基于稳态视觉诱发电位的脑-机接口无线智能家居系统研究

A Wireless Smart Home System Based on Brain-computer Interface of Steady State Visual Evoked Potential

脑-机接口(BCI)系统是通过脑电(EEG)信号实现人和计算机等设备之间的交流和控制的系统。本文阐述了基于BCI技术的无线智能家居系统的工作原理,利用单片机、LED灯组成视觉刺激器诱发得到稳态视觉诱发电位(SSVEP),再利用在LabVIEW平台上的功率谱变换方法实时处理不同频率刺激下产生的EEG信号,将其转化为不同的指令,由无线射频设备收发控制命令,实现家居设备的实时智能控制。实验结果表明,10名受试者的正确率均达到100%,单个设备的平均控制时间为4s,实现了家居设备的智能控制。

Brain-computer interface （BCI） system is a system that achieves communication and control among humans and computers and other electronic equipment with the electroencephalogram （EEG） signals. This paper describes the working theory of the wireless smart home system based on the BCI technology. We started to get the steady- state visual evoked potential （SSVEP） using the single chip microcomputer and the visual stimulation which com- posed by LED lamp to stimulate human eyes. Then, through building the power spectral transformation on the Lab- VIEW platform, we processed timely those EEG signals under different frequency stimulation so as to transfer them to different instructions. Those instructions could be received by the wireless transceiver equipment to control the household appliances and to achieve the intelligent control towards the specified devices. The experimental results showed that the correct rate for the 10 subjects reached 100%, and the control time of average single device was 4 seconds, thus this design could totally achieve the original purpose of smart home system.