Human to television interface for disabled people based on EOG

Joint Authors

Saman, Faris Ismat
Hadi, Muhammad Subhi

Source

Journal of Dohuk University

Issue

Vol. 21, Issue 1 العلوم الصرفة و الهندسية (30 Jun. 2018), pp.53-64, 12 p.

Publisher

University of Duhok

Publication Date

2018-06-30

Country of Publication

Iraq

No. of Pages

12

Main Subjects

Electronic engineering

Abstract EN

The objective of this paper is to design Human to Television Interface (HTI) system for disabled people, who cannot control their hands.

The proposed HTI has a new feature in comparison with the most recent HTI systems.

The user can control the basic operations of TV remote controller such as changing channels, controlling volume.

Besides, two sequences of eye-movements are considered to allow the user to deactivate/activate the HTI system during watching TV.

These two sequences are designed using finite state machine, and implemented in LabVIEW.

In this paper, a new pulse detection method is developed to identify four eye-moments from the EOG signals such as looking up, down, right and left.

In this new method, two techniques are considered to enhance the performance of HTI system.

The First technique is based on using two AC-coupled channels to overcome the problem of baseline drifting in the EOG signals.

Pulse Timer Block is the second technique which is used to reduce the false identification of the EOG pulses due to the effect of head movements.

The performance of the HTI system was tested by three male and three female participants.

The results show that the average performance is about HR=93.41%.

American Psychological Association (APA)

Saman, Faris Ismat& Hadi, Muhammad Subhi. 2018. Human to television interface for disabled people based on EOG. Journal of Dohuk University،Vol. 21, no. 1 العلوم الصرفة و الهندسية, pp.53-64.
https://search.emarefa.net/detail/BIM-898380

Modern Language Association (MLA)

Saman, Faris Ismat& Hadi, Muhammad Subhi. Human to television interface for disabled people based on EOG. Journal of Dohuk University Vol. 21, no. 1 Pure and Engineering Sciences (2018), pp.53-64.
https://search.emarefa.net/detail/BIM-898380

American Medical Association (AMA)

Saman, Faris Ismat& Hadi, Muhammad Subhi. Human to television interface for disabled people based on EOG. Journal of Dohuk University. 2018. Vol. 21, no. 1 العلوم الصرفة و الهندسية, pp.53-64.
https://search.emarefa.net/detail/BIM-898380

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 52-53

Record ID

BIM-898380