- Work address
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Henri Dunantlaan 1A
9000 Gent - Joeri.Gerlo@UGent.be
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Predicting gait events from tibial acceleration in rearfoot running: a structured machine learning approach
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- Journal Article
- A1
- open access
Change-point detection of peak tibial acceleration in overground running retraining
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- Journal Article
- A1
- open access
Tibial acceleration-based prediction of maximal vertical loading rate during overground running : a machine learning approach
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- Conference Paper
- C1
- open access
Multiview 3D markerless human pose estimation from OpenPose skeletons
(2020) Advanced concepts for intelligent vision systems - ACIVS 2020. In Lecture Notes in Computer Science 12002. p.166-178 -
Consolidation of the atypical rearfoot strike pattern in distance runners and linkage to tibial shocks
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Machine learning as a tool to predict impact loading during over-ground distance running
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Validity and reliability of peak tibial accelerations as real-time measure of impact loading during over-ground rearfoot running at different speeds
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Real-time music-based biofeedback to reduce impact loading during over-ground running
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Boot-turf interaction during a 180° cutting movement on artificial turf when wet and dry
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Resultant peak tibial acceleration is a measure of impact loading in overground rearfoot running : a validation and reliability study across speeds