In the cloud age, it is quite easy to collect sensory data from smartphones. With
these sensory data, it is desired to provide various kinds of applications to serve the user. In
this research, we aim at developing an indoor navigation system on smartphone using solely
smartphone sensory data. There are many researches on indoor localization and navigation
in the literature. Nevertheless, environmental sensors and/or wearable sensors are usually
needed. This can be costly and inconvenient. In this paper, we propose a smartphone indoor
localization system using only accelerometer and gyroscope data from the smartphone. The
Pedestrian Dead Reckoning (PDR) approach is used to build this system. The PDR approach
is simple and efficient though seems traditional. The major weakness of the PDR is that the
estimation error would accumulate over time. Thus we propose to add so-called calibration
marks which look like short arrows and are placed on both the floor plan and the ground. To
use the system, the user first finds a calibration mark on the ground, stands on it and faces
the right direction. He/she then moves the android icon (representing the user) on top of
the calibration mark on the floor plan on the smartphone. When the user starts to move, the
android icon also moves on the floor plan following the real-time estimation of step length
and moving direction change for each step from accelerometer and gyroscope data. This is a
prototype of an indoor navigation system that can become fully functional after an optimal
path planning module is included. Experimental results of estimated walking trace tests show
high accuracy. The system is promising and useful as long as a floor plan and calibration
marks are built in advance
