Paper Info
Title
The MUMTDB Dataset for Evaluating Simultaneous Composition of Structured Documents in a Multi-user and Multi-touch Environment
Abstract
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.
Year
DOI
Venue
2016
10.1109/ICFHR.2016.0077
2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR)
Keywords
Field
DocType
Multiple users,multi-touch gestur,handwritten diagram,stroke grouping
Data mining,Synchronization,Information retrieval,Computer science,Data acquisition,Handwriting recognition,Mind map,Artificial intelligence,Multi-touch,Machine learning,Multi-user
Conference
ISSN
ISBN
Citations 
2167-6445
978-1-5090-0982-4
0
PageRank 
References 
Authors
0.34
5
4
Name
Order
Citations
PageRank
Zhaoxin Chen111.37
Éric Anquetil2489.94
Harold Mouchère300.34
Christian Viard-Gaudin444446.20