This study examined whether prefrontal brain region electroencephalography (EEG) can be used to detect driver's fatigue. The participants were 13 healthy university students with driving experience. They collected EEG experiments in a virtual environment, and divided the data into normal state fatigue state. Fuzzy entropy was for feature extraction; SVM as classification tool. FP1 FP2 electrode signal selected from subject's analysis object. When single feature, accuracy of higher than FP2,...

Person authentication is an important part to protect individual privacy in the informational society. With development of electroencephalogram (EEG), it gradually becomes feasible using EEG signals identify person recognition. However, analysis complex, unstable and non-linear. this fact, non-linear such as entropy would be more appropriate. In study, four types entropies are used extract features for purpose authentication, performance based on different compared. self-face non-self-face...

The rapid development of driver fatigue detection technology indicates important significance traffic safety. authors' main goals this Letter are principally three: (i) A middleware architecture, defined as process unit (PU), which can communicate with personal electroencephalography (EEG) node (PEN) and cloud server (CS). PU receives EEG signals from PEN, recognises the state driver, transfer information to CS. CS sends notification messages surrounding vehicles. (ii) An android application...

The issue of educational evaluation has long been a research hotspot. Using big data analysis method to conduct can improve the pertinence and effectiveness education. Conventional Apriori algorithm certain limitations in application evaluation. This paper introduces an improved Apriori-Gen describes its actual ideological political course colleges universities. Through conducting correlation network questionnaire data, study requirements college students be acquired, so as teaching course....

a real-time brain computer interface (BCI) web browser was designed for the motion disabled. By collecting subjects' EEG signal of cerebral cortex, System can analyze it to result as input control browser. Then people visit website through their thinking. The article introduces visual evoked potential-based brain-computer control. type is use fixed-frequency in monitor blinking objects generated steady-state into three signals, and then dedicated information achieve browser's functionality.

A brain computer interface (BCI) is a real-time communication system designed to allow users voluntarily send messages or commands without sending them through the brain's normal output pathways. We BCI auxiliary game platform for motion disabled. Firstly, this digitizes and stores EEG signal, exports results of Signal Analysis on Monitors achieve basic function which playing pc-game human's ideas. COM technology allows has strong scalability meet needs various types solution games....

A system that uses the human ability to control a portable video game device through some electroencephalographic (EEG) rhythms has been presented. The neural signals obtained by EEG recording equipment are sent Web Service technology connection PC processes it in real time and sends wirelessly mobile gaming device. used as wireless for sending vice versa, PDA gets command from though technology, which proposed furthers showing is reliable robust enough work BCI systems. In this study we...

In recent years, with the development of intelligent vehicles, demand for security will be bigger and bigger. One most important solutions is use new biometric technology. At present, there are still some areas to improved on For example, diseases destroy biological characteristics, detection methods too slow, many do not need living detection, so on. Electroencephalogram (EEG) a tool identification. this Letter, kind identity authentication system based EEG signal presented. The overall...

To enhance human interaction with machines, research interest is growing to develop a "Brain-Computer Interface" (BCI), which allows communication of machine only by use brain signals.In this paper, one type application was designed for controlling electric car BCI.The based on flexible software framework.The BCI system can make the disabled control operation cars through movement imaginary.

This article describes the design of a device which can according to characteristics brain waves in different users choose most suitable for user enjoy music, but also automatically adjust volume up accept extent of, all regulatory processes are by system automatic implementation and completion making playing process achieve adaptive.

This article describes the design of a device which can according to different users brain wave characteristics choose most suitable for user air temperature, but also automatically adjust wind speed reached accept degree of, all regulatory processes are by automatic implementation and completion conditioning refrigeration or heating process waves achieve adaptive.

The rapid development of urban transport, while give people more and convenient, have appeared in the traffic pressure is too large cannot be efficient use transport resources.In face very scale travel, It has been target intelligent system which can accurate timely analysis status induced service for travelers to provide quality.This paper introduced concept "big data".The data calculate concentrated database.The graphs Hadoop distributed computing framework flow processing data.The...

With the growing popularity of car, safety and comfort car is becoming more important.By studying driver while driving overall changes in brain waves can analyze different scenarios, weather, chairs, road conditions, influence such variables to it also become a research hotspot currently.In this paper, one type Virtual system was designed for driver's EEG.This composed by virtual driving, EEG acquisition, analysis modules.It be used record under at same time there real-time processing...

In recent years, with the development of intelligent vehicles, demand for security will be more and big. One most important solutions is use new biometric technology. This paper presents an identity authentication system based on electroencephalogram (EEG) signals. The overall goal this research to design a method develop corresponding application. Therefore, we carried out series EEG experiments, analyzed discussed experimental results. Based these results, study algorithm recognizing...