Development Of Pupil Detection In Eye Movement With Raspberry Pi

Zainal Abidin, Zaheera and Zakaria, Nurul Azma and Harum, Norharyati and Ayop, Zakiah (2018) Development Of Pupil Detection In Eye Movement With Raspberry Pi. International Journal Of Human And Technology Interaction (IJHaTI), 2 (2). pp. 43-48. ISSN 2590-3551

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Abstract

Human Computer Interaction (HCI) is an evolving technology. Eye movement is one of the method of HCI that plays an important role for disease identification and retail advertising effectiveness. Current system has types of movements that can be classified to fixation, rotation and drift, which based on electronic, mechanical or optical or video based movements. Moreover, the eye is authentic and moves faster than input media. In fact, no training is required for normal users. However, the equipment is still expensive. Therefore, a cost effective prototype of pupil detection for eye movement is proposed. This paper introduced a development of pupil detection using fixation length of distance with video based eye movements using Raspberry Pi and web camera. The implementation of software and hardware installations are using Haar Cascade Technique. The system detects the movement of eye and capture the image of pupil using a webcam. Later, the image of pupil is compared at the matching process using String Array Concatenation on Raspberry Pi. The impact of this study is to provide a lower cost device for pupil detection in eye movement for human computer interaction system Human computer interaction refers to different techniques and methods of physical and nonphysical entity in communicating with the computing devices. Physical means the use of software and hardware that can sense and respond to the cyber world for instance sensor to detect heartbeat. Meanwhile, non-physical is the use of frequency signals to transmit data for conversation between computing devices such as human identification. There are various types of instructions to computing system that can be given according to non-physical ways such as approaches to capture eye movement, hand, face or voice, which use for detection, analysis and recognition. Fig. 1 shows human computer interaction as in general illustration.

Item Type:	Article
Uncontrolled Keywords:	Human Computer Interaction, Eye Movement, Video Based Eye Movement, Human Pupil
Divisions:	Faculty of Information and Communication Technology > Department of System and Computer Communication
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	26 Aug 2021 16:24
Last Modified:	26 Aug 2021 16:24
URI:	http://eprints.utem.edu.my/id/eprint/25310
Statistic Details:	View Download Statistic

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