Design of brain machine interface using portable Near-InfraRed Spectroscopy

Author

Ito, Takao ; Hirano, Takuichi ; Mitsui, Yoshifuru ; Akiyama, Hidenori ; Ohgi, S. ; Mizuike, C.

Author_Institution

Dept. of Mech. Eng., Shizuoka Univ., Hamamatsu, Japan

fYear

2012

fDate

4-7 Nov. 2012

Firstpage

415

Lastpage

420

Abstract

In recent years, robotics and medical sciences have focused on a new input interface, “the Brain-Machine Interface (BMI).” This measures human cerebral activities and uses them directly as an input signal to instruments, machines, robots, etc. In this research, we aim to design a practical BMI system using a portable Near-InfraRed Spectroscopy (NIRS) device that can be used reliably in the living environment. In this paper, we will discuss a method to improve the classification performance of human cerebral activities in the living environment. The influence of daily living activities and the effect of the image evoking training and the additional learning are investigated experimentally.

Keywords

biomedical optical imaging; brain; brain-computer interfaces; image classification; infrared spectroscopy; learning (artificial intelligence); medical image processing; neurophysiology; portable instruments; BMI system; NIRS device; brain machine interface design; classification performance; human cerebral activities; image evoking training; living activities; living environment; medical sciences; portable near-infrared spectroscopy device; robotics;

fLanguage

English

Publisher

ieee

Conference_Titel

Micro-NanoMechatronics and Human Science (MHS), 2012 International Symposium on

Conference_Location

Nagoya

Print_ISBN

978-1-4673-4811-9

Type

conf

DOI

10.1109/MHS.2012.6492481

Filename

6492481