Record link: 
http://hdl.handle.net/20.500.12708/226860
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Title: 
AI-Based Biometric Gait Analysis for Clinical, Neurodiversity, Dance-Expression, and Design Applications: A Cross-Domain Framework Linking Movement, Empowerment, and Orthopedic Indicators
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Citation: 
Hüttner, P., Freigassner, J., Telegdy, G., van Nieuwenhoven, R. W., Pojprapai, S., & Gebeshuber, I.-C. (2025, November 19). AI-Based Biometric Gait Analysis for Clinical, Neurodiversity, Dance-Expression, and Design Applications: A Cross-Domain Framework Linking Movement, Empowerment, and Orthopedic Indicators [Poster Presentation]. Exner Lectures 2025, Wien, Austria. http://hdl.handle.net/20.500.12708/226860
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Publication Type: 
Presentation - Poster Presentation
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Language: 
English
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Authors: 
Hüttner, Peter 
Freigassner, Julia 
Telegdy, Gregor 
van Nieuwenhoven, Richard Wilheim 
Pojprapai, Soodkhet 
Gebeshuber, Ilse-Christine 
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Organisational Unit: 
E134-03 - Forschungsbereich Atomic and Plasma Physics 
E134-02 - Forschungsbereich Applied Interface Physics 
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Date (published): 
19-Nov-2025
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Event name: 
Exner Lectures 2025 
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Event date: 
19-Nov-2025
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Event place: 
Wien, Austria
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Keywords: 
biometrics
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Research Areas: 
Visual Computing and Human-Centered Technology: 50%
Sustainable Production and Technologies: 25%
Structure-Property Relationsship: 25%
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Science Branch: 
1030 - Physik, Astronomie: 100%
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