Attention-Based Convolutional and Recurrent Neural Networks for Driving Behavior Recognition Using Smartphone Sensor Data

Attention-Based Convolutional and Recurrent Neural Networks for Driving Behavior Recognition Using Smartphone Sensor Data

Driving behavior recognition is a challenging task that exploits the acceleration and angular velocity information of the vehicle collected by smartphone to identify various driving events. Traditional methods usually extract hand-crafted features from raw data, leading to under-explored temporal fe...

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Bibliographic Details
Main Authors: Jun Zhang, Zhongcheng Wu, Fang Li, Jianfei Luo, Tingting Ren, Song Hu, Wenjing Li, Wei Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
artificial neural networks
risk analysis
attention mechanism
CNN
RNN
Online Access:https://ieeexplore.ieee.org/document/8784284/

Internet

https://ieeexplore.ieee.org/document/8784284/

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