A data collection tool for sketched diagrams
Rachel Blagojevic, Beryl Plimmer, John Grundy, Yong Wang · 2016
Repositories of digital ink sketches would be invaluable for testing and evaluation of sketch recognition software. However, there is no existing tool for flexible data collection and management of digital ink data for building repositories of hand drawn diagrams. We present a tool for the efficient collection, management and analysis of ink data. A resultant dataset records each ink stroke accompanied by participant and diagram information, stroke labels and measurements of various stroke features. This tool enables the effective construction of a large database of sketches to aid the development of recognition techniques.