health
20-person preprint explores wearable signals for heat monitoring
An ETH Zurich preprint used physiological and environmental signals from 20 participants to distinguish ambient temperature, humidity and physical exertion with 94.7% Random Forest accuracy. The exploratory study is an early step toward person-centred heat monitoring and requires testing in real-world settings.