Abstract: Disclosed is an elastic electroencephalography dry electrode, comprising an electrode base and a plurality of dry electrode units, which are fixedly arranged on the electrode base, wherein each dry electrode unit comprises an elastic supporting element and at least one electrode probe element; one end of the elastic supporting element is fixed to the electrode base, and the other end thereof is connected to the electrode probe element; the electrode probe element is used for being in contact with a scalp to collect an electroencephalography signal; the elastic supporting element is used for transmitting the electroencephalography signal; and the electrode base comprises an electrode substrate element, an electrode unit fixing element and an electrode displacement limiting element. Further disclosed are an electroencephalography device and an application system.

Abstract: Embodiments of this application provide a human-computer interaction method, a human-computer interaction apparatus, and a storage medium. The method includes: displaying a human-computer interface, where the human-computer interface includes an operable object and a visual stimulus region; and executing a first operational command on the operable object, where the first operational command is determined based on a first signal, the first signal is an electroencephalography signal generated when a user gazes at a first region, the first region is one of a plurality of regions around the visual stimulus region, different electroencephalography signals are generated when the user gazes at different regions of the plurality of regions, and the different electroencephalography signals indicate to execute different operational commands related to the operable object.

Abstract: A method for performing spatial filtering and augmenting an electroencephalogram (EEG) signal is provided. A processor constructs a spatial filter based on channel information of the EEG signal. The processor augments the EEG signal with the spatial filter. A related electronic device and a related non-transitory computer-readable storage medium are provided.

Abstract: The present invention provides an asymmetric EEG-based coding and decoding methods for BCIs, the BCI system includes an evoked stimulus module, an acquisition module and an EEG signal data set including a training set Xk and a testing sample Y, and an EEG signal decoding module; the evoked stimulus module sends a hybrid coding visual stimulus to subjects to evoke a specific EEG signal as required; the acquisition module obtains data information by amplifying and filtering the EEG signal so as to constitute EEG signal module; the decoding module coverts the data information into an instruction set for outputting the coding method of the present invention uses asymmetric characteristics of brain electrophysiological activity response to stimulus, combines with coding strategies such as SDMA, CDMA, FDMA and phase division multiple access coding.

Abstract: The present invention provides an asymmetric EEG-based coding and decoding methods for BCIs, the BCI system includes an evoked stimulus module, an acquisition module and an EEG signal data set including a training set Xk and a testing sample Y, and an EEG signal decoding module; the evoked stimulus module sends a hybrid coding visual stimulus to subjects to evoke a specific EEG signal as required; the acquisition module obtains data information by amplifying and filtering the EEG signal so as to constitute EEG signal module; the decoding module coverts the data information into an instruction set for outputting the coding method of the present invention uses asymmetric characteristics of brain electrophysiological activity response to stimulus, combines with coding strategies such as SDMA, CDMA, FDMA and phase division multiple access coding.