As Google retools its Glass experiment, researchers at Stanford are using the device to help autistic children recognize and classify emotions. 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. 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. Video Player The project’s second phase is a 100-child study to investigate the system’s viability as an at-home autism treatment. The Autism Glass Project’s software classifies emotions in faces that the device is pointed at, and instantly gives users a read on the face’s expression. Using images to translate emotions for chil...
A blog about current technology news and we are trying to share the up to date technology news. if you have any technical news kindly draft mail to: ajijullasahib@gmail.com If you want to post your content in this blog kindly draft a email to above email id, our team will reach you out soon.