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most citedAutomatic Assessment of Functional Movement Screening Exercises with Deep Learning Architectures

20 citations · 24 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Representing and Detecting Label Ambiguity in IMU-Based Exercise Evaluation

Andreas Spilz, Heiko Oppel, Michael Munz

Home-based physiotherapy is performed without supervision, which leads to incorrect execution and motivates systems that assess movement automatically from inertial measurement uni…

cs.LG2025

Sawtooth Sampling for Time Series Denoising Diffusion Implicit Models

Heiko Oppel, Andreas Spilz, Michael Munz

Denoising Diffusion Probabilistic Models (DDPMs) can generate synthetic timeseries data to help improve the performance of a classifier, but their sampling process is computational…

cs.CV2025

GAITEX: Human motion dataset of impaired gait and rehabilitation exercises using inertial and optical sensors

Andreas Spilz, Heiko Oppel, Jochen Werner +3

Wearable inertial measurement units (IMUs) provide a cost-effective approach to assessing human movement in clinical and everyday environments. However, developing the associated c…

cs.LG2025

Time Series Similarity Score Functions to Monitor and Interact with the Training and Denoising Process of a Time Series Diffusion Model applied to a Human Activity Recognition Dataset based on IMUs

Heiko Oppel, Andreas Spilz, Michael Munz

Denoising diffusion probabilistic models are able to generate synthetic sensor signals. The training process of such a model is controlled by a loss function which measures the dif…

cs.LG2025

Boosting Automatic Exercise Evaluation Through Musculoskeletal Simulation-Based IMU Data Augmentation

Andreas Spilz, Heiko Oppel, Michael Munz

Automated evaluation of movement quality can enhance physiotherapeutic treatment and sports training by providing objective, real-time feedback. However, deep learning models that…

cs.LG2022★ 20 cited

Automatic Assessment of Functional Movement Screening Exercises with Deep Learning Architectures

Andreas Spilz, MIchael Munz

(1) Background: The success of physiotherapy depends on the regular and correct performance of movement exercises. A system that automatically evaluates these could support the the…

eess.SY2021★ 4 cited

Novel Approach To Synchronisation Of Wearable IMUs Based On Magnetometers

Andreas Spilz, Michael Munz

Synchronisation of wireless inertial measurement units in human movement analysis is often achieved using event-based synchronisation techniques. However, these techniques lack pre…