Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
34th (2020)
Session ID : 1G5-ES-5-04
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Mobile keyboard error correction based on dynamic touch recognition
QIAOFEI WANG*TING LIGUOLIN CAOGANG QIAOJIANMIN WUTIANHUANG SU
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

Typing on a on-screen keyboard is the key user interaction for communication on mobile devices. Due to the limited screen size, input error happens frequently and error correction is needed to ameliorate the typing experience. In this paper, we improve the error correction framework for QWERTY layout by utilizing the positional information from touch point coordinates. During input process, each key button will obtain a dynamic touchable region based on multiple features. Our experiments show that the proposed method reduces the input cost comparing with existing methods for multiple languages.

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© 2020 The Japanese Society for Artificial Intelligence
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