Towards Designing Diegetic Gaze in Games: The Use of Gaze Roles and Metaphors

Gómez, Argenis Ramírez; Lankes, Michael

doi:10.3390/mti3040065

Cited by 8 publications

(1 citation statement)

References 62 publications

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“…A generic representation of such techniques is shown in Figure 1. In addition to its application in advanced driving assistance systems (ADAS), gaze tracking is also critical in several other applications, such gaze-dependent graphical displays, gaze-based user interface, investigations of human cognitive states, and human attention studies [17][18][19].…”

Section: Background and Motivationmentioning

confidence: 99%

Gaze and Eye Tracking: Techniques and Applications in ADAS

Khan

Lee

2019

Sensors

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Tracking drivers’ eyes and gazes is a topic of great interest in the research of advanced driving assistance systems (ADAS). It is especially a matter of serious discussion among the road safety researchers’ community, as visual distraction is considered among the major causes of road accidents. In this paper, techniques for eye and gaze tracking are first comprehensively reviewed while discussing their major categories. The advantages and limitations of each category are explained with respect to their requirements and practical uses. In another section of the paper, the applications of eyes and gaze tracking systems in ADAS are discussed. The process of acquisition of driver’s eyes and gaze data and the algorithms used to process this data are explained. It is explained how the data related to a driver’s eyes and gaze can be used in ADAS to reduce the losses associated with road accidents occurring due to visual distraction of the driver. A discussion on the required features of current and future eye and gaze trackers is also presented.

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Section: Background and Motivationmentioning

confidence: 99%

Gaze and Eye Tracking: Techniques and Applications in ADAS

Khan

Lee

2019

Sensors

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EEG Based Automated Detection of Six Different Eye Movement Conditions for Implementation in Personal Assistive Application

Paul

Chakraborty

Sadhukhan

et al. 2022

Wireless Pers Commun

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Contemporary human-machine-interfaces (HMIs) employ a wide range of human expressions to provide assistive support to the elderly and disabled population. Based on the disability type, expressions conveyed in terms of eye movements are often found to provide the most e cient way of communication. Nowadays, standard Electroencephalogram (EEG) based arrangements, used to analyze neurological states are also being adopted for the detection of eye movements. Although, a majority of the EEG-based state-of-the-arts researches either detects eye-movements in a lesser direction or uses a higher feature dimension with limited classi cation accuracy. In this study, a robust, simple and automated algorithm is proposed that uses the analysis of the EEG signal to classify six different types of eye movement. The algorithm uses discrete wavelet transform (DWT) on the EEG signals acquired from six different leads to eliminate a wide range of noise and artefacts. Then, two features per lead are extracted from the reconstructed wavelet coe cients and combined to form a binary feature map. Finally, a unique feature obtained from the calculated weighted sum of the binary map is used to classify six types of eye movements via a threshold-based technique. The algorithm presents high average accuracy (Acc), sensitivity (Se), speci city (Sp) of 95.85%, 95.83% and 95.83% respectively, using a single feature value only. Compared to other state-of-the-art methods, the adopted simple methodologies and the obtained results indicate the immense potential of the proposed algorithm to be implemented in personal assistive applications.

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Exploiting EEG Signals for Eye Motion Tracking

Kovtun

Radchenko

Netreba

et al. 2020

2020 IEEE East-West Design &Amp; Test Symposium (EWDTS)

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Human eye tracking devices can help to investigate principles of processing visual information by humans. The attention focus movement during the gaze can be used for behavioural analysis of humans. In this work we describe our experimental system that we designed for synchronous recording of electroencephalographic signals, events of external tests and gaze direction. As external tests we used virtual cognitive tests. We investigated the possibility to exploit electroencephalographic signals for eye motion tracking. Our experimental system is a first step for the designing an automatic eye tracking system and can additionally be used as a laboratory equipment for teaching students.

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Towards Designing Diegetic Gaze in Games: The Use of Gaze Roles and Metaphors

Cited by 8 publications

References 62 publications

Gaze and Eye Tracking: Techniques and Applications in ADAS

Gaze and Eye Tracking: Techniques and Applications in ADAS

EEG Based Automated Detection of Six Different Eye Movement Conditions for Implementation in Personal Assistive Application

Exploiting EEG Signals for Eye Motion Tracking

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