Approach to the Sign Language Gesture Recognition Framework Based on HamNoSys Analysis

Gesture recognition in sign language can be a useful tool for the study of sign language. The paper proposed the Sign Language gesture recognition framework based on analysis BamNoSys using data from program library OpenPose. Bam-N oSys - transcription system designed for detailed linguistic transcription of manual and non-manual gesture feature. In the framework, a sign word is considered to be a combination of five common sign components: trajectory, axis, hand shape, rotation and orientation, and sign language gesture classification is implemented based on linguistic analysis of BamN oSys. The result of this study will be valuable to carrying out educational or research activity related to the SL as well as related software providers in developing better practice and tools for applied linguistic research.