Increasing Presence in a Mixed Reality Application by Integrating a Real Time Tracked Full Body Representation

2018 ◽  
pp. 46-60 ◽  
Author(s):  
Felix Born ◽  
Maic Masuch
Keyword(s):  
Real Time ◽  
Mixed Reality ◽  
Body Representation ◽  
Full Body

scholarly journals A Robust Real-Time 3D Reconstruction Method for Mixed Reality Telepresence

2020 ◽  
Vol 10 (2) ◽  
Author(s):  
Fazliaty Edora Fadzli ◽  
Ajune Wanis Ismail
Keyword(s):  
3D Reconstruction ◽  
Real Time ◽  
Real World ◽  
Mixed Reality ◽  
Real Life ◽  
Reconstruction Method ◽  
Reconstruction Methods ◽  
Virtual Element ◽  
World Environment ◽  
Full Body

Mixed Reality (MR) is a technology which enable to bring a virtual element into the real-world environment. MR intends to improve reality on the virtual world immerse onto real-world space. Occasionally the MR has been improved as the display technologies advanced progressively. In MR collaborative interface context, the local and remote user work together on collaborative task while sense the immersive environment in the cooperative application. User telepresence is an immersive telepresence, where the reconstruction of a human appears in a real-life. Up till now, producing full telepresence of the life-size human body may require a high transmission bandwidth of the internet. Therefore, this paper explores on a robust real-time 3D reconstruction method for MR telepresence. This paper discusses the previous works on the reconstruction method of a full-body human and the existing research works that have proposed the reconstruction methods for telepresence. Besides the 3D reconstruction method, this paper also enlightens our recent finding on the MR framework to transport a full-body human from a local location to a remote location. The MR telepresence will be discussed, as well as the robust 3D reconstruction method which has been implemented with user telepresence feature where the user experiences an accurate 3D representation of a remote person. The paper ends with the discussion and results, MR telepresence with robust 3D reconstruction method to execute user telepresence.

Development of environment design support mixed reality system capable of environment estimation using deep learning

Impact ◽  
2020 ◽  
Vol 2020 (2) ◽  
pp. 9-11
Author(s):  
Tomohiro Fukuda
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Computer Games ◽  
Construction Projects ◽  
Mixed Reality ◽  
Semantic Segmentation ◽  
Environment Design ◽  
Aviation Training ◽  
Architecture And Design ◽  
World Environment

Mixed reality (MR) is rapidly becoming a vital tool, not just in gaming, but also in education, medicine, construction and environmental management. The term refers to systems in which computer-generated content is superimposed over objects in a real-world environment across one or more sensory modalities. Although most of us have heard of the use of MR in computer games, it also has applications in military and aviation training, as well as tourism, healthcare and more. In addition, it has the potential for use in architecture and design, where buildings can be superimposed in existing locations to render 3D generations of plans. However, one major challenge that remains in MR development is the issue of real-time occlusion. This refers to hiding 3D virtual objects behind real articles. Dr Tomohiro Fukuda, who is based at the Division of Sustainable Energy and Environmental Engineering, Graduate School of Engineering at Osaka University in Japan, is an expert in this field. Researchers, led by Dr Tomohiro Fukuda, are tackling the issue of occlusion in MR. They are currently developing a MR system that realises real-time occlusion by harnessing deep learning to achieve an outdoor landscape design simulation using a semantic segmentation technique. This methodology can be used to automatically estimate the visual environment prior to and after construction projects.

Real-time, High-resolution Depth Upsampling on Embedded Accelerators

2021 ◽  
Vol 20 (3) ◽  
pp. 1-22
Author(s):  
David Langerman ◽  
Alan George
Keyword(s):  
High Resolution ◽  
Low Power ◽  
Real Time ◽  
Mixed Reality ◽  
Graphics Processing Unit ◽  
Processing Unit ◽  
Reconfigurable Logic ◽  
Depth Sensors ◽  
Time Requirements ◽  
Graphics Processing

High-resolution, low-latency apps in computer vision are ubiquitous in today’s world of mixed-reality devices. These innovations provide a platform that can leverage the improving technology of depth sensors and embedded accelerators to enable higher-resolution, lower-latency processing for 3D scenes using depth-upsampling algorithms. This research demonstrates that filter-based upsampling algorithms are feasible for mixed-reality apps using low-power hardware accelerators. The authors parallelized and evaluated a depth-upsampling algorithm on two different devices: a reconfigurable-logic FPGA embedded within a low-power SoC; and a fixed-logic embedded graphics processing unit. We demonstrate that both accelerators can meet the real-time requirements of 11 ms latency for mixed-reality apps. 1

scholarly journals The Effects of Explicit and Implicit Interaction on User Experiences in a Mixed Reality Installation: The Synthetic Oracle

2009 ◽  
Vol 18 (4) ◽  
pp. 277-285 ◽  
Author(s):  
Sergi Bermúdez i Badia ◽  
Aleksander Valjamae ◽  
Fabio Manzi ◽  
Ulysses Bernardet ◽  
Anna Mura ◽  
...  
Keyword(s):  
Mixed Reality ◽  
User Behavior ◽  
Activity Level ◽  
Online Behavior ◽  
User Experiences ◽  
Motion Data ◽  
Interaction Mode ◽  
Arm Motion ◽  
And Behavior ◽  
Full Body

Virtual and mixed reality environments (VMRE) often imply full-body human-computer interaction scenarios. We used a public multimodal mixed reality installation, the Synthetic Oracle, and a between-groups design to study the effects of implicit (e.g., passively walking) or explicit (e.g., pointing) interaction modes on the users' emotional and engagement experiences, and we assessed it using questionnaires. Additionally, real-time arm motion data was used to categorize the user behavior and to provide interaction possibilities for the explicit interaction group. The results show that the online behavior classification corresponded well to the users' interaction mode. In addition, contrary to the explicit interaction, the engagement ratings from implicit users were positively correlated with a valence but were uncorrelated with arousal ratings. Interestingly, arousal levels were correlated with different behaviors displayed by the visitors depending on the interaction mode. Hence, this study confirms that the activity level and behavior of users modulates their experience, and that in turn, the interaction mode modulates their behavior. Thus, these results show the importance of the selected interaction mode when designing users' experiences in VMRE.

Real-Time Affective Measurements in Medical Education, Using Virtual and Mixed Reality

2020 ◽  
pp. 87-95
Author(s):  
Panagiotis Antoniou ◽  
George Arfaras ◽  
Niki Pandria ◽  
George Ntakakis ◽  
Emmanuil Bambatsikos ◽  
...  
Keyword(s):  
Medical Education ◽  
Real Time ◽  
Mixed Reality

scholarly journals Digital matter as interdisciplinary commodity

2017 ◽  
Vol 2 (3) ◽  
pp. 103
Author(s):  
Uwe Rieger
Keyword(s):  
Real Time ◽  
Spatial Data ◽  
Architectural Design ◽  
Large Scale ◽  
Mixed Reality ◽  
Digital Fabrication ◽  
Digital Information ◽  
Design Environment ◽  
Digital World ◽  
Starting Point

<p>With the current exponential growth in the sector of Spatial Data Technology and Mixed Reality display devises we experience an increasing overlap of the physical and digital world. Next to making data spatially visible the attempt is to connect digital information with physical properties. Over the past years a number of research institutions have been laying the ground for these developments. In contemporary architecture architectural design the dominant application of data technology is connected to graphical presentation, form finding and digital fabrication.<br />The <em>arc/sec Lab for Digital Spatial Operations </em>at the University of Auckland takes a further step. The Lab explores concepts for a new condition of buildings and urban patterns in which digital information is connected with spatial appearance and linked to material properties. The approach focuses on the step beyond digital re-presentation and digital fabrication, where data is re-connected to the multi-sensory human perceptions and physical skills. The work at the Lab is conducted in a cross disciplinary design environment and based on experiential investigations. The arc/sec Lab utilizes large-scale interactive installations as the driving vehicle for the exploration and communication of new dimensions in architectural space. The experiments are aiming to make data “touchable” and to demonstrate real time responsive environments. In parallel they are the starting point for both the development of practice oriented applications and speculation on how our cities and buildings might change in the future.<br />The article gives an overview of the current experiments being undertaken at the arc/sec Lab. It discusses how digital technologies allow for innovation between the disciplines by introducing real time adaptive behaviours to our build environment and it speculates on the type of spaces we can construct when <em>digital matter </em>is used as a new dynamic building material.</p>

scholarly journals ARTIST - a reAl-time low-effoRt mulTi-entity Interaction System for creaTing reusable and optimized MR experiences

2019 ◽  
Vol 5 ◽  
Author(s):  
Konstantinos Kotis
Keyword(s):  
Real Time ◽  
Development Time ◽  
Mixed Reality ◽  
Research Approach ◽  
The Novel ◽  
High Quality ◽  
Related Data ◽  
Novel Methods ◽  
Novel Concept ◽  
Heterogeneous Resources

ARTIST is a research approach introducing novel methods for real-time multi-entity interaction between human and non-human entities, to create reusable and optimized Mixed Reality (MR) experiences with low-effort, towards a Shared MR Experiences Ecosystem (SMRE2). As a result, ARTIST delivers high quality MR experiences, facilitating the interaction between a variety of entities which interact in a virtual and symbiotic way within a mega, virtual and fully-experiential world. Specifically, ARTIST aims to develop novel methods for low-effort (code-free) implementation and deployment of open and reusable MR content, applications and tools, introducing the novel concept of an Experience as a Trajectory (EaaT). In addition, ARTIST will provide tools for the tracking, monitoring and analysis of user behaviour and their interaction with the environment and with other users, towards optimizing MR experiences by recommending their reconfiguration, dynamically (at run-time) or statically (at development time). Finally, it will provide tools for synthesizing experiences into new mega and still reconfigurable EaaTs, enhancing them at the same time using semantically integrated related data/information available in disparate and heterogeneous resources.

scholarly journals A reAl-time low-effoRt mulTi-entity Interaction System for creaTing reusable and optimized MR experiences

2019 ◽  
Vol 5 ◽  
Author(s):  
Konstantinos Kotis
Keyword(s):  
Real Time ◽  
Development Time ◽  
Mixed Reality ◽  
Research Approach ◽  
The Novel ◽  
High Quality ◽  
Related Data ◽  
Novel Methods ◽  
Novel Concept ◽  
Heterogeneous Resources

ARTIST is a research approach introducing novel methods for real-time multi-entity interaction between human and non-human entities, to create reusable and optimized Mixed Reality (MR) experiences with low-effort, towards a Shared MR Experiences Ecosystem (SMRE2). As a result, ARTIST delivers high quality MR experiences, facilitating the interaction between a variety of entities which interact in a virtual and symbiotic way within a mega, virtual and fully-experiential world. Specifically, ARTIST aims to develop novel methods for low-effort (code-free) implementation and deployment of open and reusable MR content, applications and tools, introducing the novel concept of an Experience as a Trajectory (EaaT). In addition, ARTIST will provide tools for the tracking, monitoring and analysis of user behaviour and their interaction with the environment and with other users, towards optimizing MR experiences by recommending their reconfiguration, dynamically (at run-time) or statically (at development time). Finally, it will provide tools for synthesizing experiences into new mega and still reconfigurable EaaTs, enhancing them at the same time using semantically integrated related data/information available in disparate and heterogeneous resources.

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