UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Finger tracking and hand recognition technologies in virtual reality maritime safety training applications

Markopoulos, E; Markopoulos, P; Laivuori, N; Moridis, C; Luimula, M; (2020) Finger tracking and hand recognition technologies in virtual reality maritime safety training applications. In: Proceedings of the 11th IEEE International Conference on Cognitive Infocommunications. (pp. pp. 251-258). The Institute of Electrical and Electronics Engineers (IEEE) (In press). Green open access

[thumbnail of Markopoulos_Finger tracking and hand recognition technologies in virtual reality maritime safety training applications_AAM.pdf]
Preview
Text
Markopoulos_Finger tracking and hand recognition technologies in virtual reality maritime safety training applications_AAM.pdf - Accepted Version

Download (5MB) | Preview

Abstract

The competitiveness and development of the maritime sector together with the continuous effort on increasing operations performance while reducing operations costs, drives the needs for on-board effective and qualitative training safety related issues. Virtual reality (VR) has been considered by classification societies and training organizations as a technology that can significantly improve seafarer's performance and competence with the adaptation of maritime applications developed for design simulation and gaming. This paper presents the evolution of the MarSEVR (Maritime Safety Education with VR) technology as a new concept and technology by integrating finger tracking and hand recognition technologies that increase immersiveness and user engagement within the MarISOT technology, a Green Ocean innovation composed of VR safety applications. The paper approaches this integration by addressing game design, pedagogic and cognitive neuroscience principles and challenges on the use of hand recognition and finger tracking in the MarSEVR learning episodes.

Type: Proceedings paper
Title: Finger tracking and hand recognition technologies in virtual reality maritime safety training applications
Event: 11th IEEE International Conference on Cognitive Infocommunications
Location: Online on MaxWhere 3D Web
Dates: 23rd-25th September 2020
ISBN-13: 978-1-7281-8213-1
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/CogInfoCom50765.2020.9237915
Publisher version: https://doi.org/10.1109/CogInfoCom50765.2020.92379...
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: Finger Tracking, Hand Recognition, Virtual training, Virtual Reality, Cognitive Science, Neuroscience, Maritime safety training, Shipping
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > UCL School of Management
URI: https://discovery.ucl.ac.uk/id/eprint/10111424
Downloads since deposit
353Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item