E-ISSN 3026-930X
 
2025, Vol: 3, Issue: 1
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Original Research 


Development of an Artificial Intelligence-Based Infant’s Emotion Recognition System for a Caregiving Robot

Kufre Esenowo Jack, Emmanuel Chigozie Ani, Samuel Akinwumi Adeniji, Terdoo George Anaana, Enoch Ademide Arowolo, Emmanuel Onu Amos.


Abstract
Effective caregiving for infants necessitates the precise and prompt identification of their emotional states, primarily conveyed by facial expressions and cries. Caregivers face substantial difficulty in interpreting these emotions, resulting in delays in addressing an infant's needs. This research focuses on developing an AI-based model to identify and classify newborns' emotions based on their facial expressions, using Convolutional Neural Network (CNN) architecture (Inception V3) with a dataset of baby facial expressions. The system integrates multiple sensors to collect multi-modal data, improving cry emotion classification. The CNN model analyzes the newborn's emotional state, while input from the sensors combined with fuzzy logic identifies potential distress causes, such as hunger or discomfort. The classification report for the infant emotion recognition model shows an overall test accuracy of 0.85. The precision, recall, and F1 scores for happy, neutral, and sad emotions indicate the model's effectiveness, particularly in identifying happy and sad emotions. This demonstrates the model's potential for real-time caregiving applications, providing timely and accurate emotional assessments to improve infant care quality.

Key words: Artificial Intelligence Emotions Infant Facial Expressions


 
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How to Cite this Article
Pubmed Style

Jack KE, Ani EC, Adeniji SA, Anaana TG, Arowolo EA, Amos EO. Development of an Artificial Intelligence-Based Infant’s Emotion Recognition System for a Caregiving Robot. NJEAS. 2025; 3(1): 32-39. doi:10.5455/NJEAS.209325

Web Style

Jack KE, Ani EC, Adeniji SA, Anaana TG, Arowolo EA, Amos EO. Development of an Artificial Intelligence-Based Infant’s Emotion Recognition System for a Caregiving Robot. https://www.nilejeas.com/?mno=209325 [Access: December 30, 2025]. doi:10.5455/NJEAS.209325

AMA (American Medical Association) Style

Jack KE, Ani EC, Adeniji SA, Anaana TG, Arowolo EA, Amos EO. Development of an Artificial Intelligence-Based Infant’s Emotion Recognition System for a Caregiving Robot. NJEAS. 2025; 3(1): 32-39. doi:10.5455/NJEAS.209325


Vancouver/ICMJE Style

Jack KE, Ani EC, Adeniji SA, Anaana TG, Arowolo EA, Amos EO. Development of an Artificial Intelligence-Based Infant’s Emotion Recognition System for a Caregiving Robot. NJEAS. (2025), [cited December 30, 2025]; 3(1): 32-39. doi:10.5455/NJEAS.209325


Harvard Style

Jack, K. E., Ani, . E. C., Adeniji, . S. A., Anaana, . T. G., Arowolo, . E. A. & Amos, . E. O. (2025) Development of an Artificial Intelligence-Based Infant’s Emotion Recognition System for a Caregiving Robot. NJEAS, 3 (1), 32-39. doi:10.5455/NJEAS.209325


Turabian Style

Jack, Kufre Esenowo, Emmanuel Chigozie Ani, Samuel Akinwumi Adeniji, Terdoo George Anaana, Enoch Ademide Arowolo, and Emmanuel Onu Amos. 2025. Development of an Artificial Intelligence-Based Infant’s Emotion Recognition System for a Caregiving Robot. Nile Journal of Engineering and Applied Science, 3 (1), 32-39. doi:10.5455/NJEAS.209325


Chicago Style

Jack, Kufre Esenowo, Emmanuel Chigozie Ani, Samuel Akinwumi Adeniji, Terdoo George Anaana, Enoch Ademide Arowolo, and Emmanuel Onu Amos. "Development of an Artificial Intelligence-Based Infant’s Emotion Recognition System for a Caregiving Robot." Nile Journal of Engineering and Applied Science 3 (2025), 32-39. doi:10.5455/NJEAS.209325


MLA (The Modern Language Association) Style

Jack, Kufre Esenowo, Emmanuel Chigozie Ani, Samuel Akinwumi Adeniji, Terdoo George Anaana, Enoch Ademide Arowolo, and Emmanuel Onu Amos. "Development of an Artificial Intelligence-Based Infant’s Emotion Recognition System for a Caregiving Robot." Nile Journal of Engineering and Applied Science 3.1 (2025), 32-39. Print. doi:10.5455/NJEAS.209325


APA (American Psychological Association) Style

Jack, K. E., Ani, . E. C., Adeniji, . S. A., Anaana, . T. G., Arowolo, . E. A. & Amos, . E. O. (2025) Development of an Artificial Intelligence-Based Infant’s Emotion Recognition System for a Caregiving Robot. Nile Journal of Engineering and Applied Science, 3 (1), 32-39. doi:10.5455/NJEAS.209325


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1. Prof. Abdulhameed Danjuma Mambo
   Editor-in-Chief
abdulhameed.mambo@nileuniversity.edu.ng
2. Dr. Adekunle Adeleke
    Associate Editor-in-Chief
    adekunle.adeleke@nileuniversity.edu.ng
3. Dr. Ifeyinwa Obianyo
Managing Editor
ifeyinwa.obianyo@nileuniversity.edu.ng