Architecture and Design Patterns for Distributed, Scalable Augmented Reality and Wearable Technology Systems
| Autor: | Will Guest, Fridolin Wild, Jaakko Karjalainen, Kaj Helin, Daniele Di Mitri, Roland Klemke |
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| Přispěvatelé: | RS-Research Line Innovation (part of LIRS program), Department Computer Science, RS-Theme Trusted Learning Analytics, RS-Theme Multimodal Learning Experiences, Department TELI, RS-Theme Computer-Supported Collaborative Learning |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
software architecture
0209 industrial biotechnology design pattern Computer science business.industry Training system Wearable computer 020206 networking & telecommunications Cloud computing Augmented reality 02 engineering and technology wearable technology 020901 industrial engineering & automation pattern language Human–computer interaction Software design pattern 0202 electrical engineering electronic engineering information engineering Reference architecture Software architecture business Wearable technology |
| Zdroj: | 2019 IEEE International Conference on Engineering, Technology and Education (TALE), 1-8 STARTPAGE=1;ENDPAGE=8;TITLE=2019 IEEE International Conference on Engineering, Technology and Education (TALE) 2019 IEEE International Conference on Engineering, Technology and Education (TALE) TALE Guest, W, Wild, F, Mitri, D D, Klemke, R, Karjalainen, J & Helin, K 2019, Architecture and Design Patterns for Distributed, Scalable Augmented Reality and Wearable Technology Systems . in 2019 IEEE International Conference on Engineering, Technology and Education (TALE) . IEEE, pp. 1-8, IEEE International Conference on Teaching, assessment and Learning for Engineering, 10/12/19 . https://doi.org/10.1109/TALE48000.2019.9225855 Guest, W, Wild, F, Di Mitri, D, Klemke, R, Karjalainen, J & Helin, K 2019, ' Architecture and Design Patterns for Distributed, Scalable Augmented Reality and Wearable Technology Systems ', Paper presented at IEEE International Conference on Engineering, Technology and Education, IEEE TALE 2019, Yogyakarta, Indonesia, 10/12/19-13/12/19 . https://doi.org/10.1109/TALE48000.2019.9225855 |
| Popis: | This paper presents a novel reference software architecture and supporting pattern language for an augmented reality authoring and training system. Industry-based augmented reality training is considered an essential element of the next techno-industrial revolution. These next generation learning environments allow a trainee to offload complexity and giving them live (or on-demand) feedback on their progress and performance through workplace augmentation is already being taken up by industry forerunners. This reference architecture - for wearable experience for knowledge intensive training - incorporates head-mounted augmented vision, an array of wearable sensors that monitor movement and physiological signals, a data-layer managing sensor data and a cloud-based repository for storing information about the activity and workplace. Moreover, this architecture has been tested in a range of knowledge intensive workplaces, in the aeronautic, medical and space industries. Two iterations of the architecture were developed and validated, together with over 500 participants, producing datasets on activity performance, physiological state and assessment of the platform. The components and links of the architecture are presented here as generalizable design patterns to support wider development. We then propose a pattern language for augmented reality training applications. |
| Databáze: | OpenAIRE |
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