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- W4387188866 abstract "Past research on sign language recognition has mostly been based on physical information obtained via wearable devices or depth cameras. However, both types of devices are costly and inconvenient to carry, making it difficult to gain widespread acceptance by potential users. This research aims to use sophisticated and recently developed deep learning technology to build a recognition model for a Taiwanese version of sign language, with a limited focus on RGB images for training and recognition. It is hoped that this research, which makes use of lightweight devices such as mobile phones and webcams, will make a significant contribution to the communication needs of deaf and hard-of-hearing (DHH) individuals." @default.
- W4387188866 created "2023-09-30" @default.
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- W4387188866 date "2023-09-13" @default.
- W4387188866 modified "2023-09-30" @default.
- W4387188866 title "Using Mobile Phone to Assist DHH Individuals" @default.
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- W4387188866 doi "https://doi.org/10.5772/intechopen.112886" @default.
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