Projects
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.
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.
Applied Biomechanics in Rehabilitation Research
Endowed professorship of the province of Lower Austria to strengthen and expand the research focus on motor rehabilitation
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
IntelliGait 3D- Gait Data Mining
Establishing advanced analysis methods for modelling, classification and similarity retrieval of gait patterns to enable novel data-driven ways to access 3D gait databases
HIPstar
Evaluation of the accuracy of non-invasive hip joint centre estimation methods for clinical gait analysis in children and adolescents
ReMoCap-Lab
The „Laboratory for Capturing Motion and Augmenting Environment in Motor Rehabilitation“ will enable innovative projects and excellent research in Austria
AVATAR
Augmented and virtual reality to support prosthetic rehabilitation
SONIGAIT II
Using a sensor-equipped insole to detect changes in gait pattern of elderly people for preventive therapeutic use
VeRgonomiX: virtual reality in ergonomics
Using Virtual Reality for the ergonomic workplace design as well as for consulting and training about ergonomic work processes
IntelliGait – Intelligent Gait Analysis
Automatic gait pattern analysis for robust classification of functional deficits. Intelligait aims at developing automated methods to analyze and classify gait patterns.
Evaluating technical measuring accuracy
Evaluating the technical measuring accuracy of a 3D monitoring system for the continuous tracking of lumbar spine movements
Reliability of a monitoring system
Reliability of a monitoring system for continuous tracking of sagittal lumbar spine movements
The Children's KNEEs Study
The aim of the Children’s KNEEs Study is to analyze altered biomechanical movement strategies in obese children during walking and stair climbing and to develop a specific training program for them.