• Title/Summary/Keyword: 웨어러블 컴퓨터

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American Sign Language Recognition System Using Wearable Sensors with Deep Learning Approach (딥러닝 방식의 웨어러블 센서를 사용한 미국식 수화 인식 시스템)

  • Chong, Teak-Wei;Kim, Beom-Joon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.2
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    • pp.291-298
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    • 2020
  • Sign language was designed for the deaf and dumb people to allow them to communicate with others and connect to the society. However, sign language is uncommon to the rest of the society. The unresolved communication barrier had eventually isolated deaf and dumb people from the society. Hence, this study focused on design and implementation of a wearable sign language interpreter. 6 inertial measurement unit (IMU) were placed on back of hand palm and each fingertips to capture hand and finger movements and orientations. Total of 28 proposed word-based American Sign Language were collected during the experiment, while 156 features were extracted from the collected data for classification. With the used of the long short-term memory (LSTM) algorithm, this system achieved up to 99.89% of accuracy. The high accuracy system performance indicated that this proposed system has a great potential to serve the deaf and dumb communities and resolve the communication gap.

System of Exercise Rehabilitation Underwear for Chronic Obstructive Pulmonary Disease Patient (COPD 환자를 위한 운동재활 언더웨어 시스템)

  • Ahn, Hyeongi;Jang, Jiyoung;Choi, Hyunhee;Park, Byungjoo
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.07a
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    • pp.297-298
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    • 2021
  • 본 논문은 만성폐쇄성 폐 질환이 흡연, 대기오염으로 많은 질환자가 발생하여 재활운동을 필요로 하는 추세이다. 현재 측정 도구와 재활운동 도구가 분리되어 질환 진단은 한정된 시설을 이용해야만 하고 재활운동 또한 상시 진행할 수 없어 질환을 확인하기 어려운 실정이다. 이에 평상시 착용하는 이너형태에 재활운동 의류를 개발하여 올바른 호흡을 돕는 근육군이 동원하여 복식호흡을 유도하고 흉식호흡 시 웨어러블기기를 통해 인지하게 돕는다. 이 결과 일상 속 지속 가능한 재활운동을 바탕으로 가슴 벽의 호흡근육 활동을 감소시키고 복부 근육군을 개선하는 것으로 폐 기능을 증진시킬수 있는 언더웨어 개발을 제안하고자 한다.

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Industrialization of Augmented Reality Contents : Focusing on the 21st Century's Films and Augmented Reality Arts (증강현실 콘텐츠의 산업화 : 21세기 영화와 증강현실 예술을 중심으로)

  • Kim, Hee-Young
    • Cartoon and Animation Studies
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    • s.35
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    • pp.347-374
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    • 2014
  • The aim of this article is to consider the future of industrialization of Augmented Reality contents focusing on cinematic imagination of films that used Augmented Reality techniques and artistic imagination of Augmented Reality Arts in the 21st century. The film showing future technology through cinematic imagination plays an role in the presentation of future vision important. Augmented Reality Arts show the big picture of future arts, future aspect of society, and future culture by using technically possible present technology. I classified the researched films according to Augmented Reality technique. It is expected that Gesture Recognition will develop with transparent display device techniques, Hologram techniques will be changed into individualized communication styles, Biometrics will be able to evolve into multi-Biometrics, and Wearable Computer will develop in the aspect of physical body augmentation and then industrialize. In Augmented Reality Arts, it seems that the various utilization of avatar will be related to Hologram, the utilization of the physiological phenomenon of the human body will be related to Biometrics, the mixture of reality and virtual reality will utilize display devices through Gesture Recognition, and a new experiment of HMD(Head-Mounted Display) will industrialize with the diversification of Wearable Computer. Augmented Reality contents created through the imagination and representation in the films and arts take a role in helping human life, and, at the same time, show the future image industrialized in the way of combination between human and environment without a medium.

A Study on the Acceptance of Wearable Computers based on the Extended Technology Acceptance Model (확장된 혁신기술수용모델을 이용한 웨어러블 컴퓨터의 수용에 관한 연구)

  • Lee, Hyun-Mee
    • The Research Journal of the Costume Culture
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    • v.17 no.6
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    • pp.1155-1172
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    • 2009
  • Wearable computers can be defined as next generation clothing integrated with various digital functions and devices. Unlike existing computers, they are viewed as human-centric computers customized for information utilization and other specific human needs. This study is intended to discover how consumers are accepting wearable computers, which are different from existing computers, based on Technology Acceptance Model(TAM) and to extend the model by adding variable regarding acceptance of wearable computers. A total of 683 copies of questionnaires, distributed to those aged 19 and older, both male and female, were collected online. The data was statistically analyzed for this study using the extended TAM. In order to test hypotheses, the structural equation model using the Lisrel 8.30 version was performed. For analyzing constructs(or traits) of research model, exploratory factor was conducted and the measurement model was assessed from the result. Reliability was assessed through confirmatory factor analysis and the calculation of Cronbach's alpha coefficients. Overall, model fit was assessed by statistical indexes: Chi-square value, GFI, AGFI, and RMR. This study analyzed the process of acceptance of wearable computers with the extended TAM that includes a variable, perceived value, on the basis of previous studies. The results of the analysis revealed that attitude toward wearable computer was directly influenced by perceived usefulness and perceived value but indirectly influenced by perceived ease of use. Acceptance intention of the wearable computer was directly influenced by perceived value and attitude toward wearable computer. To be more specific, perceived usefulness was significantly correlated with both attitude toward wearable computer and acceptance intention of the wearable computer. Perceived value was also significantly correlated with both attitude toward wearable computer and acceptance intention of the wearable computer. The results of this study also suggested that perceived ease of use was actually a causal antecedent to perceived usefulness and perceived value. This research revealed that extended TAM to investigate the acceptance of wearable computer was appropriate. This study is intended to provide a theoretical framework for adoption of wearable computer and suggest empirical analysis that can serve as a guide for wearable computer.

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Security Requirement Analysis for WBAN environment (WBAN 환경의 보안 요구사항 분석)

  • Jang, Chol-Soon;Han, Jong-Wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2008.05a
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    • pp.260-263
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    • 2008
  • 최근 들어 헬쓰케어 서비스나 웨어러블 컴퓨터 등에 대한 연구가 진행됨에 따라 몸에 장착된 디바이스들을 무선으로 연결하기 위한 WBAN기술이 주목을 받고 있다. 향후 네트워크 환경은 개인의 다양한 생체정보 등을 기반으로 최적의 맞춤형 서비스를 제공하는 IT-BT-NT 융합서비스 환경으로 진화할 것이므로 WBAN기술의 활용성은 더욱 높아질 것이다. 따라서 본 논문에서는 안전한 WBAN환경 구축을 위해서 발생이 예상되는 보안 이슈를 분석하고 이를 해결하기 위한 보안 요구사항을 제안하였다.

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Machine Learning based Fall Detection (기계학습 기반의 낙상 검출)

  • Kim, InKyung;Kim, DaeHee;Heo, Seongsil;Lee, JaeKoo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.05a
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    • pp.547-550
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    • 2020
  • 노인인구의 급증에 따라 노인 건강에 대한 관심이 증가하였고 노인 낙상을 발견하는 방법에 대한 관심도 함께 대두되기 시작하였다. 낙상 사고의 경우 낙상을 일으킨 원인보다 낙상이 제때 감지되지 않아 발생하는 이후의 상황이 더욱 심각한 결과를 초래한다. 따라서 낙상이 발생했을 때, 바로 낙상을 감지할 수 있는 시스템 구축이 필요하다. 다양한 낙상 검출을 위한 방법이 존재하지만 그 중 착용이 쉽고 원격지에서 관찰 및 관리가 가능한 웨어러블(Wearable) 기기의 센서 데이터를 사용한 낙상 검출을 진행하였다. 본 논문에서는 머신 러닝 모델들을 사용해서 낙상 검출 성능 비교 및 적절한 모델을 제안한다. 기계 학습 기반의 모델인 결정 트리(Decision Tree), 랜덤 포래스트(Random Forest), SVM(Support Vector Machine)을 사용하여 실제 측정된 데이터에 낙상 검출 학습 능력을 정량화하였다. 또한, 모델의 입력 값에 적용한 데이터 분할, 전처리 및 특징 추출 방법을 통해서 효율적인 낙상 검출을 위한 기계학습 관점에서의 타당성을 판단하고자 한다.

Driver's Status Recognition Using Multiple Wearable Sensors (다중 웨어러블 센서를 활용한 운전자 상태 인식)

  • Shin, Euiseob;Kim, Myong-Guk;Lee, Changook;Kang, Hang-Bong
    • KIPS Transactions on Computer and Communication Systems
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    • v.6 no.6
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    • pp.271-280
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    • 2017
  • In this paper, we propose a new safety system composed of wearable devices, driver's seat belt, and integrating controllers. The wearable device and driver's seat belt capture driver's biological information, while the integrating controller analyzes captured signal to alarm the driver or directly control the car appropriately according to the status of the driver. Previous studies regarding driver's safety from driver's seat, steering wheel, or facial camera to capture driver's physiological signal and facial information had difficulties in gathering accurate and continuous signals because the sensors required the upright posture of the driver. Utilizing wearable sensors, however, our proposed system can obtain continuous and highly accurate signals compared to the previous researches. Our advanced wearable apparatus features a sensor that measures the heart rate, skin conductivity, and skin temperature and applies filters to eliminate the noise generated by the automobile. Moreover, the acceleration sensor and the gyro sensor in our wearable device enable the reduction of the measurement errors. Based on the collected bio-signals, the criteria for identifying the driver's condition were presented. The accredited certification body has verified that the devices has the accuracy of the level of medical care. The laboratory test and the real automobile test demonstrate that our proposed system is good for the measurement of the driver's condition.

Design of PC based Code Simulator for UBINOS Embedded Software (UBINOS 임베디드 소프트웨어를 위한 PC 기반 코드 시뮬레이터의 설계)

  • Kim, Jihun;Lee, Woo Jin
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.970-972
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    • 2013
  • 최근 웨어러블 단말기와 같은 소형 임베디드 시스템이 많아짐에 따라 임베디드 소프트웨어의 수요가 점점 늘어나고 있다. 그러나 임베디드 소프트웨어는 개발이 완료되어 있음에도 실제 하드웨어 없이는 소프트웨어의 검증이 어려운 단점을 가지고 있다. 이는 임베디드 시스템의 제품을 개발하는 과정에서 일정이 늦춰지고 시스템의 신뢰성을 떨어뜨리는 원인이 될 수 있다. 본 논문에서는 이러한 문제점을 해결하고자 메모리 관리가 용이하고 소형 임베디드 기기에서 저전력으로 사용할 수 있게 만들어진 실시간 운영체제인 UBINOS를 PC에 포팅하여 UBINOS 기반의 임베디드 소프트웨어를 PC 상에서 수행할 수 있는 코드 시뮬레이터를 제안한다.