The invention discloses a driving load grading evaluation method based on a hidden Markov model, and belongs to the field of man-machine collaborative driving. The implementation method comprises the steps that a portable physiological recorder is adopted, electrocardiosignals of a driver in a preset driving load grade scene are collected, and sample data sets under all driving load grades are obtained by segmenting an electrocardiosignal sequence sample data set; the method comprises the following steps: acquiring electrocardiosignals, performing feature extraction and standardization processing on the electrocardiosignals from the angles of time domain, frequency domain and non-linear domain, and performing parameter optimization and training on a model based on a hidden Markov model (HMM) and a grid optimization method to realize graded evaluation and monitoring on the driving load of a driver so as to remind the driver to keep a proper workload level. The method can be applied to the field of man-machine cooperative driving, is helpful for a driver to adapt to the diversity of man-machine cooperative task situation evolution, assists the driver to take over and control vehicles safely and efficiently, and ensures the effectiveness of man-machine interaction.
本发明公开的一种基于隐马尔可夫模型的驾驶负荷分级评估方法,属于人机协同驾驶领域。本发明实现方法为:采用便携式生理记录仪,采集驾驶人在预定驾驶负荷等级场景下的心电信号,通过对心电信号序列样本数据集分割,获取各驾驶负荷等级下的样本数据集,并从时域、频域、非线性域角度对心电信号进行特征提取及标准化处理,基于隐马尔可夫模型(HMM)及网格寻优方法对模型进行参数寻优及训练,实现对驾驶人驾驶负荷分级评估监测,以提醒驾驶人保持适度的工作负荷水平。本发明能够应用于人机协同驾驶领域,有助于驾驶人适应人机协同任务情境演变的多样性,辅助驾驶人进行安全高效的车辆接管与操控,确保人机交互有效性。
Driving load grading evaluation method based on hidden Markov model
一种基于隐马尔可夫模型的驾驶负荷分级评估方法
2023-10-27
Patent
Elektronische Ressource
Chinesisch
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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