Face Recognition Authenticated Eye Blink Communication - A Framework  
  Authors : Jadesola Adejoke Emmanuel; Tunji Samuel Ibiyemi

 

The current Human-Computer-Interaction (HCI) communication media could not be said to be as users-friendly as they are machine–friendly, but efforts are ongoing to bridge the gap and enhance more man-centred interaction with machines. Though these efforts are generating some positive results, yet, innovative development and deployment is still very low. Therefore, this paper presents a framework of a cutting-edge deployment of natural communication media in HCI. By coded eye-blinks but firstly the person who wants to interact with the machine is authenticated via automatic face recognition. Once authenticated, the coded-eye blinks effect an actionable operation. This operation automatically dials some pre-selected phone numbers relaying a pre-recorded ‘Save-Our-Soul’ message by person under security threat or by an incapacitated medical patient. The methodology used is fully described in this paper.

 

Published In : IJCAT Journal Volume 2, Issue 12

Date of Publication : December 2015

Pages : 463 - 468

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Publication Link :Face Recognition Authenticated Eye Blink Communication - A Framework

 

 

 

Jadesola Adejoke Emmanuel : received a BSc, Computer Science from university of Lagos, Nigeria, an M.Sc in Computer Science from University of Agriculture, Abeokuta, Nigeria. She is currently a PhD student PhD in Computer Science at University of Ilorin, Nigeria she is a Lecturer I, Bingham University Karu, Nasarawa State Nigeria. . Her area of specialization is Human. Computer Interaction with special interest in Bioinformatics and IT in agriculture.

Tunji Samuel Ibiyemi : obtained his masters and doctoral degrees from the University of Bradford, England. He was the head of Department of Electrical Engineering at University of Ilorin, Ilorin for more than 12 years and the pioneer Dean of College of Science and Technology at Covenant University, Ota, Ogun State. He is currently the Vice Chancellor of The Achievers University, Owo, Nigeria.

 

 

 

 

 

 

 

Human computer interaction

eye blinking

face recognition

man-centred communication

The application is been currently developed. We hope to extend this work to more actionable eye blink communications. In a state of great insecurity in the nation, this system comes handy for security alerts and call to relevant authorities. Also with the present outbreak of highly communicable diseases like Ebola, the attendant medical personnel will not be able to hang around all through so a patient can easily make a call on the medical personnel with a simple eye blink no matter his state of health.

 

 

 

 

 

 

 

 

 

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