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HybridBaro: Mining Driving Routes Using Barometer Sensor of Smartphone
- HybridBaro: Mining Driving Routes Using Barometer Sensor of Smartphone
- Won, Myounggyu; Mishra, Ashutosh; Son, Sang H.
- DGIST Authors
- Won, Myounggyu; Son, Sang H.
- Issue Date
- IEEE Sensors Journal
- Article Type
- Article in Press
- Advanced Driver Assistance Systems (ADAS); Barometers; Climate Control; Driver Information Systems; Driving Route Detection; Energy Efficiency; False Positive Rates; Global Positioning System (GPS); Gyroscopes; Intelligent Applications; Mobile Communication; Mobile Communications; Mobile Computing; Mobile Telecommunication Systems; Real Time Systems; Real Time Traffics; Route Detections; Sensor Phenomena and Characterization; Sensor Systems; Smartphones; Timely Identification; Trajectories; Trajectory
- Recent research showed that human mobility is characterized by reproducible patterns, i.e., humans tend to travel a few known places. Timely identification of these “significant journeys has prospects for emerging intelligent applications like real-time traffic route recommendation and automated HVAC systems. Existing mobile systems, however, utilize energyhungry sensors like GPS and gyroscope to detect significant journeys, which make it hard to keep such systems running to continuously monitor driving routes. To address this issue of energy efficiency without compromising the performance, in this article, a hybrid mobile system based on the barometer sensor of a smartphone is developed. Distinctive elevation signatures of driving routes are captured using the smartphone barometer sensor that is exceptionally energy efficient and position/orientation independent. Degraded accuracy due to flat areas with minimal elevation changes is offset by developing an adaptive algorithm that opportunistically obtains GPS locations for a very short period of time when such flat areas are detected in real time. Using over 150miles of field data, it is demonstrated that the proposed mobile system achieves the mean detection accuracy of 97% with the mean false positive rates of 1.5%. IEEE
- Institute of Electrical and Electronics Engineers Inc.
- Related Researcher
Son, Sang Hyuk
RTCPS(Real-Time Cyber-Physical Systems Research) Lab
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