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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국인터넷방송통신학회 International journal of advanced smart convergence International journal of advanced smart convergence 제6권 제3호
- 발행연도
- 2017.1
- 수록면
- 29 - 37 (9page)
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초록· 키워드
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The current behavior recognition system don't match data formats between sensor data measured by user's sensor module or device. Therefore, it is necessary to support data processing, sharing and collaboration services between users and behavior recognition system in order to process sensor data of a large capacity, which is another formats. It is also necessary for real time interaction with users and behavior recognition system. To solve this problem, we propose fog cloud based behavior recognition system for human body sensor data processing. Fog cloud based behavior recognition system solve data standard formats in DbaaS (Database as a System) cloud by servicing fog cloud to solve heterogeneity of sensor data measured in user's sensor module or device. In addition, by placing fog cloud between users and cloud, proximity between users and servers is increased, allowing for real time interaction. Based on this, we propose behavior recognition system for user's behavior recognition and service to observers in collaborative environment. Based on the proposed system, it solves the problem of servers overload due to large sensor data and the inability of real time interaction due to non-proximity between users and servers. This shows the process of delivering behavior recognition services that are consistent and capable of real time interaction.
목차
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참고문헌 (15)
참고문헌 신청
J. Yang / 2009 / Toward Physical Activity Diary: Motion Recognition Using Simple Acceleration Features with Mobile Phones / Proc. of Int. Workshop on Interactive Multimedia for Consumer Electronics
T. Scott / 2008 / iLearn on the iPhone : Real-Time Human Activity Classification on Commodity Mobile Phones
Lotfi, Ahmad / 2012 / Smart homes for the elderly dementia sufferers: identification and prediction of abnormal behaviour / Journal of Ambient Intelligence and Humanized Computing 3(3):205~218
Lara, Oscar D / 2013 / A survey on human activity recognition using wearable sensors / Communications Surveys & Tutorials 15(3):1192~1209
H. K. Yang / 2012 / Physical Activity Recognition using Accelerometer of Smartphone / Proceeding of Korea Computer Congress 39(2(D)):7~9
T. Scott / 2008 / iLearn on the iPhone : Real-Time Human Activity Classification on Commodity Mobile Phones
Lotfi, Ahmad / 2012 / Smart homes for the elderly dementia sufferers: identification and prediction of abnormal behaviour / Journal of Ambient Intelligence and Humanized Computing 3(3):205~218
Lara, Oscar D / 2013 / A survey on human activity recognition using wearable sensors / Communications Surveys & Tutorials 15(3):1192~1209
H. K. Yang / 2012 / Physical Activity Recognition using Accelerometer of Smartphone / Proceeding of Korea Computer Congress 39(2(D)):7~9
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