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- W3009428365 abstract "As the Digital Revolution progresses, it is characterized by a fusion of technologies that is blurring the lines between the physical, digital, and biological spheres. While earlier Industrial revolutions were characterized mainly by advances in technology, the underlying basis for the current innovation lies in communication, connectivity and user centricity. People who suffer from visual, speech and hearing impairment find it difficult to communicate. The aim of this paper is to analyze two neural network methods and compare them based on well- defined criteria obtained from the use case of gesture recognition using neural networks. The paper will broadly cover two neural networks including MobileNet and a traditional neural network." @default.
- W3009428365 created "2020-03-13" @default.
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- W3009428365 date "2019-07-01" @default.
- W3009428365 modified "2023-09-26" @default.
- W3009428365 title "A Study of Neural Network Performance for Gesture Recognition" @default.
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- W3009428365 doi "https://doi.org/10.1109/conecct47791.2019.9012843" @default.
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