Method for quantifying driving comfort degree based on HRV, device and storage medium

Abstract

The invention discloses a method for quantifying driving comfort degree based on HRV, a device and a storage medium. The method comprises the following steps of simultaneously obtaining sensing data transmitted by an electrocardio sensor and marking data transmitted through pick up equipment; according to the sensing data and read abnormal cycle, calculating out HRV time domain indexes, wherein the HRV time domain indexes comprise the number of cardiac activity of which the value difference of the adjacent normal heart beat interphase is greater than the abnormal cycle in all RR interphase innormal heart beat interphase standard differences and normal electrocardio data; and calculating out the relevance between the HRV time domain indexes and the marking data. According to the method disclosed by the invention, the HRV time domain indexes are introduced to be used as objective reference data, so that the authenticity of the marking data is supported by objective data, the reference value of the marking data is further increased, and the accurate quantification of the driving comfort degree is realized.

Description

technical field [0001] The invention relates to the field of biological signal processing, in particular to an HRV-based driving comfort quantification method, device and storage medium. Background technique [0002] At present, automobiles are one of the most important means of travel, and driving comfort is very important to drivers. Therefore, in the development process, it is necessary to quantify driving comfort to provide a data basis for improving driving comfort. Most of the existing methods rely on the test driver’s oral driving experience. Although this method can obtain some reference data, the evaluation made by the test driver during the driving process may be affected by physical conditions, such as motion sickness during long-term intense driving, Judgment cannot be objective, so the reference value of the quantitative driving results obtained by the prior art is relatively poor. Contents of the invention [0003] In order to overcome the deficiencies in th...

AI Technical Summary

Problems solved by technology

Most of the existing methods rely on the test driver’s oral driving experience. Although this method can obtain some reference data, the evaluation made by the test driver during the driving process may be affected by physical conditions, such as motion sickness during long-term intense driving, The judgment cannot be objective, so the driving quantitative results obtained by the existing technology have poor reference value

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