• 제목/요약/키워드: Virtual human

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Comparison of Virtual Avatars by Using Automatic and Manual Method

  • Lim, Ho-Sun;Istook, Cynthia L.
    • 한국의류학회지
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    • 제34권12호
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    • pp.1968-1979
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    • 2010
  • New technology that includes 3D body scanning, digital virtual human, and digital virtual garments has had a significant impact on the current apparel industry. Virtual simulation technology enables the visualization of a 3D virtual garment on a virtual avatar so that consumers can try on garments with their virtual avatars before purchasing. However, the manual virtual avatar provided for online apparel shopping currently has revealed limitations on the different body sizes and shapes of customers. This study analyzes the process of designing the automatic virtual avatar and the manual virtual avatar using OptiTex software; in addition, the study compares the practicality of the automatic virtual avatar with that of the manual virtual avatar. Data was examined by evaluating how much each virtual avatar is similar to the real body and how well it matched the needs of the current apparel industry. In the study, Avatar 1 was automatically created from three-dimensional body scan data and Avatar 2 was manually created from body measurements. The virtual avatar images laid over a real body image and the results were evaluated by comparing the simulated sizes of virtual avatars with those of a real body. Consequently, Avatar 1 was evaluated as more similar to the real body than Avatar 2 in all five body shapes. This study illustrates that an automatic virtual avatar might solve the fit problem that is the most common reason for a high return rate for online shopping. The results show that future virtual simulation technology needs to be improved for the practicality of the virtual avatars.

QR코드 기반 가상패션점포의 지각된 혜택과 위험요소에 대한 탐색적 연구 (An Exploratory Study of Perceived Benefits and Risks for QR Code based Virtual Fashion Stores)

  • 김은영;이미영
    • 한국생활과학회지
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    • 제22권5호
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    • pp.477-490
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    • 2013
  • This study explores critical and success factor of benefits and risks for predicting the acceptance of QR code virtual fashion stores. As an exploratory approach, this study conducted focus group interviews(FGI) with 21 panels who had experience with selected QR virtual stores (e.g., Home plus, 11th Street, Pin & Fit). Content analysis was used to generate 184 excerpts and classify into benefits and risks related to QR code virtual stores. With respect to benefits, content analysis identified four factors: Affective appeal, perceived usefulness, ubiquity, and brand promotion. Also, contents regarding perceived risks were classified into four factors: Complexity, lack of information, lack of technology infrastructure, and perceived cost. A managerial implication was discussed for predicting consumer technology acceptance of a QR code virtual store in the fashion retailing market.

Haptics for Human-Machine Interaction at The Johns Hopkins University

  • Okamura, Allison M.;Chang, Sung-Ouk
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.2676-2681
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    • 2003
  • The Haptic Exploration Laboratory at The Johns Hopkins University is currently exploring many problems related to haptics (force and tactile information) in human-machine systems. We divide our work into two main areas: virtual environments and robot-assisted manipulation systems. Our interest in virtual environments focuses on reality-based modeling, in which measurements of the static and dynamic properties of actual objects are taken in order to produce realistic virtual environments. Thus, we must develop methods for acquiring data from real objects and populating pre-defined models. We also seek to create systems that can provide active manipulation assistance to the operator through haptic, visual, and audio cues. These systems may be teleoperated systems, which allow human users to operate in environments that would normally be inaccessible due to hazards, distance, or scale. Alternatively, cooperative manipulation systems allow a user and a robot to share a tool, allowing the user to guide or override the robot directly if necessary. Haptics in human-machine systems can have many applications, such as undersea and space operations, training for pilots and surgeons, and manufacturing. We focus much of our work on medical applications.

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Using Spatial Ontology in the Semantic Integration of Multimodal Object Manipulation in Virtual Reality

  • Irawati, Sylvia;Calderon, Daniela;Ko, Hee-Dong
    • 한국HCI학회:학술대회논문집
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    • 한국HCI학회 2006년도 학술대회 1부
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    • pp.884-892
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    • 2006
  • This paper describes a framework for multimodal object manipulation in virtual environments. The gist of the proposed framework is the semantic integration of multimodal input using spatial ontology and user context to integrate the interpretation results from the inputs into a single one. The spatial ontology, describing the spatial relationships between objects, is used together with the current user context to solve ambiguities coming from the user's commands. These commands are used to reposition the objects in the virtual environments. We discuss how the spatial ontology is defined and used to assist the user to perform object placements in the virtual environment as it will be in the real world.

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3차원 가상바디 변형을 위한 체형연구 - 40대 여성을 대상으로 - (A Study on Body Shape for 3D Virtual Body Shape Transformation - Focusing on the Women with age of forties -)

  • 신주영;남윤자
    • 한국의류산업학회지
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    • 제17권2호
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    • pp.265-277
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    • 2015
  • The aim of this study was to successfully reflect human body changes on the transformation of the virtual body within 3D virtual fitting spaces. For this purpose, existing problems of shape transformation of the virtual body were analyzed and regression equations which provides useful basic data for transformation of the virtual body that can be applied usefully to the 3D virtual fitting system was developed. Necessary data for the analyses were body measurement and 3D scan data of women with average physical form between the ages of 40 through 49. The reason that we used human body changes of the female subjects in their forties was based on the recognition that fundamental female body changes start to occur from age of forty. Body shapes were largely divided into 3 groups according to obesity which was found to be the biggest factor of shape change. Seven factors were extracted based on factor analysis of 47 body measurement categories and regression equations were created to extract specific measurements for each BMI group based on these seven factors. The major contribution of this paper can be summarized as follows. First, the regression equations to extract specific measurements based on the 7 representative variables remediated existing problem of virtual bodies as it increased the number of body shape transformation areas. Second, the regression equations helped to overcome the problem of current failing to reflecting changes in body cross-section shape based on simple girth measurements based on analysis of cross-section distances.

Virtual-Constructive 시뮬레이션 연동을 활용한 공중전 전투 실험 (Virtual-Constructive Simulation Interoperation for Aircombat Battle Experiment)

  • 김동준;신용진;안경수;김영곤;문일철;배장원
    • 한국시뮬레이션학회논문지
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    • 제30권1호
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    • pp.139-152
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    • 2021
  • 시뮬레이션을 통하여 경험하기 어려운 사건을 가상적으로 체험할 수도 있으며, 분석을 수행할 수도 있다. 국방시뮬레이션 분야에서 이런 체험을 기반으로 Virtual 시뮬레이션이 연구 개발되고 있으며, 분석을 위하여 Constructive 시뮬레이션이 연구 개발되고 있다. 이런 시뮬레이션을 연동하여, VC(Virtual-Constructive) 시뮬레이션 환경을 구성할 수 있고, VC 시뮬레이션 환경은 전투 환경의 가상적인 경험과 교전개체의 지능적인 전술을 동시에 시험할 수 있는 환경이다. 또한, 최근의 인공지능 연구를 위해, 사람의 행동을 학습하는 이미테이션 학습 혹은 역강화학습 분야는 VC 환경에서 수집된 인간 행동 데이터를 필요로 한다. 제시된 연구는 공중전 분야에 VC 시뮬레이션 환경의 사례를 보여주며, 이를 통해 수집된 인간 행동 데이터의 특징을 분석하고 있다. 본 논문을 통하여, 공중전 분야 VC 시뮬레이션 환경이 어떻게 구축될 수 있으며, 인공지능 학습을 위하여 어떻게 활용될 수 있는지 보여준다.

Interactive Human Intention Reading by Learning Hierarchical Behavior Knowledge Networks for Human-Robot Interaction

  • Han, Ji-Hyeong;Choi, Seung-Hwan;Kim, Jong-Hwan
    • ETRI Journal
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    • 제38권6호
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    • pp.1229-1239
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    • 2016
  • For efficient interaction between humans and robots, robots should be able to understand the meaning and intention of human behaviors as well as recognize them. This paper proposes an interactive human intention reading method in which a robot develops its own knowledge about the human intention for an object. A robot needs to understand different human behavior structures for different objects. To this end, this paper proposes a hierarchical behavior knowledge network that consists of behavior nodes and directional edges between them. In addition, a human intention reading algorithm that incorporates reinforcement learning is proposed to interactively learn the hierarchical behavior knowledge networks based on context information and human feedback through human behaviors. The effectiveness of the proposed method is demonstrated through play-based experiments between a human and a virtual teddy bear robot with two virtual objects. Experiments with multiple participants are also conducted.

Keypoints-Based 2D Virtual Try-on Network System

  • Pham, Duy Lai;Ngyuen, Nhat Tan;Chung, Sun-Tae
    • 한국멀티미디어학회논문지
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    • 제23권2호
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    • pp.186-203
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    • 2020
  • Image-based Virtual Try-On Systems are among the most potential solution for virtual fitting which tries on a target clothes into a model person image and thus have attracted considerable research efforts. In many cases, current solutions for those fails in achieving naturally looking virtual fitted image where a target clothes is transferred into the body area of a model person of any shape and pose while keeping clothes context like texture, text, logo without distortion and artifacts. In this paper, we propose a new improved image-based virtual try-on network system based on keypoints, which we name as KP-VTON. The proposed KP-VTON first detects keypoints in the target clothes and reliably predicts keypoints in the clothes of a model person image by utilizing a dense human pose estimation. Then, through TPS transformation calculated by utilizing the keypoints as control points, the warped target clothes image, which is matched into the body area for wearing the target clothes, is obtained. Finally, a new try-on module adopting Attention U-Net is applied to handle more detailed synthesis of virtual fitted image. Extensive experiments on a well-known dataset show that the proposed KP-VTON performs better the state-of-the-art virtual try-on systems.

Fit and Pressure Analysis of Cycling Short Sleeve Tops Using a 3D Virtual Garment System

  • Park, Hyunjeong;Do, Wolhee
    • 한국의류산업학회지
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    • 제23권2호
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    • pp.237-246
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    • 2021
  • This study aims to analyze short sleeve cycling tops from three brands for a change in garment fit and pressure depending on the static and cycling postures. To this end, it used a 3D virtual garment system to virtualize the garments. Further, a cross-section of the 3D virtual garment data was obtained, and the space length was measured in the design-X program to prove the objectivity of the 3D virtual garment. The results indicated that three brands had a large space length at the front than the back because of the bent posture in cycling. Therefore, appropriate ease was required for the waist and abdomen. Although there were various cutting lines of the bodice panel by brand, the design of the cutting lines should consider the changes in the surface to reflect the bent posture in cycling. The results of this experiment confirmed that the wrinkles present in the 3D virtual garment were reflected in the cross-section and that the space length was small in the high-stress area, as shown in red. Therefore, it was proven the stress of the 3D virtual garment could be used for 3D virtual garment evaluation.