Gesture Coordinate Extraction for Low-Bandwidth Sign Language
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Solution Overview
Problem
Existing communication technologies face challenges in providing high-quality video sessions for sign language interpretation over conventional communication pathways, requiring high-bandwidth channels to accurately recognize hand gestures, which is not feasible for hearing-impaired users.
Innovation Solution
A method that captures and transmits coordinate representations of physical gestures at a high-speed frame rate, allowing for the reproduction of sign language without transmitting corollary information like audio or video, thereby reducing bandwidth requirements and enhancing communication quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video sessions are used to communicate sign language, then hand gestures can be visually transmitted, but high-bandwidth channels are required which are not feasible for conventional communication pathways
Solution Approach 1:
The patent extracts only the essential gesture information from full video streams by capturing coordinate representations of hand positions and movements. This extraction process removes corollary information such as audio, color, background motion, and other video data, transmitting only the minimal necessary data points required for accurate sign language recognition, thereby dramatically reducing bandwidth requirements while maintaining gesture recognition accuracy
Solution Approach 2:
The patent creates simplified digital copies of hand gestures in the form of coordinate representations rather than transmitting actual video frames. These coordinate copies capture the essential spatial and temporal information of hand movements sufficient for sign language communication, enabling accurate gesture reproduction at the receiving end with minimal data transmission requirements
2Measurement precision
If high-speed frame rates are used to capture physical gestures, then gesture accuracy is preserved, but data transmission requirements increase
Solution Approach 1:
The patent extracts only the critical coordinate data from high-speed gesture capture, separating essential hand position information from redundant video frame data. By capturing and transmitting only coordinate representations at high frame rates rather than full video streams, the system preserves gesture accuracy while dramatically improving data transmission efficiency
Solution Approach 2:
The patent changes the data representation parameter from full video frames to coordinate representations. This parameter transformation maintains the temporal resolution needed for accurate gesture capture at high frame rates while reducing the data volume to be transmitted, thereby resolving the contradiction between gesture accuracy and transmission efficiency
Data Source
AI summary
Computer-readable media and systems for communicating physical gestures as compressed data streams are provided. In particular, a technique is employed for generating replicated physical gestures on a user-interface display to visibly communicate sign language without transmitting information standard to typical video sessions, such as audio or video frames. In general, the technique entails the following steps: receiving coordinate representations of user-initiated physical gestures (e.g., hand movements); deciphering the received coordinate representations to identify corresponding motion patterns; and conveying the motion patterns to a presentation component for rendering. Rendering involves replicating the physical gestures by providing animations that carry out the motion patterns. The coordinate representations are generally received from a mobile device that captures physical gestures of a sender by employing a position-tracking interface. Upon capturing the physical gestures, the mobile device maps the coordinate representations to the physical gestures and records/transmits the coordinate representations at a high-speed frame rate.