The MUMTDB dataset for evaluating simultaneous composition of structured documents in a multi-user and multi-touch environment

Zhaoxin Chen (1) , Eric Anquetil (1) , Harold Mouchère (2) , Christian Viard-Gaudin (2)

1 INSA Rennes - Institut National des Sciences Appliquées - Rennes
2 IRCCyN - Institut de Recherche en Communications et en Cybernétique de Nantes

We propose in this paper a new online Multi-User Multi-Touch handwritten diagram DataBase (MUMTDB) for evaluating recognition systems under the multi-user situation. The data is collected according to two predefined mind map scenarios which contains 9 classes of graphical symbols. Each scenario is completed by involving two users at the same time. Since the users are given freedom to draw the symbols as they want, the dataset contains a diversity of multi-stroke and even multi-touch symbols. It allows addressing new challenging problems regarding the recognition of simultaneous composition of structured documents. The dataset is freely available on-line.

Mots clés: multiple users; Multi-touch; handwritten diagram; stroke grouping

Domaines: Informatique [cs]

Zhaoxin Chen, Eric Anquetil, Harold Mouchère, Christian Viard-Gaudin. The MUMTDB dataset for evaluating simultaneous composition of structured documents in a multi-user and multi-touch environment. International Conference on Frontiers in Handwriting Recognition (ICFHR), Oct 2016, Shenzhen, China. ⟨hal-01374376⟩