Professor Eyad Elyan e.elyan@rgu.ac.uk
Professor
Professor Eyad Elyan e.elyan@rgu.ac.uk
Professor
Dr John Isaacs j.p.isaacs@rgu.ac.uk
Dean
Professor Peter Reid p.reid@rgu.ac.uk
Professor
In Scotland and Italy, tourism represents 5% / 13% of GDP, and national tourism strategies have prioritised the visitor experience. Visits to sites of “cultural heritage” have increased by 12.5% in Italy, reaching 20% in some Scottish locations - 4.2m in the Colosseum, 2m in Edinburgh Castle. Such pressures diminishes the visitor experience, increases safety risk, and is ultimately unsustainable. Archaic configurations, narrow passageways and steep staircases compound the safety risk of greater visitor numbers and density. Body size and impaired mobility profoundly influence movement speed, and in restricted/ challenging spaces become critical to individual and group movement, directly affecting evacuation time. This project assesses public safety in historic buildings by combining visitor-flow research and gaming techniques.
This project was jointly funded by the National Research Council of Italy
Status | Project Complete |
---|---|
Funder(s) | Royal Society of Edinburgh |
Value | £4,732.00 |
Project Dates | Mar 1, 2019 - Oct 28, 2021 |
Create a mobile application which will facilitate the use of sport science and artificial intelligence to provide measured feedback within sports and other environments Jan 11, 2016 - Mar 30, 2017
Many sports teams and individuals have professional standards without the resources. Our aim is to create academically sound, technology driven tools to help sports and other industries benefit from sport science without the need for expensive equipm...
Read More about Create a mobile application which will facilitate the use of sport science and artificial intelligence to provide measured feedback within sports and other environments.
Design and develop a 3D/4D interactive augmented visualisation system Oct 1, 2011 - Aug 1, 2014
To design and develop a 3D/4 D interactive augmented visualisation system that will allow us and our SME distributors to efficiently specify our products
Data mining and visualisation tool to intelligently mine large volumes of structured and unstructured data in oil/gas operations Jul 1, 2017 - Jun 30, 2019
The project will create a data mining and visualisation tool to intelligently mine large volumes of structured and unstructured data in oil/gas operations and the knowledge to further develop and support the tool, thus improving practice/decision-mak...
Read More about Data mining and visualisation tool to intelligently mine large volumes of structured and unstructured data in oil/gas operations.
Intelligent digitisation platform for processing, detecting and classifying symbols in technical drawings Jan 4, 2017 - Jan 3, 2018
The overall aim of the project is to build a Data Analytics Framework to process, analyse and digitise technical drawing and engineering diagrams using state-of-the-art machine learning and computer vision techniques
Augmented Reality Procedural System (Phase 2) Nov 1, 2016 - Oct 31, 2017
Operators, contractors and other service providers in the Oil and Gas industry rely heavily on paper-based guidelines to perform procedural tasks. This is also the case across other different industries. Such approach proved to be time consuming, amb...
Read More about Augmented Reality Procedural System (Phase 2).
About OpenAIR@RGU
Administrator e-mail: publications@rgu.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
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