Subway driver emotion identification method and device based on deep learning

A technology of deep learning and deep learning network, applied in the field of subway driver emotion recognition method and device, can solve problems such as no recognition of emotional state, alarm, lack of vigilance control for drivers, and system functions that cannot meet actual operation requirements, so as to ensure driving Safety and high recognition accuracy

Active Publication Date: 2018-06-15
CRRC IND INST CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the existing train driving safety equipment of my country's urban rail transit basically does not have the function of driver's vigilance and

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  • Subway driver emotion identification method and device based on deep learning
  • Subway driver emotion identification method and device based on deep learning
  • Subway driver emotion identification method and device based on deep learning

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Embodiment Construction

[0045] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is only some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0046] Such as figure 1 As shown, a schematic flow chart of a deep learning-based subway driver emotion recognition method provided by an embodiment of the present invention includes:

[0047] S1, obtaining the driver's emotional state database, including face images and their corresponding emotional states;

[0048] S2, constructing a deep lear...

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Abstract

The invention provides a subway driver emotion identification method and device based on deep learning. The method comprises the following steps: obtaining a driver emotional state database, includingface images and corresponding emotional states; constructing a deep learning network model used for emotional state identification; using the driver emotional state database to train the deep learning network model, and solidifying the structure and parameters of the trained deep learning network model to obtain an emotional state identification model; and collecting a real-time working video ofa subway driver, extracting multiple continuous frames of images according to a preset frame rate, and inputting the multiple continuous frames of images to the emotional state identification model toobtain the emotional state identification result of the subway driver. The emotional state of a subway driver is monitored in real time by using a deep learning network model based on a 3D convolution neural network and a stacked auto-encoder. The identification precision is high. The abnormal working state of a driver can be found early, and the safety of driving can be ensured.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, and more specifically, to a method and device for identifying emotions of subway drivers based on deep learning. Background technique [0002] In recent years, the average running speed and traffic density of urban rail transit trains have been continuously increasing. Although the train driving safety equipment and the driver's standardized operation level have been greatly improved, the driver's inattention and fatigue driving may occur during the value ride process. The probability of serious threats to the safe operation of trains such as loss of control ability caused by accidental injuries and diseases still exists. [0003] At present, the existing train safety equipment of my country's urban rail transit basically does not have the function of driver's vigilance and control. It does not recognize and alarm the emotional state of the driver's personal work, and the system fun...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V40/174G06N3/045
Inventor 王经纬唐海川龚明田寅
Owner CRRC IND INST CO LTD
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