Eye-based user interfaces: Some recent projects

Porta, Marco; Ravarelli, Alice

doi:10.1109/hsi.2010.5514555

Cited by 10 publications

(7 citation statements)

References 6 publications

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“…Hal ini dikarenakan pengguna dapat melakukan interaksi hanya dengan menggunakan pandangan mata terhadap layar sistem, tanpa memerlukan peran perangkat input lain seperti mouse dan keyboard. Dengan demikian, eye tracking diharapkan dapat menggantikan peran mouse dan keyboard pada untuk memilih objek, navigasi, dan modifikasi di berbagai konten multimedia [1,2,3].…”

Section: Pendahuluanunclassified

Algoritma Pemilihan Objek pada Interaksi Antarmuka Berbasis Titik Pandang Mata

Herlina

2020

JuTISI

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Eye tracking provides an alternative input modality to control the interactive contents in computers, particularly in assistive technology and public display. Instead of fixational eye movement, smooth pursuit eye movement has been used for object selection in gaze-based interactive applications. However, some previous works did not consider various similarity measures to match trajectory of eye movement and the presented dynamic stimulus. Furthermore, there was no correction towards the drift of eye movement during object selection. Hence, gaze-based object selection based on smooth pursuit eye movement is still inaccurate and unstable. To fill the research gaps, we proposed a novel approach for accurate gaze-based object selection using linear regression for eye movement’s drifting correction. We measured accuracy, success timing, and stability of object selection to validate performance of the proposed method. From the experimental results, object selection could be performed without the usage of chinrest using Euclidean distance, moving average and linear regression in gaze-based interfaces. The usage of chinrest did not give significant effect on accuracy, success timing and stability of object selection in gaze-based interfaces. The use of linear regression for predicting gaze points and correcting drift of eye movement has improved overall performance of object selection .In future, our results maybe used as a guideline for developing more accurate and more stable interactive applications based on smooth pursuit eye movement.

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Section: Pendahuluanunclassified

Algoritma Pemilihan Objek pada Interaksi Antarmuka Berbasis Titik Pandang Mata

Herlina

2020

JuTISI

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“…Some commercially available eye gaze trackers (e.g. ERICA [28] and Tobii 1750 [8]) provide good accuracy and gaze resolution but their high cost is the major concern [29]. Although, gaze tracking can be performed by using simple webcams but these methods cannot beat high cost commercial gaze trackers in terms of accuracy and resolution.…”

Section: Eye Gaze Trackingmentioning

confidence: 99%

“… Typing by using two-way scanning keyboard and eye blinks & eye-brow raises by the children with severe disabilities at Boston College's Campus [42].  Web surfing by using WeyeB (Web eye Browser) [8], and EyePoint [1]  Game controlling using gaze gestures [13]  Mouse cursor controlling through face tracking [49], head movement [73], and eye gaze [1]  Performing mouse click operations using eye blinks [61], tooth clicker [34], raising eyebrows [42], and clicking by smiling [35].…”

Section: Applications Of Object Acquisition and Selection Techniques mentioning

confidence: 99%

“…Like any system, a human computer interaction system has an input, an output and an algorithm that translates the input to output. The input can be in the form of pressing a button on a keyboard [1], mouse movement [2], audio signal [3], through images/video [4], physiological signal [5,6] etc., and the output can be cursor movement [7], letter or icon selection [8], or another form of device control [9]. The system also provides a feedback in the form of audio and/or visual form so that the user or HCI system can adapt to optimize the communication.…”

Section: Introductionmentioning

confidence: 99%

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Object Acquisition and Selection in Human Computer Interaction Systems: A Review

Singh

Singh²

2019

ijisae

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Object acquisition and selection are two important functions performed in most of the human computer interaction systems. Various techniques are devised by the researchers to perform these operations and the selection of a combination of object acquisition and selection techniques along with a feedback mechanism for a particular interaction system has become a research issue, especially, when the user of these systems are disabled persons. This paper presents a review on object acquisition and selection techniques used in humancomputer interaction systems. The review process reveals that the existing object acquisition and selection techniques are not free from the problems of cursor instability, accuracy, response time, Midas-Touch problem, user fatigue, and the cost of commercially available eyegaze trackers. It has also been observed that most of the interaction systems are available with mouse left-click feature. But, if we want to completely imitate the functions of a computer mouse then the interaction systems should provide all the mouse analogous operations including left click, right click, double click, drag & drop, cursor control, and page scrolling.

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“…This means that the screen is totally available for displaying any content, and no area is occupied by specific interfaces for text input [1].…”

Section: A Literature Surveymentioning

confidence: 99%

Extension of desktop control to robot control by eye blinks using Support Vector Machine (SVM)

Soundari¹,

Nandakumar²,

Nivetha³

et al. 2011

2011 International Conference on Recent Trends in Information Technology (ICRTIT)

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To issues related to Accessibility, which should eliminate, or at least reduce, the distance between disabled people and technology. However, particularly for severely-impaired persons, there are still many challenges that must be overcome. In this paper we present eye tracking as a valuable support for disability in the accomplishment of hands-free tasks. Moreover, we stress the potentials of eye-based interfaces to enhance the user-machine interaction process in "traditional" activities based on keyboard and mouse. Through the description of some of the projects we have recently developed a robot which can move according to the movements of the eye balls and can be triggered with some actions based on the eyeblinks.

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Eye-based user interfaces: Some recent projects

Cited by 10 publications

References 6 publications

Algoritma Pemilihan Objek pada Interaksi Antarmuka Berbasis Titik Pandang Mata

Algoritma Pemilihan Objek pada Interaksi Antarmuka Berbasis Titik Pandang Mata

Object Acquisition and Selection in Human Computer Interaction Systems: A Review

Extension of desktop control to robot control by eye blinks using Support Vector Machine (SVM)

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