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In a small office buried inside an administrative building at Stanford, Catalin Voss and Nick Haber are pairing face-tracking technology with machine learning to build at-home treatments for autism.聽The Autism Glass Project, a part of the Wall Lab in the Stanford School of Medicine, launches the second phase of its study Monday morning.The software uses machine learning for feature extraction, to detect what Voss calls action units from faces.
http://autismglass.stanford.edu/assets/glass_demo_1.mp4The project s second phase is a 100-child study to investigate the system s viability as an at-
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