3D Modeling via Multimodal Fusion Without Mouse and Keyboard
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Solution Overview
Problem
Traditional geometric modeling methods require manual interaction with devices like a mouse and keyboard, leading to prolonged modeling times, potential system instability, and a cumbersome experience.
Innovation Solution
A three-dimensional modeling system and method utilizing multimodal fusion, incorporating electroencephalogram, electromyography, eye movement, gesture, and voice sensors to collect and fuse feedback data, enabling automatic modeling without manual device interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual interaction with mouse and keyboard is used for geometric modeling, then the operator can control the modeling process, but the modeling time is prolonged and the operation becomes cumbersome
Solution Approach 1:
The patent replaces mechanical input devices (mouse, keyboard) with a brain-machine interface system that directly translates neural signals into modeling commands. This substitution eliminates the need for manual manipulation of interactive devices, thereby reducing modeling time and improving efficiency while maintaining operator control through intent-based command generation.
Solution Approach 2:
The system enables the operator to control the modeling process through thought alone, allowing the brain to directly serve the modeling function without intermediary manual devices. The neural signals automatically generate and transmit modeling commands, making the operator's intent directly actionable in the digital environment.
2Ease of operation
If complex modeling commands are input through interactive devices, then precise control is achieved, but the operator experiences manipulation fatigue and reduced engagement
Solution Approach 1:
The patent substitutes mechanical manipulation of mouse and keyboard with neural signal-based control. This replacement eliminates the physical energy expenditure associated with hand movements and device manipulation, while preserving precise control through the direct translation of neural intent into modeling commands.
Solution Approach 2:
The operator's brain directly generates and transmits control signals without requiring physical manipulation. The system serves the operator's intent automatically, converting neural patterns into actionable commands without requiring manual energy investment, thereby reducing manipulation fatigue and enhancing engagement.
3Adaptability or versatility
If traditional modeling interface is used, then the system is simple to implement, but the modeling experience becomes boring and less immersive
Solution Approach 1:
The patent replaces conventional mechanical input interfaces with a neural interface system. This substitution fundamentally transforms the interaction experience from manual manipulation to thought-based control, creating a more immersive and engaging modeling experience. The increased system complexity is justified by the significant improvement in adaptability and user engagement.
Data Source
AI summary
Disclosed are a three-dimensional modeling system and modeling method based on multimodal fusion. The method includes: separately collecting feedback data of an electroencephalogram sensor, an electromyography sensor, an eye movement sensor, a gesture sensor, and a voice sensor, conducting multimodal fusion on the feedback data, obtaining multimodal-fused model data, matching the model data with a database instruction, obtaining and analyzing an instruction set, obtaining and identifying a relevant modeling parameter, obtaining a modeling method, automatically conducting modeling according to the modeling method, and obtaining a visual entity model. Through the method of the present disclosure, multi-sense man-machine interaction is combined with traditional geometric modeling, and a complicated modeling command input operation does not require manipulation of interactive devices such as a keyboard and a mouse, such that modeling efficiency is improved, waste of manipulation energy of an operator is reduced, and further modeling experience of the operator is improved.