• Title/Summary/Keyword: VR-Design

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The Influence of Additional Haptic Feedback on Interactivity and Body Ownership in Virtual Reality (가상현실 햅틱 피드백 개체의 증가가 상호작용성과 신체소유감에 미치는 영향)

  • Lee, Sanguk;Chung, Donghun
    • Journal of Korea Game Society
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    • v.20 no.5
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    • pp.31-40
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    • 2020
  • The effects of two different types of haptic feedback(one-hand versus two-hand haptic feedback) on interactivity and body ownership were investigated in the virtual reality setting through an experiment. Using within-subject design, participants performed the task of hitting and destroying a ball-shaped object in virtual reality for both, one-hand and two-hand haptic feedback conditions. The results showed that participants tended to report a higher level of interactivity when using two-hand haptic feedback, whereas there was no difference between the two conditions in a sense of body ownership.

Design and Implementation of Hybrid VR lock system by Arduino Control (아두이노 제어를 통한 증강현실 도어록 설계 및 구현)

  • Lee, Kyung-Mu;Kim, Jin-Il
    • Journal of the Institute of Convergence Signal Processing
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    • v.15 no.3
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    • pp.97-103
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    • 2014
  • Recently, digital door locks have been widely used as physical security devices for the door. Although they are convenient compared to the existing lock system, they have the problem of being opened by an electric shock. In this study, to improve safety, a method to hide the door-lock device inside and to display the door-lock on a user's smart-phone screen through the augmented reality is suggested. Furthermore, an additional function has been added which provides memo notes to facilitate communication among family members. The results of this study have been implemented by using motors to control locks, Wi-Fi shield, Arduino, and a virtually created door and showed desirable experimental results.

A Study on Fashion Items to Prevent COVID-19 Using Wearable Technology

  • Park, Hye-Sook;Moon, Phil-Joo
    • International Journal of Advanced Culture Technology
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    • v.9 no.3
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    • pp.277-282
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    • 2021
  • The generalization of social distancing due to the COVID-19 pandemic has rapidly spread non-face-to-face services, accelerating the speed of non-face-to-face digital conversion technology. The importance of telemedicine, a remote service, has been rekindled in the wearable technology including the medical industry. In a situation where it is not easy for any company to overcome the COVID-19 pandemic, it is a time when collaboration within the industry or between competitors is necessary. In addition to the digital-based online exhibition hall using AR-VR-MR technology, which is a major core technology of the future industry, virtual stores that can receive services such as actual shopping should be actively used. Paradoxically COVID-19 will provide new opportunities to reshape and reconnect the future of the textile and fashion industry. Therefore, the purpose of this study is to investigate the current status of wearable technology products being developed as fashion items for the prevention of COVID-19 and analyze their characteristics. This study results can be used as basic data for future research on the fashion industry and education.

Prediction of compressive strength of GGBS based concrete using RVM

  • Prasanna, P.K.;Ramachandra Murthy, A.;Srinivasu, K.
    • Structural Engineering and Mechanics
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    • v.68 no.6
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    • pp.691-700
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    • 2018
  • Ground granulated blast furnace slag (GGBS) is a by product obtained from iron and steel industries, useful in the design and development of high quality cement paste/mortar and concrete. This paper investigates the applicability of relevance vector machine (RVM) based regression model to predict the compressive strength of various GGBS based concrete mixes. Compressive strength data for various GGBS based concrete mixes has been obtained by considering the effect of water binder ratio and steel fibres. RVM is a machine learning technique which employs Bayesian inference to obtain parsimonious solutions for regression and classification. The RVM is an extension of support vector machine which couples probabilistic classification and regression. RVM is established based on a Bayesian formulation of a linear model with an appropriate prior that results in a sparse representation. Compressive strength model has been developed by using MATLAB software for training and prediction. About 70% of the data has been used for development of RVM model and 30% of the data is used for validation. The predicted compressive strength for GGBS based concrete mixes is found to be in very good agreement with those of the corresponding experimental observations.

Measurement of EEG and Analysis of Stress Change in Space Using Virtual Reality - Focus on the Hitler's residence - (가상현실을 활용한 공간에서의 뇌파 측정과 스트레스 변화량 분석 - 히틀러 총통관저를 중심으로 -)

  • Kim, Sun-Uk;Kang, Se-Yeon;Ji, Seung-Yeul;Jun, Han-Jong
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.35 no.8
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    • pp.73-79
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    • 2019
  • The purpose of this study is to analyze the stress variation according to Hitler's residence using EEG data. Hitler's residence, one of the most monumental buildings, is designed as a grand and overbearing space, giving the visitor a sense of psychological pressure when moving from a high space to low space. Based on the above background, this paper constructs Hitler's residence using virtual reality and measure the changes of the beta waves which are known to be related with stress when the floor level moves from high to low space in Hitler's residence built in virtual space. The results of the experiment are as follows; when moving from high to low space, the subjects' stress was high and at the same time brain waves variation was increased greatly due to changes in space.

Museum Gamification Design using Story Elements

  • Jeon, Se-Won;Ryu, Gihwan;Moon, Seok-Jae
    • International Journal of Advanced Culture Technology
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    • v.8 no.4
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    • pp.25-32
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    • 2020
  • Currently, Korean museums use gamification in addition to various viewing methods, such as video and VR/AR. However, museums using museum gamification are still progressing to a special program level. The purpose of this paper is to make the contents of the museum easy to understand and to give the viewers fun. This paper goes beyond the existing museum gamification and proposes a museum story gamification that combines story elements with gamification. This proposal system collects information from each museum in cooperation with museums, art galleries, and exhibition halls and proceeds with related story games. Museum Story Gamification provides related stories according to the theme of the museum and allows viewers to select their own stories. Also, based on the story, you can directly select the difficulty level that suits you and play a personalized game. Unlike the general museum program, the methodology proposed in this paper allows visitors to experience the museum with various story contents. In addition, it will contribute to the development and implementation of programs with gamification in other tourism fields as well as museums.

Investigation of Trend in Virtual Reality-based Workplace Convergence Research: Using Pathfinder Network and Parallel Neighbor Clustering Methodology (가상현실 기반 업무공간 융복합 분야 연구 동향 분석 : 패스파인더 네트워크와 병렬 최근접 이웃 클러스터링 방법론 활용)

  • Ha, Jae Been;Kang, Ju Young
    • The Journal of Information Systems
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    • v.31 no.2
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    • pp.19-43
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    • 2022
  • Purpose Due to the COVID-19 pandemic, many companies are building virtual workplaces based on virtual reality technology. Through this study, we intend to identify the trend of convergence and convergence research between virtual reality technology and work space, and suggest future promising fields based on this. Design/methodology/approach For this purpose, 12,250 bibliographic data of research papers related to Virtual Reality (VR) and Workplace were collected from Scopus from 1982 to 2021. The bibliographic data of the collected papers were analyzed using Text Mining and Pathfinder Network, Parallel Neighbor Clustering, Nearest Neighbor Centrality, and Triangle Betweenness Centrality. Through this, the relationship between keywords by period was identified, and network analysis and visualization work were performed for virtual reality-based workplace research. Findings Through this study, it is expected that the main keyword knowledge structure flow of virtual reality-based workplace convergence research can be identified, and the relationship between keywords can be identified to provide a major measure for designing directions in subsequent studies.

A Retail Strategy for the Prosperity of the Art Market within Online Distribution Channel

  • Soomin, HAN
    • Journal of Distribution Science
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    • v.21 no.3
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    • pp.113-121
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    • 2023
  • Purpose: Online distribution channel alludes to the many different digital channels utilized in marketing and distributing goods and services to end users. The present research aims to explore and provide various retail strategy for the success of the art market within online distribution channel. Research design, data and methodology: The current author has conducted and investigate the qualitative textual methodology to take a look at carefully the current and prior literature dataset to achieve the purpose of the present research so that the present author could obtain total 27 relevant prior studies. Results: According to the comprehensive literature investigation, this research has found that there are six kinds of retail strategy for the prosperity of the art market within online distribution channel as follows: (1) Blockchain Technology, (2) Artificial Intelligence (AI), (3) Virtual Reality (VR), (4) Online Market Places, (5) Social Media, and (6) Regulations. Conclusions: The results of this analysis of the relevant literature show that the art market industry needs to adjust to keep up with the quickly shifting landscape of the digital world. In addition, although these technologies can be helpful in addressing difficulties linked to authenticity and transparency, they cannot eliminate the hazards of fraud and misrepresentation.

A Study on the Shift Register-Based Multi Channel Ultrasonic Focusing Delay Control Method using a CPLD for Ultrasonic Tactile Implementation (초음파 촉각 구현을 위한 CPLD를 사용한 Shift Register기반 다채널 초음파 집속 지연 제어 방법에 대한 연구)

  • Shin, Duck-Shick;Park, Jun-Heon;Lim, Young-Cheol;Choi, Joon-Ho
    • Journal of Sensor Science and Technology
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    • v.31 no.5
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    • pp.324-329
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    • 2022
  • This paper proposes a shift-register-based multichannel ultrasonic focusing delay control method using a complex programmable logic device (CPLD) for a high resolution of ultrasonic focusing system. The proposed method can achieve the ultrasonic focusing through the delay control of driving signals of each ultrasonic transducer of an ultrasonic array. The delay of the driving signals of all ultrasonic channels can be controlled by setting the shift register in the CPLD. The experiment verified that the frequency of the clock used for the delay control increased, the error of the focusing point decreased, and the diameter of the focusing point decreased as the length of the shift register in the proposed method. The proposed method used only one CPLD for ultrasonic focusing and did not require to use complex hardware circuits. Therefore, the resources required for the design of an ultrasonic focusing system could be reduced. The proposed method can be applied to the fields of human computer interaction (HCI), virtual reality (VR) and augmented reality (AR).

Development of Digital Twin platform using Smart Factory based CPPS (스마트팩토리 기반 CPPS를 활용한 Digital Twin 플랫폼 개발)

  • Lee, Hyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.305-307
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    • 2021
  • In this paper, we propose a study related to the development of a Digital-Twin platform using a smart factory based CPPS (Cyber Pysical Production System) using ICT (Information Communication Technology) technology. The platform developed through this study performs a 3D model simulation function in conjunction with P3R (Product, Process, Plant, Resource) including BOP (Bill of Process) management function from the preceding manufacturing process planning stage. In addition, we propose a digital twin platform that can predict production processes, equipment, layout, and production. The platform proposed through this paper proposes a feature that can manage the entire smart factory manufacturing process from the initial planning design stage to the manufacturing, production, operation, and maintenance stages.

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