: Detailed mesh points to capture "non-manual markers" (facial expressions essential for ASL grammar).
: If "latasha1_02.mp4" has missing frames or variable frame rates, use linear interpolation to fill gaps in the landmark coordinates. 3. Feature Encoding
: Calculate the first and second derivatives of the landmark coordinates to capture the speed and fluidity of the signs.
: Tracking the shoulders, elbows, and wrists to define the "signing space." 2. Temporal Normalization
: For large-scale training pipelines on AWS or Google Cloud. ASL 1000 - Registry of Open Data on AWS