Research on Internet of things control system based on EEG signal

The brain computer interface technology using EEG signals is widely used in the fields of emotion recognition, state monitoring, medical rehabilitation, etc. The brain computer interface technology which "builds a bridge between the human brain and the outside world" fits perfectly with the Internet of things control system. In this paper, the TGAM module is used as the acquisition module, and the EEG signal acquisition system integrating acquisition, transmission and storage is built by using Bluetooth technology and MATLAB; EMD and ICA technologies are selected to construct the noise reduction system in the collected original signals; Based on SVM (support vector machine), EMD algorithm is used to extract data features and build classification system; Finally, based on STM32, Bluetooth technology is used to realize the connection between the upper and lower computers, the lower computers and the controlled objects, and the Internet of things control system based on motion imagination and using brain computer interface technology is realized.