Paper Info
Title
Physiological Detection of Affective States in Children with Autism Spectrum Disorder
Abstract
AbstractAutism spectrum disorder (ASD) is associated with emotion processing difficulties, including limitations in understanding the emotional states of others and processing one's own internal experiences. The nature of these difficulties remains largely unknown. This is due, in part, to challenges in acquiring reliable self-reports of emotional experiences from this population. Automatically characterizing emotional states with the use of physiological signals is a potential means of overcoming this problem, as physiological signals can provide an objective and nonverbal method for assessing affective states. However, this approach has not been well considered with ASD to date. To this end, we investigated detection of autonomic responses to positive and negative stimuli in children with ASD using four physiological measurements. Electrocardiograms, respiration, skin conductance and temperature were measured while 15 children with ASD viewed standard images known to evoke varying levels of valence (positive and negative) and arousal (low and high intensity). Using an ensemble of classifiers, affective states induced by stimuli of positive and negative valence or high and low arousal was differentiated at average accuracies approaching or exceeding 80 percent. These results suggest the feasibility of discerning affective states in individuals with ASD objectively using physiological signals.
Year
DOI
Venue
2020
10.1109/TAFFC.2018.2820049
Periodicals
Keywords
DocType
Volume
Physiology, Electromyography, Electrocardiography, Sociology, Statistics, Temperature measurement, Pediatrics, Emotion detection, physiological signals, autism spectrum disorder, classification
Journal
11
Issue
ISSN
Citations 
4
1949-3045
1
PageRank 
References 
Authors
0.35
9
4
Name
Order
Citations
PageRank
Sarah Sarabadani110.35
Larissa C. Schudlo210.35
Ali-Akbar Samadani3635.09
Azadeh Kushki441.41