Alertness detection system based on electro-oculogram signal

Abstract

The invention discloses an alertness detection system based on an electro-oculogram signal in the technical field of signal processing. The system comprises a signal acquiring system, a signal processing system and a feedback system, wherein the signal acquiring system acquires an electro-oculogram analog signal and then outputs characteristic data to the signal processing system after performing amplification, filtration and digital-to-analogue conversion on the electro-oculogram analog signal; the signal processing system extracts characteristics from the input electro-oculogram signal, estimates an alertness state and then outputs the data to the feedback system; and the feedback system sends an alarm when an alarm condition is met. Through the alertness detection system based on the electro-oculogram signal, information more complete and accurate than an eye video can be provided; when the system is combined with the plurality of characteristics, such as low-speed eye movement, high-speed eye movement, blink and the like, which are extracted from an electro-oculogram (EOG) and a linear dynamic system supporting real-time property is adopted to de-noise, the fatigue state of a user can be timely and accurately reflected and an alarm is generated for the fatigue beyond a certain degree.

Description

Technical field [0001] The invention relates to a device in the technical field of signal processing, in particular to a vigilance detection system based on electrooculogram signals. Background technique [0002] A large number of traffic accidents occur every year in the world, causing huge losses of lives and property. According to incomplete statistics, about 600,000 people die in traffic accidents in the world every year, and the average number of people injured in traffic accidents is about 10 million every year. The causes of traffic accidents can be divided into objective and subjective. The objective causes are mainly the influence of the natural environment and equipment failures, while the subjective causes mainly come from the driver himself, including drunk driving, fatigue driving, and operational errors caused by other reasons. Among them, fatigue driving occurs frequently and is difficult to predict and control. A white paper on fatigue driving issued by the Nati...

AI Technical Summary

Problems solved by technology

However, there are still obvious defects in the EEG-based method: the EEG signal is too weak and easily interfered, and the electrodes attached to the head are easily affected by hair, so its practicability needs to be further improved

However, the method used by this technology is simple. It only uses rapid eye movement as a feature to judge the degree of fatigue. It does not take advantage of the advantages of EOG with multiple characteristics, nor does it use any denoising method.

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