Method and system for detecting angry driving state based on smart bracelet

Abstract

The invention specifically relates to a method for detecting the angry driving state based on a smart bracelet. The method comprises the following steps that 1, electrocardiosignals are collected through the smart bracelet; 2, the electrocardiosignals are input into a parameter processing module, and electrocardio characteristic parameters and individual difference factor parameters are output; 3,the electrocardio characteristic parameters and the individual difference factor parameters are input into a learning evaluation model of the angry driving state, and thus an anger emotion level of adriver is obtained; and 4, an early warning module is utilized to remind the driver. According to a system for detecting the angry driving state based on the smart bracelet, the driver wears the smart bracelet and a smartphone, and a vehicle driven by the driver is provided with an analyzing host which can communicate with the smart bracelet and the smartphone. According to the method and systemfor detecting the angry driving state based on the smart bracelet, individual difference indexes are added into the input characteristic of a neural network, normal driving of the driver is not disturbed, the accuracy rate of anger emotion evaluation of the driver is increased, and the emotion state of the driver is detected in real time.

Description

technical field [0001] The invention belongs to the technical application field of intelligent assisted driving, and relates to an abnormal driving state detection method, in particular to a method and system for detecting angry driving state based on an intelligent bracelet. Background technique [0002] In recent years, "road rage" caused by bad emotions has become more and more serious, and 90% of traffic accidents are related to driver factors. How to accurately identify the driver's anger and effectively prevent and avoid it caused by angry driving Road traffic safety accidents are the development trend of future driver anger research. [0003] In the traditional research on driver anger recognition, on the one hand, most scholars use physiological information (EEG, ECG, respiration, pulse, etc.) as evaluation indicators, but the measurement of physiological information still requires wearing a large number of electrodes or sensors. In practical application, it will af...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problems of low detection accuracy, high cost, complicated equipment operation, and large environmental impact in the prior art for angry driving detection, the present invention proposes a method for detecting angry driving state based on a smart bracelet, including the following steps :

Images