Intelligent reminding seat cushion system for preventing fatigue driving and reminding method

Abstract

The invention relates to the technical field of driving safety reminding, in particular to an intelligent reminding seat cushion system for preventing fatigue driving. A panoramic camera is connectedwith a functional host through a connecting wire; an intelligent seat cushion is in wireless connection with the functional host; the panoramic camera is arranged at the inner side of an automobile inner front windshield and is used for collecting image information in an automobile, particularly the image information of a driver; the intelligent seat cushion is arranged on a driving chair and is used for stimulating the lower limb sensing of a driver; a functional host is used for processing and analyzing the image information collected by the panoramic camera; when the fatigue driving of thedriver is judged, a reminding instruction is given out to the intelligent seat cushion. Compared with the prior art, the intelligent reminding seat cushion system for preventing fatigue driving has the advantages that the lower limb sensing of the driver is stimulated; the signals are directly transmitted to the brain central nervous center through the peripheral nerve of the limb; the fast feedback can be realized; the consciousness is maintained; the sound stimulation and the continuous switching of fatigue driving can be avoided; the reminding effect is faster and better.

Description

【Technical field】 [0001] The invention relates to the technical field of driving safety reminders, in particular to an intelligent reminder cushion system and a reminder method for preventing fatigue driving. 【Background technique】 [0002] According to the statistics of the World Health Organization in 2018, the number of deaths in traffic accidents in the world has exceeded 2.5 million people every year, and traffic casualties have exceeded those caused by turmoil in the world and regional wars. Among them, fatigue driving is the most harmful consequence, and fatigue is the most important cause of traffic accidents. The proportion of accidents is large and particularly prominent. Since the occurrence of fatigue is not as preventable as violation of traffic regulations and drunk driving, it is difficult to predict before the occurrence of fatigue driving, accidents occur suddenly, and subjective will is difficult to overcome. It has always been difficult to prevent, supervi...

AI Technical Summary

Problems solved by technology

[0003] The current fatigue driving detection is to capture the driver's face image through the camera, identify the driver's eye features through the image recognition algorithm, and judge whether there is drowsiness. When drowsiness is detected and eyes are closed, the fatigue behavior is reminded through sound stimulation. The effect of sound stimulation is not ideal in the case of fatigue, and the human body senses will become immune to the same warning sound for a long time, and the reminder effect is not good

[0004] Traditional fatigue driving reminders are mainly issued through the horn warning sound and the simulated human voice. Because it takes time for the sound to reach the driver's inner ear, the sensitivity of the driver to the sound and the driver's fatigue are different. In addition, there are some people with hearing loss. Impaired drivers, so the sound reminder has a lot of downsides

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