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
: 21 points per hand to capture finger articulation and "handshape".
: Tracking the shoulders, elbows, and wrists to define the "signing space." 2. Temporal Normalization
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
: 21 points per hand to capture finger articulation and "handshape".
: Tracking the shoulders, elbows, and wrists to define the "signing space." 2. Temporal Normalization