Predicting children’s energy expenditure during physical activity using deep learning and wearable sensor data

Keyphrases

• Childrens 100%
• Physical Activity 100%
• Energy Expenditure 100%
• Deep Learning 100%
• Wearable Data 100%
• Machine Learning Models 100%
• Ankle 60%
• Metabolic Equivalent 60%
• Wrist 60%
• Lego 40%
• Equivalent Value 40%
• Accelerometer 20%
• Physical Activity Level 20%
• Football 20%
• Performance Prediction 20%
• Slow Walking 20%
• GENEActiv 20%
• Accelerometer Data 20%
• Accelerometery 20%
• Novel Machine 20%
• Calorimetry 20%
• Physical Activity Data 20%
• Sensor Placement 20%
• Triaxial 20%
• Overarm Throwing 20%
• Stationary Cycling 20%
• Instep 20%
• Non-dominant Wrist 20%
• Predictive Models 20%
• Breath-by-breath 20%

Nursing and Health Professions

• Accelerometer 100%
• Wearables 100%
• Calorimetry 50%