航空工程进展2024，Vol.15Issue(2)：49-55,7.DOI:10.16615/j.cnki.1674-8190.2024.02.06
基于语谱图的管制员疲劳状态检测研究
Research on controller fatigue state detection based on speech spectrogram
杨昌其 1冯筱晴 1张雨萱 1蔡子牛1
作者信息
- 1. 中国民用航空飞行学院 空中交通管理学院,广汉 618307
- 折叠
摘要
Abstract
In the current research on the fatigue state of controllers using radiotelephony communication,most of them only consider the changes of voice in the time domain or frequency domain,while ignore that fatigue will af-fect the time domain and frequency domain at the same time.The voice of radiotelephony communication in the three fatigue states is converted into speech spectrum images that can reflect the characteristics of both the time do-main and frequency domain,and the grayscale co-existence matrix is used to extract the typical feature parameters in four dimensions.The changes of the characteristic parameters of the controllers in different states are compared,and the controller fatigue detection model is constructed to detect the input features.The results show that the detec-tion accuracy of using the spectrogram features combined with the traditional features as the input features is the highest(95.49%),which is 4%higher than that of the traditional features alone.The change of controllers fatigue state can intuitively reflected on the spectrogram and haves an impact on its eigenvalues,and the better detection re-sults can be obtained by using this influence to detect the controllers fatigue state.关键词
管制员/疲劳检测/语谱图/灰度共生矩阵/机器学习Key words
controller/fatigue detection/spectrogram/grayscale co-existence matrix/machine learning分类
航空航天引用本文复制引用
杨昌其,冯筱晴,张雨萱,蔡子牛..基于语谱图的管制员疲劳状态检测研究[J].航空工程进展,2024,15(2):49-55,7.
