1. Real-time mobile phone dialing system based on SSVEP
- Author
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Dongsheng Wang, Gaochao Cui, Daishi Watabe, Toshiki Kobayashi, and Jianting Cao
- Subjects
Information transfer ,Computer science ,Interface (computing) ,Speech recognition ,0206 medical engineering ,Information processing ,02 engineering and technology ,020601 biomedical engineering ,Rehabilitation engineering ,03 medical and health sciences ,InformationSystems_MODELSANDPRINCIPLES ,0302 clinical medicine ,Mobile phone ,Human–computer interaction ,Phone ,Finger tapping ,030217 neurology & neurosurgery ,Brain–computer interface - Abstract
Brain computer interface (BCI) systems based on the steady state visual evoked potential (SSVEP) provide higher information transfer rates and require shorter training time than BCI systems using other brain signals. It has been widely used in brain science, rehabilitation engineering, biomedical engineering and intelligent information processing. In this paper, we present a real-time mobile phone dialing system based on SSVEP, and it is more portable than other dialing system because the flashing dial interface is set on a small tablet. With this online BCI system, we can take advantage of this system based on SSVEP to identify the specific frequency on behalf of a number using canonical correlation analysis (CCA) method and dialed out successfully without using any physical movements such as finger tapping. This phone dialing system will be promising to help disable patients to improve the quality of lives.
- Published
- 2017