In-Vehicle Gesture Interpretation for Occupant-Aware Command Validation

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Solution Overview

Problem

Existing vehicle control systems struggle to reliably distinguish between valid gesture commands and unsafe or distracting actions by occupants, particularly in environments where multiple occupants may be present, which can compromise safety and operational reliability.

Innovation Solution

A system and method for detecting and interpreting gestures within vehicles, utilizing sensors and machine learning to identify valid gestures, assess their impact on current vehicle operations, and authorize actions based on occupant status and safety thresholds, with data stored and managed on a decentralized blockchain ledger.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If gesture recognition is implemented in vehicle control systems, then ease of operation is improved, but reliability deteriorates due to difficulty in distinguishing valid gestures from unsafe or distracting actions

Engineering Contradiction:
Improvegesture control operationVSAvoidgesture recognition accuracy
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The system segments gesture recognition into multiple independent analysis dimensions: motion trajectory analysis, temporal pattern analysis, spatial location analysis, and context analysis. Each dimension processes specific features separately and contributes to the overall gesture validation, allowing the system to distinguish valid gestures from distracting actions more reliably

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system introduces an intermediary gesture interpretation layer that acts as a mediator between raw sensor data and control actions. This intermediary layer analyzes gesture patterns, determines occupant intent, validates against safety criteria, and only authorizes actions that meet predefined safety thresholds, thereby improving reliability without compromising ease of operation

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If multiple sensors and analysis methods are deployed to improve gesture detection accuracy, then measurement precision is improved, but device complexity increases

Engineering Contradiction:
Improvegesture detection accuracyVSAvoidsensor and processing system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system employs sensors with multi-functionality, where the same sensor array serves both gesture detection and other vehicle monitoring functions. The processing system universally analyzes multiple types of inputs (gesture data, vehicle state data, occupant status) through a unified framework, reducing the need for dedicated specialized components and thereby limiting complexity growth

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system performs preliminary analysis of gesture patterns and pre-establishes safety criteria and thresholds before actual gesture execution. By pre-processing and pre-validating gesture intentions, the system reduces the computational burden during real-time operation and simplifies the decision-making process, maintaining measurement precision while controlling complexity

Inventive Principle:
Principle #10Preliminary action

3Reliability

If safety thresholds and operation level checks are implemented, then reliability is improved, but productivity deteriorates due to additional processing steps

Engineering Contradiction:
Improvevehicle operation safetyVSAvoidgesture response speed
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system pre-establishes safety thresholds, operation level criteria, and decision-making rules before runtime. By preparing safety validation parameters in advance and organizing them for quick access, the system enables rapid safety checks during gesture processing without requiring complex real-time calculations, thus maintaining both reliability and productivity

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements selective safety checking based on gesture context and vehicle state. Not all gestures require full safety validation sequences - the system performs partial validation for low-risk gestures and excessive (full) validation only when necessary, optimizing the balance between safety assurance and response speed

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS12430889B2Distinguishing gesture actions among transport occupants
Publication Date: 2025.09.30 TOYOTA MOTOR NORTH AMERICA INC
  • US12430889B2 patent drawing
  • US12430889B2 patent drawing
  • US12430889B2 patent drawing

AI summary

An example operation includes one or more of detecting a gesture in a transport performed by a transport occupant, determining an occupant status associated with the transport occupant, determining whether the occupant status permits the gesture to be performed, and performing an action associated with the gesture, when the occupant status permits the gesture to be performed.