유비쿼터스 및 모바일 컴퓨팅 : 파티클 필터에 기반한 인간 이동 상태 분류 = Ubiquitous & Mobile Computing : A Particle Filter Based Classification of Human Mobile State

다국어 초록 (Multilingual Abstract)

In this paper, we present an algorithm based on particle filter to determine the state of human movement. We calculate speed from consecutive positioning data with time, latitude and longitude. The speed values are averaged with previous speed values and thus act as basis for particle filter. We use the fact that human speed distribution follows exponential distribution approximately. An algorithm based on particle filter has been developed and utilized. Human movement state are probabilistically described in this research, and the probability is to determine whether a person is in moving state or in stable state. The experimental results are provided in various ways.

참고문헌 (Reference)

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4 "Sports-Tracker"

5 S Thrun, "Particle Filters in Robotics" 511-518, 2002

6 "Keyhole Markup Langauge"

7 "Garmin"

8 Song, Ha Yoon, "Finding Probability Distributions of Human Speeds" 51-55, 2014

9 Ji Hyun Baik, "Determining Human Movement with Particle Filter" 21 (21): 372-375, 2014

10 Chen, Zhe, "Bayesian filtering: From Kalman filters to particle filters. and beyond" McMaster University 2003