Method and device for monitoring driving road rage state
A driving state and state technology, used in diagnostic recording/measurement, medical science, sensors, etc., can solve the problem of inaccurate road rage state recognition results, overcome the problem of feature vector redundancy, reduce algorithm space complexity, reduce The effect of response time
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Embodiment 1
[0028] Such as figure 1 As shown, the embodiment of the present application provides a method for monitoring driving road rage state, wherein the method is applied to a wearable road rage monitoring device, and the device includes a physiological signal collection system, a physiological signal fusion system, and data processing Fusion and distribution, feature extraction of various physiological data, pattern recognition algorithm, data calculation model, information distribution and other functions; and a physiological parameter monitoring system for monitoring the driver's road rage status. Among them, all kinds of data obtained in the embodiments of the present invention are obtained after automatic calculation, matching, association, and processing from the above-mentioned systems or devices through computer communication technology. Wherein, the method includes:
[0029] Step 100: Obtain the driver's physiological signal data set, the feature dimension of the physiologi...
Embodiment 2
[0069]Based on the same inventive idea as the method for monitoring driving road rage in the foregoing embodiments, the present invention also provides a monitoring device for driving road rage, such as Figure 6 As shown, the device includes:
[0070] A first obtaining unit 11, the first obtaining unit 11 is used to obtain a driver's physiological signal data set, the feature dimension of the physiological signal data set is the first dimension;
[0071] A second obtaining unit 12, configured to perform feature processing on the physiological signal data set to obtain a feature vector of the physiological signal data set;
[0072] A third obtaining unit 13, the third obtaining unit 13 is configured to perform dimensionality reduction and feature extraction on the feature vector of the physiological signal, to obtain a dimensionality reduction feature vector;
[0073] The first construction unit 14, the first construction unit 14 is used to construct the driving road rage dat...
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