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Mechanical arm writing device based on electroencephalogram control and control method

A robotic arm and EEG technology, applied in the field of cognitive neuroscience, can solve the problems of expensive, cumbersome EEG acquisition system, and the impossibility of practical application in the family life of patients, so as to reduce the effect of performing wrong tasks

Active Publication Date: 2017-09-29
TIANJIN UNIVERSITY OF TECHNOLOGY
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AI Technical Summary

Problems solved by technology

Therefore, it cannot meet the actual needs of patients with paralysis, amyotrophic lateral sclerosis, stroke, etc. who want to write actual text. At the same time, most EEG acquisition systems have the disadvantages of being bulky and expensive, so they cannot be practically used in the family life of patients.

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  • Mechanical arm writing device based on electroencephalogram control and control method
  • Mechanical arm writing device based on electroencephalogram control and control method
  • Mechanical arm writing device based on electroencephalogram control and control method

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Embodiment Construction

[0060] In order to further understand the invention content, characteristics and effects of the present invention, the following examples are given, and detailed descriptions are as follows in conjunction with the accompanying drawings:

[0061] see Figure 1 to Figure 5 , an EEG-based manipulator writing device for writing English and numbers; a EEG-based manipulator writing system, including an EEG acquisition device worn on the user's brain, in this preferred embodiment The EEG acquisition device is an EEG acquisition cap, which transmits the collected EEG signals to the signal processing device through WiFi. The signal processing device is connected to the serial port circuit through the computer serial port, and the serial port circuit controls the mechanical arm through Bluetooth transmission.

[0062] The EEG acquisition cap collects EEG signals during the user's motor imagery task, teeth clenching task, and steady-state visual evoked task. It is stipulated here that th...

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Abstract

The invention discloses a mechanical arm writing device based on electroencephalogram control and a control method, and relates to the technical field of cognitive neuroscience. The device is characterized by at least comprising electroencephalogram collection equipment, signal processing equipment and a mechanical arm executing the writing action; the signal processing equipment receives collection information of the electroencephalogram collection equipment, and the collection information is subjected to data processing; the specific data processing process sequentially comprises the steps of data filtering, wavelet filtering, feature extraction, classification and classification result conversion; the mechanical arm receives a control command of the signal processing equipment and executes the corresponding command action according to the control command. The mechanical arm writing device and the control method have the advantages of being easy to operate, safe to use, high in anti-noise capacity and good in stability, and a practical and feasible scheme is provided for achieving human-computer interaction.

Description

technical field [0001] The invention relates to the technical field of cognitive neuroscience, in particular to a brain-electrically controlled manipulator writing device and a control method. Background technique [0002] As we all know, for patients with paralysis, amyotrophic lateral sclerosis, stroke, etc., communicating with the external environment has always been a problem. However, with the continuous development of computer technology, clinical rehabilitation technology, psychological technology and sensor technology, brain-computer interface technology is no longer just a fantasy, but a realistic technology. [0003] Most of the existing brain-computer interface systems for communication use the communication on the computer display screen. Therefore, it cannot meet the actual needs of patients with paralysis, amyotrophic lateral sclerosis, and stroke who want to write actual text. At the same time, most EEG acquisition systems have disadvantages such as bulky and...

Claims

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Application Information

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IPC IPC(8): A61B5/0476B25J9/16G06F3/01
CPCA61B5/725A61B5/7264A61B5/369B25J9/1679G06F3/01
Inventor 高强窦立祥于晓陈超
Owner TIANJIN UNIVERSITY OF TECHNOLOGY
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