Abstract: Abstract In this paper, we propose a new bio-inspired metric for classifying autism spectrum disorder (ASD) children and typically developed (TD) children. The model used in the Saliency4ASD Grand Challenge at ICME 2019 uses linear regression and prior probability to process distance and time data respectively. Unfortunately, this model performs unsatisfactorily because the visual attention characteristics of ASD and TD children are similar under certain circumstances. Therefore, we screen stimulus materials to select these with significant dif...
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Topics: 
Artificial intelligence
Machine learning
Computer vision