AI RESEARCH
Evaluation of Pose Estimation Systems for Sign Language Translation
arXiv CS.CL
•
ArXi:2604.24609v1 Announce Type: new Many sign language translation (SLT) systems operate on pose sequences instead of raw video to reduce input dimensionality, improve portability, and partially anonymize signers. The choice of pose estimator is often treated as an implementation detail, with systems defaulting to widely available tools such as MediaPipe Holistic or OpenPose.