Job Description: Developing machine-learning algorithms based on accelerometer data for assessment of energy expenditure, coordination skill and motoneuronal control in home healthcare applications. Physical activity is affected by health, and thus physical activity is an indicator of health status. Increasing age is accompanied by a decline in coordination and aerobic capacity. In this project, age associated changes as mentioned are studied by measuring patterns of objectively assessed physical activity and smoothness of typical activities like walking. Altered neural control disrupts the timing and muscle patterns necessary for smooth and regular stepping.