A Unified Pipeline for Explainable Gait Analysis
Zieger D, Henningson JO, Egger B, Stamminger M (2026)
Publication Type: Conference contribution
Publication year: 2026
Journal
Publisher: Springer Science and Business Media Deutschland GmbH
Book Volume: 16171 LNCS
Pages Range: 29-43
Conference Proceedings Title: Lecture Notes in Computer Science
Event location: Daejeon
ISBN: 9783032067739
DOI: 10.1007/978-3-032-06774-6_3
Abstract
Motion capturing is the de facto standard for objective measurement of motion patterns in clinical applications. However, the arising data is hard to interpret and visualize in an intuitive manner. To aid physicians in diagnostic decisions, we present a pipeline that predicts diseases based on motion capture gait sequences and visualizes the most important features that led to classification decision in an intuitive manner. To account for arbitrary motion capture systems, we transfer the motion capture data into a common reference frame, in which we map the gait sequence into a unified joint-based space. This representation can not only improve the neural network based classification but also enables the projection of interpretability metrics from the classifier back onto the reference shape model, which ultimately is visualized in a human interpretable way. The proposed pipeline allows clinicians to comprehend decisions made by our classifier even if they are based on subtle changes in movement patterns. We evaluate our approach on a Parkinson’s disease classification task demonstrating its applicability and interpretability. The unified joint-based representation is very general and can also be applied for e.g. hands or be deployed in settings where the 3D motion is retrieved via existing 3D-from-2D methods.
Authors with CRIS profile
Daniel Zieger
Chair of Visual Computing (LGDV)
Jann-Ole Henningson
Chair of Visual Computing (LGDV)
Bernhard Egger
Juniorprofessur für Cognitive Computer Vision (Stiftungsprofessur)
Marc Stamminger
Chair of Visual Computing (LGDV)
How to cite
APA:
Zieger, D., Henningson, J.-O., Egger, B., & Stamminger, M. (2026). A Unified Pipeline for Explainable Gait Analysis. In Christian Wachinger, Gijs Luijten, Jan Egger, Shireen Elhabian, Karthik Gopinath (Eds.), Lecture Notes in Computer Science (pp. 29-43). Daejeon, KR: Springer Science and Business Media Deutschland GmbH.
MLA:
Zieger, Daniel, et al. "A Unified Pipeline for Explainable Gait Analysis." Proceedings of the International Workshop on Shape in Medical Imaging, ShapeMI 2025, Held in Conjunction with the 28th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2025, Daejeon Ed. Christian Wachinger, Gijs Luijten, Jan Egger, Shireen Elhabian, Karthik Gopinath, Springer Science and Business Media Deutschland GmbH, 2026. 29-43.
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