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Advisor(s)
Abstract(s)
Software solutions for stress detection have been emerging. Existing solutions still largely rely on supervised learning methods, requiring extremely large sets of labeled data for each situation. Stress assessment using video plethysmography is a recent method that needs further investigation. The room lighting conditions and the person’s movement have been identified as the main barriers to the software progression. Thus, it is necessary to build a laboratory pilot that will take into account these difficulties. We present an in-depth protocol on how to assess the reliability of a video facial recognition software on collecting physiological data (heart rate and blinking).
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Citation
Ferreira, S., Rodrigues, M., Campos, C., & Rocha, N. (2022). An unobtrusive stress detection software: Protocol design to assess the reliability of video plethysmography. Safety and Health at Work, 13, S309. https://doi.org/https://doi.org/10.1016/j.shaw.2021.12.1718
Publisher
Elsevier