How Can Computer Vision Guide the Understanding of Parent-Child Interactions? | Laura Bravo Sánchez

Laura Bravo Sánchez, PhD Candidate, Department of Biomedical Data Science, Stanford University presents a Technical Talk at the 2024 WiDS Worldwide, Stanford conference.
This talk addresses the critical importance of understanding Parent-Child Interactions (PCI) for child development specialists, who heavily rely on video data for analysis. With the increasing volume of video data, manual analysis becomes challenging, prompting research efforts at the Stanford Medical AI and Computer Vision Lab. They focus on developing Computer Vision techniques tailored to PCI studies to unlock the full potential of video data and streamline labor-intensive processes. The discussion delves into these approaches, aiming to bridge the gap between the intricacies of human behavior and current limitations in 3D monocular human mesh recovery methods.
Learn more:
Website: www.widsworldwide.org
LinkedIn: Women in Data Science (WiDS) Worldwide
Twitter: @WiDS_Worldwide
Facebook: @WiDSWorldwide
Instagram: @widsworldwide
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