Clustering based Transfer Detection with Fuzzy Activity Recognition from Smart-phone GPS Trajectories

Das, R. D., Ronald, N., Winter, S. (2014), Clustering based Transfer Detection with Fuzzy Activity Recognition from Smart-phone GPS Trajectories, 17th International IEEE Conference on Intelligent Transportation Systems. IEEE, Qingdao, China.

This paper introduces an adaptive clustering-based transfer detection framework. Existing transfer detection algorithms are based on a walking-based approach. But in a walking-based approach it is difficult to set a deterministic walking threshold. However during transfer people generally move slowly or wait for a while and thus the spatio-temporal points are located close to each other and tend to form clusters. To mitigate such problems an adaptive density-based fuzzy approach is proposed for detecting transfers and activities performed during transfers.

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