Energy Expenditure

Energy expenditure research focuses on accurately measuring and predicting the amount of energy the body uses during physical activity. Current research employs diverse approaches, including sophisticated deep learning models (like kernel-based calibration methods) for improved accuracy in estimating energy expenditure from various data sources, such as video and smartphone sensor data. This field is crucial for understanding the relationship between physical activity, health outcomes, and environmental factors, with applications ranging from personalized fitness recommendations to managing respiratory conditions. The development of robust and generalizable models is a key focus, particularly addressing the challenge of accurately predicting energy expenditure for novel activities.