Research Article
Multi-touch Gesture Recognition of Braille Input Based on RBF Net
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@INPROCEEDINGS{10.1007/978-3-030-51103-6_35, author={Zhang Juxiao and Zeng Xiaoqin and Zhu Zhaosong}, title={Multi-touch Gesture Recognition of Braille Input Based on RBF Net}, proceedings={Multimedia Technology and Enhanced Learning. Second EAI International Conference, ICMTEL 2020, Leicester, UK, April 10-11, 2020, Proceedings, Part II}, proceedings_a={ICMTEL PART 2}, year={2020}, month={7}, keywords={Input method of braille RBF net Multiple touch gesture recognition}, doi={10.1007/978-3-030-51103-6_35} }- Zhang Juxiao
Zeng Xiaoqin
Zhu Zhaosong
Year: 2020
Multi-touch Gesture Recognition of Braille Input Based on RBF Net
ICMTEL PART 2
Springer
DOI: 10.1007/978-3-030-51103-6_35
Abstract
One challenging task for the blind is to input Braille while by no way could they sense the location information on touch screens. The existing Braille input methods are suffering from problems including inaccurate positioning and lack of interactive prompts. In this paper, touch gestures are recognized by trained RBF network while combined gestures are modelled. By doing so, the Braille input concerning multi-touch gesture recognition is then implemented. The experimental results show that the method is effective and blind people can friendly input Braille with almost real-time interaction.
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