• Title/Summary/Keyword: smart vest

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Development of Wireless ECG Clothing for Dogs with Improved Signal Detection (신호 감지성이 향상된 반려견용 무선 심전도 측정 의복 개발)

  • Kim, Soyoung;Lee, Okkyung;Kwon, Eunsun;Lee, Yejin;Min, Seungnam;Lee, Heeran
    • Journal of the Korean Society of Clothing and Textiles
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    • v.46 no.5
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    • pp.760-771
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    • 2022
  • This study sought to develop clothing for a companion animal that can provide stable ECG measurements. A pattern for the smart clothing of a companion dog was manufactured using the replica method to select a location and method that best suited the stable measurement of ECG and improved the clothing's fitness. The smart clothing was developed as the following three types: strap type, top type, and combined top and vest type with a detachable wireless ECG monitor. The detection abilities of these were observed using the PQRST rate taken after ECG measurements while the three companion dogs were tested while resting and moving. The results revealed that apart from using an electrode, applying a gel pad is the most effective way to achieve stable ECG measurements, and the central chest region is more reliable than the left armpit for providing steady readings. The combined top and vest type showed the highest average ECG PQRST detection number, meaning that the ECG signal measurement was steady. These results may contribute to the measurement of ECG in smartwear for U-Healthcare to measure other biometric data of a companion dog.

A Proposal for Workers to Mandatorily Wear High-visibility Safety Clothing in Korea through the Analysis of the Current Status and Evaluation of Its Visibility (국내 고시인성 안전의복의 착용 현황 분석 및 시인성 평가를 통한 착용 의무화 제안)

  • Kang, Inhyeng;Choe, Byongho;Oh, Cheol;Youk, Ji Ho
    • Fashion & Textile Research Journal
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    • v.24 no.4
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    • pp.471-478
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    • 2022
  • In roadside workplaces, more attention should be paid to the safety of workers. The roadside workers underestimate the effect of the brightness of their clothes and judge that drivers will recognize them easily, and the drivers misjudge that the roadside workers are far away and that the vehicle can be stopped in sufficient time. Therefore, customized safety education reflecting this and wearing work clothes with certified visibility functions are required. In Korea, it is not compulsory for roadside workers and vehicle guide attendants to wear work clothes with a visibility function. In this study, the distance ahead perceived by drivers was measured using manikins wearing certified and non-certified reflective safety vests. The perception distance of the non-certified reflective safety vest was 1.4 times longer than that of the certified reflective safety vest, thus confirming the importance of wearing a certified reflective safety vest. To prevent roadside workers from suffering traffic accidents, we propose the enactment of a law that makes it mandatory for them to wear high-visibility safety clothing. Specifically, Article 32 of the Enforcement Regulation of the Road Traffic Act should include high-visibility safety clothing in life protection equipment, and additionally, to prevent secondary accidents, we propose the enactment of a law requiring the installation and wearing of certified reflective safety vests in vehicles.

Smart IoT vest to prevent stampede accident (압사 예방을 위한 스마트 IoT 조끼 시스템)

  • Yeong-Su Lee;Tae-Hoon Lee;Dong-Hyun Kim;Kyung-June Lee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.786-787
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    • 2023
  • 대규모 행사에서 압사 예방을 위해 스마트 IoT 조끼 시스템을 개발했다. 일반 사용자들이 해당 조끼를 착용해 긴급 상황 발생 즉시 행사 관리자에게 정보를 전송하고 동시에 Linear Actuator를 활용해 개발한 에어백 기능으로 인명피해 사고를 보다 예방할 수 있다.

Real-time Worker Safety Management System Using Deep Learning-based Video Analysis Algorithm (딥러닝 기반 영상 분석 알고리즘을 이용한 실시간 작업자 안전관리 시스템 개발)

  • Jeon, So Yeon;Park, Jong Hwa;Youn, Sang Byung;Kim, Young Soo;Lee, Yong Sung;Jeon, Ji Hye
    • Smart Media Journal
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    • v.9 no.3
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    • pp.25-30
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    • 2020
  • The purpose of this paper is to implement a deep learning-based real-time video analysis algorithm that monitors safety of workers in industrial facilities. The worker's clothes were divided into six classes according to whether workers are wearing a helmet, safety vest, and safety belt, and a total of 5,307 images were used as learning data. The experiment was performed by comparing the mAP when weight was applied according to the number of learning iterations for 645 images, using YOLO v4. It was confirmed that the mAP was the highest with 60.13% when the number of learning iterations was 6,000, and the AP with the most test sets was the highest. In the future, we plan to improve accuracy and speed by optimizing datasets and object detection model.

Designing and Fabricating of the High-visibility Smart Safety Clothing (고시인성 스마트 안전의류의 설계 및 제작)

  • Park, Soon-Ja;Kim, Sun-Woong
    • Science of Emotion and Sensibility
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    • v.23 no.4
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    • pp.105-116
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    • 2020
  • The purpose of this study is to progress the limitations and disadvantages of existing safety clothing by applying high technology to current safety clothing that is produced and distributed only with fluorescent fabrics and retroreflective materials. Therefore, the industrial suspender-type safety belt and engineering technology are introduced, designed, and fabricated to help save a life in an emergency. First, the suspender-type safety belt to be developed is designed to emit light by LED attached to the film, and the body of the belt-wearer is recognized from a distance through retroreflection from the flashing LED. It aims to support people's safety by preventing accidents during roadside work, rescue activities, and sports activities at night. Second, with the development of advanced devices when the user is in an unconscious state due to distress or falls into an unconscious state due to distress or accident, the tilt sensor of the control unit attached to the belt automatically detects the angle of the human body and generates light and sound. It is intended to further enhance the utilization by mounting a sensing and signaling device that generates a distress signal and shaping it in the form of a belt attached to a vest that can be easily detached from the outside of the garment. When the wearer falls due to an accident, the tilt sensor of this belt detects the angle change and then the controller generates a high-frequency sound and repeated LED blinking signals at the same time. In the case of conventional safety vests, it is almost impossible to detect that the person is wearing a vest when there is no ambient light, but in case of the safety belts in this study, the sound and light signals of the safety belt enable us to find the wearer within 100 meters even when there is no ambient light.

The Impact of CPO Characteristics on Organizational Privacy Performance (개인정보보호책임자의 특성이 개인정보보호 성과에 미치는 영향)

  • Wee, Jiyoung;Jang, Jaeyoung;Kim, Beomsoo
    • Asia pacific journal of information systems
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    • v.24 no.1
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    • pp.93-112
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    • 2014
  • As personal data breach reared up as a problem domestically and globally, organizations appointing chief privacy officers (CPOs) are increasing. Related Korean laws, 'Personal Data Protection Act' and 'the Act on Promotion of Information and Communication Network Utilization and Information Protection, etc.' require personal data processing organizations to appoint CPOs. Research on the characteristics and role of CPO is called for because of the importance of CPO being emphasized. There are many researches on top management's role and their impact on organizational performance using the Upper Echelon theory. This study investigates what influence the characteristics of CPO gives on the organizational privacy performance. CPO's definition varies depending on industry, organization size, required responsibility and power. This study defines CPO as 'a person who takes responsibility for all the duties on handling the organization's privacy,' This research assumes that CPO characteristics such as role, personality and background knowledge have an influence on the organizational privacy performance. This study applies the part relevant to the upper echelon's characteristics and performance of the executives (CEOs, CIOs etc.) for CPO. First, following Mintzberg and other managerial role classification, information, strategic, and diplomacy roles are defined as the role of CPO. Second, the "Big Five" taxonomy on individual's personality was suggested in 1990. Among these five personalities, extraversion and conscientiousness are drawn as the personality characteristics of CPO. Third, advance study suggests complex knowledge of technology, law and business is necessary for CPO. Technical, legal, and business background knowledge are drawn as the background knowledge of CPO. To test this model empirically, 120 samples of data collected from CPOs of domestic organizations are used. Factor analysis is carried out and convergent validity and discriminant validity were verified using SPSS and Smart PLS, and the causal relationships between the CPO's role, personality, background knowledge and the organizational privacy performance are analyzed as well. The result of the analysis shows that CPO's diplomacy role and strategic role have significant impacts on organizational privacy performance. This reveals that CPO's active communication with other organizations is needed. Differentiated privacy policy or strategy of organizations is also important. Legal background knowledge and technical background knowledge were also found to be significant determinants to organizational privacy performance. In addition, CPOs conscientiousness has a positive impact on organizational privacy performance. The practical implication of this study is as follows: First, the research can be a yardstick for judgment when companies select CPOs and vest authority in them. Second, not only companies but also CPOs can judge what ability they should concentrate on for development of their career relevant to their job through results of this research. Cultural social value, citizen's consensus on the right to privacy, expected CPO's role will change in process of time. In future study, long-term time-series analysis based research can reveal these changes and can also offer practical implications for government and private organization's policy making on information privacy.