Using video for the early detection of autism

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Example of ’skeleton’ extraction using OpenPose on an image extracte
Example of ’skeleton’ extraction using OpenPose on an image extracted from the recording of a social scene: (A) OpenPose keypoints overlaid on the video recording (B). OpenPose keypoints over a black background, preserving the bare minimum of scene features necessary to identify the social interaction. © Kojovic, Natraj, Mohanty, Maillart, Schaer.
Example of 'skeleton' extraction using OpenPose on an image extracted from the recording of a social scene: (A) OpenPose keypoints overlaid on the video recording (B). OpenPose keypoints over a black background, preserving the bare minimum of scene features necessary to identify the social interaction. Kojovic, Natraj, Mohanty, Maillart, Schaer. Using artificial intelligence, a team from the UNIGE has developed a device for the early detection of autism spectrum disorder in children. Individuals affected by autism spectrum disorder often present communication issues and difficulties in social interactions. Although very frequent, this disorder is challenging to diagnose before the age of five. However, early care can compensate for these difficulties by providing specific behavioural intervention  focused on the development of skills affected by autism.
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