System for detecting driver fatigue based on surface myoelectricity technology

Abstract

The invention discloses a system for detecting driver fatigue based on surface myoelectricity technology. The system comprises two parts, a fatigue detecting terminal device and a remote monitoring center, wherein the fatigue detecting terminal device is designed to be a wearable headband which includes a turn on / off button, a surface myoelectricity detecting electrode, a data processing and controlling device, a vibration motor, and a wireless emitting device thereon. The detection of fatigue states can be realized through the detection of surface myoelectricity signals around eye part by employing the surface myoelectricity technology. The interaction between a local detection alert and a network backend alert enables operation entities to enhance real-time monitoring on driving states of drivers, which addresses the problems of great influence imposed by individual differences of the drivers and external environment, low relativity to fatigue features, and high difficulty of detecting technology of prior art mainstream detecting technology. The system of the invention provides a detecting system for detecting driver fatigue and is characterized by simple theory, comparatively low difficulty of realization, large parameter relativity, and high accuracy.

Description

technical field [0001] The invention relates to safe driving utilization, in particular to a driver fatigue detection system based on surface myoelectric technology. Background technique [0002] In recent years, with the rapid increase of car ownership, my country's road traffic safety situation is extremely severe, and traffic accidents have become a major problem affecting social and economic development. A number of studies at home and abroad have shown that fatigue driving, and the resulting dangerous driving behaviors such as following cars too closely and lane departures, are important causes of traffic accidents. According to a recent survey conducted by the National Highway Traffic Safety Administration (NHTSA) on more than 5,400 traffic accidents that occurred within three years, fatigue driving is the most frequent "critical action before the accident", accounting for about 100% of traffic accidents. 37%. Studies have shown that by detecting the driver's fatigue...

AI Technical Summary

Problems solved by technology

[0007] (1) This invention solves the problems existing in the existing mainstream detection technology, such as being greatly affected by individual driver differences and the external environment, low correlation with fatigue characteristics, and high difficulty in detection technology, and provides a principle for driver fatigue detection A detection method that is simple, relatively low in implementation difficulty, highly correlated with parameters, and high in accuracy;

[0008] (2) The detection equipment of the system adopts the design of a wearable headband, which solves the problems of existing vehicle equipment such as occupying space in the vehicle, affecting the appearance of the vehicle, being greatly affected by the model, and difficult to promote;

Images