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Pilot Implementation for Driver Behaviour Classification Using Smartphone Sensor Data for Driver-Vehicle Interaction Analysis

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Sense, Feel, Design (INTERACT 2021)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13198))

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Abstract

Driving is considered one of the most difficult tasks because the driver is responsible for a variety of other responsibilities in addition to driving. The primary responsibility of a driver should be to properly operate a vehicle while concentrating solely on driving. However, he/she must also complete various secondary jobs at the same time. For example, operating the steering wheel and the controls situated on the dashboard and steering wheel, operating the brake, accelerator, and clutch pedals while shifting gears as needed, and so forth. Modeling realistic driving behaviour proved tough for researchers and scientists. In this work, we examine the necessity for driver behaviour analysis as well as a method for visualising and estimating driver behaviour patterns utilising smart phone sensor data.

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Correspondence to Pawan Wawage or Yogesh Deshpande .

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Wawage, P., Deshpande, Y. (2022). Pilot Implementation for Driver Behaviour Classification Using Smartphone Sensor Data for Driver-Vehicle Interaction Analysis. In: Ardito, C., et al. Sense, Feel, Design. INTERACT 2021. Lecture Notes in Computer Science, vol 13198. Springer, Cham. https://doi.org/10.1007/978-3-030-98388-8_37

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  • DOI: https://doi.org/10.1007/978-3-030-98388-8_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-98387-1

  • Online ISBN: 978-3-030-98388-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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