Immersive analysis of user motion in VR applications

Kloiber, Simon; Settgast, Volker; Schinko, Christoph; Weinzerl, Martin; Fritz, Johannes; Schreck, Tobias; Preiner, Reinhold

doi:10.1007/s00371-020-01942-1

Cited by 43 publications

(10 citation statements)

References 38 publications

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“…Motion tracking is a crucial function in the VR system because it ensures user movements and orientation are effectively replicated on screen, in turn enabling a satisfactory interaction with the immersive VR environment [116]. VR Mocap systems continuously capture and process real-world motions of the user in order to track their current view and provide positioning for interaction with the virtual environment.…”

Section: Vr Technologiesmentioning

confidence: 99%

Extended Reality for Smart Building Operation and Maintenance: A Review

Casini

2022

Energies

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The operation and maintenance (O&M) of buildings and infrastructure represent a strategic activity to ensure they perform as expected over time and to reduce energy consumption and maintenance costs at the urban and building scale. With the increasing diffusion of BIM, IoT devices, and AI, the future of O&M is represented by digital twin technology. To effectively take advantage of this digital revolution, thus enabling data-driven energy control, proactive maintenance, and predictive daily operations, it is vital that smart building management exploits the opportunities offered by the extended reality (XR) technologies. Nevertheless, in consideration of the novelty of XR in the AECO sector and its rapid and ongoing evolution, knowledge of the specific possibilities and the methods of integration into the building process workflow is still piecemeal and sparse. With the goal to bridge this gap, the article presents a thorough review of virtual reality (VR), augmented reality (AR), and mixed reality (MR) technologies and applications for smart building operation and maintenance. After defining VR, AR, and MR, the article provides a detailed review that analyzes, categorizes, and summarizes state-of-the-art XR technologies and their possible applications for building O&M along with their relative advantages and disadvantages. The article concludes that the application of XR in building and city management is showing promising results in enhancing human performance in technical O&M tasks, in understanding and controlling the energy efficiency, comfort, and safety of building and infrastructures, and in supporting strategic decision making for the future smart city.

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Section: Vr Technologiesmentioning

confidence: 99%

Extended Reality for Smart Building Operation and Maintenance: A Review

Casini

2022

Energies

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“…In [17], analysis of the motion of virtual reality users is presented. The authors use the motion captured in virtual environments and perform the analysis in the same environment.…”

Section: Recording and Replaying In Vrmentioning

confidence: 99%

Less Is More: Efficient Networked VR Transformation Handling Using Geometric Algebra

Kamarianakis¹,

Chrysovergis²,

Lydatakis³

et al. 2022

Preprint

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As shared, collaborative, networked, virtual environments become increasingly popular, various challenges arise regarding the efficient transmission of model and scene transformation data over the network. As user immersion and real-time interactions heavily depend on VR stream synchronization, transmitting the entire data sat does not seem a suitable approach, especially for sessions involving a large number of users. Session recording is another momentum-gaining feature of VR applications that also faces the same challenge. The selection of a suitable data format can reduce the occupied volume, while it may also allow effective replication of the VR session and optimized post-processing for analytics and deep-learning algorithms.In this work, we propose two algorithms that can be applied in the context of a networked multiplayer VR session, to efficiently transmit the displacement and orientation data from the users' hand-based VR HMDs. Moreover, we present a novel method describing effective VR recording of the data exchanged in such a session. Our algorithms, based on the use of dual-quaternions and multivectors, impact the network consumption rate and are highly effective in scenarios involving multiple users. By sending less data over the network and interpolating the in-between frames locally, we manage to obtain better visual results than current state-of-the-art methods. Lastly, we prove that, for recording purposes, storing less data and interpolating them on-demand yields a data set quantitatively close to the original one.

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“…In [21], analysis of the motion of virtual reality users is presented. The authors use the motion captured in virtual environments and perform the analysis in the same environment.…”

Section: Introductionmentioning

confidence: 99%

Less is More: Efficient Networked VR Transformation Handling Using Geometric Algebra

Kamarianakis

Chrysovergis

Lydatakis

et al. 2022

Adv. Appl. Clifford Algebras

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As shared, collaborative, networked, virtual environments become increasingly popular, various challenges arise regarding the efficient transmission of model and scene transformation data over the network. As user immersion and real-time interactions heavily depend on VR stream synchronization, transmitting the entire data set does not seem a suitable approach, especially for sessions involving a large number of users. Session recording is another momentum-gaining feature of VR applications that also faces the same challenge. The selection of a suitable data format can reduce the occupied volume, while it may also allow effective replication of the VR session and optimized post-processing for analytics and deep-learning algorithms. In this work, we propose two algorithms that can be applied in the context of a networked multiplayer VR session, to efficiently transmit the displacement and orientation data from the users’ hand-based VR HMDs. Moreover, we present a novel method for effective VR recording of the data exchanged in such a session. Our algorithms, based on the use of dual-quaternions and multivectors, impact the network consumption rate and are highly effective in scenarios involving multiple users. By sending less data over the network and interpolating the in-between frames locally, we manage to obtain better visual results than current state-of-the-art methods. Lastly, we prove that, for recording purposes, storing less data and interpolating them on-demand yields a data set quantitatively close to the original one.

show abstract

Immersive analysis of user motion in VR applications

Cited by 43 publications

References 38 publications

Extended Reality for Smart Building Operation and Maintenance: A Review

Extended Reality for Smart Building Operation and Maintenance: A Review

Less Is More: Efficient Networked VR Transformation Handling Using Geometric Algebra

Less is More: Efficient Networked VR Transformation Handling Using Geometric Algebra

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