Computer vision to automatically assess infant neuromotor risk

Computer vision to automatically assess infant neuromotor risk<br><br>Claire Chambers, Nidhi Seethapathi, Rachit Saluja, Helen Loeb, Samuel Pierce, Daniel Bogen, Laura Prosser, Michelle J. Johnson, and Konrad Paul Kording<br>Code and instructions: https://github.com/cchamber/Infant_movement_assessment<br>This data set contains:- System to extract pose estimates from video. (pose_extraction.zip)- Zip file with 'data' and 'models' folders to add to code repository (infant_movement_assessment_repo_files.zip) - Meta-data of YouTube videos in normative database of healthy infant movement (meta_data_youtube_dataset.csv) - Meta-data of at-risk infant videos recorded in laboratory (meta_data_clinical_dataset.csv) - Raw pose estimates from YouTube videos included in normative database of healthy infant movement (pose_estimates_youtube_dataset.csv) - Raw pose estimates from videos recorded in laboratory (pose_estimates_clinical_dataset.csv)- URLs of YouTube videos used to adapt pose-estimation algorithm (URL_labelled_dataset.csv)- URLs of YouTube videos used for normative database of healthy infant movement (URL_pose_dataset.csv)- Search terms used to find infant videos on YouTube for adapting OpenPose and to include in the normative database of healthy infant movement (search_terms.txt)- Visualization of kinematic features<br><br>