Interactive video-player to improve social smile in individuals with autism spectrum disorder
ISSN: 2056-3868
Article publication date: 9 December 2019
Issue publication date: 21 April 2020
Abstract
Purpose
The purpose of this paper is to propose and develop a live interaction-based video player system named LIV4Smile for the improvement of the social smile in individuals with autism spectrum disorder (ASD).
Design/methodology/approach
The proposed LIV4Smile intervention was a video player that operated by detecting smile using a convolutional neural network (CNN)-based algorithm. To maintain a live interaction, a CNN-based smile detector was configured and used in this system. The statistical test was also conducted to validate the performance of the system.
Findings
The significant improvement was observed in smile responses of individuals with ASD with the utilization of the proposed LIV4Smile system in a real-time environment.
Research limitations/implications
A small sample size and clinical utilizing for validation and initial training of ASD individuals for LIV4Smile could be considered under implications.
Originality/value
The main aim of this study was to address the inclusive practices for children with autism. The proposed CNN algorithm-based LIV4Smile intervention resulted in high accuracy in facial smile detection.
Keywords
Acknowledgements
The authors are thankful to I.K.G. Punjab Technical University, Kapurthala (India) and CT Institute of Engineering, Management, and Technology, Jalandhar (India), for supporting us to making this research possible.
Citation
Khullar, V., Bala, M. and Singh, H.P. (2018), "Interactive video-player to improve social smile in individuals with autism spectrum disorder", Advances in Autism, Vol. 6 No. 2, pp. 109-119. https://doi.org/10.1108/AIA-05-2019-0014
Publisher
:Emerald Publishing Limited
Copyright © 2019, Emerald Publishing Limited