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- 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
- 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.
- Subjects
JAVA (Indonesia); EYE tracking; JAVA programming language; DATA management; DATA warehousing
- Publication
Algorithms, 2023, Vol 16, Issue 7, p355
- ISSN
1999-4893
- Publication type
Article
- DOI
10.3390/a16070355