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        검색결과 7

        1.
        2019.02 KCI 등재 구독 인증기관 무료, 개인회원 유료
        Background: The Microsoft Kinect which is a low-cost gaming device has been studied as a promise clinical gait analysis tool having satisfactory reliability and validity. However, its accuracy is only guaranteed when it is properly positioned in front of a subject. Objects: The purpose of this study was to identify the error when the Kinect was positioned at a 45˚ angle to the longitudinal walking plane compare with those when the Kinect was positioned in front of a subject. Methods: Sixteen healthy adults performed two testing sessions consisting of walking toward and 45˚ obliquely the Kinect. Spatiotemporal outcome measures related to stride length, stride time, step length, step time and walking speed were examined. To assess the error between Kinect and 3D motion analysis systems, mean absolute errors (MAE) were determined and compared. Conclusion: Based on our study experience, positioning the Kinect directly in front of the person walking towards it provides the optimal spatiotemporal data. Therefore, we concluded that the Kinect should be placed carefully and adequately in clinical settings.
        4,000원
        3.
        2015.12 KCI 등재 구독 인증기관 무료, 개인회원 유료
        국제 수로기구(IHO)에서는 해양분야에 범용으로 사용 가능한 국제 GIS 표준으로 S-100 표준규격을 채택하였다. 이에 따라 GIS 표준기술 기반의 차세대 항행정보 지원시스템에 대한 기술이 개발되고 있으며, 현재 CCTV 영상에 항행정보를 덧입혀 항행에 지원할 수 있는 증강현실 기반의 항행정보시스템이 개발되고 있다. 이에 본 연구에서는 이 시스템을 효과적으로 지원할 수 있는 방안으로 투명 디스플레이에서의 적용을 고려하였다. 투명 디스플레이 적용 시 시계확보를 위한 광각 렌즈사용으로 인한 영상왜곡, 사용자 위치에서의 CCTV 영상과 투명 디스플레이 투영 이미지의 불일치로 인하여 사용자가 실제 바라보는데 이질감이 발생하므로, 이를 해결하기 위한 시계정합 및 영상보정 방법에 대한 연구를 진행하였으며, 이를 프로토타입으로 개발하여 기술적용의 가능성을 입증하였다.
        4,000원
        4.
        2015.06 구독 인증기관 무료, 개인회원 유료
        Global interest in smart-wear has risen rapidly in the 21stcentury. “Smart-wear” is one application of intelligent textiles and refers to all clothes made with intelligent textiles (or those that are a convergence). New developments represent a positive opportunity for the fashion industry to integrate new technologies to evolve. Smart-wear also includes wearable computers or digital clothing defined as “garment-integrated devices which augment the functionality of clothing, or which impart information-processing functionality to a garment”. The garment is an ideal interface medium between humans and electronic products due to interaction and technologies in the fashion industry. Smart-wear represents the future of both the textile/clothing industry and electronic industry. Smart-wear for transformable garments allow the conversion of aesthetics and functionality into multiple looks and functions that satisfy various user needs and wants. Smart-wear offers a potential paradigm shift. Precedent studies have focused on the role of transformation to understand the relationship and interaction between humans and new digital technologies (Petersen, Iversen, Krogh, & Ludvigsen, 2004). Hussein Chalayan created aa transformer dress that can twitch and reconfigure. The long Victorian dress hemline contracts into a flapper style dress. Berzowska created dresses that use shape memory alloys to move and change in continuous motions (Ariyatum & Holland, 2003).Perocich used a pneumatic approach to lift garments and change the appearance of clothes (von Radziewsky, Krüger, & Löchtefeld, 2015).Lee & Kim(2014) built a shape-changing dress which apply fabric properties and illuminance sensor to fold pleats. The idea of changing the overall appearance of clothes seems promising. Contemporary smart-wear has various functions that include sensing, actuating, powering, generating, storing, communicating, data processing and connecting. Technologies to develop digital applications can be easily controlled by smart-wear using an Arduino (Na & Cho, 2009). An embedded system for using Arduino can be worn like clothing or an accessory that is a favorable for shop window display. Shop window displays of fashion products have cultural consumption and fashioned identities that have developed into forms of art themselves and produce interesting imagery within fashion culture. In recent decades store window displays have become a unique form of advertising and are the first point of contact between the shop and the shopper (Crewe, 2015). The shop window display design might not instantly attract attention until the shopper realizes its interactive aspects. Such an interaction visually reveals a relationship between the store window and shopper's reaction. In order to connect these shop window displays with an interactive fashion design, this paper aims to illustrate how these concepts fit into the prototype. This paper develops a prototype of Wearable Shape-Changing (WSC) that deforms the fabric for pleat making on clothing for a store window dummy. Data processing is created by the motion of a shopper for the input functionality to discriminate between different shopper motions using the Microsoft Kinect sensor. A concealed Kinetic system scans every part of shopper’s joint for skeleton extraction when the shopper is outside the shop window. It is able to detect the shopper’s simple motion and simultaneously deliver information to the Arduino in the system. The prospective fashion display system needs to be devised based on a more serious technical method that utilizes information on the physical properties of fabrics to facilitate development in the store window. There has been some discussion on how fabrics could create foldable clothing items; in addition, a range folding techniques has been extended to e-textile due to useful characteristics (Perovich, Mothersill, & Farah, 2014). The experiments performed in this paper allows observers to examine basic fabric characteristics and physical properties. The behavior changes during fold deformation and the recovery process as well as identifies correlations between stiffness and recovery rate. As an experimental sample, this paper selects 2 types of fabric that have relatively stiff characteristics of a organza (one is 100% silk and the other is 100% polyester). The pleats type selects a diamond-pattern and the pleats finishing process employs a heat-setting method commonly used in the fashion industry. The results were as follows: The Silk organza has 66 weight(g/㎡) and 0.17 nominal thickness (㎜) and the Polyester organza has 39.6 weight(g/㎡) and 0.11 nominal thickness (㎜). Both silk and polyester samples have the large stiffness value in the weft direction. Tensile properties resulted in similar values in both the warp and in the weft directions. Polyester has a great thermothermos plasticity, unique resilience, providing good pleats retention and crease recovery while silk has a low wrinkle recovery. However, silk has identical recovery rate in first and second elongation deformations for diamond-pattern pleats. The diamond-pattern also has a significant correlation with the warp and bias directions. Thus, folding composition should consider the directions of the fabric according to folding technique. Based on the experiment’s results among fabric samples’ physical properties of silk were chosen for the prototype. In the prototype, the shop window displaying dummy wears a long dress, but it is designed to become shorter when the shopper lifts the arm. The mechanism by the operating design pulls the hemline in the front up to the lower thigh when the kinetic sensor detects motion. As a means of visual communications or expression of the shopper’s mood, illuminance may be attached according to the shopper’s discretion. The advantage of the WSC dress compared to a traditional static dress is that the transforming shape occurs immediately by means of interaction. Future studies, different approaches were proposed to clothing both hand and finger movements in a mobile environment. This paper focuses on a set of alliances between technology and fashion/textiles, with the WSC designed as an interface to be used for both purposes. This study represents a bridge between fashionable technologies and informative material properties. It represents a small first step from static dynamic fashion to dynamic interactive fashion.
        3,000원
        5.
        2013.06 KCI 등재 구독 인증기관 무료, 개인회원 유료
        Creating avatar animations are tedious and time-consuming task since the desired avatar poses should be specified for each of a large number of keyframes. This paper proposes a fast and handy method to create game character animation contents using the motion data captured from the Kinect sensor. A Kinect sensor captures and saves the human motion. The Kinect sensor provides the motion information in a simple form of coordinates of joint positions. Using the captured motion data we determine the set of bone transforms that makes up the human skeletal animation data. The animation data is utilized to determine the position of all the bones at the current time in the animation. For experimental purpose we create a simple avatar character. We express the character model by the MD5 format, in which the mesh data and animation data are separated. A set of twenty joint positions reflect a snapshot of the character pose. The sets are used to evaluate the bone transform matrices and construct our skeletal animation scheme. We verified our method by appling the captured Kinect motion data to character animation. Our approach provides an easy method for creating avatar animations.
        4,000원
        6.
        2015.02 KCI 등재 서비스 종료(열람 제한)
        This paper presents a method of improving the pose recognition accuracy of objects by using Kinect sensor. First, by using the SURF algorithm, which is one of the most widely used local features point algorithms, we modify inner parameters of the algorithm for efficient object recognition. The proposed method is adjusting the distance between the box filter, modifying Hessian matrix, and eliminating improper key points. In the second, the object orientation is estimated based on the homography. Finally the novel approach of Auto-scaling method is proposed to improve accuracy of object pose estimation. The proposed algorithm is experimentally tested with objects in the plane and its effectiveness is validated.
        7.
        2014.10 KCI 등재 서비스 종료(열람 제한)
        스마트폰에서 시작한 혁신적인 사용자 인터페이스는 사람의 자연스러운 동작을 인식하는 NUI(Natural User Interface)로 발전하여 앞으로 모든 가전제품의 기본적인 사용자 경험으로 자리 잡을 것으로 예상된다. 본 연구는 교육용 Java 개발도구인 Greenfoot과 마이크로소프트 Kinect 센서를 이용하여 NUI 프로그래밍을 지도하는 방법을 사례 중심으로 모색하였다. 본 연구에 참여한 학생들을 대상으로 총 30차시를 지도한 후 NUI에 대한 이해와 분석, 한계점 인식, 그리고 NUI 프로그램 제작에 대한 자기효능감에 대해 1:1 심층 면담을 실시하였다. 연구결과, 중 고등학생들도 어렵지 않게 고품질의 NUI 프로그램을 제작할 수 있고, 이 과정에서 객체지향 프로그래밍의 개념과 혁신적인 사용자 인터페이스에 대한 가능성을 탐색하였으며, NUI 프로그래밍에 대해 긍정적으로 인식하고 있음을 확인할 수 있었다.