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Combining Gaze and Demographic Feature Desciptors for Autism Classification

Abstract: 

People with autism suffer from social challenges and communication difficulties, which may prevent them from leading a fruitful and enjoyable life. It is imperative to diagnose and start treatments for autism as early as possible and, in order to do so, accurate methods of identifying the disorder are vital. We propose a novel method for classifying autism through the use of eye gaze and demographic feature descriptors that include a subject’s age and gender. We construct feature descriptors that incorporate the subject’s age and gender, as well as features based on eye gaze data. Using eye gaze information from the National Database for Autism Research, we tested our constructed feature descriptors on three different classifiers; random regression forests, C4.5 decision tree, and PART. Our proposed method for classifying autism resulted in a top classification rate of 96.2%.

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Paper Details

Authors:
Shaun Canavan, Melanie Chen, Song Chen, Robert Valdez, Miles Yaeger, Huiyi Lin, Lijun Yin
Submitted On:
19 September 2017 - 8:23pm
Short Link:
Type:
Poster
Event:
Presenter's Name:
Shaun Canavan
Paper Code:
WA-PA.7
Document Year:
2017
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Combining Gaze and Demographic Feature Desciptors for Autism Classification

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[1] Shaun Canavan, Melanie Chen, Song Chen, Robert Valdez, Miles Yaeger, Huiyi Lin, Lijun Yin, "Combining Gaze and Demographic Feature Desciptors for Autism Classification", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2235. Accessed: Dec. 16, 2017.
@article{2235-17,
url = {http://sigport.org/2235},
author = {Shaun Canavan; Melanie Chen; Song Chen; Robert Valdez; Miles Yaeger; Huiyi Lin; Lijun Yin },
publisher = {IEEE SigPort},
title = {Combining Gaze and Demographic Feature Desciptors for Autism Classification},
year = {2017} }
TY - EJOUR
T1 - Combining Gaze and Demographic Feature Desciptors for Autism Classification
AU - Shaun Canavan; Melanie Chen; Song Chen; Robert Valdez; Miles Yaeger; Huiyi Lin; Lijun Yin
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2235
ER -
Shaun Canavan, Melanie Chen, Song Chen, Robert Valdez, Miles Yaeger, Huiyi Lin, Lijun Yin. (2017). Combining Gaze and Demographic Feature Desciptors for Autism Classification. IEEE SigPort. http://sigport.org/2235
Shaun Canavan, Melanie Chen, Song Chen, Robert Valdez, Miles Yaeger, Huiyi Lin, Lijun Yin, 2017. Combining Gaze and Demographic Feature Desciptors for Autism Classification. Available at: http://sigport.org/2235.
Shaun Canavan, Melanie Chen, Song Chen, Robert Valdez, Miles Yaeger, Huiyi Lin, Lijun Yin. (2017). "Combining Gaze and Demographic Feature Desciptors for Autism Classification." Web.
1. Shaun Canavan, Melanie Chen, Song Chen, Robert Valdez, Miles Yaeger, Huiyi Lin, Lijun Yin. Combining Gaze and Demographic Feature Desciptors for Autism Classification [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2235