Basic Research of 50-Selective Steady State Visual Evoked Potential Brain-Computer Interface
Author:
Affiliation:
1. Department of Computer Science, Faculty of Information, Kogakuin University
Publisher
Japan Society of Kansei Engineering
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/isase/ISASE2022/0/ISASE2022_1_8/_pdf
Reference4 articles.
1. [1] Xiaogang Chen，Yijun Wang et al.; Hybrid Frequency and a High-Speed SSVEP-Based BCI Speller，2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp26-30, 2014.
2. [2] Hisaya Tanaka and Hiromi Sakata; Measurement of the Characteristics for BCI by SSVEP, proceeding of AHFE, Splingers, Posters, part 1, HCII2013, CCIS373, pp.623-627
3. [3] Xiaogang Chen, Zhikai Chen et al.; A high-ITR SSVEP-based BCI speller Brain Computer Interfaces, Vol.1, pp181-191, 2014.
4. [4] Hidenori Boutani, Mieko Osuka; A Proposal of Discrimination Algorithm for Menu Selection Interface Using Steady-State Visual Evoked Potentials, The Japanese Society for Interpersonal Engineering, Vol.53, No.1, pp.8-15.
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Fifty-selective SSVEP-BCI Speller with CCA;International Journal of Affective Engineering;2023
2. Effort and Issues in Development of High-Frequency Stimulus SSVEP-BCI for Flicker Stress Reduction;Transactions of Japan Society of Kansei Engineering;2023
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