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International Conference on Intelligent Robotics and Applications

ICIRA 2016: Intelligent Robotics and Applications pp 110–117Cite as

Advancement in the EEG-Based Chinese Spelling Systems

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9835))

Abstract

EEG-based spelling systems have practical utilities, not only for spelling letters but also for “spelling” commands to control machines, such as robots, directly by analyzing brain signals. In recent years, EEG-based English Speller (EEGES) has been widely studied. However, only a few researches focused on EEG-based Chinese Speller (EEGCS), which is more difficult to be developed than EEGES. This paper introduced the current methods for EEGES, presented the advancement of methods (Shape-based and Phonetic-based) employed in the current EEGCS systems, discussed the existing problems, highlighted the future research direction, and showed that EEGCS would be a promising research field with rapid development in the future.

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Notes

  1. 1.

    The phonetic symbols for a sinogram represent its pronunciation. There are two different Chinese phonetic symbol systems, i.e., Pinyin and Zhuyin, respectively adopted by mainland China and Taiwan. Pinyin symbols are also English letters but with different pronunciations, while Zhuyin symbols use parts of Chinese characters rather than English letters.

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Acknowledgements

This work is supported by the State Foundation for Studying Abroad of China, the National Natural Science Foundation of China (Grant No. 61203336).

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Authors and Affiliations

  1. Department of Cognitive Science, School of Information Science and Engineering, Xiamen University, Xiamen, 361005, Fujian, China

    Minghui Shi, Changle Zhou, Min Jiang, Qingyang Hong, Fei Chao, Weifeng Ren, Dajun Zhou, Tianyu Yang & Xiangqian Liu

  2. Fujian Provincial Key Laboratory of Brain-like Intelligent Systems, Xiamen University, Xiamen, 361005, Fujian, China

    Minghui Shi, Changle Zhou, Min Jiang, Qingyang Hong, Fei Chao, Weifeng Ren, Dajun Zhou, Tianyu Yang & Xiangqian Liu

  3. School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, 710049, Shaanxi, China

    Jun Xie

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  1. Minghui Shi
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  2. Changle Zhou
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  3. Min Jiang
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  4. Qingyang Hong
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Correspondence to Minghui Shi or Changle Zhou .

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Editors and Affiliations

  1. Tokyo Metropolitan University , Tokyo, Japan

    Naoyuki Kubota

  2. Kyushu University , Fukuoka, Japan

    Kazuo Kiguchi

  3. University of Portsmouth , Portsmouth, United Kingdom

    Honghai Liu

  4. Tokyo Metropolitan University , Tokyo, Japan

    Takenori Obo

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Shi, M. et al. (2016). Advancement in the EEG-Based Chinese Spelling Systems. In: Kubota, N., Kiguchi, K., Liu, H., Obo, T. (eds) Intelligent Robotics and Applications. ICIRA 2016. Lecture Notes in Computer Science(), vol 9835. Springer, Cham. https://doi.org/10.1007/978-3-319-43518-3_11

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  • DOI: https://doi.org/10.1007/978-3-319-43518-3_11

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