Digital Human Calibration Using Standardized Ergonomic Parameters
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Solution Overview
Problem
Existing digital human technologies lack unified standards for controlling and interacting with digital humans, leading to discrepancies between simulated and real human behaviors, and improper data acquisition and processing compromise accuracy and reliability of simulation results.
Innovation Solution
A method and system for calibrating an ergonomic digital human based on a digital standard human, involving data acquisition, analysis, and evaluation of appearance, action, expression, and interaction data to optimize ergonomic calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If digital human simulation is performed without unified calibration standards, then simulation flexibility and platform diversity are maintained, but discrepancies between simulated behaviors and real human behaviors occur, compromising accuracy and reliability
Solution Approach 1:
The patent applies parameter changes by establishing standardized calibration parameters for digital humans, including morphological parameters (body proportions, joint positions), functional parameters (movement ranges, action speeds), and interaction parameters (response times, gesture patterns). These standardized parameters enable accurate calibration across different digital human platforms without requiring complex custom calibration procedures for each system.
Solution Approach 2:
The calibration system is segmented into multiple independent modules: data acquisition module, data processing module, calibration evaluation module, and optimization module. Each module handles specific aspects of the calibration process, allowing the system to manage complexity through functional decomposition while maintaining high measurement precision through specialized processing at each stage.
2Adaptability or versatility
If multiple digital human technology platforms are integrated without standardized calibration, then platform versatility is maintained, but integration difficulties and challenges arise
Solution Approach 1:
The patent implements universality through a standardized calibration framework that can be applied across multiple digital human technology platforms. The calibration standards define universal parameters and evaluation criteria that work consistently regardless of the underlying platform, enabling the same calibration methodology to serve multiple platforms simultaneously and facilitating easy integration between different systems.
3Reliability
If digital human data acquisition and processing methods are not properly standardized, then implementation flexibility is maintained, but accuracy and reliability of simulation results are compromised
Solution Approach 1:
The patent applies preliminary action by establishing comprehensive calibration standards and procedures before actual digital human simulation operations. The calibration framework pre-defines all necessary parameters, evaluation criteria, and processing methods, so that when simulation operations are performed, they automatically benefit from the pre-established standards without requiring complex real-time decision-making or ad-hoc adjustments.
Data Source
AI summary
Disclosed are a method and system for calibrating an ergonomic digital human based on a digital standard human. By collecting and analyzing appearance data and action data of an ergonomic digital human, the present disclosure makes the ergonomic digital human more life-like in appearance and action. By collecting and analyzing expression data and voice data, the present disclosure enables the digital human to have more authentic expression and voice and express various emotional states more accurately, thereby enhancing emotional communication and interaction with the user. By collecting and analyzing interaction data, the present disclosure improves interaction accuracy and response speed of the ergonomic digital human. By optimizing ergonomic calibration of the ergonomic digital human, the present disclosure improves action accuracy when the ergonomic digital human executes an interaction task and reduces an error rate of interaction, such that a better user experience is available in different interaction scenarios.