Technical Description
This invention relates to an automated system and method for gesture recognition tailored for complex Indian writing scripts. By mapping hand gestures into dynamically scaled spatial matrices (3x3 right-hand and 1x2 left-hand workspaces) relative to facial keypoints, it combines tracked consonants, vowels, and punctuations to accurately synthesize composite characters through a pre-trained model.
Problems Addressed
- Lacks Fingerspelling Vocabulary
- Inefficient Composite Translation
- Inadequate Geometric Scaling
- Lacks Script Standardization
- Inefficient Localized Mapping
Tech Features
- Enhanced Matrix Tracking
- Efficient Spatial Segregation
- Improved Keypoint Mapping
- Efficient Temporal Parsing
- Higher Script Synthesis
- Efficient Predictive Processing
Target Audience
- Assistive Technology Sectors
- Special Education Industries
- Crowd Management Sectors
- Public Security Industries
- Software Development Sectors
- Research & Development
Tech ID: P02-2067 TRL 6 Patent Status: Granted Available For Exclusive and Non-exclusive License
