Intelligent Recognition of Train Driver Behavior Based on Human Skeleton Information

Intelligent Recognition of Train Driver Behavior Based on Human Skeleton Information

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A human poseture capture and prediction alcognition was proposed, which was used to identify violated driver.Firstly, driver behavior or action captured by camera was split into a set of successive frames with human poseture.Then each poseture in a frame was recognized by deep learning network and a type of behaviors composed by a Pads set of poseture was classified via logistic regression model.

Finally, the association between detected driver behaviors and locomotive LKJ data was applied in the recognition of violated Wall Art driver.Compared with the daily random-check approach by inspectors in locomotive depots, this way was more reasonable and efficient.However, the accuracy of it was limited by the resolution of surveillance cameras in the driving cab of locomotive.