Iris Moment Detection to Operate the Computer using Bayesian Learning

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC).

Abstract

Human-computer interaction (HCI) is a multidisciplinary field to focusing on the design of computer technology and, in particular, the interaction between humans and computers. The motion capturing system can able to create this human computer interaction. This process is completed by applying a digital signal processing system which takes the live video feed input from the users by using web-camera, and then the raw data is converted it into informative data in the form of digital signal. In existing work, the cognitive based knowledge processing system is designed to get the feedback and improve the tone of the neural schema. The cognitive technology-based software must have the capability to derive a dynamic situation and needs to perform a necessary task which is related to the decision taken by the system. The flow of information between the human and computer is defined as the loop of interaction. It deals with the design, execution and assessment of computer systems and related phenomenon that are for human use. The system observes the movement of human face, eye and operates the mouse input by recognizing the pattern of the movement. The processing system is carried out in four phases: Observing the iris movement, Identification of input operation, based on the input operation the prediction of task to be performed, Executing the task and produce the output and gather the feedback from the user regarding the carrying into action, to improve the cognitive power of the system. The cognitive ability is derived using the Bayesian learning. On performing the training procedure in the learning model which required for each session, scores based on variance projection as well as the relative positions of the iris are analyzed and interpreted to perform the various mouse functions accordingly. The proposed system identifies the eye movement to control and operate the input device by identifying the pattern of iris movement and enables click and double click operation based on eye blinking operation.

References

[1] Solea, Razvan, et al. "Wheelchair control and navigation based on kinematic model and iris movement." Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), 2015 IEEE 7th International Conference on. IEEE, 2015

[2] Sharma, Jatin, et al. "Iris movement based wheel chair control using raspberry Pi—A state of art." Power and Advanced Computing Technologies (i-PACT), 2017 Innovations in. IEEE, 2017.

[3] Solea, Razvan, et al. "Wheelchair control and navigation based on kinematic model and iris movement." Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), 2015 IEEE 7th International Conference on. IEEE, 2015.

Keywords

Human Computer Interaction (HCI), Cognitive technology, Iris, Learning Model.