WiTA (Writing in The Air)
Introduced by Kim et al. in Writing in The Air: Unconstrained Text Recognition from Finger Movement Using Spatio-Temporal Convolution
WiTA (Writing in The Air) is a dataset for the challenging writing in the air (WiTA) task -- an elaborate task bridging vision and NLP. The dataset consists of five sub-datasets in two languages (Korean and English) and amounts to 209,926 video instances from 122 participants. Finger movement for WiTA is captured with RGB cameras to ensure wide accessibility and cost-efficiency.
Papers
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