A new bio-inspired metric based on eye movement data for classifying ASD and typically developing children

作者：

Highlights：

• A new bio-inspired metric based on graph theory is developed for classifying ASD and TD children.

• We propose that the stimulus materials need to be carefully designed or screened for modeling procedure.

• We propose that the sub-regions within viewing angle need to be considered during modeling procedure.

摘要

•A new bio-inspired metric based on graph theory is developed for classifying ASD and TD children.•We propose that the stimulus materials need to be carefully designed or screened for modeling procedure.•We propose that the sub-regions within viewing angle need to be considered during modeling procedure.

论文关键词：Autism Spectrum Disorder (ASD),Saliency model,Curve similarity

论文评审过程：Received 8 May 2020, Revised 9 December 2020, Accepted 24 January 2021, Available online 12 February 2021, Version of Record 16 February 2021.

论文官网地址：https://doi.org/10.1016/j.image.2021.116171