Fatigue detection and wake-up system based on eye movement parameter monitoring based on n-range image processing algorithm

Abstract

The invention discloses a fatigue detection and wake-up promotion system for eye movement parameter monitoring based on N-range image processing algorithm, comprising: a glasses body; an image acquisition module for collecting side eye image data of a wearer; a wake-up promotion module; Power supply module; Background processing module, it comprises eye movement data analysis module, fatigue level analysis module and main control module; Wherein, described eye movement data analysis module adopts N-range image processing algorithm to analyze eye movement data. The present invention can automatically determine the degree of human fatigue in real time through the analysis of eye movement data, and carry out early warning according to the level of human fatigue, and apply wake-up stimulation combined with sound, light and vibration, so as to reduce the degree of human fatigue and make the human body alert and stable. Improve work ability. The eye movement parameter analysis method of the present invention has the advantages of translation and rotation, no scale deformation, high robustness, strong anti-noise ability and anti-illumination imbalance ability.

Description

technical field [0001] The invention relates to the technical field of fatigue detection and awakening stimulation, in particular to a fatigue detection and awakening promotion system for eye movement parameter monitoring based on an N-range image processing algorithm. Background technique [0002] With the development of random society, the automation level of the current work is improving. Various jobs require staff such as pilots to maintain a high degree of alertness and abundant energy and attention to ensure that high-end equipment is operated without errors and related operations are carried out smoothly. However, Continuous, high-intensity, non-scheduled operations affect the staff's judgment, decision-making and combat execution capabilities. Therefore, it is necessary to accurately evaluate the influence of temporal biorhythm and its functional state on related working ability under continuous working conditions, and provide scientific intervention to improve the w...

AI Technical Summary

Problems solved by technology

This method has high accuracy in state discrimination, but its practicability is low. The human eye is only divided into three states, and a large amount of human eye micro-motion information is lost. In terms of fatigue judgment, the accuracy rate is low.

At present, eye movement-based fatigue monitoring methods generally have defects such as large amount of calculation, low robustness, and low accuracy.

And at present, the relevant equipment on the market is mainly focused on the research and development of driving fatigue detection devices, lack of research on related fields such as personal work ability improvement, and lack of portable wearable devices that integrate fatigue detection, early warning and wake-up stimulation. device

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