Emotion Detection Using Facial Expressions

Facial expressions give important information about emotions of a person. Understanding facial expressions accurately is one of the challenging tasks for interpersonal relationships. Automatic emotion detection using facial expressions recognition is now a main area of interest within various fields

Project Title

Emotion Detection Using Facial Expressions

Project Area of Specialization

Artificial Intelligence

Project Summary

Facial expressions give important information about emotions of a person. Understanding facial expressions accurately is one of the challenging tasks for interpersonal relationships. Automatic emotion detection using facial expressions recognition is now a main area of interest within various fields such as computer science, medicine, and psychology. HCI research communities also use automated facial expression recognition system for better results. Various feature extraction techniques have been developed for recognition of expressions from static images as well as real time videos.

Project Objectives

We will design desktop application to detect real-time human emotions through facial expressions using deep learning artificial neural network.

Project Implementation Method

Human emotion can be detected in no of ways like text, voice, face, bio-signals; we are using face for detecting human emotions mainly happy, sad, disgust, neutral, angry, surprise, fear. Emotion can be detected in three steps input which in our case will be a frame or an image which goes as an input in our second step which is deep learning artificial neural network which will classify different emotions on the model we have trained.  We will use python opencv library for taking input from camera and computer vision algorithms to detect faces, crop images, and brightness and contrast issues. We will use artificial neural networks for classification of emotions using deep learning libraries like tensorflow or scikit-learn. We will use pyqt for graphical user interface for our desktop application.

Benefits of the Project

Emotion detection can be helpful and applicable in many situations such as healthcare, interviews, education, marketing etc. Emotion detection in health department can be used to identify patient’s response towards some treatments. In educational departments emotion detection can be used to identify if students get bored during the lecture or they are not active in the class. Emotion detection can be used in marketing to keep track of customer responses and their feedback to the product. Emotion detection can be used to monitor fatigue level of driver which is used in cars.

Technical Details of Final Deliverable

We are going to build desktop application which is going to perform emotion detection detection on real time data and it will also take input from camera as an image and we can also load an image. real time emotion will be detected using video converted into frames and then images.

Final Deliverable of the Project

Software System

Core Industry

Others

Other Industries

Education , Medical , Health , Security

Core Technology

Artificial Intelligence(AI)

Other Technologies

Others

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com