76 citations · 244 across the 7 of their papers we have counts for
7 papers
Machine Learning in Biomechanics: Key Applications and Limitations in Walking, Running, and Sports Movements
Carlo Dindorf, Fabian Horst, Djordje Slijepčević +5
This chapter provides an overview of recent and promising Machine Learning applications, i.e. pose estimation, feature estimation, event detection, data exploration & clustering, a…
Explaining machine learning models for age classification in human gait analysis
Djordje Slijepcevic, Fabian Horst, Marvin Simak +7
Machine learning (ML) models have proven effective in classifying gait analysis data, e.g., binary classification of young vs. older adults. ML models, however, lack in providing h…
Explaining automated gender classification of human gait
Fabian Horst, Djordje Slijepcevic, Matthias Zeppelzauer +6
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 "blac…
Trustworthy Visual Analytics in Clinical Gait Analysis: A Case Study for Patients with Cerebral Palsy
Alexander Rind, Djordje Slijepčević, Matthias Zeppelzauer +3
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 seri…
On the Explanation of Machine Learning Predictions in Clinical Gait Analysis
Djordje Slijepcevic, Fabian Horst, Sebastian Lapuschkin +6
Machine learning (ML) is increasingly used to support decision-making in the healthcare sector. While ML approaches provide promising results with regard to their classification pe…
Automatic Classification of Functional Gait Disorders
Djordje Slijepcevic, Matthias Zeppelzauer, Anna-Maria Gorgas +5
This article proposes a comprehensive investigation of the automatic classification of functional gait disorders based solely on ground reaction force (GRF) measurements. The aim o…
KAVAGait: Knowledge-Assisted Visual Analytics for Clinical Gait Analysis
Markus Wagner, Djordje Slijepcevic, Brian Horsak +3
In 2014, more than 10 million people in the US were affected by an ambulatory disability. Thus, gait rehabilitation is a crucial part of health care systems. The quantification of…