Document Type
Conference Paper
Publication Date
2019
DOI
10.1117/12.2530397
Publication Title
Proceedings Volume 11139, Applications of Machine Learning
Volume
11139
Pages
1-8
Abstract
The classification of facial expression has been extensively studied using adult facial images which are not appropriate ground truths for classifying facial expressions in children. The state-of-the-art deep learning approaches have been successful in the classification of facial expressions in adults. A deep learning model may be better able to learn the subtle but important features underlying child facial expressions and improve upon the performance of traditional machine learning and feature extraction methods. However, unlike adult data, only a limited number of ground truth images exist for training and validating models for child facial expression classification and there is a dearth of literature in child facial expression analysis. Recent advances in transfer learning methods have enabled the use of deep learning architectures, trained on adult facial expression images, to be tuned for classifying child facial expressions with limited training samples. The network will learn generic facial expression patterns from adult expressions which can be fine-tuned to capture representative features of child facial expressions. This work proposes a transfer learning approach for multi-class classification of the seven prototypical expressions including the ‘neutral’ expression in children using a recently published child facial expression data set. This work holds promise to facilitate the development of technologies that focus on children and monitoring of children throughout their developmental stages to detect early symptoms related to developmental disorders, such as Autism Spectrum Disorder (ASD).
Original Publication Citation
Megan A. Witherow, Manar D. Samad, and Khan M. Iftekharuddin "Transfer learning approach to multiclass classification of child facial expressions", Proc. SPIE 11139, Applications of Machine Learning, 1113911 (6 September 2019); https://doi.org/10.1117/12.2530397.
Repository Citation
Witherow, Megan A.; Samad, Manar D.; and Iftekharuddin, Khan M., "Transfer Learning Approach to Multiclass Classification of Child Facial Expressions" (2019). Electrical & Computer Engineering Faculty Publications. 226.
https://digitalcommons.odu.edu/ece_fac_pubs/226
ORCID
0000-0001-8316-4163 (Iftekharuddin)
Included in
Child Psychology Commons, Electrical and Computer Engineering Commons, Graphics and Human Computer Interfaces Commons
Comments
Copyright 2019 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.