한국컴퓨터정보학회논문지 (Journal of the Korea Society of Computer and Information)

  • 제16권3호
  • /
  • Pages.167-174
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  • 2011
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  • 1598-849X(pISSN)
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  • 2383-9945(eISSN)
한국컴퓨터정보학회 (Korean Society of Computer Information)
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스마트폰 기반의 사용자 이동상태 판별 알고리즘

Smart-Phone based User Movement State Identification Algorithm

  • 투고 : 2010.11.02
  • 심사 : 2010.12.03
  • 발행 : 2011.03.31
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초록

본 논문에서는 스마트폰 기반의 사용자 이동 상태 판별 알고리즘에 대해 제안한다. 제안된 알고리즘은 스마트 폰의 자체 내장된 방향 센서와 GPS센서의 데이터 정보를 기반으로 하여 현재 사용자의 이동 수단 및 위치를 판단한다. GPS 센서를 이용해 위치와 이동속도를 계산하여 이동수단을 판별하고, 방향 센서의 데이터를 분석하여 세부적인 이동형태를 판별한다. 본 논문에서는 스마트폰의 두 가지 응용 센서를 이용하여 사용자 이동상태 판별 알고리즘을 구현하고 테스트를 수행하였다. 실험 내용은 GPS를 통해 받은 데이터를 이용하여 이동속도를 계산하고 방향 센서의 변화 폭을 측정 이동형태를 판별할 수 있는 속도와 방향센서의 임계 값를 실험 데이터를 바탕으로 정의하였다. 실험결과 본 논문에서 제안하는 사용자 이동상태 판별 알고리즘을 이용하여 사용자의 이동 상태를 판별 할 수 있었다.

This paper proposed a smart-phone based user movement state identification algorithm. Then movement state of the user is identified by calculating the location and moving speed using the GPS sensor, and detailed movement methods are identified by analyzing the data from the Orientation sensor. In this study, two sensors of the smart-phone were used to implement the user movement status identification algorithm and to perform tests. The reference values of the speed and orientation required for the identification of the movement type were defined based on the experimental data. The results of this study showed that the movement type of a smart-phone user can be identified using the user movement state identification algorithm.

키워드

참고문헌

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  1. Accuracy Improvement Methode of Step Count Detection Using Variable Amplitude Threshold vol.2, pp.6, 2013, https://doi.org/10.3745/KTCCS.2013.2.6.257
  2. Application of Smartphone Camera Calibration for Close-Range Digital Photogrammetry vol.30, pp.1, 2014, https://doi.org/10.7780/kjrs.2014.30.1.12
  3. 스마트 디바이스 사용 여부에 따른 사용자의 이동 상황 판별 기법 vol.18, pp.6, 2013, https://doi.org/10.9723/jksiis.2013.18.6.051