Latasha1_02mp4 Access

: Tracking the shoulders, elbows, and wrists to define the "signing space." 2. Temporal Normalization

The file appears to be a specific clip from the ASL 1000 Dataset , a high-fidelity collection of American Sign Language (ASL) videos designed for research in gesture analysis and sign recognition. latasha1_02mp4

: If you are using raw video instead of just landmarks, extract Optical Flow features to track the motion intensity between frames. 4. Data Format for Training : Tracking the shoulders, elbows, and wrists to

: If "latasha1_02.mp4" has missing frames or variable frame rates, use linear interpolation to fill gaps in the landmark coordinates. 3. Feature Encoding Feature Encoding : Normalize all points relative to

: Normalize all points relative to a "root" point (e.g., the base of the neck or center of the face) to make the features invariant to where the person is standing in the frame.