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 define the "signing space." 2. Temporal Normalization latasha1_02mp4

To "prepare features" for this video in a machine learning or computer vision context, you should focus on extracting . Below is a breakdown of the standard features typically extracted for this specific dataset: 1. Pose and Landmark Extraction To turn raw landmarks into a feature vector

: 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 latasha1_02mp4

: For large-scale training pipelines on AWS or Google Cloud. ASL 1000 - Registry of Open Data on AWS