500,000 Images Closer to Eyelid and Pupil Segmentation

Fuhl, Wolfgang; Kasneci, Enkelejda

doi:10.1007/978-3-030-29888-3_27

Cited by 39 publications

(32 citation statements)

References 54 publications

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“…Another challenge is that most algorithms are bound to eye tracker settings and do not work even if the signal is not very noisy [ 151 , 152 ]. To overcome these limitations, several machine learning approaches have been developed to allow the algorithm to be retrained for any type of eye tracking system [ 140 , 153 , 154 , 155 ].…”

Section: Resultsmentioning

confidence: 99%

Application of Eye Tracking Technology in Aviation, Maritime, and Construction Industries: A Systematic Review

Martinez-Marquez

Pingali

Panuwatwanich

et al. 2021

Sensors

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Most accidents in the aviation, maritime, and construction industries are caused by human error, which can be traced back to impaired mental performance and attention failure. In 1596, Du Laurens, a French anatomist and medical scientist, said that the eyes are the windows of the mind. Eye tracking research dates back almost 150 years and it has been widely used in different fields for several purposes. Overall, eye tracking technologies provide the means to capture in real time a variety of eye movements that reflect different human cognitive, emotional, and physiological states, which can be used to gain a wider understanding of the human mind in different scenarios. This systematic literature review explored the different applications of eye tracking research in three high-risk industries, namely aviation, maritime, and construction. The results of this research uncovered the demographic distribution and applications of eye tracking research, as well as the different technologies that have been integrated to study the visual, cognitive, and attentional aspects of human mental performance. Moreover, different research gaps and potential future research directions were highlighted in relation to the usage of additional technologies to support, validate, and enhance eye tracking research to better understand human mental performance.

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Section: Resultsmentioning

confidence: 99%

Application of Eye Tracking Technology in Aviation, Maritime, and Construction Industries: A Systematic Review

Martinez-Marquez

Pingali

Panuwatwanich

et al. 2021

Sensors

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“…In self-diagnostic systems, a disease or defect is diagnosed based on the user's behavior [62,81,65,10,74,17], which can then later be treated or examined by a doctor. For these systems to work reliably, it is also necessary to use a lot of data and many different features like the eye lid closere [47,46,48], pupil variations [41,52,56,51,50,28] or other features extracted from the eye [54,39,27,25,23,55,26,44,22]. In the area of driver observation, the same applies.…”

Section: Introductionmentioning

confidence: 99%

HPCGen: Hierarchical K-Means Clustering and Level Based Principal Components for Scan Path Genaration

Fuhl¹

2022

Preprint

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In this paper, we present a new approach for decomposing scan paths and its utility for generating new scan paths. For this purpose, we use the K-Means clustering procedure to the raw gaze data and subsequently iteratively to find more clusters in the found clusters. The found clusters are grouped for each level in the hierarchy, and the most important principal components are computed from the data contained in them. Using this tree hierarchy and the principal components, new scan paths can be generated that match the human behavior of the original data. We show that this generated data is very useful for generating new data for scan path classification but can also be used to generate fake scan paths. https://atreus.informatik.uni-tuebingen.de/seafile/d/8e2ab8c3fdd444e1a135/?p=%2FHPCGen&mode=list.

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“…Eye tracking is an important input modality and information source in the modern world [12,39,19,40,42]. The signal itself is usually computed by first detecting the pupil [43,54,58,53,52,30] and additional eye features [37,28,46,24]. Based on the gaze signal it is possible to extract further information like the eye movement types [44,55,21,22,31,34].…”

Section: Introductionmentioning

confidence: 99%

GroupGazer: A Tool to Compute the Gaze per Participant in Groups with integrated Calibration to Map the Gaze Online to a Screen or Beamer Projection

Fuhl¹

2022

Preprint

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In this paper we present GroupGaze. It is a tool that can be used to calculate the gaze direction and the gaze position of whole groups. GroupGazer calculates the gaze direction of every single person in the image and allows to map these gaze vectors to a projection like a projector. In addition to the person-specific gaze direction, the person affiliation of each gaze vector is stored based on the position in the image. Also, it is possible to save the group attention after a calibration. The software is free to use and requires a simple webcam as well as an NVIDIA GPU and the operating system Windows or Linux. https://atreus.informatik.uni-tuebingen.de/seafile/d/8e2ab8c3fdd444e1a135/?p=%2FGG&mode=list.

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500,000 Images Closer to Eyelid and Pupil Segmentation

Cited by 39 publications

References 54 publications

Application of Eye Tracking Technology in Aviation, Maritime, and Construction Industries: A Systematic Review

Application of Eye Tracking Technology in Aviation, Maritime, and Construction Industries: A Systematic Review

HPCGen: Hierarchical K-Means Clustering and Level Based Principal Components for Scan Path Genaration

GroupGazer: A Tool to Compute the Gaze per Participant in Groups with integrated Calibration to Map the Gaze Online to a Screen or Beamer Projection

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