Published February 10, 2022
| Version 1
Conference paper
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Driving activity assessment using accelerometer data
- 1. University of Belgrade - School of Electrical Engineering
- 2. Faculty of Electrical Engineering, University of Ljubljana
Description
Abstract
In this paper, we evaluated a variety of features acquired from data recorded from single tri-axial accelerometer placed on the subjects’ wrist in order to differentiate among driving events. Results obtained from 12 experienced drivers assessed in driving simulators with wristband revealed features that might be relevant for future driver’s activity recognition. Our preliminary exploratory data analysis showed that the most informative features for discriminative analysis among driving tasks are entropy and average spectral energy of the resultant acceleration.
Presentation
The presentation for this paper was held by MSc Nikola Šolaja in Portorož in 2019 and the presentation is available at https://zenodo.org/record/3510839.
Notes
Acknowledgement: Authors would like to thank Nervtech Ltd. from Trzin, Slovenia for providing data recorded in the driving simulator. Research was partly supported by the Ministry of education, science, and technological development, Republic of Serbia by Grant TR-33020 and also partly by the Slovenian Research Agency (L2-8178 and P2-0246).
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Additional details
Funding
- Ministry of Education, Science and Technological Development
- Energy efficiency Improvement of Hydro and Thermal power plants in EPS by development and implementation of power electronics based regulation and automation equipment 33020