title: A hybrid brain-computer interface-based mail client.
abstract: Brain-computer interface-based communication plays an important role in brain-computer interface (BCI) applications; electronic mail is one of the most common communication tools. In this study, we propose a hybrid BCI-based mail client that implements electronic mail communication by means of real-time classification of multimodal features extracted from scalp electroencephalography (EEG). With this BCI mail client, users can receive, read, write, and attach files to their mail. Using a BCI mouse that utilizes hybrid brain signals, that is, motor imagery and P300 potential, the user can select and activate the function keys and links on the mail client graphical user interface (GUI). An adaptive P300 speller is employed for text input. The system has been tested with 6 subjects, and the experimental results validate the efficacy of the proposed method.
authors.affiliation: School of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China.
authors.forename: Tianyou
authors.initials: T
authors.lastname: Yu
authors.forename: Yuanqing
authors.initials: Y
authors.lastname: Li
authors.forename: Jinyi
authors.initials: J
authors.lastname: Long
authors.forename: Feng
authors.initials: F
authors.lastname: Li
mesh_terms: D000328:Adult; D062207:Brain-Computer Interfaces / Q000706:statistics & numerical data; D019295:Computational Biology; D004569:Electroencephalography / Q000706:statistics & numerical data; D034742:Electronic Mail; D018913:Event-Related Potentials, P300 / Q000502:physiology; D006801:Humans; D055815:Young Adult