Author(s)

Lisong Ou ¹

Affiliation(s)

¹ Guilin University of Technology, Guilin, Guangxi, 541000, China

Corresponding Author

Lisong Ou

ABSTRACT

With the rapid implovement of the transportation industry, traffic accidents have become one of the difficult problems faced by various countries. Statistics show that driver fatigue is one of the vital causes of traffic accidents. The problem of driving fatigue has attracted the attention of many people in the world. Western developed countries have invested huge manpower, financial resources and material resources, and extensively carried out research work on driving fatigue. Effectively monitoring and preventing fatigue driving is of great practical significance for reducing traffic accidents and ensuring the safety of drivers. With the rapid implovement and application of computer, it has become the mainstream direction of fatigue detection to judge the driver's fatigue state through various algorithms by using the head image of the driver captured by the camera. In this paper, the fuzzy recognition neural network algorithm is adopted, and the extracted fatigue characteristic parameters are sent to the FNN for fatigue recognition. The input parameters, that is, the nodes of the first layer of the neural network, have only one output, and the output value represents the fatigue level.

KEYWORDS

Fuzzy recognition neural network algorithm, fatigue detection, App, Application

CITE THIS PAPER

Lisong Ou, Application of Fuzzy Recognition Neural Network Algorithm in Fatigue Detection. Advances in Computer, Signals and Systems (2022) Vol. 6: 67-71. DOI: http://dx.doi.org/10.23977/acss.2022.060308.

REFERENCES

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