Bernhard Dumphart

Bernhard Dumphart, MSc, is a Junior Researcher at the Department of Health Sciences, University of Applied Sciences South East Austria. His work focuses on biomechanical analysis, particularly gait assessment, using machine learning and motion capture technologies. He is affiliated with the Institute of Health Sciences and contributes to study programs like Physiotherapy (BA).

Education: Holds degrees of Bakk. (Bachelors) and MSc. His research integrates clinical applications of virtual reality (VR) and smartphone-based markerless motion capture systems. He collaborates on projects such as PROGRESS, VReeze, and IntelliGait, aiming to improve tele-rehabilitation and gait classification algorithms.

Research Interests: Key areas include gait event detection, machine learning integration in biomechanics, VR effects on human movement, and motion capture technology validation. His studies explore clinical implications of clothing effects on motion capture accuracy and inter-trial variability in markerless systems.

Publications Trends: Recent work emphasizes algorithm validation for gait analysis, VR-induced biomechanical changes, and tele-rehabilitation solutions. Over 20 peer-reviewed articles (2018–2025) highlight his contributions to clinical biomechanics and technology-driven healthcare.

Grants & Labs: Involved in projects like O3DGA (machine learning in gait analysis) and SONIGAIT II. His team develops tools like GaitRec-VR for 3D gait analysis in real-world environments. Work focuses on improving clinical decision-making through explainable AI (XAI) and automated gait classification systems.

Labs/Teams: Collaborates with multidisciplinary teams on tele-rehabilitation, motion variability analysis, and VR applications. Active in conferences like the World Congress of Biomechanics and European Society of Biomechanics.