Bellalouna, F;
Luimula, M;
Markopoulos, P;
Markopoulos, E;
Zipperling, F;
(2020)
FiAAR: An augmented reality firetruck equipment assembly and configuration assistant technology.
In:
Proceedigns of the 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom).
(pp. pp. 237-244).
The Institute of Electrical and Electronics Engineers (IEEE)
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Abstract
Augmented reality (AR) is the technology that expands the physical world by enhancing the objects that reside in the real world with computer generated perceptual information to provide interactive experience in a real-world environment. AR is used effectively in many business sectors such as the engineering, education and training, medicine, logistics and transport, and others. Rescue services is one of the challenging areas where the use of AR technology has extremely high demands for robustness and ease of use. In this paper, we have introduced two augmented reality versions for the FiAAR project developed by Karlsruhe University of Applied Sciences. The first version is developed for Realmax HMT-1 device with hands free interaction utilizing speech recognition. The second version in turn focuses on hand recognition and it's developed for Realwear Qian device with Leap Motion sensor. Our intention is to show the potential of current AR technologies in demanding use cases.
| Type: | Proceedings paper |
|---|---|
| Title: | FiAAR: An augmented reality firetruck equipment assembly and configuration assistant technology |
| Event: | 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) 2020 |
| ISBN-13: | 978-1-7281-8214-8 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/CogInfoCom50765.2020.9237847 |
| Publisher version: | https://doi.org/10.1109/CogInfoCom50765.2020.92378... |
| 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: | Augmented Reality, hand tracking, speech recognition, firetruck, training, safety |
| 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-pp.ucl.ac.uk/id/eprint/10120655 |
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