Metaphors for Software Visualization Systems Based on Virtual Reality

Averbukh, Vladimir L.; Averbukh, Natalya; Vasev, Pavel; Gvozdarev, Ilya; Levchuk, Georgy; Melkozerov, Leonid; Mikhaylov, I. A.

doi:10.1007/978-3-030-25965-5_6

Cited by 11 publications

(17 citation statements)

References 17 publications

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“…HPE is a vital research field and can be applied to various applications such as action/activity detection, action recognition [41,54,120], human tracking [19, Fig. 1 Pose estimation [3] 39], virtual reality, video surveillance [2], movies and animation, human-computer interaction [85], self-driving, medical assistance [107] and sports motion analysis. Table 2 shows and describes a list of the applications that can be done with the pose estimations.…”

Section: Impactful Past Papersmentioning

confidence: 99%

Human pose, hand and mesh estimation using deep learning: a survey

Toshpulatov

Lee

et al. 2022

J Supercomput

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Human pose estimation is one of the issues that have gained many benefits from using state-of-the-art deep learning-based models. Human pose, hand and mesh estimation is a significant problem that has attracted the attention of the computer vision community for the past few decades. A wide variety of solutions have been proposed to tackle the problem. Deep Learning-based approaches have been extensively studied in recent years and used to address several computer vision problems. However, it is sometimes hard to compare these methods due to their intrinsic difference. This paper extensively summarizes the current deep learning-based 2D and 3D human pose, hand and mesh estimation methods with a single or multi-person, single or double-stage methodology-based taxonomy. The authors aim to make every step in the deep learning-based human pose, hand and mesh estimation techniques interpretable by providing readers with a readily understandable explanation. The presented taxonomy has clearly illustrated current research on deep learning-based 2D and 3D human pose, hand and mesh estimation. Moreover, it also provided dataset and evaluation metrics for both 2D and 3DHPE approaches.

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Section: Impactful Past Papersmentioning

confidence: 99%

Human pose, hand and mesh estimation using deep learning: a survey

Toshpulatov

Lee

et al. 2022

J Supercomput

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“…and of the source code (functions, classes, packages, etc.) in an immersive environment using non-expert visual metaphors such as islands (Schreiber and Misiak, 2018), cities (Oberhauser and Lecon, 2017), and a solar system (Averbukh et al, 2019). Stakeholders are then able to organise collaborative reviews or simply analyse the structure of the code alone in the environment.…”

Section: Virtual Reality For the Design Review In Software Engineeringmentioning

confidence: 99%

An Immersive Virtual Environment for Reviewing Model-Centric Designs

2021

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New design objectives as the digital twin encourage companies to replace the tradition document-based systems engineering approach by a model-centric one. All views of the system rely on different types of models that serve many objectives, especially to improve communication among stakeholders. However, the increasing number of heterogeneous models jeopardize communication at the end. Indeed, to get a holistic view of the virtual definition, engineers have no other alternative than to navigate through numerous models requiring domain-specific software and language. In this paper, we propose to use virtual reality to develop an immersive environment for a collaborative model-centric review of engineered systems. The virtual environment, which relies on a digital thread stored in a graph-oriented database, enables users to explore a model-centric design by navigating through the models in a unique virtual space. To illustrate our proposal, we use a model-centric design of a telescope and shows how our preliminary prototype supports the reviewing activity with data limited to the architecture and geometry. Future works will concentrate on the integration of data related to other perspectives on the system.

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“…For example, it is proposed to use activity theory to study and develop the activity of a programmer as a user of visual software [29] or to evaluate the behavior of users in immersive virtual environments [30].…”

Section: Theory Of Activity In the Work On Virtual Reality In Trainingmentioning

confidence: 99%

Prospects for an activity-based approach to the design and use of VR simulators in vocational training

Гаврилова

Zhigalova

2021

E3S Web Conf.

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The purpose of the article is to analyze the possibilities of the psychological theory of activity as a theoretical basis for the development and effective use of VR simulators in professional training. Based on the review of works on pedagogical theories used in the development of virtual educational applications, as well as on the theory of activity and its application to professional training, the conclusion is made about the undisclosed potential of the activity approach. The most promising position is the position on the functional structure of activity (motive-goal-action-operation) and the understanding of learning as a system of educational tasks. The development of an activity-based approach to professional education can be the development of a classification of typical educational and professional tasks and scenarios for modeling on virtual simulators. Work in this direction was started by a team of IT specialists, teachers, psychologists and psychophysiologists from the School of Pedagogy of the Far Eastern Federal University.

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Metaphors for Software Visualization Systems Based on Virtual Reality

Cited by 11 publications

References 17 publications

Human pose, hand and mesh estimation using deep learning: a survey

Human pose, hand and mesh estimation using deep learning: a survey

An Immersive Virtual Environment for Reviewing Model-Centric Designs

Prospects for an activity-based approach to the design and use of VR simulators in vocational training

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