International Journal of Advanced Innovative Technology in Engineering (IJAITE)

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Facial Emotion Detection of children Using Machine Learning

Ms. Ranjana V. Gawai, Prof. V. R. Raut, Dr. S. M. Deshmukh

Abstract :

Facial Emotion Detection is a technique for detecting human emotion through facial expressions. Autism Spectrum Disorder is a neurobehavioral disorder with a wide range of symptoms. Autistic people are unable to communicate socially in this state. The behaviors of autistic people are inflexible and repetitive. Autism affects peoples ability to recognize emotions. The goal of this project is to use a machine learning algorithm to track and identify persons with autism spectral disorder. demonstrate a novel approach for recognizing facial expressions in youngsters with autism spectrum disorders. In this work, five emotions have been recognized from the face like sad, angry, happy, Disgust, and surprise. In the proposed work, three important methods have been used like LBP and HOG for feature extraction, and Ensemble Random decision machine learning algorithms for classification of emotions. A large dataset of autistic people has been utilized for proposed work implementation. From the result simulation, it has been seen that the proposed algorithm has provided good results in terms of Accuracy. We achieved an accuracy near about the 86.6% by using the proposed emotion recognition system for the autistic database.

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