Dr Pam Johnston p.johnston2@rgu.ac.uk
Lecturer
Dr Pam Johnston p.johnston2@rgu.ac.uk
Lecturer
Professor Eyad Elyan e.elyan@rgu.ac.uk
Professor
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 equipment or a full time sports science professional on board.
Type of Project | Project |
---|---|
Status | Project Complete |
Funder(s) | Innovate UK Sport Technology Services Limited |
Value | £122,163.00 |
Project Dates | Jan 11, 2016 - Mar 30, 2017 |
Size and shape of UK offshore workers Oct 1, 2012 - Dec 1, 2014
To develop a capability for accurately profiling offshore worker's size in a systematic and sustainable way, informing safety equipment, working environment design and operational procedures.
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.
Mapping personal movement space inside historic buildings May 1, 2016 - Jan 31, 2019
This project explores the potential for visualisation of the interior spaces and passageways in selected built heritage case studies.
It will also explore the ways in which the presentation and discussion of those visualisations can i...
Read More about Mapping personal movement space inside historic buildings.
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
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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