Search

CN-122009195-A - Driver emotion information determination method, device, equipment and medium

CN122009195ACN 122009195 ACN122009195 ACN 122009195ACN-122009195-A

Abstract

The disclosure provides a driver emotion information determination method, which can be applied to the technical field of radars. The method comprises the steps of transmitting radar signals to a driver through a radar module arranged at a preset position in a driver seat, receiving echo signals obtained by the driver through reflection of the radar signals, extracting heartbeat cycles and breathing cycles of the driver from the echo signals, calculating a heartbeat interval change rate representing heart rate variability based on every two adjacent heartbeat cycles and the I heartbeat cycles in the I heartbeat cycles, calculating the breathing rate based on the breathing cycle, and determining the emotion state of the driver based on the heartbeat interval change rate and the breathing rate. The disclosure also provides a driver emotion information determination device, equipment and a storage medium.

Inventors

  • WEI ZHENGWU
  • ZHANG DONG

Assignees

  • 合肥中科知奇信息科技有限公司

Dates

Publication Date
20260512
Application Date
20260209

Claims (10)

  1. 1. A driver emotion information determination method, characterized by comprising: transmitting radar signals to a driver through a radar module arranged at a preset position in a driver seat, and receiving echo signals obtained by the driver in a reflection way of the radar signals; Extracting a heartbeat cycle and a breathing cycle of the driver from the echo signal, wherein the heartbeat cycle comprises I heartbeats; Calculating a heart beat interval change rate characterizing heart rate variability based on every adjacent two heart beat cycles of the I heart beats and the I heart beats; calculating a respiration rate based on the respiration cycle; and determining emotion information of the driver based on the heartbeat interval change rate and the breathing rate.
  2. 2. The method of claim 1, wherein the extracting the heartbeat cycle and the respiratory cycle of the driver from the echo signal comprises: Carrying out phase extraction on the echo signals to obtain initial signals representing the heartbeat frequency and the respiratory frequency of the driver; Performing band-pass filtering processing on the initial signal to obtain a heartbeat signal and a respiratory signal; performing autocorrelation processing on the heartbeat signal to obtain a heartbeat period; and carrying out autocorrelation processing on the respiratory signal to obtain a respiratory cycle.
  3. 3. The method of claim 1, wherein the predetermined position is an area of the driver seat aligned with the chest position when the driver is in a seating position.
  4. 4. The method of claim 2, wherein the phase extracting the echo signal to obtain an initial signal indicative of the driver's heartbeat frequency and respiratory frequency comprises: Performing time-distance transformation on the echo signals to obtain slow time distance matrix data representing energy change in each distance; Determining target slow time data related to the driver energy fluctuation from the slow time distance matrix data; and extracting the initial signal from the target slow time data.
  5. 5. The method of claim 4, wherein said determining target slow time data associated with said driver energy fluctuation from said slow time distance matrix data comprises: and selecting a target distance unit representing energy fluctuation of a driver from the slow time distance matrix data, and taking slow time data corresponding to the target distance unit as the target slow time data.
  6. 6. The method of claim 4, wherein the target slow time data comprises imaginary data and real data, the extracting the initial signal from the target slow time data comprising: Calculating to obtain target phase data corresponding to the target slow time data based on the imaginary part data and the real part data; and performing phase unwrapping on the target phase data to obtain the initial signal.
  7. 7. The method of claim 1, wherein a waveguide is mounted on the radar module, and wherein the waveguide comprises at least one of: Glass fiber reinforced plastic, cyanate resin and polytetrafluoroethylene-based composite material.
  8. 8. A driver emotion information determination device, characterized by comprising: The receiving module is used for transmitting radar signals to a driver through a radar module arranged at a preset position in the driver seat and receiving echo signals obtained by the driver in a reflecting way of the radar signals; the extraction module is used for extracting the heartbeat cycle and the breathing cycle of the driver from the echo signals, wherein the heartbeat cycle comprises I heartbeats; A change rate calculation module for calculating a heart beat interval change rate characterizing heart rate variability based on each adjacent two heart beat periods of the I heart beats and the I heart beats; A breath rate calculation module for calculating a breath rate based on the breath cycle; And the determining module is used for determining the emotion information of the driver based on the heartbeat interval change rate and the breathing rate.
  9. 9. An electronic device, comprising: one or more processors; A memory for storing one or more computer programs, Characterized in that the one or more processors execute the one or more computer programs to implement the steps of the method according to any one of claims 1-7.
  10. 10. A computer-readable storage medium, on which a computer program or instructions is stored, which, when executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.

Description

Driver emotion information determination method, device, equipment and medium Technical Field The disclosure relates to the technical field of radars, and more particularly to a driver emotion information determination method, device, equipment and medium. Background With the continuous improvement of the intelligent level of automobiles, driver state monitoring has become one of the core functions of advanced auxiliary driving systems and intelligent cabins. The driver emotion recognition method in the related art generally relies on a visual camera to analyze the emotion of the driver through a visual algorithm, but the method cannot penetrate and shield, has high requirements on applicable scenes, and is difficult to effectively monitor under complex scenes such as mask and glasses worn by the driver or weak light in a cockpit. Furthermore, this method presents a privacy exposure risk. Disclosure of Invention In view of the above, the present disclosure provides a driver emotion information determination method, apparatus, device, and medium. According to a first aspect of the disclosure, a method for determining emotion information of a driver is provided, and the method comprises the steps of transmitting radar signals to the driver through a radar module installed at a preset position in a driver seat, receiving echo signals reflected by the radar signals by the driver, extracting heartbeat cycles and breathing cycles of the driver from the echo signals, calculating a heartbeat interval change rate representing heart rate variability based on every two adjacent heartbeat cycles and the I heartbeat cycles, calculating a breathing rate based on the breathing cycle, and determining emotion information of the driver based on the heartbeat interval change rate and the breathing rate. According to the embodiment of the disclosure, the method for extracting the heartbeat cycle and the breathing cycle of the driver from the echo signals comprises the steps of extracting phases of the echo signals to obtain initial signals representing the heartbeat frequency and the breathing frequency of the driver, carrying out band-pass filtering processing on the initial signals to obtain the heartbeat signals and the breathing signals, carrying out autocorrelation processing on the heartbeat signals to obtain the heartbeat cycle, and carrying out autocorrelation processing on the breathing signals to obtain the breathing cycle. According to the embodiment of the disclosure, the preset position is an area of the driver seat aligned with the chest position in the sitting state of the driver. According to the embodiment of the disclosure, the step of extracting the phases of the echo signals to obtain initial signals representing the heartbeat frequency and the respiratory frequency of the driver comprises the steps of performing time-distance transformation on the echo signals to obtain slow time distance matrix data representing energy change in each distance, determining target slow time data related to the energy fluctuation of the driver from the slow time distance matrix data, and extracting the initial signals from the target slow time data. According to the embodiment of the disclosure, the determining the target slow time data related to the energy fluctuation of the driver from the slow time distance matrix data comprises selecting a target distance unit representing the energy fluctuation of the driver from the slow time distance matrix data, and taking the slow time data corresponding to the target distance unit as the target slow time data. According to the embodiment of the disclosure, the target slow time data comprises imaginary part data and real part data, the initial signal is extracted from the target slow time data, the method comprises the steps of calculating target phase data corresponding to the target slow time data based on the imaginary part data and the real part data, and performing phase expansion on the target phase data to obtain the initial signal. According to the embodiment of the disclosure, the radar module is provided with the wave guide cover, and the material of the wave guide cover at least comprises at least one of glass fiber reinforced plastic, cyanate resin and polytetrafluoroethylene-based composite material. The second aspect of the disclosure provides a driver emotion information determination device, which comprises a receiving module, an extracting module, a change rate calculating module and a determining module, wherein the receiving module is used for transmitting radar signals to a driver through a radar module installed at a preset position in a driver seat and receiving echo signals obtained by reflecting the radar signals by the driver, the extracting module is used for extracting the heartbeat cycle and the breathing cycle of the driver from the echo signals, the heartbeat cycle comprises I heartbeats, the change rate calculating module is used for calculating a hea