A Particle Filter Based Classification of Human Mobile State


KIPS Transactions on Computer and Communication Systems, Vol. 4, No. 4, pp. 125-134, Apr. 2015
10.3745/KTCCS.2015.4.4.125,   PDF Download:

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.


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Cite this article
[IEEE Style]
H. Y. Song and J. H. Baik, "A Particle Filter Based Classification of Human Mobile State," KIPS Transactions on Computer and Communication Systems, vol. 4, no. 4, pp. 125-134, 2015. DOI: 10.3745/KTCCS.2015.4.4.125.

[ACM Style]
Ha Yoon Song and Ji Hyun Baik. 2015. A Particle Filter Based Classification of Human Mobile State. KIPS Transactions on Computer and Communication Systems, 4, 4, (2015), 125-134. DOI: 10.3745/KTCCS.2015.4.4.125.