Research On Multi-channel Interactive Control Technology Based On EEG And Eye Movement

In recent years,with the rapid development of artificial intelligence technology,new human-computer interaction technologies including brain-computer interface technology and eye tracking technology have become no stranger to the public.The rapid development of science and technology has also brought new vitality to intelligent human-computer interaction technology.From the initial application in the medical and scientific fields to the later military applications to the recent civilian use,the brain-computer interface technology and eye tracking technology have become more and more in-depth in all aspects of people’s lives.This article first introduced the EEG TGAM development kit conceptually,including the TGAM hardware,the technical features of its built-in ASIC chip,and the general steps of the TGAM recognition processing and the data types it handles.An overview of the hardware and software used for the eye tracker is provided.Finally,the unmanned platform is briefly introduced.Since the core of the unmanned platform used in this article is the Arduino development platform,the introduction focuses on the introduction of the Arduino development platform.It mainly includes the hardware features of the Arduino development board and Arduino IDE software development.surroundings.The unmanned platform motion control system based on EEG contains the relationship between the four modules.The content mainly includes the introduction of TGAM EEG recognition module for the collection and identification of EEG data,and a series of analysis and data processing through the esense algorithm,and conducts in-depth research on the communication protocol and related communication module of Neurosky’s TGAM module.Learn about the practical application of the Bluetooth serial port connection and receiving data stream.Finally,the Arduino side uses the esense algorithm to extract the attention parameter to adjust the PWM so as to realize the basic motion control for a small-scale ground unmanned platform.The eye movement-free unmanned platform motion control system includes four modules:eye movement information acquisition and extraction module,eye movement information intention judgment module,communication module and Arduino control module.Which focuses on the eye movement information coordinate point extraction and eye movement information intention to determine the specific implementation.The extraction of eye-movement gaze point coordinates needs to use the iViewNG API in the SDK software development kit to use the interface functions and complete the information exchange.The implementation of eye movement information intention judgment depends on the definition of related control semantics based on location information(front,rear,left and right).Finally,the control signal corresponding to the control end is defined under the Arduino(Control signal parameter needs and intent judgment module defines the control Semantic parameters correspond)and the basic motion control for a small ground unmanned platform is achieved.Finally,based on the study of the motion control system based on EEG and the motion control system based on eye movement,the experimental verification of two-system cooperative control(one-person multi-machine)is carried out.The content compares the parallel processing and multi-serial processing mechanisms in multitasking and sets up four experiments based on the related serial processing and parallel processing modes.The sample size for each experiment is 30.The main purpose of the experiment is to calculate the response time of the EEG control system and the eye movement control system under the dual task processing and obtain the corresponding response time difference,analyze and verify the relevant serial processing,parallel processing model and obtain different How to select the serial processing and parallel processing mode in the control scenario will achieve a preliminary conclusion of more stable and efficient control.