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

被引：0
|
作者：
Chen, Zhaoxin [1 ]
Anquetil, Eric [1 ]
Mouchere, Harold [2 ]
Viard-Gaudin, Christian [2 ]
机构：
[1] INSA Rennes, F-35043 Rennes, France
[2] Univ Nantes, IRCCYN, LUNAM, F-44300 Nantes, France
来源：
PROCEEDINGS OF 2016 15TH INTERNATIONAL CONFERENCE ON FRONTIERS IN HANDWRITING RECOGNITION (ICFHR) | 2016年
关键词：
Multiple users; multi-touch gesture; handwritten diagram; stroke grouping;
D O I：
10.1109/ICFHR.2016.72
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：379 / 383
页数：5
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