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스마트 밴드를 이용한 실감형 AR 헬스 케어 콘텐츠 제작 연구
나정원 ( Jeong-won Na ),이나영 ( Na-young Lee ),김재림 ( Jae-rim Kim ),윤다영 ( Da-young Yun ),김정민 ( Jung-min Kim ) 한국정보처리학회 2020 한국정보처리학회 학술대회논문집 Vol.27 No.2
코로나 19 팬데믹 상황으로 언택트 콘텐츠에 대한 수요가 증가하고 있다. 그러나 실외 스포츠를 실내에서 즐기기에는 한계가 존재한다. 본 연구에서는 증강현실과 스마트 밴드를 이용하여 실감형 로잉머신 AR 헬스 케어 콘텐츠를 개발하였다. 스마트 밴드를 이용하여 사용자의 운동 데이터를 전달하고, 이 데이터를 바탕으로 증강현실을 이용하여 실내에서도 실감형 콘텐츠를 즐길 수 있게 설계하였다. 이러한 결과는 스마트 밴드를 이용한 AR 헬스 케어 시장의 가능성을 제시한다.
나정연(JeongYeon Na),권민지(Minji Kwon),김두영(DooYoung Kim),박영화(YoungHwa Park),서정은(JungEun Seo),신민철(MinCheol Shin),김희지(HeeJi Kim),김화일(HwaIl Kim),류향우(Hyangwoo Ryu),조만수(ManSu Cho) 한국환경보건학회 2017 한국환경보건학회지 Vol.43 No.5
Objectives: The rate at which the nationwide highway is outsourcing the duties of toll gate cashiers to the public is increasing. The aim of this study is to conduct research on job stress for the rate at which the fares are collected by national highway toll gate cashiers. Methods: The population selected was a statistically significant group making up 10% of the total number of people surveyed in 2015, with a population of approximately 5,495 persons. The sample size is intended to cover the maximum sample size of 550 samples and the maximum number of samples that should be obtained. After allocating the number of samples by quota allocation, the qualitative function of Quality Function Deployment (QFD) was applied by random sampling. Results: Job stress ranked at 46.6 ± 11.5 points was found to be under the stress of 50% reported in other occupations. Job stress items showed higher for “job instability” compared to other types of tasks. Also, it appeared lower in “conflict in relationships.” This is a result of the work characteristics of highway service operators. Conclusions: Time was found to have the highest influence on the workload (β = 0.80, p. 0.001), which calls for a reduction in time and workload. est influence on the workload (β = 0.80, p. 0.001), which requires a reduction in time and workload.
김미서(Mi-Seo Kim),유문희(Moon-Hee Yoo),장지현(Ji-Hyeon Jang),최정윤(Jeong-Yun Choi),나고은(Go-Eun Na),김미숙(Mi-Suk Kim),나정조(Jung-Jo Na) 한국디지털콘텐츠학회 2022 한국디지털콘텐츠학회논문지 Vol.23 No.11
Sign language is the main communication method for people with hearing impairments. However, the educational system and learning content for sign language acquisition have been characterized by a lack of accessibility and low quality in Korea. In 2022, 15 educational platforms regarding sign language acquisition exist. The formats mainly consist of watching videos and following pre-recorded hand movements, but real-time feedback is not provided about learned content. Thus, this study proposes a platform to teach sign language that provides real-time feedback on the proper hand movements of sign language. Based on CNN and LSTM, this model of distinguishing sign language movements uses a data-tracking system that tracks learners arms, hands, and fingers using OpenPose and MediaPipe. Through deep learning, the platform can help learners identify accurate hand movements and learn sign language interactively.