A brainwave signal measurement and data processing technique for daily life applications

Abstract

A technique for measuring the psychophysiological status of the human and associated applications based on normal brain signals are examined and evaluated. A small single-point dry electrode developed for mobile use can capture brainwave activity from among dense external and internal electrical noise, and subsequently extract targeted frequency components. Continuous measurements during day and night provide a brainwave profile including wake and sleep states that can consistently explain states of human awareness. Statistical evaluation provides psychophysiological state change patterns which can be used to distinguish levels of alertness so as to prevent or avoid hazardous situations. We have taken a typical daily activity, namely, driving a car, to examine the applicability of our proposed method. Test results in terms of brain wave state show that the pattern while driving is changed by specific activity such as when talking on a mobile phone.