Idiap Research Institute
Published March 6, 2023 | Version v1
Dataset Restricted

SMILE Swiss German Sign Language Dataset

Creators

  • 1. Idiap Research Institute
  • 2. University of Zürich

Description

Description

The SMILE Swiss German Sign Language Dataset consists of videos, joint coordinates and annotations of 100 isolated signs of a Swiss German Sign Language (Deutschschweizerische Gebärdensprache, DSGS) vocabulary production test. All items were produced multiple times by 16 adult L1 signers and 22 adult L2 learners of DSGS. Associated linguistic transcriptions and annotations are available for second path data of 10 adult L1 signers and 18 adult L2 learners of DSGS.

The dataset has been created in the context of developing an assessment system for lexical signs of DSGS in the SNSF project SMILE.

More precisely, for each participant, the following files are available:

  • Kinect color video (.mp4); 1920x1080 Pixels @ 30 FPS;
  • Kinect Pose Information (.csv); 25 Joints; 3D Joint Coordinates and Angles;
  • OpenPose output (.json); 2D Joint Coordinates and Confidences;
  • iLex annotation files (.xml); linguistic annotations.

 

Reference

If you use this database, please cite the following publication:

Sarah Ebling, Necati Cihan Camgöz, Penny Boyes Braem, Katja Tissi, Sandra Sidler-Miserez, Stephanie Stoll, Simon Hadfield, Tobias Haug, Richard Bowden, Sandrine Tornay, Marzieh Razavi, and Mathew Magimai-Doss. SMILE Swiss German Sign Language Dataset. In Proceedings of the 11th Language Resources and Evaluation Conference (LREC 2018), pages 4221–4229, 2018.

Files

Restricted

The record is publicly accessible, but files are restricted to users with access.

Request access

If you would like to request access to these files, please fill out the form below.

You need to satisfy these conditions in order for this request to be accepted:

Access to the dataset is based on an End-User License Agreement. The use of the dataset is strictly restricted to non-commercial research.

Please provide us the following information about the authorized signatory (MUST hold a permanent position):

  • Full name
  • Name of organization
  • Position / job title
  • Academic / professional email address
  • URL where we can verify the information details

Only academic/professional email addresses from the same organization as the signatory are accepted for the online request. All online requests coming from generic email providers such as gmail will be rejected.

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Additional details

Related works

Is documented by
Conference paper: 10.5281/zenodo.7035024 (DOI)

Funding

SMILE: Scalable Multimodal sign language Technology for sIgn language Learning and assessmEnt CRSII2_160811
Swiss National Science Foundation