Floor Localization based on Mobile Phone Sensing
In this paper, we present FTrack, a novel floor localization system leveraging on smartphone’s accelerometer only, and it does not require any prior knowledge of a building such as floor height. Through crowdsourcing, FTrack finds the mapping from the traveling time (when taking the elevator) or the step counts (when walking on the stairs) between any two floors to the number of floor levels. The mapping can then be used for mobile users to pinpoint their current floor levels.
This work has been reported in PerCom 2012.
Tao Gu
Professor
IEEE Fellow
AAIA Fellow
ACM Distinguished Member
Email: firstname dot lastname AT mq.edu.au
Phone: +61-2-9850-4357
Address: Room 267, 4 Research Park Drive, North Ryde, NSW 2109, Australia
My research interests include Internet of Things, Ubiquitous Computing, Mobile Computing, Embedded AI, Wireless Sensor Networks, and Big Data Analytics.