Published Paper Details:

The paper proposes a hand free human-machine interaction (HMI) system to give a better way for communication between humans and computers. It is mostly seen that long hours in front of the pc and using the mouse puts the user's hand for too long in a bad posture that increases inflammation in the wrist and hand, leading to some major issues. Additionally, the main focus is on the usage of the modern technology by the handicapped people who tend to get a lot of boost, since it is a hindrance to them to use the mouse. The following paper develops a modern way for differently abled people to use the mouse with just their eyes. The proposed system carries the human eyes to perform the movement of the mouse cursor. This paper also carries out the design of a machine learning and deep learning approach with some inbuilt dataset to classify the individual eyes of both human eyes with quite a high accuracy that ensures the control over the movement. The use of filters which is provided by the libraries which are used to remove the noise to obtain smooth and accurate operation the details along with the performance evaluation shows that the proposed HMI system has extensive control over its performance for differently abled people.