Machine Learning & Developmental Psychology @ Leuphana University
Happy to share our new preprint exploring the everyday social ecology of preschoolers! We applied an automated multimodal pipeline to 267 hours of naturalistic egocentric video from 107 children (ages 3–5) to capture the changing natural statistics of everyday interactions: doi.org/10.31234/osf...
OSFdoi.orgI am excited to share my first publication in Behavior Research Methods! 🚀 We’ve released ChildLens: 109 hours of open-access, annotated egocentric video/audio from children (ages 3–5). Paper: rdcu.be/fdfAI
ChildLens: An egocentric video dataset for activity analysis in childrenrdcu.be