Human mobility is known to follow simple reproducible patterns, i.e., humans tend to travel a few known places. Early detection of those “significant journeys” has a prospect for emerging smart applications like real-time traffic route recommendation and automated HVAC (heating, ventilating, and air conditioning) systems. In this paper, we design, implement, and evaluate a mobile system that effectively captures significant journeys based solely on the embedded barometer sensor of a smartphone. Unique elevation signatures of driving routes are extracted using the barometer sensor of a smartphone that is position/orientation independent and exceptionally energy efficient compared to other power-hungry sensors like gyroscopes and GPS units. Using over 90-miles of real-world data collected from the city of Brookings, SD, we demonstrate that the proposed system achieves the mean detection accuracy of 95.7% with the mean false positive rate of 2.3% using only the barometer sensor.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Enabling energy-efficient driving route detection using built-in smartphone barometer sensor


    Contributors:


    Publication date :

    2016-11-01


    Size :

    669458 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Dangerous driving behavior detection using smartphone sensors

    Fu Li / Hai Zhang / Huan Che et al. | IEEE | 2016


    Trouble barometer

    Barber, J.F.S. | Engineering Index Backfile | 1932


    JOB-BAROMETER

    Online Contents | 1994


    JOB-BAROMETER

    Online Contents | 1994