Title :
EEG-Based Synchronized Brain-Computer Interfaces: A Model for Optimizing the Number of Mental Tasks
Author :
Kronegg, Julien ; Chanel, Guillaume ; Voloshynovskiy, Sviatoslav ; Pun, Thierry
Author_Institution :
Comput. Vision & Multimedia Lab., Univ. of Geneva
fDate :
3/1/2007 12:00:00 AM
Abstract :
The information-transfer rate (ITR) is commonly used to assess the performance of brain-computer interfaces (BCIs). Various studies have shown that the optimal number of mental tasks to be used is fairly low, around 3 or 4. We propose an experimental validation as well as a formal approach to demonstrate and confirm that this optimum is user and BCI design dependent. Even if increasing the number of mental tasks to the optimum indeed leads to an increase of the ITR, the gain remains small. This might not justify the added complexity in terms of protocol design
Keywords :
electroencephalography; handicapped aids; EEG; electroencephalography; information transfer rate; mental tasks; optimization; synchronized brain-computer interfaces; Brain computer interfaces; Brain modeling; Computer interfaces; Electroencephalography; Fingers; Keyboards; Protocols; Signal analysis; Vocabulary; Wheelchairs; Brain–computer interface (BCI); classification; electroencephalogram (EEG); information transfer rate; optimal number of mental tasks; Adult; Algorithms; Brain; Cognition; Electroencephalography; Evoked Potentials; Humans; Imagination; Male; Task Performance and Analysis; User-Computer Interface;
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
DOI :
10.1109/TNSRE.2007.891389
