Pena-Rios, A and Hagras, H and Gardner, M and Owusu, G (2016) A Fuzzy Logic based system for Mixed Reality assistance of remote workforce. In: 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017-07-24 - 2017-07-29, Vancouver, Canada.
Pena-Rios, A and Hagras, H and Gardner, M and Owusu, G (2016) A Fuzzy Logic based system for Mixed Reality assistance of remote workforce. In: 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017-07-24 - 2017-07-29, Vancouver, Canada.
Pena-Rios, A and Hagras, H and Gardner, M and Owusu, G (2016) A Fuzzy Logic based system for Mixed Reality assistance of remote workforce. In: 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017-07-24 - 2017-07-29, Vancouver, Canada.
Abstract
The recent years have witnessed an increase in the use of augmented and virtual reality systems, changing the way we interact with our environments. Such systems are commonly associated with advertising, entertainment, medicine, training and education. However, with the increasing acceptance and availability of mobile and wearable devices (e.g. head-mounted displays (HMD)), the use of these technologies is moving towards professional and industrial environments, where they would be able to support employees in their daily tasks, increasing customer satisfaction and reducing business costs. This paper presents an innovative Mixed Reality (MR) system to assist field workforce in remote locations. As part of the overall implementation, the MR system uses fuzzy logic mechanisms to improve accuracy in user tracking and object monitoring, allowing the correct representation of users and objects in the Graphical User Interfaces (GUIs), and improving the experience for users.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Published proceedings: Fuzzy Systems (FUZZ-IEEE), 2016 IEEE International Conference on |
Uncontrolled Keywords: | fuzzy logic system; mixed reality; augmented reality |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 21 Nov 2016 10:58 |
Last Modified: | 07 Nov 2024 21:43 |
URI: | http://repository.essex.ac.uk/id/eprint/17758 |
Available files
Filename: A Fuzzy Logic Based System for Mixed Reality Assistance of Remote Workforce (Final).pdf