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A NEW APPROACH FOR PERSONALIZED FALL RISK PREDICTION & PRE- VENTION: TAILORED EXERCISES, UNOBTRUSIVE SENSING & ADVANCED REASONING

In our ageing society, falls and their consequences cause tremendous problems as related to fractures, quality of life and health care costs. Due to the ongoing changes in the age structure of the population, this problem with all its consequences will further increase in the near future and innovative solutions to avoid falls in community dwelling older adults are urgently needed. The aim of iStoppFalls is to develop and implement ICT-based technologies which can be easily integrated in daily life practices of older people living at home, and which allow for continuous exercise training, reliable fall risk assessment, and appropriate feedback mechanisms, based on discreet measuring technologies and adaptive assistance functions. The Senior Mobility Monitor (SMM) as a component of the iStoppFalls system will unobtrusively and continuously monitor mobility in daily life. It will evaluate quantitative information on frequency, duration and type of mobility activities and qualitative information on balance function and muscle power. On the other hand, our Kinect based fall preventive exercise training game (Exergame) will facilitate real preventive exercise training at home (3 times a week), where data is acquired by unobtrusive sensing together with biomechanical modeling and optional heart rate data assessment. Our Knowledge Based System for Fall Prediction & Prevention correlates these two types of mobility analysis information (SMM & Exergame), and in turn provides sufficient data to perform a trend analysis of these entities, thus evidencing valid fall prediction & sustainable fall prevention in terms of tailored home based exercises for community-dwelling older adults. Our iTV component and the whole iStoppFalls system will be based on user-centered design and living-lab approaches, and thus provides advanced HCI adjusted to the capabilities of our elderly users (usability & accessibility).