Estimating driving behavior by a smartphone
Top Cited Papers
- 1 June 2012
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 19310587,p. 234-239
- https://doi.org/10.1109/ivs.2012.6232298
Abstract
In this paper, we propose an approach to understand the driver behavior using smartphone sensors. The aim for analyzing the sensory data acquired using a smartphone is to design a car-independent system which does not need vehicle mounted sensors measuring turn rates, gas consumption or tire pressure. The sensory data utilized in this paper includes the accelerometer, gyroscope and the magnetometer. Using these sensors we obtain position, speed, acceleration, deceleration and deflection angle sensory information and estimate commuting safety by statistically analyzing driver behavior. In contrast to state of the art, this work uses no external sensors, resulting in a cost efficient, simplistic and user-friendly system.Keywords
This publication has 12 references indexed in Scilit:
- Subliminal Persuasion and Its Potential for Driver Behavior AdaptationIEEE Transactions on Intelligent Transportation Systems, 2012
- Driving style recognition using a smartphone as a sensor platformPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Race-Car Instrumentation for Driving Behavior StudiesIEEE Transactions on Instrumentation and Measurement, 2011
- Audio visual cues in driver affect characterization: Issues and challenges in developing robust approachesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Driver Behavior Analysis During ACC Activation and Deactivation in a Real Traffic EnvironmentIEEE Transactions on Intelligent Transportation Systems, 2010
- The Need of Intelligent Driver Training Systems for Road SafetyPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- Detecting Stress During Real-World Driving Tasks Using Physiological SensorsIEEE Transactions on Intelligent Transportation Systems, 2005
- Reliable Method for Driving Events RecognitionIEEE Transactions on Intelligent Transportation Systems, 2005
- Toward machine emotional intelligence: analysis of affective physiological stateIEEE Transactions on Pattern Analysis and Machine Intelligence, 2001
- Dynamic programming algorithm optimization for spoken word recognitionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1978