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Article | Green Intelligent Systems and Applications | Volume 3 - Issue 1 - 2023 | 1-13 | https://doi.org/10.53623/gisa.v3i1.229
© 2023 by the author(s), and is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) License Creative Commons Attribution 4.0 International (CC BY 4.0) License

Effectiveness of Using Artificial Intelligence for Early Child Development Screening

Author(s): Michael-Lian Gau 1 , Huong-Yong Ting 1 , Teck-Hock Toh 2 , Pui-Ying Wong 3 , Pei-Jun Woo 3 , Su-Woan Wo 3 , Gek-Ling Tan 4
Author(s) information:
1 Design and Technology Centre, University of Technology Sarawak, No. 1, Jalan Universiti, 96000 Sibu, Sarawak, Malaysia
2 Clinical Research Centre & Department of Paediatrics, Sibu Hospital, Ministry of Health Malaysia, Batu 5½, Jalan Ulu Oya, 96000 Sibu, Sarawak, Malaysia
3 Department of Psychology, School of Medical Life Sciences, Sunway University, No. 5, Jalan Universiti, Bandar Sunway, 47500 Selangor Darul Ehsan, Malaysia
4 Spark Child Development Centre, B3, Jalan Teknologi 2/1B, Signature Park, 47810 Kota Damansara, Petaling Jaya, Selangor Darul Ehsan, Malaysia

Corresponding author

Green Intelligent Systems and Applications

Volume 3 - Issue 1 - 2023

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This study presents a novel approach to recognizing emotions in infants using machine learning models. To address the lack of infant-specific datasets, a custom dataset of infants' faces was created by extracting images from the AffectNet dataset. The dataset was then used to train various machine learning models with different parameters. The best-performing model was evaluated on the City Infant Faces dataset. The proposed deep learning model achieved an accuracy of 94.63% in recognizing positive, negative, and neutral facial expressions. These results provide a benchmark for the performance of machine learning models in infant emotion recognition and suggest potential applications in developing emotion-sensitive technologies for infants. This study fills a gap in the literature on emotion recognition, which has largely focused on adults or children and highlights the importance of developing infant-specific datasets and evaluating different parameters to achieve accurate results.

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SUBMITTED: 23 March 2023
ACCEPTED: 14 April 2023
PUBLISHED: 9 May 2023
SUBMITTED to ACCEPTED: 23 days
DOI: https://doi.org/10.53623/gisa.v3i1.229

Cite this article
Gau, M.-L., Ting, H.-Y., Toh, T.-H. ., Wong, P.-Y. ., Woo, P.-J. ., Wo, S.-W., & Tan, G.-L. (2023). Effectiveness of Using Artificial Intelligence for Early Child Development Screening. Green Intelligent Systems and Applications, 3(1), 1–13. https://doi.org/10.53623/gisa.v3i1.229
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