Improving Indoor Positioning Via Mobile Sensing

Accurate indoor position and movement information of devices enables numerous opportunities for location based services. GPS provides accurate localization results in an outdoor environment, however, GPS cannot be applied indoors pervasively due to the various interferences. Although extensive research has been dedicated to this field, accurate indoor location information remains a challenge without the incorporation of expensive devices or sophisticated infrastructures within buildings. We explored one indoor map construction approach and four representative resolutions for indoor positioning. First, we present a dynamic solution that uses mobile sensing techniques for constructing 2-dimensional indoor maps. Second, although GPS cannot help indoor localization directly, a proposed approach adopts a user’s motion behaviors built by GPS to enhance indoor localization by transfer learning. Then, we leverage opportunities of the interaction of multiple smartphones to enhance indoor positioning based on WiFi, Bluetooth, ZigBee, and acoustic sensing.