Using the embedded sensors of mobile/wearable devices to provide customised navigation support and enhanced digital maps through crowdsourced informat

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The project is with the EPSRC CDT in Embedded Intelligence and the student is based in Loughborough Design School. The provision of navigation information for pedestrians, cyclists and drivers currently provides little customisation/adaptation according to the context of use (route familiarity, mode etc.). In addition it provides little in the way of a feedback loop in order to enhance the content of the underlying digital maps (e.g. walking times according to time of day/crowds). This project will exploit the opportunities offered by ubiquitous personal devices (e.g. smartphones, wearable fitness wristbands/watches) to collect data about the person and environment through a range of current/future sensors (GPS, accelerometer, heartrate). The data can be intelligently combined to provide an enhanced user experience whilst crowdsourcing information to improve the attributes of digital geographic information.