Dangerous driving behavior detection method and system based on smartphone gait recognition

A dangerous driving and smart phone technology, applied in the field of feature recognition, can solve the problem of detecting less dangerous driving of users, and achieve the effect of not easy to hide rigid cooperation, no rigid cooperation, and strong practicability.

Pending Publication Date: 2020-12-08
NANJING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

Existing gait recognition based on smartphones is mainly focused on the research and application of user identification, but there is very little research on detecting dangerous driving of users

Method used

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  • Dangerous driving behavior detection method and system based on smartphone gait recognition
  • Dangerous driving behavior detection method and system based on smartphone gait recognition
  • Dangerous driving behavior detection method and system based on smartphone gait recognition

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Embodiment Construction

[0046] The present invention will be further described below in conjunction with the accompanying drawings.

[0047] Such as figure 1 As shown, a dangerous driving behavior detection method based on smartphone gait recognition includes the following steps:

[0048] Step S1. Collect a number of original gait data of the user through the accelerometer in the smart phone carried by the user. The user is randomly selected and has the condition of dangerous driving behavior.

[0049] The present invention improves the mode of single-frequency acquisition. In order to reduce power consumption and ensure accuracy, dynamic frequency selection is adopted. When it is relatively fast, increase the acquisition frequency of the sensor to ensure the accuracy of detection.

[0050] Step S2, sending the collected raw gait data to the terminal computer for preprocessing of the gait data.

[0051] In order to reduce the impact of noise and errors brought about by the data collection process,...

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Abstract

The invention discloses a dangerous driving behavior detection method based on smartphone gait recognition. The method comprises the steps of collecting original gait data of a user; sending the original gait data to a terminal computer for preprocessing; segmenting the original data, and extracting a time-frequency domain characteristic value; performing dangerous driving behavior recognition onthe extracted characteristic value by adopting a preset classification algorithm, and establishing a dangerous driving behavior recognition model; and deploying the terminal of the dangerous driving behavior model to a smartphone terminal. The invention further provides a detection system of the dangerous driving behavior detection method based on smartphone gait recognition. The detection systemcomprises a data collection and processing module, a characteristic value extraction module, a dangerous driving behavior detection module and an early warning module. The smartphone user can be helped to detect whether the user has a dangerous driving behavior or not in real time through the gait, and thus, whether the user can drive a car or not is judged.

Description

technical field [0001] The invention relates to the technical field of feature recognition, and mainly relates to a dangerous driving behavior detection method and system based on smart phone gait recognition. Background technique [0002] In recent years, with the continuous deepening of the research on biometric identification technology, gait recognition, as a kind of identification technology based on human walking gait, has the advantages of easy acquisition, long-distance identification, and difficulty in hiding, which has attracted many researches at home and abroad. At the same time, the research on gait recognition technology will have good practical significance and application prospects for video surveillance, combating criminals and dangerous behavior detection. [0003] Traditional gait recognition adopts non-contact image acquisition and comparison for recognition. This method is easily affected by external factors such as clothing, and the cost of acquisition ...

Claims

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Application Information

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IPC IPC(8): A61B5/11A61B5/00G06K9/00G06K9/62G06N3/04G06N3/08
CPCA61B5/112A61B5/7225A61B5/7267G06N3/08G06V40/25G06N3/045G06F18/24
Inventor 沈澍陈伟男李文娟
Owner NANJING UNIV OF POSTS & TELECOMM
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