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논문 기본 정보

자료유형
학술저널
저자정보
Kwon, TaeWoo (Department of Information System, KwangWoon University Graduate School of Smart Convergence) Lee, Daepyo (Department of Information System, KwangWoon University Graduate School of Smart Convergence) Lee, Jong-Yong (Ingenium College of liberal arts, KwangWoon University) Jung, Kye-Dong (Ingenium College of liberal arts, KwangWoon University)
저널정보
한국인터넷방송통신학회 International journal of internet, broadcasting and communication : IJIBC International journal of internet, broadcasting and communication : IJIBC 제10권 제3호
발행연도
2018.1
수록면
42 - 50 (9page)

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The majority of existing falling recognition techniques provide service by recognizing only that the falling occurred. However, it is important to recognize not only the occurrence of falling but also the situation before and after the falling, as well as the location of the falling. In this paper, we design and propose the falling notification service system to recognize and provide service. This system uses the acceleration sensor of the smartphone to recognize the occurrence of a falling and the situation before and after the falling. In order to check the location of falling, GPS sensor data is used in the Google Map API to map to the map. Also, a crosswalk map converted into grid-based coordinates based on the longitude and latitude of the crosswalk is stored, and the locations before and after falling are mapped. In order to reduce the connection speed and server overload for real-time data processing, fog computing and cloud computing are designed to be distributed processing.

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