Title :
A conceptual brain machine interface system
Author :
Byron, O. ; He, J.P. ; Hu, J. ; Si, J.
Author_Institution :
IEEE, Washington, DC, USA
Abstract :
While even a single bit output can impart a great deal of improvement in quality of life to patients, a richer vocabulary could obviously mean an even greater degree of control. This paper discusses ideas about extending previous results of using a support vector machine (SVM) based brain machine interface (BMI) to include multiple directions and magnitudes. It also investigates the number of neurons needed to create an accurate two direction result.
Keywords :
brain; neurophysiology; support vector machines; user interfaces; SVM; conceptual brain machine interface system; neuroprosthesis; support vector machine; Animals; Control systems; Decoding; Light emitting diodes; Lighting control; Neurons; Pressing; Robots; Support vector machines; Vocabulary;
Conference_Titel :
Neural Interface and Control, 2005. Proceedings. 2005 First International Conference on
Print_ISBN :
0-7803-8902-6
DOI :
10.1109/ICNIC.2005.1499838
