基于情绪识别的驾驶模式调节方法、系统、装置及介质

By comprehensively utilizing the driver's facial images, voice information, body movements, and vehicle driving environment images, combined with a deep neural network model, the accuracy problem of single-dimensional emotion recognition is solved, enabling efficient adjustment of driving modes and improving vehicle driving safety and driving experience.

CN116691699BActive Publication Date: 2026-07-17GAC HONDA AUTOMOBILE CO LTD +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GAC HONDA AUTOMOBILE CO LTD
Filing Date
2023-07-26
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, driver emotion recognition relies on a single dimension of facial expression changes, which is easily affected by external environmental interference and has low efficiency in adjusting driving modes, thus affecting vehicle driving safety and driver experience.

Method used

By acquiring the driver's facial images, voice information, body movements, and vehicle driving environment images, and combining them with a deep neural network model, the system comprehensively identifies the driver's emotions and automatically adjusts the driving mode, taking into account driving scenario information to improve recognition accuracy and adjustment efficiency.

Benefits of technology

It improves the accuracy of driver emotion recognition and the efficiency of driving mode adjustment, thereby enhancing vehicle safety and the driver's driving experience.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明公开了基于情绪识别的驾驶模式调节方法、系统、装置及介质,包括:获取驾驶员的人脸图像信息、语音信息以及肢体动作信息,并获取目标车辆的行驶环境图像信息;根据人脸图像信息识别得到驾驶员的面部表情信息,根据语音信息识别得到驾驶员的语音情感信息,并根据肢体动作信息识别得到驾驶员的驾驶行为信息;根据行驶环境图像信息识别得到目标车辆的驾驶场景信息,并将面部表情信息、语音情感信息、驾驶行为信息以及驾驶场景信息输入到预先训练好的情绪识别模型,得到驾驶员的情绪识别结果;根据情绪识别结果和驾驶场景信息对目标车辆的驾驶模式进行调节。本发明提高了车辆行驶的安全性和驾驶员的驾驶体验,可广泛应用于车辆控制技术领域。
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