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- W2940209620 abstract "this article is aimed at illustrating the approach of detecting and recognizing Kazakh Sign Language static gestures without using expensive depth cameras or sensor gloves. For this research a simple RGB mono camera had been used. The main distinguishing feature of our approach is that, unlike most of the existing approaches, it performs hand detection and gesture recognition jointly, i.e. at the very moment when the shape of a static gesture is detected its specific label is automatically recognized. The approach was tested on a range of datasets, and encouraging results were achieved." @default.
- W2940209620 created "2019-04-25" @default.
- W2940209620 creator A5035285730 @default.
- W2940209620 date "2017-09-01" @default.
- W2940209620 modified "2023-09-24" @default.
- W2940209620 title "Sign Language Static Gestures Recognition Tool Prototype" @default.
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- W2940209620 doi "https://doi.org/10.1109/icaict.2017.8687032" @default.
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