Human Behavior Integration Improves Classification Rates in Real-Time BCI

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 18; no. 4; pp. 362 - 368
• Main Authors: Grychtol, Bartłomiej, Lakany, Heba, Valsan, Gopal, Conway, B. A.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.08.2010; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation model; Aids; Algorithms; Brain - physiology; Brain computer interfaces; Brain-computer interface (BCI); Classification; Computer interfaces; Computer Simulation; Continuous production; Control systems; Control theory; Cues; Data Interpretation, Statistical; Diseases; Electroencephalography; Electromyography; Feedback; Feedback, Physiological - physiology; Human behavior; human-in-the-loop; Humans; Keyboards; motivation; Motors; Psychomotor Performance - physiology; Reaction Time - physiology; Rehabilitation; Usability; User-Computer Interface; Virtual reality; Wheelchairs

Brain-computer interfaces (BCI) offer potential for individuals with a variety of motor and sensory disabilities to interact with their environment, communicate and control mobility aids. Two key factors which affect the performance of a BCI and its usability are the feedback given to the participan...