Video control device based on brain wave and speech recognition and control method thereof

Abstract

The invention provides a video control device based on brain wave and speech recognition and a control method thereof. The device comprises a brain wave module, a speech recognition module, a touch screen video player, a touch screen device and a host computer. The brain wave module comprises a brain wave acquisition sensor and a brain wave signal amplifying processor. The speech recognition module comprises a speaker-independent speech recognition integrated unit and a speaker. The touch screen device comprises a relay group and a contact. The host computer is connected to the brain wave signal amplifying processor and the speaker-independent speech recognition integrated unit. The touch screen device is connected to the host computer and the speaker-independent speech recognition integrated unit. The contact is in contact with a screen of the touch screen video player. Control commands are generated through the host computer and the speech recognition module according to body shakingdiscontinuous signal, concentration and relaxation data of user brain waves. The action process of a real person image in a video is controlled, the concentration and relaxation state speech promptsof a user are randomly played in real time, an immersive simulation of a mixed reality environment is achieved, and the experience is improved.

Description

technical field [0001] The invention belongs to the technical field of electroencephalogram and speech recognition, and in particular relates to a device and a control method for controlling video in cooperation with electroencephalogram and speech recognition. Background technique [0002] With the development of artificial intelligence technology, brain wave data in human daily life has been scientifically applied. When human beings are in physiological activities, the brain produces α, β, θ, δ waves, and when the human body shakes or blinks, the EEG The signal will be affected. Through the collection and processing of EEG signals, EEG data will be formed, and control instructions will be further formed through brain-computer interaction. Speech recognition is an important node of artificial intelligence technology. When it is designed as a recognition signal in the video, it can break through the limitations of game video interaction limited to animation and digital image...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the defect in the prior art that there is no use of brain wave signals to cooperate with voice recognition to control the playback of video, thereby controlling the action process of real-life images, the present invention provides a video control device and its control method based on brain wave and voice recognition

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