Design of differential Near-Infrared Spectroscopy based Brain Machine Interface

Abstract

Near-infrared spectroscopy (NIRS) is a non-invasive technology for measuring brain activity. Recently, the number of research papers on brain machine interface (BMI) based on NIRS technology is increasing. NIRS is a safe and convenient technique but its measurement results are unstable. To improve reliability of NIRS-based BMI, methods to extract stable data from NIRS signals are necessary. This paper describes a reliable NIRS-based BMI system we have developed. The feasibility of the method was demonstrated through generating motion of a humanoid robot.