We introduce a new image dataset for Irish Sign Language (ISL) recognition. We filmed human subjects performing ISL hand-shapes and movements, resulting in 468 videos. Then, we extracted frames from the videos. This resulted in a total of 58,114 images for the 23 common hand-shapes from the ISL language. This dataset is a part of our ongoing work on ISL recognition using pattern recognition methods. In addition to the dataset, we report experiments using Principal Component Analysis (PCA) where we reached 95% recognition accuracy.
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Funders:
CAPES/Brazilian Science without Borders, process no.: 9064-13-3, SFI Research Centres Programme (Grant 13/RC/2106), IRC Grant no. GOIPD/2016/61, in part from the EU H2020 Programme grant no. 688099 (Cloud-LSVA), SFI under Grant no. SFI/12/RC/2289 (Insight), European Regional Development Fund
ID Code:
21882
Deposited On:
04 Sep 2017 13:42 by
Houssem Chatbri
. Last Modified 05 Jan 2022 16:48