Description ISTOPPFALLS develops and implements ICT based technologies for fall prediction and prevention and integrates them in daily life practices of older people living at home. They allow for exercise training and fall risk assessment with discrete measuring technologies and adaptive assistance functions. The Senior Mobility Monitor (SMM) continuously monitors the mobility of the users. It provides quantitative information on frequency, duration and type of mobility activities and qualitative information on balance function and muscle power. The MS Kinect based fall preventive exercise training program will facilitate home-based preventative exercises, that also whereby data is acquired by unobtrusive sensing together with biomechanical modelling and optional heart rate data assessment. A knowledge based system for fall prediction & prevention correlates these two sources of mobility information and in turn provides sufficient data to perform a trend analysis of these entities. IStoppFalls will be based on an interactive TV solution with gesture & voice control, providing advanced human computer interaction which is adjusted to the capabilities of older adult users at home.