Driving Assistance System with Dynamic ECG PPG Sensing Mode Switching
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Solution Overview
Problem
Traffic accidents often result from drivers experiencing sudden physiological issues such as heart attacks or drowsiness, which existing technologies fail to detect and address in time, leading to potential fatalities.
Innovation Solution
A driving assistance system comprising a physiological information sensing system and an external physical symptom detection system, coupled with a processing device that initiates emergency procedures when abnormal readings are detected, utilizing ECG and PPG sensors to monitor the driver's health and switch between sensing modes for accurate data access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If only PPG sensing mode measurement is used, then the accessibility to physiological information is ensured, but the accuracy of physiological information is reduced
Solution Approach 1:
The system dynamically switches between PPG sensing mode and ECG sensing mode based on the driver's contact state with the steering wheel. When the driver contacts the steering wheel, the system transitions from PPG mode to ECG mode to improve measurement accuracy. This dynamic adaptation resolves the contradiction by allowing the system to maintain ease of operation through PPG while achieving high accuracy through ECG when conditions permit.
2Measurement precision
If ECG sensing mode measurement is used, then the accuracy of physiological information is increased, but the accessibility to physiological information may be compromised
Solution Approach 1:
The system implements dynamic mode switching between PPG and ECG sensing based on real-time detection of driver-steering wheel contact. When contact is detected, ECG mode is activated for high accuracy; when contact is lost, the system automatically switches to PPG mode to maintain operational accessibility. This resolves the contradiction by making ECG accuracy available only when the driver is properly positioned, while ensuring continuous monitoring capability through PPG.
3Measurement precision
If physiological information and external physical symptoms are both detected, then the accuracy of emergency procedure initiation is improved, but the device complexity increases
Solution Approach 1:
The system merges physiological information sensing (ECG/PPG) with external physical symptom detection (camera-based facial expression analysis, posture detection) into a unified monitoring framework. The processing device integrates data from both sensing systems to comprehensively assess driver condition and determine whether emergency procedures should be initiated. This combination improves diagnostic accuracy by cross-validating physiological data with external observations, while the integrated architecture manages complexity through coordinated processing.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables immediate and accurate initiation of emergency procedures, reducing the likelihood of accidents by continuously monitoring the driver's physiological and external symptoms, ensuring timely intervention and accurate diagnosis.
Implementation Method 1
Each of the physiological information sensing modules includes an electrocardiogram (ECG) sensor
Implementation Method 2
Each of the physiological information sensing modules includes a photoplethysmogram (PPG) sensor
Data Source
AI summary
A driving assistance system and a driving assistance method are provided. The driving assistance system includes a physiological information sensing system, an external physical symptom detection system, and a processing device. The physiological information sensing system is configured to sense physiological information of a driver. The external physical symptom detection system is configured to detect an external physical symptom of the driver. The processing device is coupled to the physiological information sensing system and the external physical symptom detection system. When the physiological information of the driver and the external physical symptom of the driver are abnormal, the processing device initiates an emergency procedure.