November 18, 2017

iSTOPPFALLS – ICT based System to Predict & Prevent Falls

iSTOPPFALLS – ICT based System to Predict & Prevent Falls

ISTOPPFALLS

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 exercise training and fall risk
assessment based on discrete measuring technologies and adaptive assistance functions. The Senior Mobility Monitor (SMM) will continuously monitor mobility in daily life and will provide
quantitative information on frequency, duration and type of mobility activities and qualitative information
on balance function and muscle power. Our MS Kinect based fall preventive exercise training program (Exergame) will facilitate home-based falls
preventative exercises, whereby data is acquired by unobtrusive sensing together with biomechanical
modeling and optional heart rate data assessment. A knowledge based system for fall prediction & prevention correlates these two sources of mobility information (SMM & Exergame), and in turn provides sufficient data to perform a trend analysis of these entities.

  • Contact person: Rainer Wieching rainer.wieching@uni-siegen.de

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