scholarly journals Gaze Estimation Method Using Analysis of Electrooculogram Signals and Kinect Sensor

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Keiko Sakurai ◽  
Mingmin Yan ◽  
Koichi Tanno ◽  
Hiroki Tamura
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Estimation Method ◽  
Gaze Estimation ◽  
Strongly Correlated ◽  
Kinect Sensor ◽  
Tracking Method ◽  
Estimation System ◽  
Communication Methods ◽  
Very High

A gaze estimation system is one of the communication methods for severely disabled people who cannot perform gestures and speech. We previously developed an eye tracking method using a compact and light electrooculogram (EOG) signal, but its accuracy is not very high. In the present study, we conducted experiments to investigate the EOG component strongly correlated with the change of eye movements. The experiments in this study are of two types: experiments to see objects only by eye movements and experiments to see objects by face and eye movements. The experimental results show the possibility of an eye tracking method using EOG signals and a Kinect sensor.

scholarly journals A New Gaze Estimation Method Based on Homography Transformation Derived from Geometric Relationship

2020 ◽  
Vol 10 (24) ◽  
pp. 9079
Author(s):  
Kaiqing Luo ◽  
Xuan Jia ◽  
Hua Xiao ◽  
Dongmei Liu ◽  
Li Peng ◽  
...  
Keyword(s):  
Estimation Method ◽  
Gaze Estimation ◽  
Estimation Model ◽  
Experimental Accuracy ◽  
Unknown Parameters ◽  
The Gaze ◽  
Marquardt Algorithm ◽  
Mapping Equation ◽  
Estimation System ◽  
Homography Transformation

In recent years, the gaze estimation system, as a new type of human-computer interaction technology, has received extensive attention. The gaze estimation model is one of the main research contents of the system. The quality of the model will directly affect the accuracy of the entire gaze estimation system. To achieve higher accuracy even with simple devices, this paper proposes an improved mapping equation model based on homography transformation. In the process of experiment, the model mainly uses the “Zhang Zhengyou calibration method” to obtain the internal and external parameters of the camera to correct the distortion of the camera, and uses the LM(Levenberg-Marquardt) algorithm to solve the unknown parameters contained in the mapping equation. After all the parameters of the equation are determined, the gaze point is calculated. Different comparative experiments are designed to verify the experimental accuracy and fitting effect of this mapping equation. The results show that the method can achieve high experimental accuracy, and the basic accuracy is kept within 0.6∘. The overall trend shows that the mapping method based on homography transformation has higher experimental accuracy, better fitting effect and stronger stability.

scholarly journals Practical Use of the Eye Camera in Pedagogical Research (Processing of Selected Data Using the Eye Tracking Method)

2016 ◽  
Vol 6 (1) ◽  
pp. 70-77
Author(s):  
Jana Škrabánková
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Primary School ◽  
School Children ◽  
Gifted Students ◽  
Research Data ◽  
Primary School Children ◽  
Tracking Method ◽  
Pedagogical Research

AbstractThe paper deals with author’s pilot experiments using the eye tracking method for the primary school children examination. This method enables to gain a large amount of research data based on the tested people’s eye movements monitoring. In the paper, there are processed chosen research data of four gifted students’ examination in the context of their mathematical and logical intelligence.

scholarly journals Continuous Driver’s Gaze Zone Estimation Using RGB-D Camera

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1287 ◽  
Author(s):  
Yafei Wang ◽  
Guoliang Yuan ◽  
Zetian Mi ◽  
Jinjia Peng ◽  
Xueyan Ding ◽  
...  
Keyword(s):  
Real World ◽  
Estimation Method ◽  
Feature Space ◽  
Image Feature ◽  
Gaze Estimation ◽  
Head Pose ◽  
Pose Tracking ◽  
Angle Space ◽  
Long Time ◽  
Estimation System

The driver gaze zone is an indicator of a driver’s attention and plays an important role in the driver’s activity monitoring. Due to the bad initialization of point-cloud transformation, gaze zone systems using RGB-D cameras and ICP (Iterative Closet Points) algorithm do not work well under long-time head motion. In this work, a solution for a continuous driver gaze zone estimation system in real-world driving situations is proposed, combining multi-zone ICP-based head pose tracking and appearance-based gaze estimation. To initiate and update the coarse transformation of ICP, a particle filter with auxiliary sampling is employed for head state tracking, which accelerates the iterative convergence of ICP. Multiple templates for different gaze zone are applied to balance the templates revision of ICP under large head movement. For the RGB information, an appearance-based gaze estimation method with two-stage neighbor selection is utilized, which treats the gaze prediction as the combination of neighbor query (in head pose and eye image feature space) and linear regression (between eye image feature space and gaze angle space). The experimental results show that the proposed method outperforms the baseline methods on gaze estimation, and can provide a stable head pose tracking for driver behavior analysis in real-world driving scenarios.

Eye movements in sports research and practice: Immersive technologies as optimal environments for the study of gaze behaviour

2020 ◽  
Author(s):  
David Harris ◽  
Mark Wilson ◽  
Tim Holmes ◽  
Toby de Burgh ◽  
Samuel James Vine
Keyword(s):  
Virtual Reality ◽  
Eye Movements ◽  
Eye Tracking ◽  
Visual Information ◽  
Successful Performance ◽  
Experimental Control ◽  
Research And Practice ◽  
Gaze Behaviour ◽  
Immersive Technologies

Head-mounted eye tracking has been fundamental for developing an understanding of sporting expertise, as the way in which performers sample visual information from the environment is a major determinant of successful performance. There is, however, a long running tension between the desire to study realistic, in-situ gaze behaviour and the difficulties of acquiring accurate ocular measurements in dynamic and fast-moving sporting tasks. Here, we describe how immersive technologies, such as virtual reality, offer an increasingly compelling approach for conducting eye movement research in sport. The possibility of studying gaze behaviour in representative and realistic environments, but with high levels of experimental control, could enable significant strides forward for eye tracking in sport and improve understanding of how eye movements underpin sporting skills. By providing a rationale for virtual reality as an optimal environment for eye tracking research, as well as outlining practical considerations related to hardware, software and data analysis, we hope to guide researchers and practitioners in the use of this approach.

scholarly journals Comparative Analysis of Kinect-Based and Oculus-Based Gaze Region Estimation Methods in a Driving Simulator

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 26
Author(s):  
David González-Ortega ◽  
Francisco Javier Díaz-Pernas ◽  
Mario Martínez-Zarzuela ◽  
Míriam Antón-Rodríguez
Keyword(s):  
Virtual Reality ◽  
Comparative Analysis ◽  
Driving Simulator ◽  
Estimation Method ◽  
Estimation Methods ◽  
Gaze Estimation ◽  
Driving Simulators ◽  
Oculus Rift ◽  
Gaze Patterns ◽  
And Performance

Driver’s gaze information can be crucial in driving research because of its relation to driver attention. Particularly, the inclusion of gaze data in driving simulators broadens the scope of research studies as they can relate drivers’ gaze patterns to their features and performance. In this paper, we present two gaze region estimation modules integrated in a driving simulator. One uses the 3D Kinect device and another uses the virtual reality Oculus Rift device. The modules are able to detect the region, out of seven in which the driving scene was divided, where a driver is gazing at in every route processed frame. Four methods were implemented and compared for gaze estimation, which learn the relation between gaze displacement and head movement. Two are simpler and based on points that try to capture this relation and two are based on classifiers such as MLP and SVM. Experiments were carried out with 12 users that drove on the same scenario twice, each one with a different visualization display, first with a big screen and later with Oculus Rift. On the whole, Oculus Rift outperformed Kinect as the best hardware for gaze estimation. The Oculus-based gaze region estimation method with the highest performance achieved an accuracy of 97.94%. The information provided by the Oculus Rift module enriches the driving simulator data and makes it possible a multimodal driving performance analysis apart from the immersion and realism obtained with the virtual reality experience provided by Oculus.

scholarly journals Neurogastronomy as a Tool for Evaluating Emotions and Visual Preferences of Selected Food Served in Different Ways

Foods ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 354
Author(s):  
Jakub Berčík ◽  
Johana Paluchová ◽  
Katarína Neomániová
Keyword(s):  
Eye Movements ◽  
Air Quality ◽  
Eye Tracking ◽  
Facial Expressions ◽  
Visual Design ◽  
Personal Interview ◽  
Visual Preferences ◽  
New Perspective ◽  
Corporate Resources ◽  
Face Reading

The appearance of food provides certain expectations regarding the harmonization of taste, delicacy, and overall quality, which subsequently affects not only the intake itself but also many other features of the behavior of customers of catering facilities. The main goal of this article is to find out what effect the visual design of food (waffles) prepared from the same ingredients and served in three different ways—a stone plate, street food style, and a white classic plate—has on the consumer’s preferences. In addition to the classic tablet assistance personal interview (TAPI) tools, biometric methods such as eye tracking and face reading were used in order to obtain unconscious feedback. During testing, air quality in the room by means of the Extech device and the influence of the visual design of food on the perception of its smell were checked. At the end of the paper, we point out the importance of using classical feedback collection techniques (TAPI) and their extension in measuring subconscious reactions based on monitoring the eye movements and facial expressions of the respondents, which provides a whole new perspective on the perception of visual design and serving food as well as more effective targeting and use of corporate resources.

Gaze estimation method based on an aspherical model of the cornea

2010 ◽  
Author(s):  
Takashi Nagamatsu ◽  
Yukina Iwamoto ◽  
Junzo Kamahara ◽  
Naoki Tanaka ◽  
Michiya Yamamoto
Keyword(s):  
Estimation Method ◽  
Gaze Estimation

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.

Effects of aging and noncanonical form presentation on idiom processing: Evidence from eye tracking

2020 ◽  
pp. 1-27
Author(s):  
Katja I. Haeuser ◽  
Shari Baum ◽  
Debra Titone
Keyword(s):  
Older Adults ◽  
Eye Movements ◽  
Eye Tracking ◽  
Healthy Aging ◽  
Idiom Comprehension ◽  
First Pass ◽  
Effects Of Aging ◽  
Open Question ◽  
Idiom Processing ◽  
Noncanonical Form

Abstract Comprehending idioms (e.g., bite the bullet) requires that people appreciate their figurative meanings while suppressing literal interpretations of the phrase. While much is known about idioms, an open question is how healthy aging and noncanonical form presentation affect idiom comprehension when the task is to read sentences silently for comprehension. Here, younger and older adults read sentences containing idioms or literal phrases, while we monitored their eye movements. Idioms were presented in a canonical or a noncanonical form (e.g., bite the iron bullet). To assess whether people integrate figurative or literal interpretations of idioms, a disambiguating region that was figuratively or literally biased followed the idiom in each sentence. During early stages of reading, older adults showed facilitation for canonical idioms, suggesting a greater sensitivity to stored idiomatic forms. During later stages of reading, older adults showed slower reading times when canonical idioms were biased toward their literal interpretation, suggesting they were more likely to interpret idioms figuratively on the first pass. In contrast, noncanonical form presentation slowed comprehension of figurative meanings comparably in younger and older participants. We conclude that idioms may be more strongly entrenched in older adults, and that noncanonical form presentation slows comprehension of figurative meanings.

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