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Machine-learning approach to analysis of driving simulation data | IEEE Conference Publication | IEEE Xplore

Machine-learning approach to analysis of driving simulation data


Abstract:

In our study, we sought to generate rules for cognitive distractions of car drivers using data from a driving simulation environment. We collected drivers' eye-movement a...Show More

Abstract:

In our study, we sought to generate rules for cognitive distractions of car drivers using data from a driving simulation environment. We collected drivers' eye-movement and driving data from 18 research participants using a simulator. Each driver drove the same 15-minute course two times. The first drive was normal driving (no-load driving), and the second drive was driving with a mental arithmetic task (load driving), which we defined as cognitive-distraction driving. To generate rules of distraction driving using a machine-learning tool, we transformed the data at constant time intervals to generate qualitative data for learning. Finally, we generated rules using a Support Vector Machine (SVM).
Date of Conference: 22-23 August 2016
Date Added to IEEE Xplore: 23 February 2017
ISBN Information:
Conference Location: Palo Alto, CA, USA

References

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