SMART RING SYSTEM FOR MEASURING DRIVER IMPAIRMENT LEVELS AND USING MACHINE LEARNING TECHNIQUES TO PREDICT HIGH RISK DRIVING BEHAVIOR

Smart overview of the Invention

A smart ring system is designed to continuously monitor a user's impairment levels due to intoxicating substances. By collecting data on various physiological and biochemical parameters, the system aims to assess whether the user is fit to drive safely. The smart ring utilizes machine learning techniques to analyze the collected data and predict high-risk driving behavior based on observed impairment patterns.

Data Collection and Analysis

The smart ring gathers a range of data, including:

• Physiological data such as heart rate, blood pressure, and body temperature.
• Motion data capturing gait patterns indicative of intoxication.
• Biochemical parameters derived from sweat analysis.

This data is then processed using a trained machine learning model to identify impairment patterns that correlate with high-risk driving behavior.

Machine Learning Model Training

The training of the machine learning model involves combining impairment data from the smart ring with driving data from a monitoring device. By analyzing this combined dataset, the model learns to recognize relationships between specific impairment patterns and corresponding high-risk driving behaviors. This training allows for personalized predictions of driving risk based on individual user data.

Risk Prediction and User Notifications

Upon analyzing the collected data, the system can determine if a user exhibits impairment patterns or correlates with high-risk driving patterns. If such conditions are identified, the system generates notifications to alert the user about their risk exposure, potentially preventing them from driving while impaired.

Innovative Approach to Impairment Monitoring

This smart ring offers a discreet and convenient alternative to traditional methods of measuring intoxication, such as breathalyzers or blood tests. Its inconspicuous design encourages continuous wear, making it easier for users to monitor their impairment levels in real-time without drawing attention to themselves. The system aims to enhance road safety by enabling users to self-assess their fitness to drive before getting behind the wheel.