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AI Therapist – Emotion Detection using Facial Detection and Recognition & Showing Content According to Emotions

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Last date : 26-Oct-2020

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AI Therapist – Emotion Detection using Facial Detection and Recognition & Showing Content According to Emotions


Sanket Godbole | Jaivardhan Shelke



Sanket Godbole | Jaivardhan Shelke "AI Therapist – Emotion Detection using Facial Detection and Recognition & Showing Content According to Emotions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6, October 2020, pp.29-31, URL: https://www.ijtsrd.com/papers/ijtsrd33267.pdf

This paper presents an integrated system for emotion detection using facial detection and recognition. we have taken into account the fact that emotions are most widely represented with eyes and mouth expressions. In this research effort, we implement a general convolutional neural network (CNN) building framework for designing real-time CNNs. We validate our models by creating a real-time vision system that accomplishes the tasks of face detection, emotion classification, and generating the content according to the emotion or mood of the person simultaneously in one blended step using our proposed CNN architecture. Our proposed model consisted of modules such as image processing, Feature extraction, feature classification, and recommendation process. The images used in the experiment are pre-processed with various image processing methods like canny edge detection, histogram equalization, fit ellipse, and FER dataset is mediated for conducting the experiments. With a trained profile that can be updated flexibly, a user can detect his/her behavior on a real-time basis. It utilizes the state of the art of face detection and recognition algorithms.

classification and recognition, Convolutional Neural Networks, Feature Extraction


IJTSRD33267
Volume-4 | Issue-6, October 2020
29-31
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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