scholarly journals Human-Computer Interface with Eye Movement

This paper focuses on using IR handset to operate the PC's mouse pointer, which distinguishes the client's eyeball creation for Human Machine Interface. Having the ability to perform left, right, up, down and double taps based on different eye squints with significantly high precision, it uses a viable example classification calculation. In view of the actual usage of Eye Contact, the sensor projections are usually used to gage selflook headings in low- minus- calculations. The proposed architecture is a promising human-PC interface for flexible eye following applications due to its lightweight construction and strong precision.

Author(s):  
Navya Raj ◽  
Hetal Verma ◽  
Kanishk Sharma ◽  
Manish Kumar ◽  
S G Desai

(HCI) which is termed as Human Computer Interface is very essential in enhancing the performance and efficiency of robot control to complete the complex tasks. It is worthwhile to develop recognition methods by virtue of which a computer will be capable of controlling human's repeated actions effectively. Thus in aforementioned paper, we have generated a CG (Computer Graphic) model to characterize the motion response from the sensor. We propose to explore other manners of human-computer intercommunication like automation & navigation. The primary idea for this paper is to analyze how to improve HCI systems thereby bettering human machine work criterion. The results indicate that the human robot interface based on motion recognition can push comparable needs to different users adequately, which provides a new approach for the association between robots and human.


1986 ◽  
Vol 30 (4) ◽  
pp. 322-326 ◽  
Author(s):  
Floyd A. Glenn ◽  
Helene P. Iavecchia ◽  
Lorna V. Ross ◽  
James M. Stokes ◽  
William J. Weiland ◽  
...  

The Ocular Attention-Sensing Interface System (OASIS) is an innovative human-computer interface which utilizes eye movement and voice commands to communicate messages between the operator and the system. This report initially describes some technical issues relevant to the development of such an interface. The results of preliminary experiments which evaluate alternative eye processing algorithms and feedback techniques are presented. Candidate interface applications are also discussed.


Author(s):  
Yingnian Wu ◽  
Guojun Yang ◽  
Lin Zhang

We never stop finding better ways to communicate with machines. To interact with computers we tried several ways, from punched tape and tape reader to QWERTY keyboards and command lines, from graphic user interface and mouse to multi-touch screens. The way we communicate with computers or devices are getting more direct and easier. In this paper, we give gesture mouse simulation in human–computer interface based on 3 Gear Systems using two Kinect sensors. The Kinect sensor is the perfect device to achieve dynamic gesture tracking and pose recognition. We hope the 3 Gear Systems can work as a mouse, to be more specific, use gestures to do click, double click and scroll. We use Coordinate Converting Matrix and Kalman Filter to reduce the shaking caused by errors and makes the interface create a better user experience. Finally the future of human–computer interface is discussed.


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