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- W3004819096 abstract "This paper aims at investigating the usage of smartphone sensor data and machine learning methods to monitor abnormal driver behavior. For this reason, a literature review was carried out in order to get insights into current studies of this field. Different machine learning approaches as well as different sensor data are used and from the findings of the literature. The neural networks were chosen for the classification task in the proposed for driver decision support system. Furthermore, the proposed methodology utilizes smartphone based sensor data. This way the majority of people can access the system no matter their current car." @default.
- W3004819096 created "2020-02-14" @default.
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- W3004819096 date "2019-11-01" @default.
- W3004819096 modified "2023-10-01" @default.
- W3004819096 title "Driver Behavior Monitoring Based on Smartphone Sensor Data and Machine Learning Methods" @default.
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- W3004819096 doi "https://doi.org/10.23919/fruct48121.2019.8981511" @default.
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