Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Djordje Slijepcevic"'
Autor:
Fabian Horst, Fabian Hoitz, Djordje Slijepcevic, Nicolas Schons, Hendrik Beckmann, Benno M. Nigg, Wolfgang I. Schöllhorn
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Placing a stronger focus on subject-specific responses to footwear may lead to a better functional understanding of footwear’s effect on running and its influence on comfort perception, performance, and pathogenesis of injuries. We investi
Externí odkaz:
https://doaj.org/article/c2ea35c0766f470fbc96be675c9858de
Autor:
Fabian Horst, Djordje Slijepcevic, Marvin Simak, Brian Horsak, Wolfgang Immanuel Schöllhorn, Matthias Zeppelzauer
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 3414-3423 (2023)
Human gait is a complex and unique biological process that can offer valuable insights into an individual’s health and well-being. In this work, we leverage a machine learning-based approach to model individual gait signatures and identify factors
Externí odkaz:
https://doaj.org/article/61c3a247c28e4e10995aa02ea5d8d83c
Autor:
Djordje Slijepcevic, Matthias Zeppelzauer, Fabian Unglaube, Andreas Kranzl, Christian Breiteneder, Brian Horsak
Publikováno v:
IEEE Access, Vol 11, Pp 65906-65923 (2023)
This work investigates the effectiveness of various machine learning (ML) methods in classifying human gait patterns associated with cerebral palsy (CP) and examines the clinical relevance of the learned features using explainability approaches. We t
Externí odkaz:
https://doaj.org/article/2dd2d7e0c90c4216909a10358ecddd3e
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-9 (2021)
Measurement(s) ground reaction force • centre of pressure • walking behavior • gait measurement • Normal Gait Technology Type(s) force plate • Sensor Device Factor Type(s) age • sex • walking speed Sample Characteristic - Organism Homo
Externí odkaz:
https://doaj.org/article/e2c1701cf1db482ea5ea3f5fb17744a0
Autor:
Djordje Slijepcevic, Matthias Zeppelzauer, Fabian Unglaube, Andreas Kranzl, Christian Breiteneder, Brian Horsak
Publikováno v:
Gait & Posture. 100:32-33
Autor:
Wolfgang I. Schöllhorn, Sebastian Lapuschkin, Brian Horsak, Djordje Slijepcevic, Wojciech Samek, Matthias Zeppelzauer, Fabian Horst, Anna-Maria Raberger, Christian Breiteneder
State-of-the-art machine learning (ML) models are highly effective in classifying gait analysis data, however, they lack in providing explanations for their predictions. This "black-box" characteristic makes it impossible to understand on which input
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9647233ddc77cf4d1b313f1b6d7f0350
http://arxiv.org/abs/2211.17015
http://arxiv.org/abs/2211.17015
Autor:
Carlo Dindorf, Fabian Horst, Djordje Slijepčević, Bernhard Dumphart, Jonas Dully, Matthias Zeppelzauer, Brian Horsak, Michael Fröhlich
Publikováno v:
Current Issues in Sport Science, Vol 9, Iss 4 (2024)
Biomechanical data collection was largely confined to controlled laboratory setups, relying on marker-based systems or force platforms. However, the emergence of wearable sensors and markerless motion capture has revolutionized this field, enabling d
Externí odkaz:
https://doaj.org/article/6318c743feb04a00b6704788dc5fcf46
Autor:
Alexander Rind, Djordje Slijepcevic, Matthias Zeppelzauer, Fabian Unglaube, Andreas Kranzl, Brian Horsak
Three-dimensional clinical gait analysis is essential for selecting optimal treatment interventions for patients with cerebral palsy (CP), but generates a large amount of time series data. For the automated analysis of these data, machine learning ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a500a8776ef66cb4800d518e369e261
Autor:
Anna-Maria Raberger, Djordje Slijepcevic, Mario Heller, Victor-Adriel de Jesus Oliveira, Stefan Ferstl, Michael Iber, Brian Horsak, Bernhard Dumphart, Joschua M. Reis
Publikováno v:
Audio Mostly Conference
We describe a proof-of-concept for the implementation of a mobile auditory biofeedback system based on automated classification of functional gait disorders. The classification is embedded in a sensor-instrumented insole and is based on ground reacti
Autor:
Lukas Daniel Klausner, Peter Kieseberg, Tobias Dam, Maximilian Henzl, Matthias Zeppelzauer, Djordje Slijepcevic
The protection of private information is a crucial issue in data-driven research and business contexts. Typically, techniques like anonymisation or (selective) deletion are introduced in order to allow data sharing, e. g. in the case of collaborative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd3c6b9a61f530b58fc1dcb522c1c247
http://arxiv.org/abs/2102.04763
http://arxiv.org/abs/2102.04763