Eye Tracking Based Control System for Natural Human-Computer Interaction

Zhang, Xuebai; Liu, Xiao Long; Yuan, Shyan-Ming; Lin, Shu Fan

doi:10.1155/2017/5739301

Cited by 66 publications

(37 citation statements)

References 19 publications

(20 reference statements)

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“…Several methods of measuring such autonomic responses are available and used in the literature, such as: fMRI (Akdeniz, 2017); electroencephalography/EEG (Gao, Wang, & Zhang, 2016); magnetoencephalography/MEG (Haumann, Parkkonen, Kliuchko, Vuust, & Brattico, 2016); positron emission tomography (PET); eye‐tracking and pupil dilatation (Zhang, Liu, Yuan, & Lin, 2017); electrodermal activity (Guerreiro et al, 2015)); electrocardiography; electromyography (Walla, Brenner, & Koller, 2011); analysis of blush, blinking, breathing or heartbeat (Camerer, Loewenstein, & Prelec, 2004; Fisher, Chin, & Klitzman, 2010). For this research, arousal was measured through electrodermal response (EDA) and its valence was measured by using the SAM (Bradley & Lang, 1994).…”

Section: Methodsmentioning

confidence: 99%

Autonomic emotional responses to food: Private label brands versus National Brands

Rita

Guerreiro

Omarji

2020

J of Consumer Behaviour

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Private label brands (PLB) have been increasing both perceived quality and consumer acceptance in the last decades, which has compelled national brands (NBs) to invest in maintaining consumer confidence and preference. Recent economic crisis led consumers to become more price sensitive and more worried about cutting on daily needs, such as food consumption. However, taste is still one of the most important factor of decision for consumers regarding food products. Despite such importance of taste in decision‐making, most research on consumer senses still relies on traditional methods of surveying consumers, which are unable to measure the consumers' autonomic emotional reactions. The current paper uses a psychophysiological method to measure emotional arousal–electrodermal activity (EDA) and a self‐assessment manikin to measure pleasure. Emotions are then tested to assess their influence on perceived quality and willingness to buy (WTB). Findings show that NB are still perceived by consumers as superior, but consumers' WTB is not higher for NB. These results show that consumers' decisions are not always in favor of the product which is perceived to have a better quality which suggests that the “quality gap” is fading and the “branding gap” is gaining momentum.

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Section: Methodsmentioning

confidence: 99%

Autonomic emotional responses to food: Private label brands versus National Brands

Rita

Guerreiro

Omarji

2020

J of Consumer Behaviour

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“…Recently, with the popularity of low-cost eye trackers and open source eye movement data analytic software, one of the significant areas of progress in eye movement and concentration research is that we can now obtain eye movement data more precisely and easily [2]. A large number of studies have been focused on the eye movement research of evaluating the usability of a system, studying interface design and implementing remote manipulation applications for those with disabilities [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Eye Movement Analysis of Digital Learning Content for Educational Innovation

et al. 2020

Self Cite

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Eye movement technology is highly valued for evaluating and improving digital learning content. In this paper, an educational innovation study of eye movement behaviors on digital learning content is presented. We proposed three new eye movement metrics to explain eye movement behaviors. In the proposed method, the digital content, which were slide-deck-like works, were classified into page categories according to the characteristics of each page. We interpreted the subjects’ eye movement behaviors on the digital slide decks. After data regularization and filtering, the results were analyzed to give directions for how to design an attractive digital learning content from the viewpoint of eye movement behaviors. The relationships between the subjects’ evaluation scores, page categories, and eye movement metrics are discussed. The results demonstrated that the proposed fixation time percentage (FTP) was a representative, strong, and stable eye movement metric to measure the subjects’ interest. Moreover, a reasonable portion of semantic content had a positive influence on the subjects’ interest.

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“…With the rapid development of modern computer technology, Multi-Object Tracking (MOT) algorithms have received the attention of many research scholars. The main task of the multi-object tracking algorithm is to track and label the trajectory of each target in a scene through a video sequence, which is widely used in indoor security [ 1 , 2 ], video surveillance [ 3 , 4 ], and human-computer interaction [ 5 , 6 ]. Currently, MOT algorithms are mainly used in surveillance systems for indoor public places.…”

Section: Introductionmentioning

confidence: 99%

Multi-Object Tracking Algorithm for RGB-D Images Based on Asymmetric Dual Siamese Networks

Zhang

Yang

Xin

et al. 2020

Sensors

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Currently, intelligent security systems are widely deployed in indoor buildings to ensure the safety of people in shopping malls, banks, train stations, and other indoor buildings. Multi-Object Tracking (MOT), as an important component of intelligent security systems, has received much attention from many researchers in recent years. However, existing multi-objective tracking algorithms still suffer from trajectory drift and interruption problems in crowded scenes, which cannot provide valuable data for managers. In order to solve the above problems, this paper proposes a Multi-Object Tracking algorithm for RGB-D images based on Asymmetric Dual Siamese networks (ADSiamMOT-RGBD). This algorithm combines appearance information from RGB images and target contour information from depth images. Furthermore, the attention module is applied to repress the redundant information in the combined features to overcome the trajectory drift problem. We also propose a trajectory analysis module, which analyzes whether the head movement trajectory is correct in combination with time-context information. It reduces the number of human error trajectories. The experimental results show that the proposed method in this paper has better tracking quality on the MICC, EPFL, and UMdatasets than the previous work.

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Eye Tracking Based Control System for Natural Human-Computer Interaction

Cited by 66 publications

References 19 publications

Autonomic emotional responses to food: Private label brands versus National Brands

Autonomic emotional responses to food: Private label brands versus National Brands

Eye Movement Analysis of Digital Learning Content for Educational Innovation

Multi-Object Tracking Algorithm for RGB-D Images Based on Asymmetric Dual Siamese Networks

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