The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2013
Session ID : 1P1-B04
Conference information
1P1-B04 Design of Brain Machine Interface using potable Near-InfraRed Spectroscopy system : Effect of additional learning based on automatic growth of node(Neurorobotics & Cognitive Robotics)
Tomotaka ITOHideki AKIYAMATokihisa HIRANO
Author information
CONFERENCE PROCEEDINGS FREE ACCESS

Details
Abstract
Recently, Brain-Machine Interface (BMI) system is focused in robotics and medical science. In this research, we aim to design a BMI system using Near-InfraRed Spectroscopy (NIRS) which measures brain blood flow change. This time, we discuss a method of classifying thought with potable NIRS system in the living environment. In this paper, we discuss a method to increase classification performance in the living environment.
Content from these authors
© 2013 The Japan Society of Mechanical Engineers
Previous article Next article
feedback
Top