
DICOMO2024
6 Research Presentations and 1 Award at DICOMO2024 Symposium

Domestic Conference · 2024
Heat stroke occurs due to an increase in core body temperature, making its monitoring crucial for prevention. Core body temperature is typically measured by inserting a probe into the body, but this method is invasive and impractical during physical activity. While wearable sensor-based estimation methods have been proposed, challenges remain regarding sensor wearability and cost.
To address these issues, this study explores a non-contact and cost-effective approach to estimating core body temperature using thermography. We assume a scenario where a subject is positioned in front of a thermographic camera in a hot environment, capturing thermal images of the subject’s face during exercise. To improve estimation accuracy, we extract surface temperatures from different facial regions in the acquired thermal images and construct a core body temperature estimation model using machine learning.


Published Paper: