Latasha1_02mp4

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

: For easy loading into Python-based models. latasha1_02mp4

To turn raw landmarks into a feature vector for a model (like a Transformer or LSTM), apply the following: : Tracking the shoulders, elbows, and wrists to

: 21 points per hand to capture finger articulation and "handshape". : Tracking the shoulders

: Calculate the first and second derivatives of the landmark coordinates to capture the speed and fluidity of the signs.