Vehicle Cabin Biometric Data Synchronization for Stimulus Analytics
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Solution Overview
Problem
Existing systems lack an efficient method to perform deep analytics and strategic monetization of biomedical sensor data from vehicle occupants, particularly in response to various stimuli such as advertisements or environmental factors.
Innovation Solution
A system comprising sensors and a controller within vehicles, which collect and transmit biometric information to a server for deep analytics. This system synchronizes biomedical data from multiple vehicles to assess the effect of shared stimuli on occupants, providing valuable market analytics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If biometric data is collected from multiple vehicles and synchronized for deep analytics, then market analytics precision and advertising effectiveness are improved, but system complexity and data processing requirements increase
Solution Approach 1:
The system segments biometric data collection and processing into vehicle-level components (sensors, controllers) and centralized server-level components (data aggregation, deep analytics). Each vehicle independently collects and transmits biometric data, while the server performs synchronized multi-vehicle analysis. This segmentation allows precise market analytics through centralized processing while keeping individual vehicle systems relatively simple.
Solution Approach 2:
A centralized server acts as an intermediary that receives biometric data from multiple vehicles, synchronizes the data temporally and spatially, and performs deep analytics. This intermediary consolidates the complexity of multi-vehicle data processing at a single location, enabling precise market analytics without requiring each vehicle to handle complex multi-vehicle synchronization independently.
2Productivity
If real-time biometric monitoring is implemented in vehicles, then occupant response analysis is improved, but energy consumption and computational load increase
Solution Approach 1:
The system segments real-time biometric monitoring into lightweight vehicle-side data collection and transmission, with intensive processing performed remotely on the server. Vehicles only perform basic sensor data acquisition and wireless transmission, minimizing local energy consumption and computational load while enabling rapid occupant response analysis through server-side deep analytics.
Solution Approach 2:
The server performs the computationally intensive deep analytics and synchronization tasks, allowing vehicle systems to focus on their primary function of data collection and transmission. This self-service approach at the server level enables rapid occupant response analysis without burdening vehicle energy resources with heavy computational loads.
3Measurement precision
If multiple sensors are deployed throughout the vehicle cabin, then biometric data quality and coverage are improved, but device complexity and cost increase
Solution Approach 1:
The system segments the sensor network into multiple distributed sensing points throughout the vehicle cabin, with each sensor performing a specific biometric measurement function. Sensors are positioned to capture different aspects of occupant response (e.g., heart rate, respiration, galvanic skin response), improving overall data quality and coverage while maintaining relatively simple individual sensor designs that can be manufactured and deployed independently.
Data Source
AI summary
In at least one embodiment, a system for assessing biometric information for an occupant in a vehicle is provided. The system includes a plurality of sensors and a controller. The plurality of sensors is positioned about a main cabin of the vehicle and being configured to provide the biometric information for the occupant in response to a stimulus and to transmit a first signal indicative of the biometric information. The controller is positioned in the vehicle and is configured to activate the stimulus in the vehicle and to receive the biometric information after the stimulus has been activated. The controller is further configured to transmit the biometric information to at least one of another controller in the vehicle or to a server that is remote from the vehicle to assess the biometric information to determine the effect of the stimulus on the occupant.