Multi-dimensional Data Visualisation using Mobile Augmented Reality

Khan, Rehman Ullah and Oon, Yin Bee and Shminan, Ahmad Sofian and Lee, Jun Choi (2020) Multi-dimensional Data Visualisation using Mobile Augmented Reality. International Journal of Innovation, Creativity and Change (IJICC), 14 (2). 1433 -1447. ISSN 2201-1323

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Abstract

In the era of “The Internet of Things” (Rodriguez, Kaczmarek, & Depew) devices are becoming smart and each smart device generates data every second. This data is in multi-format, multi-perspective and multi-sectoral. Therefore, the handling of such multi-dimensional data is a significant challenge, as the normal display screen is two dimensional (2D) and data is multi-dimensional. This research proposes and develops a multi-display data visualisation algorithm using mobile augmented reality, as augmented reality (AR) is beyond the two-dimensional screen. Therefore, this algorithm uses AR to provide a multi-display solution for improved data visualisation after processing, summarising and classifying data. The results show that the AR-based multi-display is better than traditional 2D display. This algorithm is mobile based. Therefore, this system can provide rapid and easily accessible information to policy and decision makers.

Item Type: Article
Uncontrolled Keywords: Augmented reality, Big Data, Data visualisation, Internet of Things,Multi-Dimensional data, Multi-Display, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak
Subjects: T Technology > T Technology (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Cognitive Sciences and Human Development
Depositing User: Khan
Date Deposited: 22 Sep 2020 06:38
Last Modified: 22 Sep 2020 06:41
URI: http://ir.unimas.my/id/eprint/31883

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