Multisensor Human State Detection for Noisy Vehicle Biosignals
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Solution Overview
Problem
Existing human functional state detection systems suffer from inaccuracies and unreliability due to noise in biosignal sensors and environmental conditions, particularly in automotive environments, leading to potential misinterpretation of human states.
Innovation Solution
A method and system that utilizes multiple sensors to detect interdependencies between physiological parameters, such as heartbeat and eye movements, to determine a user's overall state by combining conditions and generating an output signal, thereby improving accuracy and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If single-component state detectors are used to identify specific human conditions, then the system can detect individual physiological parameters, but the detection accuracy and reliability deteriorate due to noise and environmental conditions
Solution Approach 1:
The patent combines multiple single-component state detectors into a unified multi-component state detector. Each detector monitors a specific physiological parameter (eye closure, heartbeat, respiration), and their outputs are integrated to determine the overall human state. This merging approach allows the system to compensate for noise in individual sensors by cross-validating multiple signals, thereby improving both measurement precision and detection reliability in automotive environments.
2Reliability
If multiple sensors are used to detect multiple physiological parameters, then the reliability of state detection improves, but the device complexity increases
Solution Approach 1:
The patent implements a multi-functional state detector that simultaneously monitors multiple physiological parameters (eye closure level, heartbeat rate, respiration patterns) using a single integrated processing unit. This universal detector design consolidates what would otherwise require separate detection systems, reducing overall device complexity while maintaining the reliability benefits of multi-parameter monitoring through centralized signal processing and state integration.
3Ease of operation
If biosignal sensors are placed remote from the user in automotive environments, then the ease of operation improves, but the measurement precision deteriorates due to higher noise levels
Solution Approach 1:
The patent combines multiple remote biosignal sensors (camera for eye closure, photoplethysmograph for heartbeat, microphone for respiration) into an integrated monitoring system. By merging these remote sensors that are easily installed in the automotive environment, the system compensates for individual noise levels through signal fusion and cross-validation, maintaining measurement precision while preserving the ease of operation benefits of remote sensing.
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
Enhances the confidence in detecting human functional states by accounting for interdependencies between conditions, allowing for more precise determination of fitness to operate vehicles and enabling appropriate interventions.
Implementation Method 1
the photodetector output of a photoplethysmograph, which is proportional to the intensity of the green light beam reflected from the skin
Data Source
AI summary
According to one aspect of the present disclosure, there is provided a computer-implemented method for detecting human functional states, the method comprising: obtaining one or more signals from one or more sensors, wherein the signals are representative of a plurality of physiological parameters of the user; determining a plurality of conditions associated with the user based on values of the physiological parameters; determining a functional state of the user based on the conditions; and generating an output signal to indicate the functional state of the user.