Accurate measurement of energy expenditure during adolescent physical activities is fundamental for evaluating exercise intensity, scientifically developing exercise prescriptions, and monitoring physical health status. With increasing national attention to adolescent physical fitness, the demand for scientific monitoring of students' energy expenditure in physical activities has become increasingly urgent. This paper systematically reviews current mainstream energy expenditure measurement methods, including the doubly labeled water method, indirect calorimetry, heart rate monitoring, motion sensor methods, and physical activity questionnaires, analyzing the principles, characteristics, and limitations of each method when applied to adolescent physical activities. On this basis, the paper focuses on emerging technological directions for energy expenditure measurement, particularly non-contact measurement methods based on computer vision and deep learning-based energy expenditure prediction models. The review reveals that traditional measurement methods generally face challenges in adolescent physical education settings, including high cost, cumbersome operation, and interference from wearable devices with normal physical movement, whereas non-contact measurement methods show promise in overcoming these limitations. Finally, this paper provides an outlook on future research directions for energy expenditure measurement methods in adolescent physical activities.
Research Article
Open Access