Sign Language Gesture Recognition and Avatar Synthesis
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Solution Overview
Problem
Deaf individuals often face isolation due to the lack of sign language proficiency among hearing people, leading to inefficient communication through handwritten text or pointing, and this barrier extends to electronic communications, making conversations time-consuming and cumbersome.
Innovation Solution
A computer-implemented method that captures sign language gestures using a camera, converts them into text, and transmits this text to another device, where it can be converted back into sign language gestures or speech, enabling seamless communication between sign language users and non-users through a processor and network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If sign language gestures are manually translated to text in real-time, then communication effectiveness between deaf and hearing persons is improved, but the time and effort required for translation increases device and processing complexity
Solution Approach 1:
The patent introduces an intermediary system comprising a camera, image processing unit, and avatar animation system that mediates between the sign language user and the hearing person. The camera captures sign language gestures, the processing unit translates them to text, and the avatar visually represents the translation, creating a seamless communication bridge without requiring manual intervention from either party.
Solution Approach 2:
The patent replaces the mechanical manual process of writing or typing text with an automated optical-mechanical system. The camera optically captures gestures, the processor automatically translates them, and the avatar mechanically animates the translation, substituting the manual mechanical action of writing with an automated system that reduces both time and effort.
2Productivity
If real-time conversion of sign language to text is implemented, then communication speed is improved, but the complexity of the communication device increases
Solution Approach 1:
The patent segments the communication device into distinct functional modules: a camera module for capturing gestures, an image processing module for translating gestures to text, and an avatar animation module for visual representation. This segmentation allows each component to be optimized independently and facilitates easier maintenance and upgrading without requiring complete system replacement.
Solution Approach 2:
The communication device is designed with multi-functionality, serving both deaf users (through sign language capture and avatar display) and hearing users (through text output and speech synthesis). This universal design maximizes the utility of each component, justifying the increased device complexity by delivering proportional benefits in communication speed and versatility across different user groups.
3Loss of time
If sign language gestures are captured and converted automatically, then the time required for communication is reduced, but the precision of gesture recognition may deteriorate
Solution Approach 1:
The patent implements a feedback mechanism where the avatar visually represents the recognized gestures in real-time, providing immediate feedback to the deaf user. This allows the user to verify whether their gestures were correctly interpreted and to make corrections if necessary, thereby maintaining high recognition precision while enabling rapid communication without manual verification delays.
Data Source
AI summary
Implementations enable conversations between operators of communication devices who use sign language and other operators who don't. A method may include receiving images of first sign language gestures captured by a camera of a first communication device, converting the first sign language gestures into first text, transmitting the first text to a second communication device, receiving second text from the second communication device, and converting the second text into images of second sign language gestures made by an avatar. The method may also include operating the camera to capture the images of the first sign language gestures and presenting the images of the second sign language gestures on a display of the first communication device. The method may further include receiving first speech captured at the second communication device, converting the first speech into third text, and then into images of third sign language gestures made by the avatar.