Abstract: A method of evaluating a subject using a wearable sensor includes collecting raw data at the sensor indicating movement and/or characteristics, determining a physical location of the sensor on the body of the subject, and determining whether the physical location matches a primary location on the subject corresponding to a location at which training data are collected for training pre-trained models. When the physical location matches the primary location, the physical activity and posture of the subject are determined using the raw data collected at the sensor, in accordance with a selected model. When the physical location does not match the primary location, the raw data is mapped from the physical location to the primary location using a machine-learning based algorithm to provide mapped data, and the physical activity and posture of the subject are determined using the mapped data, in accordance with the selected model.