Article
Analyzing the Behavior of Autistic and Normal Developing Children Using Eye Tracking Data
Advances in Intelligent Systems and Computing
Document Type
Conference Proceeding
Publication Date
1-1-2018
Abstract
© 2018, Springer Nature Singapore Pte Ltd. In this paper, we have utilized the eye tracking technology to analyze and compare the gaze pattern of autistic and normal developing children. We have used and combined different stimuli (banana, tomato, football and a child’s face). Within the child’s face we have defined two areas of interest (AOI) namely: face-eyes and face-mouth. Various metrics are used to analyze the difference in behavior between the two groups. The findings provide results to the non-typical ways in which autistic children look at different objects and in particular, the face.
DOI Link
10.1007/978-981-10-8612-0_36
ISBN
9789811086113
Publisher
Springer Verlag
Disciplines
Keywords
- ASD,
- Autism,
- Computational Approach,
- Eye Tracking,
- Information Visualization. Human Expression and Recognition
Scopus ID
85044188887
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1007/978-981-10-8612-0_36
Citation Information
Mohamed Basel Almourad, Emad Bataineh, Joana Stocker and Farhi Marir. "Analyzing the Behavior of Autistic and Normal Developing Children Using Eye Tracking Data" Advances in Intelligent Systems and Computing Vol. 739 (2018) p. 340 - 349 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/2194-5365" target="_blank">2194-5365</a> Available at: http://works.bepress.com/mohamedbasel-almourad/7/