• Journal of the Institute of Convergence Signal Processing
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• v.12 no.4
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• pp.258-266
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• 2011

AR(Augmented Reality) technology is now easily shown around us with respect to its applicable areas' being spreaded into various shapes since the usage is simply generalized and many-sided. Currently existing camera vision based AR used marker based methods rather than using real world's informations. For the marker based AR technology, there are limitations on applicable areas and its environmental properties that a user could immerse into the usage of application program. In this paper, we proposed a novel AR method which users could recognize objects from the real world's data and the related 3-dimensional contents are also displayed. Those are done using image processing skills and a smart mobile embedded camera for terminal based AR implementations without any markers. Object recognition is done from the comparison of pre-registered and referenced images. In this process, we tried to minimize the amount of computations of similarity measurements for improving working speed by considering features of smart mobile devices. Additionally, the proposed method is designed to perform reciprocal interactions through touch events using smart mobile devices after the 3-dimensional contents are displayed on the screen. Since then, a user is able to acquire object related informations through a web browser with respect to the user's choice. With the system described in this paper, we analyzed and compared a degree of object recognition, working speed, recognition error for functional differences to the existing AR technologies. The experimental results are presented and verified in smart mobile environments to be considered as an alternate and appropriate AR technology.

• Korean Journal of Computational Design and Engineering
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• v.18 no.5
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• pp.374-383
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• 2013

Various interaction techniques have been studied for providing the feeling of touch and improve immersion in augmented reality (AR) environments. Tangible AR interaction exploiting two types (product-type and pointer-type) of simple objects has earned great interest for cost-effective design evaluation of digital handheld products. When the sizes of markers attached to the objects are kept big to obtain better marker recognition, the pointer-type object frequently and significantly occludes the product-type object, which deteriorates natural visualization and level of immersion in an AR environment. In this paper, in order to overcome such problems, we propose tangible AR interaction using fingertip touch combined with small-sized markers. The proposed approach facilitates the use of convex polygons to recover the boundaries of AR markers which are partially occluded. It also properly enlarges the pattern area of each AR marker to reduce the sizes of AR markers without sacrificing the quality of marker detection. We empirically verified the quality of the proposed approach, and applied it in the process of design evaluation of digital products. From experimental results, we found that the approach is comparably accurate enough to be applied to the design evaluation process and tangible enough to provide a pseudo feeling of manipulating virtual products with human hands.

• The Journal of the Korea Contents Association
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• v.22 no.6
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• pp.78-91
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• 2022

The importance of emotional intelligence education in the development of children's augmented reality education content is overlooked. Therefore, in-depth research is needed to develop children's emotional intelligence. This study was conducted through theoretical consideration and case analysis. The proposal of this paper is that the augmented reality type for children aged 2 to 7 is suitable for indoor activities with marking recognition technology. To promote an understanding of emotions, a large screen is selected, and emoticon dolls or emoticon books are recommended for learning content. Children aged 7 to 11 are suitable for indoor activities of non-marker recognition technology, and can induce emotional control and emotional recognition through active manipulation. For the learning content, "3D art teaching content" and "Online Classic Musical" are recommended. Children after the age of 11 are suitable for non-marker recognition technology outdoor activities and improve each element of emotional intelligence through interaction with nature and society. For the learning content, 'Forest Play Activity through Art' and 'EQ Theater Play' are recommended. Through this paper, we intend to promote the development of children's augmented reality emotional intelligence education.

• Bulletin of the Korean Chemical Society
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• v.34 no.7
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• pp.2081-2085
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• 2013

A quantitative method for determining levels of three bioactive compounds based on pattern recognition was developed and fully validated for the quality control of Alismatis Rhizoma (AR) by HPLC. Separation conditions were optimised using an Optimapak $C_{18}$ column ($250mm{\times}4.6mm$, 5 ${\mu}m$) with a mobile phase of acetonitrile and 0.1% aqueous phosphoric acid and detection wavelengths of 205 and 245 nm. Method validation yielded acceptable linearity ($r^2$ > 0.9998) and percent recovery (98.06%-101.71%). Limits of detection ranged from 0.08 to 0.15 ${\mu}g/mL$. Levels of the three bioactive compounds, alisol C acetate, alisol B, and alisol B acetate, in AR were 0.07-0.45, 0.38-10.32, and 1.13-8.59 mg/g dried weight, respectively. Pattern analyses based on these three compounds were able to differentiate Chinese and Korean samples accurately. The results demonstrate that alisol B and its acetate may be used as marker compounds for AR quality and can be regulated to no less than 0.36 and 1.29 mg/g of dried sample, respectively. The method described here is suitable for quantitative analyses and quality control of multiple components in AR.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.12
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• pp.6420-6426
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• 2013

The indoor areas for the commercial use of automatic monitoring systems of mobile robot localization improves the cognitive abilities and the needs of the environment with this emerging and existing mobile robot localization, and object recognition methods commonly around its great sensor are leveraged. On the other hand, there is a difficulty with a problem-solving self-location estimation in indoor mobile robots using only the sensors of the robot. Therefore, in this paper, a self-position estimation method for an enhanced and effective mobile robot is proposed using a marker and CCTV video that is already installed in the building. In particular, after recognizing a square mobile robot and the object from the input image, and the vertices were confirmed, the feature points of the marker were found, and marker recognition was then performed. First, a self-position estimation of the mobile robot was performed according to the relationship of the image marker and a coordinate transformation was performed. In particular, the estimation was converted to an absolute coordinate value based on CCTV information, such as robots and obstacles. The study results can be used to make a convenient self-position estimation of the robot in the indoor areas to verify the self-position estimation method of the mobile robot. In addition, experimental operation was performed based on the actual robot system.

• Bulletin of the Korean Chemical Society
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• v.35 no.1
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• pp.158-164
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• 2014

Substance P and neuropeptide Y were discovered as early diagnostic biomarkers of acute myocardial infarction in Korean patients and confirmed using enzyme-linked immunosorbent assay (ELISA). We screened 12 peptides from the sera of Korean acute myocardial infarction (AMI) patients and detected 3 peptides (neuropeptide Y, substance P, and N-terminal pro-B-type natriuretic peptide) to be elevated from patients' sera by liquid chromatography mass/mass spectrometry. The elevated concentration of 3 peptides was confirmed by ELISA. The screening results revealed the substance P, neuropeptide Y, and pro-B-type natriuretic peptide (47-76) concentrations were higher in patients' sera than in healthy controls. The sensitivity and specificity of substance P for AMI diagnostic marker were 80% and 83%, respectively, and those of neuropeptide Y were 87% and 90%, respectively compared to healthy controls. These results suggest that substance P and neuropeptide Y could be used as early diagnostic biomarkers in patients with AMI.

• ETRI Journal
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• v.33 no.4
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• pp.569-579
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• 2011

This paper presents a novel approach for human activity recognition (HAR) using the joint angles from a 3D model of a human body. Unlike conventional approaches in which the joint angles are computed from inverse kinematic analysis of the optical marker positions captured with multiple cameras, our approach utilizes the body joint angles estimated directly from time-series activity images acquired with a single stereo camera by co-registering a 3D body model to the stereo information. The estimated joint-angle features are then mapped into codewords to generate discrete symbols for a hidden Markov model (HMM) of each activity. With these symbols, each activity is trained through the HMM, and later, all the trained HMMs are used for activity recognition. The performance of our joint-angle-based HAR has been compared to that of a conventional binary and depth silhouette-based HAR, producing significantly better results in the recognition rate, especially for the activities that are not discernible with the conventional approaches.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.251-252
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• 2019

본 논문에서는 기존의 AGV보다 높은 안전성과 Task Scheduling을 바탕으로 한 효율적인 AGV를 제안하였다. AGV는 객체인식 알고리즘인 YOLO로 다른 AGV를 인식하여 자동으로 피난처로 들어간다. 또한 마커인식 알고리즘인 ar_markers를 이용하여 그 위치가 적재소인지 생산 공정인지를 판단하여 각 마커마다 멈추고 피난처에 해당하는 Marker가 인식되고 다른 AGV가 인식되면 피난처로 들어가는 동작을 한다. 이 모든 로그는 Mobius를 이용해 Spring기반의 웹 홈페이지로 확인할 수 있으며, 작업스케줄 명령 또한 웹 홈페이지에서 내리게 된다. 위 작업스케줄은 외판원, 벨만-포드 알고리즘을 적용한 뒤 강화학습알고리즘 중 하나인 DQN을 이용해 최적 값을 도출해 내고 그 값을 DB에 저장해 AGV가 움직일 수 있도록 한다. 본 논문에서는 YOLO와 Marker 그리고 웹을 사용하는 AGV가 기존의 AGV에 비해 더욱 가볍고 큰 시설이 필요하지 않다는 점에서 우수함을 보인다.

• Journal of the HCI Society of Korea
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• v.2 no.2
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• pp.11-18
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• 2007

We propose a novel method to conceal fiducial markers observed in augmented scenes using patch-based texture synthesis. Despite the efficiency for simple object recognition and tracking, the markers deliver inherent obtrusiveness. They do not only reduce immersiveness, but also severely degrade usability of augmented reality. The proposed method constructs alternative images in real time to overlay markers present in the sequence of images. The global characteristics of background textures are retained and the results are more adaptive to illumination changes.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.131-136
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• 2007

본 논문에서는 모바일 증강현실에서 스마트 오브젝트 인식 및 트래킹을 위한 임베디드 마커 시스템을 제안한다. 기존의 증강 현실 연구에서 주로 사용하는 마커는 임의의 패턴을 포함하고 대상 오브젝트와는 분리되어 있다. 이는 부자연스러운 시각적 장애 요인으로 작용한다. 또한 특정한 마커를 사용하기 위해 학습 과정을 거친 후 그 결과를 인식 모듈에서 일일이 등록해야 하는 번거로움이 있다. 이러한 문제점을 해결하기 위해 제안하는 임베디드 마커는 디스플레이 장치의 유무에 따라 고정형 또는 가변 형으로 분류된 스마트 오브젝트의 특성을 고려하여 오브젝트와 마커를 결합한다. 또한 통합된 학습과 인식 모듈을 통해 오브젝트의 추가 및 시스템 확장을 용이하게 한다. 제안된 시스템은 스마트 홈 테스트베드인 ubiHome 에 적용되었다. 또한 사용 성 평가를 통해 그 효용성을 분석하였다. 이러한 임베디드 마커를 사용하면 사용자는 보다 직관적으로 마커의 용도를 예측할 수 있고 대상물과의 시선을 일치시켜 자연스러운 증강현실을 경험할 수 있을 것으로 기대된다.