With funding from Innosuisse and in cooperation with Sensopro AG, we are working to further improve the Sensopro coordination training device by adding a sensor system that provides real-time, movement-based feedback with the goal of improving training quality and progress. When training on the Sensopro, individuals are asked to perform whole-body movements that challenge coordination; meanwhile, balance is also challenged by standing on two suspended tapes (see video). This type of exercise has proven particularly effective in improving stability parameters in older adults (Dunsky, 2019). For the present project, motion data will be collected with two inertial sensors attached under each tape. These sensors will provide real-time data that will be further analyzed and displayed on the integrated video screen. A central component of the project – in addition to sensor integration – is the development of algorithms that convert the sensor data into understandable and performance-relevant feedback. Therefore, in order to develop, validate and optimize these data-based algorithms, cross-sectional and longitudinal studies are currently underway; specifically, examining the movement patterns of the tapes in relation to whole-body movements, as recorded by three-dimensional marker-based motion capture systems.
