The SIGN On-Line Database

Overview

The Synchromedia-Imadoc Gesture New On-Line Database (SIGN-OnDB) contains data corresponding to on-line handwritten gestures. It can be used to train and test gesture recognition systems, used in applications associating specific gestures to edit functions, for example (like copying digital ink elements).
The data was acquired on Tablet PCs and whiteboards.

The gesture set includes 17 different classes. For more information on the data collection protocol, see the corresponding description (file dataset_infos.txt, in the dataset zipfile).

Examples of the 17 gesture classes

The database contains forms of unistroke handwritten gestures, stored in InkML format files. Besides the handwritten data, the files also contain information on the acquisition device, on the writer, and on the transcription. For more information on the stored data, see the data format (file dataset_infos.txt, in the dataset zipfile).

 

Characteristics

The SIGN On-line Database is structured as follows (last update : 04/03/2010):

  • 20 contributed writers;
  • 78 collected forms;
  • 33,150 gesture instances from a 17 gesture dictionary.

 

Download

The on-line data can be downloaded as a zip file containing all the data as well as information files on the data collected.

Click here to download the zipfile.

 

Contact

If you have any questions or suggestions, please contact Solen Quiniou.

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