Mar 12, 2020 · In our previous work, we explored the feasibility of extracting pose-based features from video sequences to automatically classify infant body ...
In this project, we explore the feasibility of extracting pose-based features from video sequences to automatically classify infant body movement into two ...
This paperextends the feasibility of extracting pose-based features from video sequences to automatically classify infant body movement into two categories, ...
We explore the viability of using these pose-based feature sets for automated classification within a deep learning framework by carrying out extensive ...
Abstract—The pursuit of early diagnosis of cerebral palsy has been an active research area with some very promising results us-.
Mar 17, 2020 · In our previous work, we explored the feasibility of extracting pose-based features from video sequences to automatically classify infant body ...
Abnormal Infant Movements Classification with Deep Learning ...
hubertshum.com › pbl_access2020infant
In our previous work, we explored the feasibility of extracting pose-based features from video sequences to automatically classify infant body movement into two ...
architectures to investigate the feasibility of leveraging the pose-based feature sets for automatic classification within a deep learning framework. The ...
Abnormal Infant Movements Classification With Deep Learning on Pose-Based Features · McCay, Kevin D. · Ho, Edmond S. L. · Shum, Hubert P. H. · Fehringer, Gerhard ...
Feb 22, 2024 · Using a deep learning algorithm, we automatically labelled and tracked 18 key body points in each video. We designed a custom pipeline to adjust ...