Open-source Software for Determining the Dynamic Areas of Interest for Eye Tracking Data Analysis

This article is devoted to the description of a free, extensible and open source software system designed for eye tracking data analysis. Authors of this article examine not only the main methods and functions of the system core that address gaze data import, data analysis (filtering, smoothing, oculomotor events detection, estimation of events’ characteristics and others) and visualization, but also scheduled improvements of system’s functional features

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A Simple(r) Tool For Examining Fixations

Journal of Eye Movement Research ◽

10.16910/jemr.9.4.3. ◽

2016 ◽

Vol 9 (4) ◽

Author(s):

Francesco Di Nocera ◽

Claudio Capobianco ◽

Simon Mastrangelo

Keyword(s):

Eye Tracking ◽

Open Source ◽

Open Source Software ◽

Time Course ◽

Nearest Neighbor ◽

Mental Workload ◽

Short Paper ◽

Tracking Data ◽

Mental Load ◽

Simple Tool

This short paper describes an update of A Simple Tool For Examining Fixations (ASTEF) developed for facilitating the examination of eye-tracking data and for computing a spatial statistics algorithm that has been validated as a measure of mental workload (namely, the Nearest Neighbor Index: NNI). The code is based on Matlab® 2013a and is currently distributed on the web as an open-source project. This implementation of ASTEF got rid of many functionalities included in the previous version that are not needed anymore considering the large availability of commercial and open-source software solutions for eye-tracking. That makes it very easy to compute the NNI on eye-tracking data without the hassle of learning complicated tools. The software also features an export function for creating the time series of the NNI values computed on each minute of the recording. This feature is crucial given that the spatial distribution of fixations must be used to test hypotheses about the time course of mental load.

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Comparing the Behaviour of Human Face Capturing Attention of Autistic & Normal Developing Children Using Eye Tracking Data Analysis Approach

Proceedings of the 2019 3rd International Conference on Advances in Artificial Intelligence ◽

10.1145/3369114.3369122 ◽

2019 ◽

Author(s):

Mohamed Basel Almourad ◽

Emad Bataineh

Keyword(s):

Data Analysis ◽

Eye Tracking ◽

Analysis Approach ◽

Tracking Data ◽

Human Face

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Open Plot Project: an open-source toolkit for 3-D structural data analysis

Solid Earth ◽

10.5194/se-2-53-2011 ◽

2011 ◽

Vol 2 (1) ◽

pp. 53-63 ◽

Cited By ~ 18

Author(s):

S. Tavani ◽

P. Arbues ◽

M. Snidero ◽

N. Carrera ◽

J. A. Muñoz

Keyword(s):

Spatial Distribution ◽

Data Analysis ◽

Open Source ◽

Open Source Software ◽

Source Code ◽

Structural Data ◽

Geological Modelling ◽

Analysis Tools ◽

Transect Analysis ◽

Selection Of

Abstract. In this work we present the Open Plot Project, an open-source software for structural data analysis, including a 3-D environment. The software includes many classical functionalities of structural data analysis tools, like stereoplot, contouring, tensorial regression, scatterplots, histograms and transect analysis. In addition, efficient filtering tools are present allowing the selection of data according to their attributes, including spatial distribution and orientation. This first alpha release represents a stand-alone toolkit for structural data analysis. The presence of a 3-D environment with digitalising tools allows the integration of structural data with information extracted from georeferenced images to produce structurally validated dip domains. This, coupled with many import/export facilities, allows easy incorporation of structural analyses in workflows for 3-D geological modelling. Accordingly, Open Plot Project also candidates as a structural add-on for 3-D geological modelling software. The software (for both Windows and Linux O.S.), the User Manual, a set of example movies (complementary to the User Manual), and the source code are provided as Supplement. We intend the publication of the source code to set the foundation for free, public software that, hopefully, the structural geologists' community will use, modify, and implement. The creation of additional public controls/tools is strongly encouraged.

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Eye-Tracking Data Analysis and Neuroergonomics

Neuroadaptive Systems ◽

10.1201/b13019-17 ◽

2012 ◽

pp. 269-324

Keyword(s):

Data Analysis ◽

Eye Tracking ◽

Tracking Data

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Conquery: an Open Source Application to analyze High Content Healthcare Data (Preprint)

10.2196/preprints.32745 ◽

2021 ◽

Author(s):

Fabian Kovacs ◽

Max Thonagel ◽

Marion Ludwig ◽

Alexander Albrecht ◽

Manuel Hegner ◽

...

Keyword(s):

Decision Making ◽

Big Data ◽

Data Analysis ◽

Open Source ◽

Open Source Software ◽

Medical Records ◽

Healthcare Sector ◽

Study Cohort ◽

Decision Making Processes ◽

Analytical Approaches

BACKGROUND Big data in healthcare must be exploited to achieve a substantial increase in efficiency and competitiveness. Especially the analysis of patient-related data possesses huge potential to improve decision-making processes. However, most analytical approaches used today are highly time- and resource-consuming. OBJECTIVE The presented software solution Conquery is an open-source software tool providing advanced, but intuitive data analysis without the need for specialized statistical training. Conquery aims to simplify big data analysis for novice database users in the medical sector. METHODS Conquery is a document-oriented distributed timeseries database and analysis platform. Its main application is the analysis of per-person medical records by non-technical medical professionals. Complex analyses are realized in the Conquery frontend by dragging tree nodes into the query editor. Queries are evaluated by a bespoke distributed query-engine for medical records in a column-oriented fashion. We present a custom compression scheme to facilitate low response times that uses online calculated as well as precomputed metadata and data statistics. RESULTS Conquery allows for easy navigation through the hierarchy and enables complex study cohort construction whilst reducing the demand on time and resources. The UI of Conquery and a query output is exemplified by the construction of a relevant clinical cohort. CONCLUSIONS Conquery is an efficient and intuitive open-source software for performant and secure data analysis and aims at supporting decision-making processes in the healthcare sector.

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