Pupil electroencephalogram mixed brain-computer interface platform and processing method thereof

Abstract

The invention provides a pupil electroencephalogram mixed brain-computer interface platform and a processing method thereof, and the platform comprises an experiment host which is used for bearing a calculation processing program, an electroencephalogram collection device which is used for collecting electroencephalogram signal data and transmitting and receiving data with the experiment host, andan eye movement collection device which is used for collecting eye movement signal data and achieving data transmission and receiving with the experiment host; A calculation processing program comprises the steps of calibrating the received eye movement signal data, presenting a calibration interface and an image sequence, sending trigger signals to the electroencephalogram acquisition device andthe eye movement acquisition device to achieve synchronization of stimulation and data, summarizing the received electroencephalogram signals and eye movement signal data, carrying out fusion calculation, and then carrying out classification. The platform and the processing method provided by the invention can be universally applied to different use scenes, the reliability and the stability are obviously improved, and the feasibility and the applicability are stronger and wider.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to a pupil brain-electricity hybrid brain-computer interface platform and a processing method thereof. Background technique [0002] Brain-computer interface (BCI) systems offer people with severe muscle disorders a new way to communicate with the outside world. The traditional brain-computer interface only collects one signal from the brain as input, but there are some problems, such as: "BCI blindness", about 15% to 30% of users have difficulty in inducing a strong EEG response signal; using only one EEG signals are used as input, and the information transmission rate is low; it is designed for specific functions, and the functions that can be realized are relatively simple. [0003] At present, there are three main applications of brain-computer interface: [0004] The first type of application is text spelling, and the brain-computer interface based...

AI Technical Summary

Problems solved by technology

However, asynchronous brain-computer interfaces are usually used in long-term monitoring. With the increase of use time, users are prone to fatigue. Wearing the EEG cap for a long time will also cause user discomfort, and the quality of EEG signals will decrease, resulting in brain switch failure. Degraded performance, increased false alarm rate

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