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A method, device and wearable device for detecting driving state based on gesture

A driving state and gesture detection technology, which is applied in the field of wearable devices and gesture-based detection of driving state, can solve the problems of low accuracy of driving state detection scheme and complex equipment, and achieve high judgment accuracy, high convenience, and comprehensiveness strong effect

Active Publication Date: 2020-06-09
北京博研智通科技有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Therefore, what the present invention aims to solve is the problem that the accuracy of the driving state detection scheme in the prior art is low and the required equipment is complicated.

Method used

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  • A method, device and wearable device for detecting driving state based on gesture
  • A method, device and wearable device for detecting driving state based on gesture
  • A method, device and wearable device for detecting driving state based on gesture

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Experimental program
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Embodiment 1

[0035] This embodiment provides a method for detecting driving state based on gestures, such as figure 1 shown, including:

[0036] S1: Obtain hand movement data, which can be the driver's hand movement speed, acceleration, angular velocity and other data collected by various sensors. Preferably, this embodiment collects hand state data by using an inertial sensor integrating an accelerometer and a gyroscope in a low-frequency sampling mode. According to switching different sampling frequencies and signal analysis periods in different driving states, the three-axis acceleration and three-axis angular velocity of the driving gesture signal are collected as hand motion data, and the original data in hexadecimal is obtained.

[0037] S2: Extract the eigenvalues ​​of the hand movement data. The hand movement data can be represented by waveform diagrams. Therefore, various eigenvalues ​​can be extracted for each data, for example, including the peak value, trough value, and signal...

Embodiment 2

[0070] This embodiment provides a device for detecting driving state based on gestures, such as Figure 5 As shown, the device includes:

[0071] The acquiring unit 51 is configured to acquire hand movement data, wherein the hand movement data is preferably triaxial acceleration and triaxial angular velocity.

[0072] An extraction unit 52, configured to extract feature values ​​of the hand movement data.

[0073] The recognition unit 53 is configured to determine the gesture action according to the feature value.

[0074] The determining unit 54 is configured to determine the driving state according to the change of the gesture action within a preset time.

[0075] This solution can determine the driver's gestures by extracting eigenvalues ​​from the driver's hand motion data. Even if the driver's routine driving actions produce relatively obvious motion data, the present invention will not directly determine the driving state, but further The driver's driving state is jud...

Embodiment 3

[0098] This embodiment provides a wearable device that detects driving status based on gestures, such as Figure 6 As shown, the equipment includes:

[0099] The sensing unit 61 is used to collect hand state data of the driver. The sensing unit may be an inertial sensor integrating an accelerometer and a gyroscope, and the collected hand state data may be three-axis acceleration and / or three-axis angular velocity.

[0100] The processor 62 is connected to the sensing unit 61, receives the hand state data, and uses the method provided in Embodiment 1 to determine the driving state of the driver.

[0101] This solution uses the motion sensor to collect the driver's hand data, and uses the data processor to extract the characteristic value from the driver's hand motion data to determine the driver's gestures, even if the driver's regular driving actions produce obvious motion data, this solution does not directly determine the driving state, but further determines the driver’s ...

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Abstract

The present invention provides a method, device and wearable device for detecting driving state based on gestures, the method comprising: acquiring hand motion data; extracting feature values ​​of the hand motion data; determining gesture actions according to the feature values; The driving state is determined according to the change of the gesture action within the preset time. The present invention extracts eigenvalues ​​from the driver's hand motion data to determine the driver's gestures. Even if the driver's routine driving actions produce relatively obvious motion data, it will not directly determine that the driving state is normal. The driver's gesture changes within a certain period of time are used to determine the driver's driving state, avoiding misjudgments caused by the driver's routine driving actions, thus the present invention has a higher judgment accuracy and a stronger comprehensiveness.

Description

technical field [0001] The present invention relates to the technical field of driving behavior detection, in particular to a method, device and wearable device for detecting driving state based on gestures. Background technique [0002] Real-time, fast, convenient and accurate detection of the driver's driving state is of great significance to traffic safety. At present, there are many ways to detect the driving state, for example, based on the detection of vehicle features, driver's facial features, and driving operation information. The detection of driving status based on vehicle features is mostly based on video, which is easily affected by the environment and vehicle type, and the detection method is complicated; the detection of driving status based on the driver’s facial features is easily affected by light, and the detection environment is limited; the detection based on driving operation information is generally Using electrodes to contact the driver's body parts ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/01G06K9/00G06T5/00
CPCG06F3/014G06T5/002G06F2203/011G06T2207/20084G06T2207/30268G06V40/28G06V20/597
Inventor 谭墍元郭伟伟尹凯莉田鑫杨彦博李力徐大江
Owner 北京博研智通科技有限公司
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