P2‐288: MEASURING GAIT CHARACTERISTICS OF INDUCED DISORIENTATION IN A VR ENVIRONMENT

• DOI: 10.1016/j.jalz.2018.06.977
• Publication Date: 2018-10-22T09:29:32Z
• Authors: Sarah Weschke; Stefan Lüdtke; Samer Schaat; Martin Gube; Matthias Weippert; Sven Bruhn; Thomas Kirste; Stefan J. Teipel
• Keywords: 03 medical and health sciences; 0302 clinical medicine

Problems in wayfinding and spatial orientation are early symptoms of MCI dementia. These deficits decrease mobility which again leads to further cognitive decline. In a field study (SiNDeM) we developed pattern recognition model disorientated behavior based on accelerometric data. There is growing evidence that impaired functioning associated with changes gait performance, e.g. variability, measured dual-task walking conditions. Gait performance during these conditions also predictor falls old adults. But it questionable if phases disorientation affect parameters. We aim assess parameters addition data by using the GRAIL (Gait Real-Time Analysis Interactive Lab). implemented 3D environment familiar city center into combines fully instrumented treadmill synchronized VR environment. It allows us analyze simultaneous motion capture measure addition, record for comparability our study. first phase young healthy adults will participate. Phases be induced changing virtual First, usability acceptance tested since was originally not constructed behavior. pursue participatory approach improve navigation control. Results show induction participants successful this reflected compare patterns results gained SiNDeM. The controlled save environment, so paradigm suitable patients. future planned include persons enable automatic detection This necessary development situation-aware assistive system supports dementia autonomous outdoor activities daily living.