Vehicle Occupant Recognition Using Interaction Behavior Matching
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Solution Overview
Problem
Conventional user identity verification methods in vehicle cockpits require cumbersome manual processes, such as entering passwords or scanning QR codes, which are inefficient and negatively impact user experience.
Innovation Solution
An object recognition method that uses interaction behavior information to prompt and recognize authorized objects by matching behavior data generated during interaction operations with preset behavior data, determining similarity and granting access to vehicle functions based on authorized permissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional manual verification methods (password entry, QR code scanning) are used, then information security is ensured, but user experience deteriorates due to cumbersome operations and low efficiency
Solution Approach 1:
The system automatically captures behavior data from sensors and performs recognition without requiring manual user input. The vehicle cockpit system itself collects and processes the data, making the verification process self-service rather than requiring active user participation through password entry or QR code scanning.
Solution Approach 2:
The patent replaces manual mechanical operations (typing passwords, scanning QR codes) with automated sensor-based behavior detection. Optical sensors, touch screens, and other detection devices automatically capture user behavior data, substituting the mechanical verification process with an automated detection and recognition system.
2Productivity
If automated behavior-based recognition is implemented, then recognition efficiency and user experience are improved, but system complexity increases due to multiple sensors and data processing requirements
Solution Approach 1:
The system uses existing multi-functional components in the vehicle cockpit (touch screens, sensors, display devices) that serve multiple purposes. These components are already present for other vehicle functions, and the patent leverages them for behavior-based recognition, avoiding the need for dedicated separate systems and reducing overall complexity.
Solution Approach 2:
The patent introduces a behavior data processing module that acts as an intermediary between raw sensor data and recognition decisions. This module standardizes and processes behavior data from various sources, simplifying the integration of multiple sensors and reducing the complexity of data handling by providing a unified processing interface.
3Measurement precision
If multiple behavior data parameters are collected for accurate recognition, then recognition accuracy is improved, but data processing time and computational load increase
Solution Approach 1:
The system collects comprehensive behavior data including position, posture, facial expressions, and voice commands - more data than strictly necessary for basic recognition. This excessive data collection ensures high recognition accuracy by having redundant information, while the processing system handles the volume efficiently through automated algorithms.
Solution Approach 2:
The system pre-processes and stores behavior data templates during normal vehicle operation before recognition is needed. By building up databases of user behavior patterns in advance, the system reduces real-time processing requirements during actual recognition events, as comparison and matching can be performed against pre-established templates rather than requiring complex real-time analysis.
Data Source
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AI summary
The disclosure relates to an object recognition method and apparatus, a computer device, a storage medium, and a computer program product. The method includes: in response to a trigger signal for obtaining behavior data, obtaining and displaying interaction behavior information, where the interaction behavior information is used to prompt an object to be recognized of a vehicle to perform an interaction operation based on the interaction behavior information; receiving behavior data to be recognized of the object to be recognized, where the behavior data to be recognized includes behavior data generated when the object to be recognized performs the interaction operation; and determining, when the behavior data to be recognized matches preset behavior data, that the object to be recognized is recognized by the vehicle as an authorized object of the vehicle. This method can simplify the object recognition process and improve the recognition efficiency.