Search Results for author: Dirk De Clercq

Found 1 papers, 0 papers with code

Predicting gait events from tibial acceleration in rearfoot running: a structured machine learning approach

no code implementations29 Oct 2019 Pieter Robberechts, Rud Derie, Pieter Van den Berghe, Joeri Gerlo, Dirk De Clercq, Veerle Segers, Jesse Davis

Thus, results indicate that a structured recurrent neural network machine learning model offers the most accurate and consistent estimation of the gait events and its derived stance time during level overground running.

BIG-bench Machine Learning Event Detection +1

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