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- W2394208085 abstract "There are contradictions between the non-intrusive,real-time requirements and recognition rate in facial feature-based mental fatigue recognition algorithms which hinder the practical application of the algorithms.To solve these problems,extension theories and methods were introduced to build an extension model of the contradiction problem.A dependent function used to measure contradictions degree of the problem and a function for strategies evaluation were proposed.Extension analysis and extension transformation were used to generate solving strategies for mental fatigue recognition.Research results show that,based on models and strategies raised in this paper,we can develop a variety of feature extraction and mental fatigue recognition algorithms that both meet the non-intrusive,real-time requirements and recognition rate.At the same time,the value of the strategy can be quantified and compared.Results of this study can improve the intelligence of mental fatigue recognition method,and provides a good example to solve the widespread conflicts between computational complexity and accuracy existing in pattern recognition algorithms." @default.
- W2394208085 created "2016-06-24" @default.
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- W2394208085 date "2015-01-01" @default.
- W2394208085 modified "2023-09-24" @default.
- W2394208085 title "Extension Model and Strategies Generating Mechanism for Mental Fatigue Recognition" @default.
- W2394208085 hasPublicationYear "2015" @default.
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