New data processing and calibration method for an eye tracking device

2000 ◽  
Author(s):  
Chern S. Lin ◽  
Kai-Chieh Chang ◽  
Hong-Jueng King ◽  
Chung-Chiu Wu ◽  
Chiao-Hsiang Chen
Keyword(s):  
Data Processing ◽  
Eye Tracking ◽  
Calibration Method ◽  
Tracking Device

A new data processing and calibration method for an eye-tracking device pronunciation system

2002 ◽  
Vol 34 (5) ◽  
pp. 405-413 ◽  
Author(s):  
Chern-Sheng Lin ◽  
Kai-Chieh Chang ◽  
Young-Jou Jain
Keyword(s):  
Data Processing ◽  
Eye Tracking ◽  
Calibration Method ◽  
Tracking Device

scholarly journals A Fast and Effective System for Analysis of Optokinetic Waveforms with a Low-Cost Eye Tracking Device

Healthcare ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 10
Author(s):  
Chong-Bin Tsai ◽  
Wei-Yu Hung ◽  
Wei-Yen Hsu
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Low Cost ◽  
Saccadic Eye Movements ◽  
Slow Phase ◽  
Eye Tracker ◽  
Effective System ◽  
Tracking Device ◽  
Traditional Approaches

Optokinetic nystagmus (OKN) is an involuntary eye movement induced by motion of a large proportion of the visual field. It consists of a “slow phase (SP)” with eye movements in the same direction as the movement of the pattern and a “fast phase (FP)” with saccadic eye movements in the opposite direction. Study of OKN can reveal valuable information in ophthalmology, neurology and psychology. However, the current commercially available high-resolution and research-grade eye tracker is usually expensive. Methods & Results: We developed a novel fast and effective system combined with a low-cost eye tracking device to accurately quantitatively measure OKN eye movement. Conclusions: The experimental results indicate that the proposed method achieves fast and promising results in comparisons with several traditional approaches.

scholarly journals The Recreational Trail of the El Caminito del Rey Natural Tourist Attraction, Spain: Determination of Hikers’ Flow

2021 ◽  
Vol 18 (4) ◽  
pp. 1809
Author(s):  
Gemma María Gea-García ◽  
Carmelo Fernández-Vicente ◽  
Francisco J. Barón-López ◽  
Jesús Miranda-Páez
Keyword(s):  
Eye Tracking ◽  
Circulation Pattern ◽  
Travel Speed ◽  
Outdoor Activity ◽  
Efficient Management ◽  
Exponential Increase ◽  
The Mean ◽  
Tracking Device ◽  
Tracking Devices

Hiking is a very popular outdoor activity, and has led to an exponential increase in the number of visitors to natural spaces. The objective of this study was to analyze the circulation pattern of visitors to the Caminito del Rey trail, based on the three zones into which the trail can be divided. The sample consisted of 1582 hikers distributed into three different profiles. Of these, 126 utilized an eye-tracking device during the hike, while, for the rest (1456), only their travel speed along the trail was recorded. The use of eye tracking devices identified a greater number of interesting landscapes located in zones 1 and 3 of the trail, and it was observed that the mean travel speed was greater for zone 2 (42.31 m/min) (p < 0.01). Additionally, when the three different visitor profiles were analyzed, significant differences were found between the mean travel speeds according to sectors (p < 0.05). This information is crucial for more efficient management of the trail, as it allows for the development of measures to control and regulate the flow of visitors according to zone, and the design of additional strategies to increase the awareness of the hiker about specific areas of the hike.

Understanding Consumer Behavior Through Eye-Tracking

2020 ◽  
pp. 65-81
Author(s):  
H. Serhat Cerci ◽  
A. Selcuk Koyluoglu
Keyword(s):  
Consumer Behavior ◽  
Visual Attention ◽  
Eye Tracking ◽  
Future Research ◽  
Experimental Laboratory ◽  
The Individual ◽  
Tracking Device ◽  
Tracking Module ◽  
Individual Examination

The purpose of this chapter, which is designed to measure where and how the consumer focuses in an advertising brochure, which visual is more striking, and how much eye strain (twitch) it takes, is to measure the density and visual attention of the eyes through the eye-tracking device during the individual examination. For this study, an experimental laboratory for neuromarketing research was used. After watching the videos and images of the participants in the eye-tracking module, the general evaluations were taken to determine what they remembered, and a comparison opportunity was born. According to the findings, logos, and photographs are more effective than texts. Viewers read large text and skip small text. Suggestions for future research are presented in the chapter.

The Impact of Gaze Controlled Technology on Quality of Life

2012 ◽  
pp. 48-54 ◽  
Author(s):  
Valentina Pasian ◽  
Fulvio Corno ◽  
Isabella Signorile ◽  
Laura Farinetti
Keyword(s):  
Quality Of Life ◽  
Eye Tracking ◽  
Progressive Disease ◽  
Gaze Control ◽  
Communication Method ◽  
Tracking Device ◽  
The Impact

This chapter presents the process of introducing an eye tracking device to impaired users. It reports results from a gaze control user trial conducted with people for whom gaze control is a necessity due to their current condition or for whom it will soon become a necessity because of a progressive disease. Special attention is paid to the impact of this new communication method on their quality of life.

Determining Gaze Behavior Patterns in On-Screen Testing

2020 ◽  
pp. 073563312097861
Author(s):  
Marko Pejić ◽  
Goran Savić ◽  
Milan Segedinac
Keyword(s):  
Eye Tracking ◽  
Eye Movement ◽  
Undergraduate Students ◽  
Behavior Pattern ◽  
Machine Learning Techniques ◽  
Software System ◽  
Gaze Behavior ◽  
Gaze Patterns ◽  
Presentation Methods ◽  
Tracking Device

This study proposes a software system for determining gaze patterns in on-screen testing. The system applies machine learning techniques to eye-movement data obtained from an eye-tracking device to categorize students according to their gaze behavior pattern while solving an on-screen test. These patterns are determined by converting eye movement coordinates into a sequence of regions of interest. The proposed software system extracts features from the sequence and performs clustering that groups students by their gaze pattern. To determine gaze patterns, the system contains components for communicating with an eye-tracking device, collecting and preprocessing students’ gaze data, and visualizing data using different presentation methods. This study presents a methodology to determine gaze patterns and the implementation details of the proposed software. The research was evaluated by determining the gaze patterns of 51 undergraduate students who took a general knowledge test containing 20 questions. This study aims to provide a software infrastructure that can use students’ gaze patterns as an additional indicator of their reading behaviors and their processing attention or difficulty, among other factors.

scholarly journals Division of Area of Fixation Interest for Real Vehicle Driving Tests

2017 ◽  
Vol 2017 ◽  
pp. 1-10
Author(s):  
Qian Xu ◽  
Tang-yi Guo ◽  
Fei Shao ◽  
Xue-jiao Jiang
Keyword(s):  
Eye Tracking ◽  
Clustering Algorithm ◽  
Mean Shift ◽  
Characteristic Analysis ◽  
Novice Drivers ◽  
Area Of Interest ◽  
Visual Characteristic ◽  
Fixation Points ◽  
Tracking Device ◽  
Real Vehicle

The area of interest (AOI) reflects the degree of attention of a driver while driving. The division of AOI is visual characteristic analysis required in both real vehicle tests and simulated driving scenarios. Some key eye tracking parameters and their transformations can only be obtained after the division of AOI. In this study, 9 experienced and 7 novice drivers participated in real vehicle driving tests. They were asked to drive along a freeway section and a highway section, wearing the Dikablis eye tracking device. On average, 8132 fixation points for each driver were extracted. After coordinate conversion, the MSAP (Mean Shift Affinity Propagation) method is proposed to classify the distribution of fixation points into a circle type and a rectangle type. Experienced drivers’ fixation behavior falls into the circle type, in which fixation points are concentrated. Novice drivers’ fixation points, which are decentralized, are illustrated in the rectangle type. In the clustering algorithm, the damping coefficient λ determines the algorithm convergence, and the deviation parameter p mainly affects the number of clusters, where larger p values generate more clusters. This study not only provides the cluster type and cluster counts, but also presents the borderlines for each cluster. The findings provide significant contribution to eye tracking research.

A systematic literature review on the usage of eye-tracking in understanding process models

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rafael Batista Duarte ◽  
Denis Silva da Silveira ◽  
Vinícius de Albuquerque Brito ◽  
Charlie Silva Lopes
Keyword(s):  
Literature Review ◽  
Eye Tracking ◽  
Business Process ◽  
Systematic Literature Review ◽  
Data Extraction ◽  
Process Models ◽  
Future Research ◽  
Comprehensive Overview ◽  
Content Type ◽  
Tracking Device

PurposeBusiness process modeling can involve multiple stakeholders, so it is natural that problems may occur during the designing and understanding processes. One way to perceive these problems is to evaluate the comprehension of business process models through the collection of data related to the readers' eye movement via an eye-tracking device. The purpose of this paper is to provide a comprehensive overview of the use of eye-trackers in understanding process models and to offer a research roadmap to challenge the community to address the identified limitations and open issues that require further investigation.Design/methodology/approachTo achieve this goal, Systematic Literature Review (SLR) was performed following good practices from the Evidence-Based Software Engineering's (EBSE) field.FindingsThis study resulted in 10 primary studies selected for analysis and data extraction, from the 1,482 initially retrieved. The major findings indicate that the business process community still benefits little from the use of eye-tracking, e.g. not offering sufficient support for inexperienced designers and not having an explicit standardization in its use. These and other findings are synthesized in a research roadmap which results would benefit researchers and practitioners.Originality/valueIn the studies found, the methods used to explore eyes' movement in process models' comprehension analysis were presented as an advantage of the current study. Additionally, another aspect presented in this SRL as an originality is presenting a set of open questions, suggesting valuable topics for future research through a research script (research roadmap).

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