PerfLoc (Part 1): An extensive data repository for development of smartphone indoor localization apps

This paper describes a major effort to collect smartphone data useful for indoor localization. Data has been collected with four Android phones according to numerous scenarios in each of four large buildings. The data includes time-stamped traces of various environmental, position, and motion sensors available on a smartphone, Wi-Fi and cellular signal strengths, and GPS fixes, whenever available. Quantitative evidence is presented to validate the collected data and attest to its quality. This unique, extensive data repository is made available to the R&D community through the PerfLoc web portal to facilitate development of smartphone indoor localization apps and to enable performance evaluation of such apps according to the ISO/IEC 18305 international standard in the near future.