• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.4
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• pp.759-764
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• 2009

In this paper designed One-Step mobile shopping system using Multipurpose Visual Language System(MVLS). MVLS is based on braille system, and list this to a square color box. This is can accomplish convenience of use and encipherment of fundamental personal information. Also, this system has advantage to fast communication speed because that has little size packets. Planed system does and fit this in shopping to graft together mobile-phone that the such MVLS and most of internal adult are possessing. User can more fast finish shopping just photographing and press the button that show on TV or PC monitor and printed materials etc. by camera of mobile phone.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.3
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• pp.239-242
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• 2015

In this paper, we propose a walking assisting system for blind people using Android smartphone and Arduino board. In our proposed system, we use an Android smartphone case and an external ultrasonic sensor to detect the obstacles ahead. In this manner, blind people is able to aware unexpected objects by smartphone speakers or vibration functionality. In addition, the walking assisting system is also designed a notice system which will be triggered by built-in smartphone camera flash when blind people walk in some darkness place. The experimental results from real experiments on blind people have demonstrated the applicability of our walking assisting system, when it not only efficiently helps blind people avoid obstacles ahead but also possible traffic collisions in darkness condition.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.697-698
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• 2021

본 논문에서는 시각 장애우의 식품 안전성 증진을 위해 광학 문자 인식 (optical character recognition, OCR) 및 실시간 객체 인식 (you only look once, YOLO) 알고리즘에 기반한 식품의 유통기한 자동 알림 시스템을 제안한다. 제안하는 시스템은 1) 스마트폰 카메라를 통해 실시간으로 입력되는 영상에서 YOLO 알고리즘을 활용하여 유통기한으로 예측되는 이미지 영역을 검출하고, 2) 검출된 영역에서 OCR 알고리즘을 활용하여 유통기한 데이터를 추출하며, 3) 최종 추출된 유통기한 데이터를 음성으로 변환하여 시각 장애우에게 전달한다. 개발된 시스템은 유통기한 정보를 추출해서 사용자에게 전달하기까지 평균 약 7초 이내의 빠른 응답 속도를 보였으며, 62.8%의 객체 인식 정확도와 93.6%의 문자 인식 정확도를 보였다. 이러한 결과들은 제안하는 시스템을 시각 장애우들이 실용적으로 활용할 수 있다는 가능성을 보여준다.

• Life and Agrochemicals
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• s.254
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• pp.38-40
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• 2010

식품의약품안전청은 '07-08년까지 전국 시장 등에서 유통되는 과일류 4,776건의 농약잔류량을 분석한 결과 9.81%인 4,767건에서 농약이 검출되지 않았거나 세척하지 않고 섭취해도 될 만큼 극미량만이 검출되었다고 밝혀 큰 반향을 일으켰다.

• Life and Agrochemicals
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• s.251
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• pp.24-25
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• 2009

최근 작물보호제에 대한 소비자교육과 연구시설 및 제품 생산현장을 둘러보고는 개발과정 및 안전성에 대한 과학적인 데이터를 통해 농산물 중 잔류농장에 대한 막연한 우려를 덜게 되었고 작물보호제에 대한 인식을 다소 새롭게 하게 되었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.104-104
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• 2022

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.59-63
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• 2020

This study was conducted to investigate the relation between visual analogue scale and recovery time with type of injury that occur in elite wrestling athletes. The incidence rate of injury was analyzed the Poisson ratio, and the VAS and recovery time according to the type of injury were compared using the one-way ANOVA. In addition, the VAS and recovery time were examine the relationship using the Simple Linear Regression, and statistical significance level was α =.05. Injuries occurred most commonly in the ligament, followed by the muscle, cartilage and tendon.The VAS and recovery time according to the type of injury was statistically significant (p=.001, p=.001, respectively). The VAS and recovery time according to the type of injury was statistically significant (p=.001, p=.001). Also, increase in VAS of 1 point was associated with about 1.89 recovery time. These studies are expected to be useful as basic data for return to sports and safe training.

• Journal of the HCI Society of Korea
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• v.8 no.2
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• pp.1-8
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• 2013

In previous study, we developed a guidance system outdoors for person with visual impairment to be able to walk safely to the destination. The volunteers are exposed to dangerous situations since they are performed to the experiments in the outdoors. In order to solve the problem, we propose an interactive application that monitors the volunteer wearing guidance system and warns remotely the volunteer about dangerous situations. The application is used to remote wireless communication with guidance system through Bluetooth module that is built in a laptop computer, without additional device. Therefore, we can monitor in real time user's location and guided contents to user, and it is possible to check a path to the destination and POI (Point of Interest) coordinate values. As using a proposed monitoring application, it is possible to perform safe experiment with the rapid situation awareness and fast detection of dangerous.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.117-122
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• 2023

This paper introduces the improved and expanded contents of the previous research that implemented a system that guides the visually impaired using the vibration of a smart watch. In the previous study, we proposed an algorithm that recommends the most safe route based on calculating negative and positive values for the topography of the route and the features installed on the route. In addition, by designing several vibration patterns, a system that guides the user through vibration was proposed and implemented. In this paper, the user's personal preferences are reflected in the algorithm that recommends the safe route first. In addition, an automatic feedback function was added to the algorithm so that the user's satisfaction evaluation on the recommended route was immediately reflected. A history simulation function was added so that the past route could be reviewed, and the compass of a smart watch was used to help visually impaired people find directions at junctions.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.17 no.1
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• pp.67-75
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• 2024

Crosswalks play an important role for the safe movement of pedestrians in a complex urban environment. However, for the visually impaired, crosswalks can be a big risk factor. Although assistive tools such as braille blocks and acoustic traffic lights exist for safe walking, poor management can sometimes act as a hindrance to safety. This paper proposes a method to improve accuracy in a deep learning-based real-time crosswalk detection model that can be used in applications for pedestrian assistance for the disabled at the beginning. The image was binarized by utilizing the characteristic that the white line of the crosswalk image contrasts with the road surface, and through this, the crosswalk could be better recognized and the location of the crosswalk could be more accurately identified by using two models that learned the whole and the middle part of the crosswalk, respectively. In addition, it was intended to increase accuracy by creating a boundary box that recognizes crosswalks in two stages: whole and part. Through this method, additional frames that the detection model did not detect in RGB image learning from the crosswalk image could be detected.