Application of Virtual Avatar using Motion Capture in Immersive Virtual Environment

Park, Myeongseok; Cho, Yunsik; Na, Giri; Kim, Jinmo

doi:10.1080/10447318.2023.2254609

Cited by 5 publications

(3 citation statements)

References 37 publications

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“…Furthermore, lighter and more portable motion capture equipment enables shooting in different locations, providing flexibility in production. In a broader industry context, the integration of motion capture with virtual reality (VR) and augmented reality (AR) technologies is on the rise [25], [26], [27]. For example, [26], attempted to propose a method to create an experimental environment using motion-capture-based avatars to enhance the immersive environment, resulting in quite positive and interesting feedback.…”

Section: Literature Review a Evolution Of 3d Animation And The Role O...mentioning

confidence: 99%

“…In a broader industry context, the integration of motion capture with virtual reality (VR) and augmented reality (AR) technologies is on the rise [25], [26], [27]. For example, [26], attempted to propose a method to create an experimental environment using motion-capture-based avatars to enhance the immersive environment, resulting in quite positive and interesting feedback. All these developments collectively reflect the continuous evolution in the field of motion capture, reinforcing its role in modern 3D animation production.…”

Section: Literature Review a Evolution Of 3d Animation And The Role O...mentioning

confidence: 99%

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The Use of Motion Capture Technology in 3D Animation

Caroline Wibowo,

Nugroho,

Wibowo

2024

IJCDS

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This research explores the application of Motion Capture (MoCap) technology in 3D animation, discussing the potential of algorithms in understanding human motion and enhancing motion capture technology. Through a comprehensive review, the study identifies the strengths and limitations of motion capture systems, emphasizing the importance of maintaining a balance between accessibility and quality in the process. The research utilizes a literature review and comprehensive analysis of motion capture technology in the context of 3D animation as its methodology. Literature sources were acquired from online journal databases such as IEEE, Google Scholar, and ScienceDirect. The literature analysis involves four phases of approach, including data extraction and systematic evaluation of the content of each source. The study reveals several challenges, including the complexity of synchronizing motion data with 3D models, understanding algorithms for human motion, and improving motion capture technology. Additionally, the research highlights the potential of machine learning algorithms to enhance the accuracy and efficiency of motion capture data processing. The research findings emphasize the importance of maintaining a balance between accessibility and quality when selecting motion capture systems for 3D animation production. Furthermore, machine learning algorithms are detected to improve the accuracy and efficiency of motion capture data processing. Identified challenges include integrating motion capture into 3D animation production, considering costs, and resource requirements, and integration with animation software. The potential use of motion capture in film production, video games, and other applications provides insights into the significant impact of this technology on the visual experience for audiences. In summary, this study offers an extensive examination of the motion capture procedure, as well as its potential and obstacles within the domain of 3D animation.

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Section: Literature Review a Evolution Of 3d Animation And The Role O...mentioning

confidence: 99%

Section: Literature Review a Evolution Of 3d Animation And The Role O...mentioning

confidence: 99%

The Use of Motion Capture Technology in 3D Animation

Caroline Wibowo,

Nugroho,

Wibowo

2024

IJCDS

View full text Add to dashboard Cite

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“…VR technology is an advanced human-computer interface simulating a virtual environment where people can move and interact with unreal objects [15,16]. Based on the degree of immersion in the virtual environment, VR systems can be classified into non-immersive, semi-immersive, or immersive [16,17].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of an Immersive Virtual Reality Application for Rehabilitation after Arthroscopic Rotator Cuff Repair

Carnevale,

Mannocchi,

Schena

et al. 2023

Bioengineering

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Few studies have evaluated the effectiveness of shoulder rehabilitation in virtual environments. The objective of this study was to investigate the performance of a custom virtual reality application (VR app) with a stereophotogrammetric system considered the gold standard. A custom VR app was designed considering the recommended rehabilitation exercises following arthroscopic rotator cuff repair. Following the setting of the play space, the user’s arm length, and height, five healthy volunteers performed four levels of rehabilitative exercises. Results for the first and second rounds of flexion and abduction displayed low total mean absolute error values and low numbers of unmet conditions. In internal and external rotation, the number of times conditions were not met was slightly higher; this was attributed to a lack of isolated shoulder movement. Data is promising, and volunteers were able to reach goal conditions more often than not. Despite positive results, more literature comparing VR applications with gold-standard clinical parameters is necessary. Nevertheless, results contribute to a body of literature that continues to encourage the application of VR to shoulder rehabilitation programs.

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The metaverse experience: A scale development study

Mingione,

Mattia,

Materia

et al. 2024

J of Consumer Behaviour

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Understanding the metaverse experience (MEX) is paramount to allow companies to exploit its potential and to align with consumers' expectations. Accordingly, this paper develops a scale to identify the main dimensions that define the MEX as well as investigate which constituent dimensions of the MEX are more suited to enhance consumers' attitude toward the metaverse, a key element to foster consumers' exploratory behavior. By drawing on a research design based on multiple stages including qualitative and quantitative data and analysis, this paper develops a measure of the MEX that includes six dimensions: sensory/affective, intellectual, behavioral, relational, interoperability, and safety. The dimensions of intellectual, behavioral, and relational experience were found non‐significant showing that the MEX is built on the experiential dimensions of sensory/emotional, interoperability, and safety. These dimensions were also found to directly affect consumers' attitude toward the metaverse. The paper contributes to current discussion of the metaverse by offering the first tested and reliable scale to measure the MEX.

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Application of Virtual Avatar using Motion Capture in Immersive Virtual Environment

Cited by 5 publications

References 37 publications

The Use of Motion Capture Technology in 3D Animation

The Use of Motion Capture Technology in 3D Animation

Performance Evaluation of an Immersive Virtual Reality Application for Rehabilitation after Arthroscopic Rotator Cuff Repair

The metaverse experience: A scale development study

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