Virual Oral Presentation Slide by Slide

IEEE/ICACT20260043 Slide.29        [Big Slide]	Oral Presentation
	Comparing with the State-of-the-Art, the work by Bora et al. (2023) was our closest benchmark. While they also used MediaPipe and FFNN, they were limited to 9 single-handed classes. Our work scaled this up to 36 classes a 4x increase and added support for Two-handed gestures, all while maintaining the same 99% accuracy. This proves that our architecture scales effectively to larger vocabularies.

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