Building a classifier in the personality recognition system based on eye tracking data

2021 ◽  
Vol 1 (2 (6)) ◽  
Author(s):  
Vladislav Chori ◽  
Tetyana Shamanina ◽  
Vitaliy Pavlenko
Keyword(s):  
Eye Tracking ◽  
Motor System ◽  
Recognition System ◽  
Volterra Model ◽  
Biometric Identification ◽  
Eye Tracker ◽  
Transition Functions ◽  
Computational Errors ◽  
Personality Recognition ◽  
Tracking Technology

Identification systems that use biometric characteristics to solve the problem of access to information systems are becoming more common. The article proposes a new method of biometric identification of computer systems users, based on the determination of the integral Volterra model of the human oculo-motor system (OMS) according to experimental research "input-output" using innovative eye tracking technology. With the help of the Tobii Pro TX300 eye tracker, the data of OMC responses to test visual stimuli were obtained, displayed as bright dots on the computer screen at different distances from the start position in the "horizontal" direction. Based on the data obtained, the transition functions of the first, second and third orders of the OMS for two people were determined. To construct a personality classifier, the informativeness of the proposed heuristic features, determined on the basis of the transition functions in terms of the probability of correct recognition (PCR), is investigated. Pairs of features are established that are resistant to computational errors and have a high PCR value - in the range 0.92 - 0.97. Fig.: 8. Table: 5. Bibliography: 30 items. Key words: biometric identification, personality recognition, Volterra model, oculo-motor system, eye tracking technology, informativeness of features, classification.

scholarly journals Identification of the Oculo-Motor System in the Form Volterra Model Based on Eye-Tracking Data

2021 ◽  
Vol 248 ◽  
pp. 01009
Author(s):  
Vitaliy D. Pavlenko ◽  
Tetiana V. Shamanina ◽  
Vladislav V. Chori
Keyword(s):  
Eye Tracking ◽  
Motor System ◽  
Volterra Model ◽  
Innovative Technology ◽  
Tracking Data ◽  
Input Output ◽  
Nonlinear Dynamic Model ◽  
Nonlinear Properties ◽  
Transition Functions ◽  
Identification Tool

Instrumental computing and software tools have been developed for constructing a nonlinear dynamic model of the human oculo-motor system (OMS) based on the data of input-output experiments using test visual stimulus and innovative technology. Volterra model in the form of multidimensional transition functions of the 1st, 2nd and 3rd orders, taking into account the inertial and nonlinear properties of the OMS was used as the identification tool. Eye-tracking data developed in the Matlab environment are tested on real datasets from an experimental study of OMS.

scholarly journals Nonlinear Dynamics Identification of the Oculo-Motor System based on Eye Tracking Data

2021 ◽  
Vol 15 ◽  
pp. 569-577
Author(s):  
Vitaliy Pavlenko ◽  
Tetiana Shamanina ◽  
Vladislav Chori
Keyword(s):  
Eye Tracking ◽  
Motor System ◽  
Real Data ◽  
Software Tools ◽  
Volterra Model ◽  
Innovative Technology ◽  
Tracking Data ◽  
Nonlinear Dynamic Model ◽  
Nonlinear Properties ◽  
Dynamics Identification

Instrumental computing and software tools have been developed for constructing a nonlinear dynamic model of the human oculo-motor system (OMS) based on the data of input–output experiments using test visual stimuli and innovative technology eye tracking. For identification the Volterra model is used in the form of multidimensional transient functions of the 1st, 2nd and 3rd orders, taking into account the inertial and nonlinear properties of the OMS. Software tools for processing eye tracking data developed in the Matlab environment are tested on real data from an experimental study of OMS.

scholarly journals The Power of Eye Tracking in Economics Experiments

2016 ◽  
Vol 106 (5) ◽  
pp. 309-313 ◽  
Author(s):  
Joanna N. Lahey ◽  
Douglas Oxley
Keyword(s):  
Economic Theory ◽  
Data Analysis ◽  
Eye Tracking ◽  
Data Management ◽  
Tracking Data ◽  
Eye Tracker ◽  
Hiring Decisions ◽  
Economics Experiments ◽  
Set Up ◽  
Tracking Technology

Eye tracking is a technology that tracks eye activity including how long and where a participant is looking. As eye tracking technology has improved and become more affordable its use has expanded. We discuss how to design, implement, and analyze an experiment using this technology to study economic theory. Using our experience fielding an experiment to study hiring decisions we guide the reader through how to choose an eye tracker, concerns with participants and set-up, types of outputs, limitations of eye tracking, data management and data analysis. We conclude with suggestions for combining eye tracking with other measurements.

scholarly journals Use of Eye-Tracking Technology by Medical Students Taking the Objective Structured Clinical Examination: Descriptive Study

10.2196/17719 ◽  
2020 ◽  
Vol 22 (8) ◽  
pp. e17719
Author(s):  
M D Grima-Murcia ◽  
Francisco Sanchez-Ferrer ◽  
Jose Manuel Ramos-Rincón ◽  
Eduardo Fernández
Keyword(s):  
Medical Students ◽  
Eye Tracking ◽  
Clinical Examination ◽  
Objective Evaluation ◽  
Objective Structured Clinical Examination ◽  
Eye Tracker ◽  
Clinical Competencies ◽  
Self Evaluation ◽  
Areas Of Interest ◽  
Tracking Technology

Background The objective structured clinical examination (OSCE) is a test used throughout Spain to evaluate the clinical competencies, decision making, problem solving, and other skills of sixth-year medical students. Objective The main goal of this study is to explore the possible applications and utility of portable eye-tracking systems in the setting of the OSCE, particularly questions associated with attention and engagement. Methods We used a portable Tobii Glasses 2 eye tracker, which allows real-time monitoring of where the students were looking and records the voice and ambient sounds. We then performed a qualitative and a quantitative analysis of the fields of vision and gaze points attracting attention as well as the visual itinerary. Results Eye-tracking technology was used in the OSCE with no major issues. This portable system was of the greatest value in the patient simulators and mannequin stations, where interaction with the simulated patient or areas of interest in the mannequin can be quantified. This technology proved useful to better identify the areas of interest in the medical images provided. Conclusions Portable eye trackers offer the opportunity to improve the objective evaluation of candidates and the self-evaluation of the stations used as well as medical simulations by examiners. We suggest that this technology has enough resolution to identify where a student is looking at and could be useful for developing new approaches for evaluating specific aspects of clinical competencies.

scholarly journals Investigating the Use of Eye Fixation Data for Emotion Classification in VR

2021 ◽  
Vol 12 (3) ◽  
pp. 1852-1857
Author(s):  
Lim Jia Zheng Et.al
Keyword(s):  
Eye Tracking ◽  
Classification Accuracy ◽  
Preliminary Investigation ◽  
Support Vector ◽  
Tracking Data ◽  
Eye Tracker ◽  
Emotion Classification ◽  
Learning Classifier ◽  
Rbf Kernel ◽  
Tracking Technology

Eye-tracking technology has become popular recently and widely used in research on emotion recognition since its usability. In this paper, we presented a preliminary investigation on a novelty approach for detecting emotions using eye-tracking data in virtual reality (VR) to classify 4-quadrant of emotions according to russell’scircumplex model of affects. A presentation of 3600 videos is used as the experiment stimuli to evoke the emotions of the user in VR. An add-on eye-tracker within the VR headset is used for the recording and collecting device of eye-tracking data. Fixation data is extracted and chosen as the eye feature used in this investigation. The machine learning classifier is support vector machine (SVM) with radial basis function (RBF) kernel. The best classification accuracy achieved is 69.23%. The findings showed that emotion classification using fixation data has promising results in the prediction accuracy from a four-class random classification.

scholarly journals Use of Eye-Tracking Technology by Medical Students Taking the Objective Structured Clinical Examination: Descriptive Study (Preprint)

2020 ◽  
Author(s):  
M D Grima-Murcia ◽  
Francisco Sanchez-Ferrer ◽  
Jose Manuel Ramos-Rincón ◽  
Eduardo Fernández
Keyword(s):  
Medical Students ◽  
Eye Tracking ◽  
Clinical Examination ◽  
Objective Evaluation ◽  
Objective Structured Clinical Examination ◽  
Eye Tracker ◽  
Clinical Competencies ◽  
Self Evaluation ◽  
Areas Of Interest ◽  
Tracking Technology

BACKGROUND The objective structured clinical examination (OSCE) is a test used throughout Spain to evaluate the clinical competencies, decision making, problem solving, and other skills of sixth-year medical students. OBJECTIVE The main goal of this study is to explore the possible applications and utility of portable eye-tracking systems in the setting of the OSCE, particularly questions associated with attention and engagement. METHODS We used a portable Tobii Glasses 2 eye tracker, which allows real-time monitoring of where the students were looking and records the voice and ambient sounds. We then performed a qualitative and a quantitative analysis of the fields of vision and gaze points attracting attention as well as the visual itinerary. RESULTS Eye-tracking technology was used in the OSCE with no major issues. This portable system was of the greatest value in the patient simulators and mannequin stations, where interaction with the simulated patient or areas of interest in the mannequin can be quantified. This technology proved useful to better identify the areas of interest in the medical images provided. CONCLUSIONS Portable eye trackers offer the opportunity to improve the objective evaluation of candidates and the self-evaluation of the stations used as well as medical simulations by examiners. We suggest that this technology has enough resolution to identify where a student is looking at and could be useful for developing new approaches for evaluating specific aspects of clinical competencies.

scholarly journals IDENTIFICATION OF THE OCULO-MOTOR SYSTEM BASED ON VOLTERRА MODEL AND EYE-TRACKING TECHNOLOGY

2019 ◽  
Vol 9 (4) ◽  
pp. 222-230
Author(s):  
Pavlenko V.D. ◽  
◽  
Broska D.V. ◽  
Chornyi V.S. ◽  
◽  
...  
Keyword(s):  
Eye Tracking ◽  
Motor System ◽  
Tracking Technology

The Utility of Mobile Eye Tracking Technology in the Forensic Analysis of Personal Injury

2016 ◽  
Vol 60 (1) ◽  
pp. 485-488 ◽  
Author(s):  
Stephanie A. Whetsel Borzendowski ◽  
Alan O. Campbell
Keyword(s):  
Eye Tracking ◽  
Human Locomotion ◽  
Forensic Analysis ◽  
Personal Injury ◽  
Eye Tracker ◽  
Final Destination ◽  
Expert Opinions ◽  
Gaze Patterns ◽  
Civil Suit ◽  
Tracking Technology

Early research on gaze patterns during human locomotion indicated that pedestrians tend to focus their gaze on the path 2 – 3 m ahead. More recent research in this area has utilized eye tracking technology to empirically assess eye movements during navigation in naturalistic environments. A similar approach to understanding personal injuries resulting in civil lawsuits has potential utility in the field of forensic human factors. The present study was conducted in the context of gathering empirical data to support expert opinions in a premises liability civil suit. Using a mobile head-mounted eye tracker, the gaze patterns of five individuals was assessed as they walked two paths covering the area where the plaintiff in the subject suit was injured. The results of this analysis indicated that, consistent with previous research, participants fixated the path ahead. Additionally, the duration of fixations on their final destination tended to be longer than fixations on other objects or areas in the forward view. The present study demonstrates the utility of empirical analysis of conditions surrounding a personal injury using eye tracking technology.

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