Smart Ring Stress Monitoring for Driving Risk Prediction
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Solution Overview
Problem
High levels of stress and anxiety can impair a driver's ability to focus on the road, leading to risky driving behavior and compromised safety, as existing wearable stress monitoring solutions are often cumbersome and disruptive, failing to provide continuous and accurate data for assessing driving fitness.
Innovation Solution
A smart ring wearable device equipped with sensors that monitor physiological and chemical indicators of stress, combined with a Machine Learning algorithm to predict driving risk exposure, providing personalized feedback and remediation strategies to mitigate stress and ensure safe driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing wearable stress monitoring solutions are used, then stress monitoring capability is provided, but the device is cumbersome and disruptive, failing to provide continuous data
Solution Approach 1:
The smart ring embeds multiple sensors (accelerometer, gyroscope, heart rate monitor, temperature sensor) within a compact ring structure that fits on the user's finger. This nesting approach allows comprehensive stress monitoring functionality to be contained in a small, unobtrusive form factor that users can wear continuously without disruption to daily activities.
Solution Approach 2:
The patent replaces bulky mechanical wearable devices with a minimalistic ring structure that uses electronic sensors and wireless communication to perform stress monitoring. The ring eliminates the need for complex mechanical components, straps, or fastening mechanisms, providing continuous monitoring without physical discomfort or interference with user activities.
2Measurement precision
If a smart ring with multiple sensors is used, then monitoring accuracy is improved, but device complexity increases
Solution Approach 1:
The smart ring integrates multiple sensors (accelerometer, gyroscope, heart rate monitor, temperature sensor) into a single universal device that performs comprehensive stress monitoring. Each sensor contributes to the overall accuracy of stress detection, and the ring serves multiple functions including motion tracking, physiological monitoring, and wireless data transmission, thereby improving measurement precision without proportionally increasing device complexity.
Solution Approach 2:
The smart ring employs machine learning algorithms that automatically process and analyze data from multiple sensors to detect stress patterns. The system self-calibrates and adapts to individual user characteristics over time, reducing the need for manual configuration or complex user intervention. This self-service capability manages device complexity by automating the interpretation of multi-sensor data.
3Adaptability or versatility
If machine learning algorithms are implemented, then personalized driving risk prediction is achieved, but computational requirements and data processing complexity increase
Solution Approach 1:
The system collects and stores baseline stress data and driving behavior data over time before actual driving risk assessment is needed. Machine learning algorithms are trained in advance using this historical data to create personalized stress patterns for each user. This preliminary action enables the system to quickly assess driving risk in real-time without requiring complex computations during the actual driving evaluation, thereby achieving personalized prediction while managing computational complexity.
Data Source
AI summary
The described systems and methods determine a driver's fitness to safely operate a moving vehicle based at least in part upon observed stress patterns. A smart ring, wearable on a user's finger, continuously monitors user's physiological and behavioral parameters indicative of being under stress. This stress data, representing stress patterns, can be utilized, in combination with driving data, to train a machine learning model, which will predict the user's level of risk exposure based at least in part upon observed stress patterns. The user can be warned of this risk to prevent them from driving or to encourage them to use an appropriate stress coping strategy before or during driving. In some instances, the disclosed smart ring system may interact with the user's vehicle to prevent it from starting while exposed to high risk due to deteriorated psychological or physiological conditions stemming from being under stress.