The invention relates to the technical field of Internet of Things, in particular to a driver fatigue identification method, which comprises the following steps: S1, monitoring an electrocardiogram of a driver in a driving process by taking a time period T as an interval; s2, calculating the time interval of adjacent R waves of the electrocardiogram in the interval, and forming a result sequence of the electrocardiogram in the interval in combination with the starting time of the electrocardiogram in the interval; s3, calculating a mean square error root of the electrocardiogram in the interval; s4, setting weight matrixes of all drivers in different driving periods; s5, iteratively calculating an optimal weight matrix; and S6, calculating the current driving state probability. According to the method, a traditional mode of combining face image recognition is avoided, and the lag condition caused by face recognition is avoided.
本发明的一种驾驶员疲倦识别方法,物联网技术领域,包括:S1:以时间段T为区间,监测驾驶员驾驶过程中的心电图;S2:计算区间内心电图相邻R波时间间隔,结合该区间心电图的开始时刻,形成该区间心电图的结果序列;S3:计算该区间内心电图的均方差根;S4:设置所有驾驶员在不同驾驶时段的权重矩阵;S5:迭代计算出最优的权重矩阵;S6:计算当前驾驶状态概率。该方法规避了传统结合面部图像识别的方式,避免因为面部识别造成的滞后情况。
Driver fatigue identification method
一种驾驶员疲倦识别方法
2024-12-03
Patent
Electronic Resource
Chinese
IPC: | B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / A61B DIAGNOSIS , Diagnostik / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung |
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