OpenPose in the Public DGS Corpus

Project Note AP06-2019-01


Latest version: DOI

Version 1: DOI


One part of the second major release of the Public DGS Corpus is the addition of pose recognition data for all front-facing video recordings. It provides users with explicit machine-readable information on the location of various body parts, such as hands, shoulders, nose, ears, individual finger joints etc. Pose information was generated automatically using OpenPose

Marc Schulder
Research Associate in Computational Linguistics

My research interests include natural language processing, sign languages and sentiment analysis.