AI-IOT Integration Facial Emotion Detection in Healthcare

HARISH D; KEERTHIKA J; MANIKANDAN B; PANDIYARAJAN R; CHITRA DEVI B

AI-IOT Integration Facial Emotion Detection in Healthcare

Authors: HARISH D, KEERTHIKA J, MANIKANDAN B, PANDIYARAJAN R, CHITRA DEVI B

Unique Paper ID: 177829
Volume: 11
Issue: 12
PageNo: 2997-3002

Keywords: No Keywords Found

Abstract:
This project focuses on automating facial emotion recognition using deep learning techniques, particularly leveraging Convolutional Neural Networks (CNNs) enhanced with attention mechanisms such as self-attention and channel attention. Traditional methods for recognizing and analyzing facial expressions are often limited in accuracy, sensitive to environmental variations, and prone to misinterpreting subtle emotional cues. As the demand for emotion-aware, responsive systems increases across domains such as mental health monitoring, behavioral analysis, and human-computer interaction, the need for an efficient and accurate emotion recognition system becomes crucial. The proposed model, built upon a CNN architecture integrated with attention modules, is designed to identify and classify different emotional states using enhanced feature extraction. By training the network on a large and diverse dataset of facial images, the model can not only detect a wide range of emotions but also operate effectively in real-time scenarios. This approach significantly reduces human involvement and enhances the consistency, accuracy, and speed of emotion recognition. The project aims to demonstrate how deep learning can revolutionize emotion-aware AI applications, enabling smarter, more interactive systems across various sectors. Furthermore, the proposed solution is integrated with an ESP8266 microcontroller to provide real-time output control, such as activating LEDs or buzzers based on detected emotions, making it suitable for practical deployment in smart environments and assistive technologies.

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ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 2997-3002

AI-IOT Integration Facial Emotion Detection in Healthcare

Available:https://ijirt.org/Article?manuscript=177829

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UGC Approved
Journal no 47859

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