Academic Journal
Design of Cloud-Based Real-Time Eye-Tracking Monitoring and Storage System.
| Title: | Design of Cloud-Based Real-Time Eye-Tracking Monitoring and Storage System. |
|---|---|
| Authors: | Gursesli, Mustafa Can, Selek, Mehmet Emin, Samur, Mustafa Oktay, Duradoni, Mirko, Park, Kyoungju, Guazzini, Andrea, Lanatà, Antonio |
| Source: | Algorithms; Jul2023, Vol. 16 Issue 7, p355, 14p |
| Subject Terms: | Eye tracking, Java programming language, Data management, Data warehousing |
| Geographic Terms: | Java (Indonesia) |
| Abstract: | The rapid development of technology has led to the implementation of data-driven systems whose performance heavily relies on the amount and type of data. In the latest decades, in the field of bioengineering data management, among others, eye-tracking data have become one of the most interesting and essential components for many medical, psychological, and engineering research applications. However, despite the large usage of eye-tracking data in many studies and applications, a strong gap is still present in the literature regarding real-time data collection and management, which leads to strong constraints for the reliability and accuracy of on-time results. To address this gap, this study aims to introduce a system that enables the collection, processing, real-time streaming, and storage of eye-tracking data. The system was developed using the Java programming language, WebSocket protocol, and Representational State Transfer (REST), improving the efficiency in transferring and managing eye-tracking data. The results were computed in two test conditions, i.e., local and online scenarios, within a time window of 100 seconds. The experiments conducted for this study were carried out by comparing the time delay between two different scenarios, even if preliminary results showed a significantly improved performance of data management systems in managing real-time data transfer. Overall, this system can significantly benefit the research community by providing real-time data transfer and storing the data, enabling more extensive studies using eye-tracking data. [ABSTRACT FROM AUTHOR] |
| Copyright of Algorithms is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Complementary Index |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:edb&genre=article&issn=19994893&ISBN=&volume=16&issue=7&date=20230701&spage=355&pages=355-368&title=Algorithms&atitle=Design%20of%20Cloud-Based%20Real-Time%20Eye-Tracking%20Monitoring%20and%20Storage%20System.&aulast=Gursesli%2C%20Mustafa%20Can&id=DOI:10.3390/a16070355 Name: Full Text Finder (for New FTF UI) (ns324271) Category: fullText Text: Full Text Finder MouseOverText: Full Text Finder |
|---|---|
| Header | DbId: edb DbLabel: Complementary Index An: 168601470 RelevancyScore: 938 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 937.866577148438 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Design of Cloud-Based Real-Time Eye-Tracking Monitoring and Storage System. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gursesli%2C+Mustafa+Can%22">Gursesli, Mustafa Can</searchLink><br /><searchLink fieldCode="AR" term="%22Selek%2C+Mehmet+Emin%22">Selek, Mehmet Emin</searchLink><br /><searchLink fieldCode="AR" term="%22Samur%2C+Mustafa+Oktay%22">Samur, Mustafa Oktay</searchLink><br /><searchLink fieldCode="AR" term="%22Duradoni%2C+Mirko%22">Duradoni, Mirko</searchLink><br /><searchLink fieldCode="AR" term="%22Park%2C+Kyoungju%22">Park, Kyoungju</searchLink><br /><searchLink fieldCode="AR" term="%22Guazzini%2C+Andrea%22">Guazzini, Andrea</searchLink><br /><searchLink fieldCode="AR" term="%22Lanatà%2C+Antonio%22">Lanatà, Antonio</searchLink> – Name: TitleSource Label: Source Group: Src Data: Algorithms; Jul2023, Vol. 16 Issue 7, p355, 14p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Eye+tracking%22">Eye tracking</searchLink><br /><searchLink fieldCode="DE" term="%22Java+programming+language%22">Java programming language</searchLink><br /><searchLink fieldCode="DE" term="%22Data+management%22">Data management</searchLink><br /><searchLink fieldCode="DE" term="%22Data+warehousing%22">Data warehousing</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Java+%28Indonesia%29%22">Java (Indonesia)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The rapid development of technology has led to the implementation of data-driven systems whose performance heavily relies on the amount and type of data. In the latest decades, in the field of bioengineering data management, among others, eye-tracking data have become one of the most interesting and essential components for many medical, psychological, and engineering research applications. However, despite the large usage of eye-tracking data in many studies and applications, a strong gap is still present in the literature regarding real-time data collection and management, which leads to strong constraints for the reliability and accuracy of on-time results. To address this gap, this study aims to introduce a system that enables the collection, processing, real-time streaming, and storage of eye-tracking data. The system was developed using the Java programming language, WebSocket protocol, and Representational State Transfer (REST), improving the efficiency in transferring and managing eye-tracking data. The results were computed in two test conditions, i.e., local and online scenarios, within a time window of 100 seconds. The experiments conducted for this study were carried out by comparing the time delay between two different scenarios, even if preliminary results showed a significantly improved performance of data management systems in managing real-time data transfer. Overall, this system can significantly benefit the research community by providing real-time data transfer and storing the data, enabling more extensive studies using eye-tracking data. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Algorithms is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=168601470 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/a16070355 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 355 Subjects: – SubjectFull: Java (Indonesia) Type: general – SubjectFull: Eye tracking Type: general – SubjectFull: Java programming language Type: general – SubjectFull: Data management Type: general – SubjectFull: Data warehousing Type: general Titles: – TitleFull: Design of Cloud-Based Real-Time Eye-Tracking Monitoring and Storage System. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gursesli, Mustafa Can – PersonEntity: Name: NameFull: Selek, Mehmet Emin – PersonEntity: Name: NameFull: Samur, Mustafa Oktay – PersonEntity: Name: NameFull: Duradoni, Mirko – PersonEntity: Name: NameFull: Park, Kyoungju – PersonEntity: Name: NameFull: Guazzini, Andrea – PersonEntity: Name: NameFull: Lanatà, Antonio IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 19994893 Numbering: – Type: volume Value: 16 – Type: issue Value: 7 Titles: – TitleFull: Algorithms Type: main |
| ResultId | 1 |