Markopoulos, E;
Luimula, M;
Ravyse, W;
Ahtiainen, J;
Aro-Heinilä, V;
(2021)
Human Computer Interaction Opportunities in Hand Tracking and Finger Recognition in Ship Engine Room VR Training.
In:
Advances in Creativity, Innovation, Entrepreneurship and Communication of Design.
(pp. pp. 343-351).
Springer Nature
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Abstract
The research conducted for this paper is an extension of the continuous efforts at the Turku University of applied Sciences to optimize the Maritime Immersive Ocean Technology (MarsISOT) by integrating advanced immersive technologies. This paper reports the integration of hand tracking and finger recognition in the ShipSEVR learning episode. ShipSEVR, part of MarISOT, is a VR Training next generation learning environment focused specifically on ship engines and engine rooms safety procedures. The technology has been designed and developed at Turku University of Applied Sciences for Wärtsilä Land and Sea Academy utilizing latest VR technologies. The delivered learning episode consists of a 3D ship engine room space where trainees are expected to find certain devices and equipment by utilizing the available technical drawings. This enhanced human computer interaction environment reflects to industry requirements the derived after the first version of the technology and its test with industry experts.
| Type: | Proceedings paper |
|---|---|
| Title: | Human Computer Interaction Opportunities in Hand Tracking and Finger Recognition in Ship Engine Room VR Training |
| Event: | International Conference on Applied Human Factors and Ergonomics |
| ISBN-13: | 9783030800932 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-030-80094-9_41 |
| Publisher version: | https://doi.org/10.1007/978-3-030-80094-9_41 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| Keywords: | Virtual Reality, Maritime Safety Training, Hand Tracking, Finger Recognition, Shipping, Human Computer Interaction, Engine Room, Ship, Maritime |
| UCL classification: | 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 UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10153262 |
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