• Title/Summary/Keyword: mobile augmented reality

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Indoor Location Positioning System for Image Recognition based LBS (영상인식 기반의 위치기반서비스를 위한 실내위치인식 시스템)

  • Kim, Jong-Bae
    • Journal of Korea Spatial Information System Society
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    • v.10 no.2
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    • pp.49-62
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    • 2008
  • This paper proposes an indoor location positioning system for the image recognition based LBS. The proposed system is a vision-based location positioning system that is implemented the augmented reality by overlaying the location results with the view of the user. For implementing, the proposed system uses the pattern matching and location model to recognize user location from images taken by a wearable mobile PC with camera. In the proposed system, the system uses the pattern matching and location model for recognizing a personal location in image sequences. The system is estimated user location by the image sequence matching and marker detection methods, and is recognized user location by using the pre-defined location model. To detect marker in image sequences, the proposed system apply to the adaptive thresholding method, and by using the location model to recognize a location, the system can be obtained more accurate and efficient results. Experimental results show that the proposed system has both quality and performance to be used as an indoor location-based services(LBS) for visitors in various environments.

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Object Segmentation/Detection through learned Background Model and Segmented Object Tracking Method using Particle Filter (배경 모델 학습을 통한 객체 분할/검출 및 파티클 필터를 이용한 분할된 객체의 움직임 추적 방법)

  • Lim, Su-chang;Kim, Do-yeon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.8
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    • pp.1537-1545
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    • 2016
  • In real time video sequence, object segmentation and tracking method are actively applied in various application tasks, such as surveillance system, mobile robots, augmented reality. This paper propose a robust object tracking method. The background models are constructed by learning the initial part of each video sequences. After that, the moving objects are detected via object segmentation by using background subtraction method. The region of detected objects are continuously tracked by using the HSV color histogram with particle filter. The proposed segmentation method is superior to average background model in term of moving object detection. In addition, the proposed tracking method provide a continuous tracking result even in the case that multiple objects are existed with similar color, and severe occlusion are occurred with multiple objects. The experiment results provided with 85.9 % of average object overlapping rate and 96.3% of average object tracking rate using two video sequences.

Big Data Architecture Design for the Development of Hyper Live Map (HLM)

  • Moon, Sujung;Pyeon, Muwook;Bae, Sangwon;Lee, Dorim;Han, Sangwon
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.34 no.2
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    • pp.207-215
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    • 2016
  • The demand for spatial data service technologies is increasing lately with the development of realistic 3D spatial information services and ICT (Information and Communication Technology). Research is being conducted on the real-time provision of spatial data services through a variety of mobile and Web-based contents. Big data or cloud computing can be presented as alternatives to the construction of spatial data for the effective use of large volumes of data. In this paper, the process of building HLM (Hyper Live Map) using multi-source data to acquire stereo CCTV and other various data is presented and a big data service architecture design is proposed for the use of flexible and scalable cloud computing to handle big data created by users through such media as social network services and black boxes. The provision of spatial data services in real time using big data and cloud computing will enable us to implement navigation systems, vehicle augmented reality, real-time 3D spatial information, and single picture based positioning above the single GPS level using low-cost image-based position recognition technology in the future. Furthermore, Big Data and Cloud Computing are also used for data collection and provision in U-City and Smart-City environment as well, and the big data service architecture will provide users with information in real time.

Mobile Donation Application of User Participation Base (사용자 참여 기반의 모바일 기부 어플리케이션)

  • Chung, Myoung-Beom;Ko, Il-Ju
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.11
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    • pp.113-122
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    • 2011
  • In this paper, we propose an iPhone application that allows the user to pay for donations using the camera, GPS and call functions of the iPhone. As iOS version 3.0 allows the iPhone camera to detect and read bar codes and QR codes, the proposed application uses such codes to identify a product the user wishes to donation. After determining the user's location using the iPhone GPS function, the application can then perform a navigation task that guides the user to a suitable shop or store where the user can make his or her donation. In addition, the application offers an ARS call function that allows the user to make a direct donation, even if the user does not know the telephone number for making such donations. Therefore, the proposed application provides an easy means for the user to pay for donations directly or indirectly.

Medical Service Based on AR and VR (가상 증강현실 기반의 의료서비스)

  • Yeon, YunMo;Woo, SungHee
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.803-806
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    • 2016
  • 'Pokemon Go',which is game program, provides a clue to solve the problem of healthcare in the sense of leading changes in behavior of the users. 'Pokemon Go'is a spin-off of the $Pok{\acute{e}}mon$ game series and uses Augmented Reality(AR) technology. AR, which can be said to complement the real world, has been used in many fields such as medical applications, broadcasting, manufacturing, the mobile sector as a wide range of technologies. In particular, the medical field as area of the active application from the start of AR, provides a great help in medical fields, that is accurate medical diagnosis and prevention of unnecessary dissection by synthesizing the patient information and the image of actual patient on three-dimensional data of the sensor such as MRI or ultrasonic wave. In this study, we analyze the VR technology trends, application examples, and the future of VR and AR based medical services in healthcare.

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Analysis of oral health-related smartphone applications (구강건강 관련 스마트폰 애플리케이션 분석)

  • Jung, Jae-Yeon;Kim, Soo-Hwa
    • Journal of Korean society of Dental Hygiene
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    • v.19 no.4
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    • pp.493-502
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    • 2019
  • Objectives: This study aimed to investigate the current status of oral health applications developed for smartphones because they can be used as a new educational medium to manage and improve oral health. Methods: This study examined 60 basic oral health applications provided by Google Play Store and Apple App Store as of May 2019 and examined delivery contents, delivery methods, application types, and other information. Results: Apple included 65.4% of oral apps in the game category whereas Android included 64.3% in the education category (p>0.05). All Apple's apps and 71.4% of Android apps were developed overseas (p<0.01). The delivery contents were 61.5% for Brushing + tooth decay in Apple, and 78.6% for others (oral care products and gum diseases) in Android (p>0.05). For the delivery method, game + video was 65.4% in Apple, and game and other methods (text, image, augmented reality) was 42.9% in Android (p>0.05). In the case of application type, play type was the most common with 88.5% in Apple, and 46.4% play type and 39.3% other type (text, appreciation, problem-solving types) in Android (p<0.01). In addition, play type was high in both education (53.8%) and game (90.0%) categories (p>0.05). The average review score was 4.30 in the education category, 4.34 in the case of brushing and care (delivery contents), 4.37 in the case of using game + video (delivery methods), and 4.57 in the case of Play + other types (application type) (p>0.05). Conclusions: The use of healthcare apps is expected to increase owing to improved lifestyles, an increase in the elderly population, cost-effectiveness, and convenience that is not affected by time and place. Effective use of oral health apps will require the participation of dental professionals in the development process to identify the exact status, expand subjects, and provide appropriate information.

A Study of AR Art Exhibitions in a Post-COVID World (포스트 코로나 시대의 AR(증강현실)전시 유형 연구)

  • Yun, Kusuk
    • The Journal of the Korea Contents Association
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    • v.21 no.10
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    • pp.264-273
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    • 2021
  • To study how digital content can be effectively developed and transformed in a post-COVID world in which the normal operations of museums have been disrupted, this paper analyzes the rapid development and limitations of VR exhibitions and proposes, as an alternative, the development of AR exhibitions. Studying VR/AR exhibitions that ran before and after COVID-19, this paper finds that VR, on the one hand, translates physical objects into digital video, which lacks aesthetic depth, and encounters operational problems originated by devices. By using mobile devices that are widely distributed and convenient to use, AR exhibitions can, on the other hand, be divided into three types: "museum-specific exhibitions" can present digital content in a specific indoor space, while "place-specific exhibitions" can be used in open outdoor spaces. The "non-place-specific exhibitions", can, as third type, combine digital content with printed material sent by postal mail. Among these three types, the specific/unspecified place type shows the highest "uncontact effect," which can suggest the best direction for effective museum content development in the pandemic era.

Evaluation of User Experience in AR-based shopping Applications -Focused on Ikea Place and Amazon AR View- (AR 기반의 쇼핑 애플리케이션에서의 사용자 경험 평가 -IKEA Place와 Amazon AR View를 중심으로-)

  • Lee, Jun-hyuk;Kim, Seung-In
    • Journal of Digital Convergence
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    • v.17 no.10
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    • pp.411-416
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    • 2019
  • This study focused on IKEA Place in IKEA and Amazon AR View in Amazon to study the differences between AR shopping applications. The first literature study examined the status and prospects of the AR market and conducted a case study on AR shopping applications. In the second phase, 'Honeycomb Model' of Peter mobile was reorganized into six usability principles, focusing on the major functions of AR shopping mall application, to conduct surveys and in-depth interviews based on the task. Based on this study, it is expected to help increase AR-based application user experience, concentrating on the actual experience of the user and finding out the major experience factors.

A Study on the Development of Rural Tourism Products in Jeju Island Using Smart Glass - Attracting Group Tourists and Strategies through the Development of Realistic Media Education Contents (스마트글라스를 활용한 제주도 농촌 관광 상품 개발에 관한 연구 - 실감미디어 교육콘텐츠 개발을 통한 단체관광객 유치 및 전략)

  • Seung-Hyun Lee
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.45-51
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    • 2023
  • As COVID-19 made it difficult to travel abroad and attract domestic tourists to foreigners, the phenomenon of MZ generations flocking to Jeju through consumption patterns occurred. In this study, if Jeju Island uses Jeju's rural tourism and smart glasses to study how to attract and cope with domestic tourists after the pandemic and build a mobile application or smart glass to tour based on village maps, the docent guide service through smart glasses will help tourists. Furthermore, it would be very beneficial to introduce a location-based service to provide the necessary information at the location according to the movement path of tourists. In fact, we conclude that it can be implemented through the development of the Hansung Baekje Museum, and hope that the actual media can be applied to free tourist courses such as Jeju Olle Trail, as it provides various contents in selective development such as AR and VR.

Path loss analysis of W-band using random forest (랜덤 포레스트를 이용한 W-대역의 경로손실 분석)

  • Cho, Yeongi;Kim, Kichul;Park, Juman;Choi, Jeong Won;Jo, Han-Shin
    • Journal of IKEEE
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    • v.26 no.1
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    • pp.89-94
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    • 2022
  • The W-band (75-110GHz) is a band that can utilize at least 10 times more bandwidth than the existing 5G band. Therefore, it is one of the bands suitable for future mobile communication that requires high speed and low latency, such as virtual and augmented reality. However, since the wavelength is short, it has a high path loss and is very sensitive to the atmospheric environment. Therefore, in order to develop a W-band communication system in the future, it is necessary to analyze the characteristics of path loss according to the channel environment. In this paper, to analyze the characteristics of the W-band path loss, the random forest technique was used, and the influence of the channel parameters according to the distance section was analyzed through the path loss data according to various channel environment parameters. As a result of the simulation, the distance has the highest influence on the path loss in the short distance, and the other channel environment factor is almost ignored. However, as the distance section became longer, the influence of distance decreased while the impact of clutter and rainfall increased.