Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/816
Title: A Revolutionary Interactive Smart Classroom (RISC) with the Use of Emerging Technologies
Authors: Memos, Vasileios A.
Minopoulos, Georgios
Stergiou, Christos
Psannis, Konstantinos E.
Ishibashi, Yutaka
Type: Conference Paper
Subjects: FRASCATI::Natural sciences::Computer and information sciences
FRASCATI::Social sciences::Educational sciences
FRASCATI::Social sciences::Media and communications
Keywords: 5G
Haptics
Cloud
IoT
Smart Education
Issue Date: 22-Jul-2020
Publisher: IEEE
First Page: 174
Last Page: 178
Volume Title: 2020 2nd International Conference on Computer Communication and the Internet (ICCCI)
Abstract: Nowadays, the traditional teacher-centered way of teaching seems to be anachronistic. Disabled people, and not only, face difficulties to follow the current educational methods. The evolution of technology can offer significant benefits in these problems. Cutting-edge technologies, such as as Internet of Things (IoT), Cloud Computing (CC), Wireless Sensor Networks (WSN), Big Data Analytics (BDA), Compressed Sensing (CS), Augmented Reality/Virtual Reality (AR/VR) and 5G Networking can contribute in the field of smart education. However, smart education is currently in an embryonic 2D data representational state. In this paper, we propose a new Revolutionary Interactive Smart Classroom (RISC) which will provide a virtual environment for enhanced learning experience, based on 5G Network. This classroom will also make use of 3D virtual services in combination with haptic equipment and sensors, in order to carry out augmented human sensing information and touch into the virtual class. The advantages of such a classroom will be the sustainability in many fields, such as Society, Education, Environment, Economics, Technology and Cultural Tourism.
URI: https://doi.org/10.1109/ICCCI49374.2020.9145987
https://ruomo.lib.uom.gr/handle/7000/816
ISBN: 978-1-7281-5800-6
Electronic ISBN: 978-1-7281-5800-6
Other Identifiers: 10.1109/ICCCI49374.2020.9145987
Appears in Collections:Department of Applied Informatics

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