• Title/Summary/Keyword: Smart Glasses

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The introduction of Realistic media services to resolve conflicts between residents and visitors and insufficient service of free village tourist attractions in Korea Focusing on location-based services and SmartGlasses (국내 무료 마을관광지의 미흡한 서비스와 주민과 방문객의 갈등 해결을 위한 실감미디어 서비스 도입 - 위치기반서비스 및 스마트글라스를 중심으로)

  • Lee, Seung-Hyun
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.4
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    • pp.423-428
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    • 2022
  • This paper deals with whether it is possible to find a way to solve the conflict between villagers and tourists by newly defining the difference between free village and public tourist destinations in Korea, reinforce the insufficient guidance and notification services with realistic media, and implement additional killing contents and attractions. Location-based service enables real-time docent service and emergency response and smart glass thread.

A Survey on User Interface Considering Social Acceptability based on Smart Glasses (스마트 글라스 기반의 사회적 수용성을 고려한 사용자 인터페이스 기존 연구 분석)

  • Lee, Minho;Heo, Hwan;Kim, Jaewoo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2019.10a
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    • pp.1160-1161
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    • 2019
  • Augmented Reality(AR) 기반의 스마트 글라스가 제공하는 일반적인 사용자 인터페이스는 카페 혹은 도서관 등과 같은 공공장소에서 사용이 꺼려지는 경향이 있다. 콘텐츠 조작 시 주변 사람들에게 관심을 받거나 프라이버시를 지키기 어렵기 때문이다. 이런 문제는 사회적으로 수용 가능한 범위 내에서의 사용자 인터페이스를 수행함으로써 해결할 수 있다. 본 논문에서는 스마트 글라스에서 사회적 수용성을 고려한 사용자 인터페이스의 기존 연구들을 분석하고자 한다.

Development of Street Crossing Assistive Embedded System for the Visually-Impaired Using Machine Learning Algorithm (머신러닝을 이용한 시각장애인 도로 횡단 보조 임베디드 시스템 개발)

  • Oh, SeonTaek;Jeong, Kidong;Kim, Homin;Kim, Young-Keun
    • Journal of the HCI Society of Korea
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    • v.14 no.2
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    • pp.41-47
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    • 2019
  • In this study, a smart assistive device is designed to recognize pedestrian signal and to provide audio instructions for visually impaired people in crossing streets safely. Walking alone is one of the biggest challenges to the visually impaired and it deteriorates their life quality. The proposed device has a camera attached on a pair of glasses which can detect traffic lights, recognize pedestrian signals in real-time using a machine learning algorithm on GPU board and provide audio instructions to the user. For the portability, the dimension of the device is designed to be compact and light but with sufficient battery life. The embedded processor of device is wired to the small camera which is attached on a pair of glasses. Also, on inner part of the leg of the glasses, a bone-conduction speaker is installed which can give audio instructions without blocking external sounds for safety reason. The performance of the proposed device was validated with experiments and it showed 87.0% recall and 100% precision for detecting pedestrian green light, and 94.4% recall and 97.1% precision for detecting pedestrian red light.

CNN-Based Hand Gesture Recognition for Wearable Applications (웨어러블 응용을 위한 CNN 기반 손 제스처 인식)

  • Moon, Hyeon-Chul;Yang, Anna;Kim, Jae-Gon
    • Journal of Broadcast Engineering
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    • v.23 no.2
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    • pp.246-252
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    • 2018
  • Hand gestures are attracting attention as a NUI (Natural User Interface) of wearable devices such as smart glasses. Recently, to support efficient media consumption in IoT (Internet of Things) and wearable environments, the standardization of IoMT (Internet of Media Things) is in the progress in MPEG. In IoMT, it is assumed that hand gesture detection and recognition are performed on a separate device, and thus provides an interoperable interface between these modules. Meanwhile, deep learning based hand gesture recognition techniques have been recently actively studied to improve the recognition performance. In this paper, we propose a method of hand gesture recognition based on CNN (Convolutional Neural Network) for various applications such as media consumption in wearable devices which is one of the use cases of IoMT. The proposed method detects hand contour from stereo images acquisitioned by smart glasses using depth information and color information, constructs data sets to learn CNN, and then recognizes gestures from input hand contour images. Experimental results show that the proposed method achieves the average 95% hand gesture recognition rate.

A Study on Apparatus of Smart Wearable for Mine Detection (스마트 웨어러블 지뢰탐지 장치 연구)

  • Kim, Chi-Wook;Koo, Kyong-Wan;Cha, Jae-Sang
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.2
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    • pp.263-267
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    • 2015
  • current mine detector can't division the section if it is conducted and it needs too much labor force and time. in addition to, if the user don't move the head of sensor in regular speed or move it too fast, it is hard to detect a mine exactly. according to this, to improve the problem using one direction ultrasonic wave sensing signal, that is made up of human body antenna part, main micro processor unit part, smart glasses part, body equipped LCD monitor part, wireless data transmit part, belt type power supply part, black box type camera, Security Communication headset. the user can equip this at head, body, arm, waist and leg in removable type. so it is able to detect the powder in a 360-degree on(under) the ground whether it is metal or nonmetal and it can express the 2D or 3D film about distance, form and material of the mine. so the battle combats can avoid the mine and move fast. also, through the portable battery and twin self power supply system of the power supply part, combat troops can fight without extra recharge and we can monitoring the battle situation of distant place at the command center server on real-time. and then, it makes able to sharing the information of battle among battle combats one on one. as a result, the purpose of this study is researching a smart wearable mine detector which can establish a smart battle system as if the commander is in the site of the battle.

Status and promoting of fitness IT (피트니스 IT 현황 및 활성화 방안)

  • Kang, Sunyoung;Kang, Seungae;Jung, Hyungsu
    • Convergence Security Journal
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    • v.16 no.4
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    • pp.63-68
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    • 2016
  • This study examined the current state of fitness IT which are commercially available, and proposed the prospect and promoting plans for fitness IT. Latest wearable smart market has been reorganized into smart watch market and fitness tracker market. Fitness trackers which are typical devices of fitness IT technology has developed various types of such as watch, band, clothes, glasses, and lens. Until now, the most popular type of fitness tracker are watch and band including clip, necklace, hair band etc.. Also Apple and Google referred to as the two major axes of mobile platform has provided a health-related platform such as "Healthkit" and "Google Fit" for preoccupying the fitness business. The view of the fitness IT has seen a continuous growth trend considering smaller and lighter of fitness-related wearable device. To continuous growth and promote of fitness IT, it is expected to require mash-up a variety of fitness applications and services, ensuring the convenience of user experience, design and resonable price.

Deep learning based symbol recognition for the visually impaired (시각장애인을 위한 딥러닝기반 심볼인식)

  • Park, Sangheon;Jeon, Taejae;Kim, Sanghyuk;Lee, Sangyoun;Kim, Juwan
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.9 no.3
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    • pp.249-256
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    • 2016
  • Recently, a number of techniques to ensure the free walking for the visually impaired and transportation vulnerable have been studied. As a device for free walking, there are such as a smart cane and smart glasses to use the computer vision, ultrasonic sensor, acceleration sensor technology. In a typical technique, such as techniques for finds object and detect obstacles and walking area and recognizes the symbol information for notice environment information. In this paper, we studied recognization algorithm of the selected symbols that are required to visually impaired, with the deep learning algorithm. As a results, Use CNN(Convolutional Nueral Network) technique used in the field of deep-learning image processing, and analyzed by comparing through experimentation with various deep learning architectures.

Degradation of Ion-exchange Soda-lime Glasses Due to a Thermal Treatment (이온강화 소다라임 유리의 열처리에 따른 강화 풀림현상)

  • Hwang, Jonghee;Lim, Tae-Young;Lee, Mi Jai;Kim, Jin-Ho
    • Journal of the Korean Ceramic Society
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    • v.52 no.1
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    • pp.23-27
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    • 2015
  • Recently, the use of ion-exchange strengthened glass has increased sharply, as it is now used as the cover glass for smart phone devices. Therefore, many researchers are focusing on methods that can be used to strengthen ion-exchange glass. However, research on how the improved strength can be maintained under thermal environment of device manufacturing is still insufficient. We tested the degradation of the characteristics of ion-exchange soda-lime glass samples, including their surface compressive stress characteristics, the depth of the ion-exchange layer (DOL), flexural strength, hardness, and modulus of rupture (MOR) values. Degradation of the characteristics of the ion-exchange glass samples occurred when they were heat-treated at a temperature that exceeded $350^{\circ}C$.

Fast fabrication of amphibious bus with low rollover risk: Toward well-structured bus-boat using truck chassis

  • Mehrmashhadi, Javad;Mallet, Philippe;Michel, Paul;Yousefi, Amin Termeh
    • Smart Structures and Systems
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    • v.24 no.4
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    • pp.427-434
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    • 2019
  • This study investigates the structural integrity of the amphibious tour bus under the rollover condition. The multi-purpose bus called Dual Mode Tour Bus (DMTB) which explores on land and water has been designed on top of a truck platform. Prior to the fabrication of new upper body and sailing equipment of DMTB, computational analysis investigates the rollover protection of the proposed structure including superstructure, wheels, and axles. The Computer-Aided Design (CAD) of the whole vehicle model is meshed and preprocessed under high performance using the Altair HyperMesh to attain the best mesh model suited for finite element analysis (FEA) on the proposed system. Meanwhile, the numerical model is analyzed by employing LS-DYNA to evaluate the superstructure strength. The numerical model includes detail information about the microstructure and considers wheels and axles as rigid bodies but excludes window glasses, seats, and interior parts. Based on the simulation analysis and proper modifications especially on the rear portion of the bus, the local stiffness significantly increased. The vehicle is rotated to the contact point on the ground based on the mathematical method presented in this study to save computational cost. The results show that the proposed method of rollover analysis is highly significant not only in bus rollover tests but in crashworthiness studies for other application. The critical impartments in our suggested dual-purpose bus accepted and passed "Economic Commission for Europe (ECE) R66".

The Practical Research of Mixed Reality for Photographic Darkroom Education

  • Li, Wei;Cho, Dong-Min
    • Journal of Korea Multimedia Society
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    • v.24 no.1
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    • pp.155-165
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    • 2021
  • With the continuous development and progress of science and technology, the field of mixed reality applications has involved scientific research, medicine, entertainment, education, information dissemination, and people's daily lives; This paper will focus on the application of mixed reality in the field of education and teaching, relying on the characteristics of mixed reality technology. This article will use the combination of mixed reality and smart glasses to fully consider the characteristics of photography darkroom teaching, design and produce a mixed reality photography darkroom teaching software, and explore the feasibility of the application of mixed reality in teaching. This paper will use literature research methods, practical research methods, and survey methods as the main methods of research topics to determine the importance, feasibility, and necessity of the relevant theories studied in this paper. The application of mixed reality technology in photography darkroom teaching can not only solve many problems in the existing darkroom teaching methods, but also develop and expand students' Independent learning ability. It is concluded from this that mixed reality teaching software has the feasibility of sustainable development, which brings particular application value to the development and research of other education and art discipline software.