Segmenting human trajectory data by movement states while addressing signal loss and signal noise

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	International Journal of Geographical Information Science
DOIs	https://doi.org/10.1080/13658816.2018.1423685
State	Published - 2018

Keywords

@article{b774359d1a97463395311a95c2ae78dd,

title = "Segmenting human trajectory data by movement states while addressing signal loss and signal noise",

keywords = "Uncertain trajectories, stop detection, GPS, path interpolation, fuzzy inference",

author = "Sungsoon Hwang and Cynthia VanDeMark and Navdeep Dhatt and Sai Yalla and Ryan Crews",

year = "2018",

doi = "10.1080/13658816.2018.1423685",

language = "American English",

journal = "International Journal of Geographical Information Science",

}

TY - JOUR

T1 - Segmenting human trajectory data by movement states while addressing signal loss and signal noise

AU - Hwang, Sungsoon

AU - VanDeMark, Cynthia

AU - Dhatt, Navdeep

AU - Yalla, Sai

AU - Crews, Ryan

PY - 2018

Y1 - 2018

KW - Uncertain trajectories

KW - stop detection

KW - GPS

KW - path interpolation

KW - fuzzy inference

U2 - 10.1080/13658816.2018.1423685

DO - 10.1080/13658816.2018.1423685

M3 - Article

JO - International Journal of Geographical Information Science

JF - International Journal of Geographical Information Science

ER -