A Particle Filter Based Classification of Human Mobile State
파티클 필터에 기반한 인간 이동 상태 분류

Ha Yoon Song, Ji Hyun Baik
2015 KIPS Transactions on Computer and Communication Systems  
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
more » ... 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.
doi:10.3745/ktccs.2015.4.4.125 fatcat:xejrz3wiifhjloeb6dkthggc3i