Eye Cursor Control Mouse

Project Title

Eye Cursor Control Mouse

Project Area of Specialization Artificial IntelligenceProject Summary

The purpose of this project is to give a facilitate disable people who cannot move anything except their eyes. For these people eye movement and blinks are the only way to communicate without word through computer. This project is a big advantage for a physically challenged people to interact with the computer system by using their eyes only. Using Human-computer interaction concepts first we take eyes as an input, the movement of user's eyes can provide source of input. There is no universal method to track the eye movement. We are using eye tracking which helps to identify where the user is looking to perform so the function performs. The project is divided into three sections namely Image Capture, Image Processing, and Cursor Control.The purpose of this project is to give a facilitate disable people who cannot move anything except their eyes. For these people eye movement and blinks are the only way to communicate without word through computer. This project is a big advantage for a physically challenged people to interact with the computer system by using their eyes only. Using Human-computer interaction concepts first we take eyes as an input, the movement of user's eyes can provide source of input. There is no universal method to track the eye movement. We are using eye tracking which helps to identify where the user is looking to perform so the function performs. The project is divided into three sections namely Image Capture, Image Processing, and Cursor Control.

Project Objectives

The goal of our project is to make a system that will use computer vision techniques to automatically detect and identify faces. The identification and recognition is based on their facial features such as region of the eyes, face shape etc. The main objectives of this project are stated below:

1. We are trying to build a fast and efficient face recognition system that detects faces very quickly
2. We need to determine whether the detecting image is face or not.
3. With these feature vectors we wish to label the target images using SVM classification, in this we recognize face using single training person per sample.
4. We aim to compare various recognition techniques and present a tradeoff between accuracy and speed for each of them.

Project Implementation Method

To achieve the first goal which is to detect a recognize face, we will use Viola-Jones Method for detection and recognition …

To achieve the second goal, we will using feature based or image based approach…

To achieve our third goal, we will recognize face using LBP for pre processing FLD for features extraction and SVM for visual stimulus which focus on facial expression, aging and other detecting features…

The biggest challenge we expect to be Face Recognition and Cascading… To address this challenge, we will use cascade of face we are using it for eye but we are using an eye cascade because it have specific retina range so if we so use that so it might be only for few users but we want to make our project useable for every universal user

Benefits of the Project

This project is a big advantage for a physically challenged people to interact with the computer system by using their eyes only. Using Human-computer interaction concepts first we take eyes as an input, the movement of user's eyes can provide source of input. There is no universal method to track the eye movement. We are using eye tracking which helps to identify where the user is looking to perform so the function performs. The project is divided into three sections namely Image Capture, Image Processing, and Cursor Control.

Technical Details of Final Deliverable

• Start a Computer.
• Open Camera to capture an image.
• Camera detects face, if it fails to detect face it again capture an image, if succeed it goes to the next step.
• After detecting face it save face representation.
• Locate Eye position, after locating an eye position it check if the eye position changes continuously it reset the current position.
• After locating an eye position it save that position.
• It Track face using winner-update algorithm.
• After Tracking it starts moving cursor and by movinng cusor through eyes it will also perform  click.

Final Deliverable of the Project Software SystemCore Industry ITOther Industries Others Core Technology Artificial Intelligence(AI)Other Technologies OthersSustainable Development Goals Reduced InequalityRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	70000
Laptop	Equipment	2	30000	60000
webcam	Miscellaneous	2	5000	10000