Early detection of children with Autism Spectrum Disorder based on visual exploration of images

作者：

Highlights：

• Autism Spectrum Disorder is characterized by a deficit in social behaviour and specific interaction.

• Signal processing techniques can be used for identifying Autism Spectrum Disorder symptoms.

• Features extracted from image content and viewing behaviour support an early diagnosis of Autism Spectrum Disorder.

• Eye tracking and machine learning algorithms are combined to implement a fast and accurate diagnosis system.

摘要

•Autism Spectrum Disorder is characterized by a deficit in social behaviour and specific interaction.•Signal processing techniques can be used for identifying Autism Spectrum Disorder symptoms.•Features extracted from image content and viewing behaviour support an early diagnosis of Autism Spectrum Disorder.•Eye tracking and machine learning algorithms are combined to implement a fast and accurate diagnosis system.

论文关键词：Autism spectrum disorder,Object detection,Fixations,Classification,Visual saliency

论文评审过程：Received 11 May 2020, Revised 21 December 2020, Accepted 24 January 2021, Available online 10 February 2021, Version of Record 17 February 2021.

论文官网地址：https://doi.org/10.1016/j.image.2021.116184