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Virtual Reality Meets Intelligence in Large Scale Architecture

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Augmented Reality, Virtual Reality, and Computer Graphics (AVR 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10325))

Abstract

This paper presents the process for a case study concerning fully immersive application of physical environment. The paper considers intelligent systems integration to VR and self-learning activities with sociological aspects by significant experimental platform. Authors aim to detail the process of systematical design including modelling, computing, intelligence and an initial evolution of virtual environment. Also practical usage and futuristic aspects are included for the concept. As the project based on physical environment, target of the work is concentrated to give high presence feeling for end-users. To increasing presence feeling, authors aim to maximize immersion level. Self-learning activities based on the perception of supervised and unsupervised learning. The activities are engaged to immersive and entertaining structure. Heterogeneous intercontinental participants provide unique feedback source. The environment is research and development center of Tallinn University of Technology. The virtual environment of the center has been evaluated based on realistic conditions.

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Acknowledgements

The research was supported by TUT Innovation and Entrepreneurship Center Mektory and the Information Technology Foundation for Education. We thank the division of Department of Computer and Systems Engineering at Tallinn University of Technology for the ordinary working environment and extremely friendly atmosphere.

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Correspondence to Ahmet Kose .

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Kose, A., Petlenkov, E., Tepljakov, A., Vassiljeva, K. (2017). Virtual Reality Meets Intelligence in Large Scale Architecture. In: De Paolis, L., Bourdot, P., Mongelli, A. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2017. Lecture Notes in Computer Science(), vol 10325. Springer, Cham. https://doi.org/10.1007/978-3-319-60928-7_26

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  • DOI: https://doi.org/10.1007/978-3-319-60928-7_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60927-0

  • Online ISBN: 978-3-319-60928-7

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