The understanding and measurement of physical behaviours that occur in everyday life are essential not only for determining their relationship with health, but also for interventions, physical activity monitoring/surveillance of the population and specific groups, drug development, and developing public health guidelines and messages. The collection of papers covers a wide range of topics, such as machine learning techniques, novel algorithms, and the use of wearable sensors in diverse populations, showcasing the growing potential of technology in this field. To improve this accuracy, new models need to be trained on free-living accelerometer data and include shorter prediction windows, temporal features, such as standard deviation, and multiple sensors. 36560353 10 Griffiths B., Silver N., Granat M.H., Lebel E. Measuring Foot Abduction Brace Wear Time Using a Single 3-Axis Accelerometer. [Extracted from the article]