Smart Phrase Generation for Uniform Digital Manikin Posturing

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Solution Overview

Problem

Existing CAD and CAE systems require laborious manual intervention to determine the posture of digital human models (manikins) in simulations, consuming valuable time and lacking uniformity in results.

Innovation Solution

A system and method that automatically generates a natural language phrase describing the task to be performed by a manikin, determines posture engine inputs, and computes the manikin's posture without human intervention, using hierarchical analysis and mapping to identify grasp and vision targets.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual intervention is used to determine manikin posture, then flexibility and control are improved, but time consumption and labor intensity increase

Engineering Contradiction:
Improvemanual controlVSAvoidtime consumption
Core Design Contradiction:
Ease of operationVSLoss of time

Solution Approach 1:

The system enables self-service automation where the manikin automatically determines its own posture by analyzing environment data, task requirements, and geometric specifications without requiring manual intervention from operators, thereby eliminating time-consuming manual positioning while maintaining operational control

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical/manual system of manually positioning manikin joints with an automated computational system that uses algorithms to calculate optimal postures based on task requirements and environmental constraints, substituting human manual operations with automated digital processing

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If manual intervention is used to determine manikin posture, then adaptability to specific tasks is improved, but uniformity and consistency of results deteriorate

Engineering Contradiction:
Improvetask adaptabilityVSAvoidresult uniformity
Core Design Contradiction:
Adaptability or versatilityVSManufacturing precision

Solution Approach 1:

The system maintains adaptability by dynamically adjusting posture parameters based on task requirements while ensuring uniformity through consistent application of the same automated algorithms and evaluation criteria across all manikin positioning tasks, eliminating variability introduced by manual operations

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The automated system incorporates feedback mechanisms where posture generation is evaluated against task requirements and environmental constraints, with iterative adjustments made to achieve optimal positioning that is both adaptable to specific tasks and uniform in quality across different applications

Inventive Principle:
Principle #23Feedback

3Measurement precision

If complex manual posturing procedures are used, then positioning accuracy is improved, but device complexity and ease of operation worsen

Engineering Contradiction:
Improveposturing accuracyVSAvoidprocedure complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent implements a universal automated posturing system that handles multiple positioning tasks and complex scenarios through a single integrated algorithmic framework, eliminating the need for multiple specialized manual procedures while maintaining high positioning accuracy through comprehensive computational analysis

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

Data Source

PatentUS12554902B2Smart phrase generator to instruct digital manikin action
Publication Date: 2026.02.17 DASSAULT SYSTEMS AMERICAS CORP
  • US12554902B2 patent drawing
  • US12554902B2 patent drawing
  • US12554902B2 patent drawing

AI summary

Embodiments determine manikin posture for simulations of real-world environments. An embodiment automatically generates a phrase by performing a hierarchical analysis using data regarding the real-world environment. According to an embodiment, the generated phrase describes a task, to be simulated, performed by a manikin in an environment. In turn, one or more posture engine inputs are determined based on the generated phrase. The posture for the manikin in a simulation of the manikin performing the task in the environment is then automatically determined based on the determined one or more posture engine inputs.