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Transformer-Based UNet with Multi-Headed Cross-Attention Skip Connections to Eliminate Artifacts in Scanned Documents
Current approaches using Convolutional Neural Networks show promising results for background removal tasks but fail correcting artifacts like pixelation or compression errors.
Automatic Assessment of Functional Movement Screening Exercises with Deep Learning Architectures
(2) Methods: Using a measurement system consisting of 17 IMUs, a dataset of four Functional Movement Screening (FMS) exercises is recorded.
Novel Approach To Synchronisation Of Wearable IMUs Based On Magnetometers
In addition, the approach should be tested using inertial measurement units from different manufacturers to investigate an identified constant offset in the accuracy measurements.
Analysis of Gait-Event-related Brain Potentials During Instructed And Spontaneous Treadmill Walking -- Technical Affordances and used Methods
A solution (HW/SW) for synchronous recording of gait- and EEG data was developed, tested and piloted.
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