Our research projects include both basic and applied research at the intersection of health, social care, and digital technologies.
Projects
EyeQTrack - Quantitative Eye-Tracking Analytics for Adaptive XR Training & Rehabilitation in Healthcare
A self-adaptive eXtended reality environment for training and therapeutic purposes.
DeepForce XAI
Towards Clinically Applicable Musculoskeletal Models using Explainable Machine Learning Methods.
Applied Biomechanics in Rehabilitation Research
Endowed professorship of the province of Lower Austria to strengthen and expand the research focus on motor rehabilitation
ULTRASKEL3D
Ultrasound-Based Skeletal 3D scans for Personalized Musculoskeletal Modelling.
3WinPA
Socio-technical solution for a healthy and climate-competent life of nursing relatives in caring communities.
deepForce - Pushing the limits of rapid estimation of knee joint contact force estimation in clinical gait analysis by Machine and Deep Learning
Machine learning methods to enable more clinicians to use data obtained by gait analyses for diagnosis.
Smart Companion 2
Equipping devices for everyday use with voice interaction, fall detection and alerts as support in cases of emergency.
O3DGA – The Use of Machine Learning as a Supportive Measure in Clinical Three-Dimensional Gait Analysis
Optimisation of time-consuming and error-prone processes in three-dimensional gait analysis.
UASHome - DIGIHealth UASHome Incubators Boost Programme
Promoting University of Applied Sciences as innovation and entrepreneurship centres for Digital Health
VeRgonomiX III
Education and training of ergonomics in health and safety.
Sonigait II InnoScheck
Assessing whether a sensor-equipped insole for detecting changes in gait patterns can be used for preventive therapeutic purposes.
ELSA- Evaluation of simple gait analysis devices
Evaluation of the effectiveness of rehabilitation measures after reconstruction of the anterior cruciate ligament using simplified gait analysis