Multimodal Sign Language Content Distribution for Expressive Translation
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Solution Overview
Problem
Existing sign language translation methods primarily rely on hand signals, which fail to capture emotional intensity and emphasis, making them inadequate for conveying the full meaning of communication, especially in automated systems.
Innovation Solution
An automated system using machine learning models to enhance sign language by incorporating gestures, body language, and facial expressions, synchronized with audio and video content, to provide a comprehensive translation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If hand signals alone are used for sign language translation, then the translation process is simple and quick, but the emotional intensity and emphasis are lost
Solution Approach 1:
The patent combines multiple physical modes including gestures, body language, postures, and facial expressions into a unified sign language translation system. This merging of multiple communication channels restores emotional intensity and emphasis that hand signals alone cannot convey, while the system integrates these elements through automated processing to maintain feasibility.
Solution Approach 2:
The system creates a virtual or augmented reality representation of a sign language translator that replicates human sign language performance. This digital copy incorporates multiple physical modes and can be synchronized with audio and video content, providing comprehensive translation without requiring actual human translators for every interaction.
2Loss of information
If skilled human sign language translators are used, then emotional intensity and emphasis are captured accurately, but the cost increases significantly
Solution Approach 1:
The system enables automated sign language translation without requiring skilled human translators for each translation task. The automated system processes audio and video content, generates synchronized sign language translations with appropriate emotional expression, and delivers them on-demand, significantly reducing operational costs while maintaining translation quality.
Solution Approach 2:
The patent creates a virtual or augmented reality representation of a sign language translator that replicates human sign language performance. This digital copy incorporates multiple physical modes and can be synchronized with audio and video content, providing comprehensive translation without requiring actual human translators for every interaction.
3Loss of information
If multiple physical modes are incorporated into sign language translation, then communication completeness is improved, but the system complexity increases
Solution Approach 1:
The system divides the sign language translation into separate functional components: audio processing, video analysis, gesture generation, body language synthesis, and synchronization. Each component handles a specific aspect of translation, making the overall complex system manageable and easier to implement through modular architecture.
Solution Approach 2:
The patent combines multiple physical modes including gestures, body language, postures, and facial expressions into a unified sign language translation system. This merging of multiple communication channels restores emotional intensity and emphasis that hand signals alone cannot convey, while the system integrates these elements through automated processing to maintain feasibility.
Data Source
AI summary
A system for distributing sign language enhanced content includes a computing platform having processing hardware and a system memory storing a software code. The processing hardware is configured to execute the software code to receive content including at least one of a sequence of audio frames or a sequence of video frames, perform an analysis of the content, and identify, based on the analysis, a message conveyed by the content. The processing hardware is further configured to execute the software code to generate a sign language translation of the content, the sign language translation including one or more of a gesture, body language, or a facial expression communicating the message conveyed by the content.