CN216210567U - Wireless transmission brain-computer interaction remote control system - Google Patents
Wireless transmission brain-computer interaction remote control system Download PDFInfo
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- CN216210567U CN216210567U CN202122372831.XU CN202122372831U CN216210567U CN 216210567 U CN216210567 U CN 216210567U CN 202122372831 U CN202122372831 U CN 202122372831U CN 216210567 U CN216210567 U CN 216210567U
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Abstract
The utility model discloses a wireless transmission brain-computer interaction remote control system, which comprises: the system comprises a perception feedback module, a collection terminal, a data processing module and a remote control module, wherein the collection terminal comprises a wireless transmission module and an electroencephalogram signal collection device, the output end of the perception feedback module is connected with the input end of the wireless transmission module through the electroencephalogram signal collection device, the output end of the wireless transmission module is connected with the input end of the perception feedback module, and the data processing module and the remote control module are respectively in two-way connection with the wireless transmission module. The electroencephalogram signal processing and identification framework is completed through one electroencephalogram signal acquisition device and the data processing module of the remote end, information data interaction of the system framework is achieved through the wireless transmission module, on one hand, the cost of the electroencephalogram signal control remote system of the using end can be reduced, on the other hand, the flexibility of the electroencephalogram signal application to the remote control system is improved, and the electroencephalogram signal processing and identification system can be widely applied to the technical field of remote control.
Description
Technical Field
The utility model relates to the technical field of remote control, in particular to a wireless transmission brain-computer interaction remote control system.
Background
Brain-computer interaction is an important means for transferring and exchanging information between human and computer and machine. The brain-computer interaction technology can convert human brain signals into control signals of external equipment through a series of data processing without the participation of peripheral nervous system or muscular tissues. In recent years, with the development of communication technology, brain-computer interaction remote control technology has received great attention.
However, the control system based on brain-computer interaction is still limited to the traditional data processing mode, and cannot flexibly process data, so that the remote control command cannot be well executed.
SUMMERY OF THE UTILITY MODEL
In view of this, the embodiment of the present invention provides a flexible and efficient wireless transmission brain-computer interaction remote control system.
The embodiment of the utility model provides a wireless transmission brain-computer interaction remote control system, which comprises: perception feedback module, collection terminal, data processing module and remote control module, collection terminal includes wireless transmission module and EEG signal collection system, the output of perception feedback module passes through EEG signal collection system with wireless transmission module's input is connected, wireless transmission module's output with the input of perception feedback module is connected, data processing module with remote control module respectively with wireless transmission module both way junction.
Optionally, the perception feedback module comprises an auditory feedback unit, a visual feedback unit and a tactile feedback unit, and an output end of the visual feedback unit is connected with an input end of the electroencephalogram signal acquisition device.
Optionally, the wireless transmission module includes a WiFi communication unit, a LoRA communication unit, and a 5G communication unit.
Optionally, the remote control module comprises a robot arm direction control unit, a trolley motion control unit and a character behavior control unit in the virtual environment.
Optionally, the electroencephalogram signal acquisition device comprises an acquisition multi-channel electrode, an instrument amplifier, a band-pass filter, an AD converter and a main control module.
Optionally, the electroencephalogram signal acquisition device is connected with the input end of the wireless transmission module through the output end of the main control module.
Optionally, the collecting multi-channel electrode comprises a first collecting electrode, a second collecting electrode and a third collecting electrode, the instrumentation amplifier comprises a first instrumentation amplifier, a second instrumentation amplifier and a third instrumentation amplifier, the band-pass filter comprises a first band-pass filter, a second band-pass filter and a third band-pass filter, the first input end of the first instrumentation amplifier and the second input end of the third instrumentation amplifier are both connected with the output end of the first collecting electrode, the second input end of the first instrumentation amplifier and the first input end of the second instrumentation amplifier are both connected with the output end of the second collecting electrode, the second input end of the second instrumentation amplifier and the first input end of the third instrumentation amplifier are both connected with the output end of the third collecting electrode, the output end of the first instrumentation amplifier is connected with the input end of the first band-pass filter, the output of second instrumentation amplifier with the input of second band pass filter is connected, the output of third instrumentation amplifier with the input of third band pass filter is connected, the output of first band pass filter the output of second band pass filter with the output of third band pass filter all with the input of AD converter is connected, the output of AD converter with host system's input is connected.
Optionally, the electroencephalogram signal acquisition device further comprises a right leg driving circuit, the output ends of the first acquisition electrode, the second acquisition electrode and the third acquisition electrode are connected with one end of the right leg driving circuit, and the other end of the right leg driving circuit is connected with an earlobe of a human body.
The utility model has the beneficial effects that: the electroencephalogram signal processing and identification framework is completed through one electroencephalogram signal acquisition device and the data processing module of the remote end, information data interaction of the system framework is achieved through the wireless transmission module, on one hand, the cost of the electroencephalogram signal control remote system of the using end can be reduced, on the other hand, the flexibility of the electroencephalogram signal application to the remote control system is improved, and the electroencephalogram signal processing and identification system can be widely applied to the technical field of remote control.
Drawings
Fig. 1 is a schematic structural diagram of a wireless transmission brain-computer interaction remote control system according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a connection relationship between a circuit of the electroencephalogram acquisition device and a human body according to the embodiment of the present invention.
Detailed Description
Referring to fig. 1, an embodiment of the present invention provides a wireless transmission brain-computer interaction remote control system, including: the system comprises a perception feedback module, a collection terminal, a data processing module and a remote control module, wherein the collection terminal comprises a wireless transmission module and an electroencephalogram signal collection device, the output end of the perception feedback module is connected with the input end of the wireless transmission module through the electroencephalogram signal collection device, the output end of the wireless transmission module is connected with the input end of the perception feedback module, and the data processing module and the remote control module are respectively in two-way connection with the wireless transmission module.
Specifically, the wireless transmission brain-computer interaction remote control system of the utility model acquires the electroencephalogram signal of the motor imagery of the human body by sensing the feedback signal of the feedback module through the electroencephalogram signal acquisition device, then the electroencephalogram signal is uploaded to the remote data processing module through the wireless transmission module, the remote data processing module processes and identifies the electroencephalogram signal, and the processed and identified electroencephalogram signal is sent to the remote control module through the wireless transmission network, so that the remote control module triggers a control command of a corresponding function according to the processed and identified electroencephalogram signal. The utility model is to protect the composition and corresponding connection relationship of each module in the wireless transmission brain-computer interaction remote control system, and the signal data processing process is not the content to be protected by the utility model and is only exemplified.
It should be noted that the data processing module is a server, and the server is one of computers, and it runs faster and has higher load than a normal computer. The server provides calculation or application services for other clients (such as terminals like PC, smart phone, ATM and the like and even large equipment like train systems and the like) in the network. Some embodiments of the utility model combine a remote deep learning server by designing the server with the operating system of Ubuntu 18.04LTS, the processor of intel to strong extensible series 5220, the memory of 128GB (8x16GB) DDR4, and one m.2 1TB solid state drive, one SATA 4TB hard drive.
In some embodiments, the perception feedback module comprises an auditory feedback unit, a visual feedback unit and a tactile feedback unit, and the output end of the visual feedback unit is connected with the input end of the electroencephalogram signal acquisition device.
Specifically, the visual feedback comprises a P300 visual evoked potential, a steady-state visual evoked potential (SSVEP) and a Motor Image (MI), the motor image electroencephalogram signals in the visual feedback are selected, the electroencephalogram signal acquisition device is used for acquiring the motor image electroencephalogram signals in the human visual feedback, and the acquired electroencephalogram data are transmitted to the remote data processing module in a wireless transmission mode, so that accurate remote control commands can be flexibly obtained.
It should be noted that the motor imagery paradigm can enable an event-related desynchronization (ERD) phenomenon and an event-related synchronization (ERS) phenomenon to occur in the relevant areas of the motor cortex of the brain. The cerebrum is composed of left and right hemispheres which are connected by a corpus callosum, each cerebral hemisphere is divided into five cerebral anatomical subareas of frontal lobe, central lobe, parietal lobe, occipital lobe and temporal lobe by a plurality of deeper sulci, and the related areas of the cerebral motor cortex refer to the frontal area, the temporal area and the central area. In addition, the principle that the cerebral motor cortex controls limb movement is bilateral symmetry and upside down, wherein ERD is embodied in that when a person performs related unilateral hand motor imagery or prepares unilateral hand movement, the energy of the mu rhythm (8-12 Hz) and the beta wave (16-31 Hz) of the contralateral area of the cerebral cortex is reduced, and conversely, after the person enters a rest state or imagination movement is finished, the related brain electrical activity of the area is weakened, so that the phenomenon that the energy corresponding to the perception motor rhythm is increased is ERS. For example, when a hand is moving, ERD will appear in the corresponding cortical area of the hand first, and gradually spread to the left and right sides of the brain as the movement is completed. After the action is finished, ERD disappears, and then the ERS phenomenon of beta wave appears, which is considered as the rebound process of the beta wave after ERD occurs in the mu rhythm.
In some embodiments, the wireless transmission module includes a WiFi communication unit, a LoRA communication unit, and a 5G communication unit.
Specifically, the WiFi communication unit is an ESP8266 chip, the LoRA communication unit is an SX1262 chip, the 5G communication unit is a fifth-generation mobile communication technology, information interaction among all devices and modules is realized by utilizing a wireless communication technical mode based on all communication units of a wireless transmission module, and technical support is provided for the technical scheme that electroencephalogram signal processing and identification framework are completed by matching an electroencephalogram signal acquisition device and a remote-end existing data processing module (a deep learning server). In the embodiment of the utility model, the wireless transmission mode is flexibly switched according to the use scenes of the electroencephalogram signal acquisition device and the server and the distance between the electroencephalogram signal acquisition device and the server.
It should be noted that, the WiFi module in the wireless transmission module is also called as a serial WiFi module, and the function is to convert the serial or TTL level into an embedded module that conforms to the Wi-Fi wireless network communication standard, and conforms to the IEEE802.11 protocol stack network standard, and a user can transmit own data through the Internet network, and general WiFi can reach 20 meters without being blocked by a wall. Under the condition that the distance between the electroencephalogram signal acquisition device and the server of the data processing module is short, the electroencephalogram signal acquired by the electroencephalogram signal acquisition device is wirelessly transmitted to the server at the other end for data processing through WiFi communication of an ESP8266 chip. LoRa (Long Range) is a long-distance wireless communication module based on LPWAN, supports the LORAWAN standard protocol, and can achieve two-way communication of serial port data transmission, and can achieve 2-5km in towns with wall shelters and can achieve 15km in suburbs without wall shelters or with a small number of wall shelters. Under the condition that the electroencephalogram signal acquisition device is a certain distance away from a server of the data processing module, the electroencephalogram signal acquired by the electroencephalogram signal acquisition device is wirelessly transmitted to the server at the other end for data processing through LoRa communication of an SX1262 chip. The 5G (5th Generation Mobile Communication Technology, fifth Generation Mobile Communication Technology) is a new Generation broadband Mobile Communication Technology with high speed, low latency and large connection characteristics, and its network structure, network capability and requirements are very different from the past, and 5G adopts a waveform and multiple access Technology based on OFDM, and OFDM can implement waveform post-processing, such as time domain windowing or frequency domain filtering, to improve the efficiency of multipath transmission, and can implement high-speed data transmission under the condition of 5G network coverage. When the distance between the electroencephalogram signal acquisition device and the server of the data processing module is long, no WiFi or LoRA can be used for communication, but under the condition of 5G cellular network coverage, the electroencephalogram signal acquired by the electroencephalogram signal acquisition device is wirelessly transmitted to the server at the other end through 5G communication for data processing. Through the flexible switching of the wireless communication modes, the efficient and flexible control effect is achieved on the wireless transmission remote control system. In some embodiments, the data processing module and the remote control module also include a WiFi communication unit, a LoRA communication unit and a 5G communication unit, which are used to implement a wireless transmission function, that is, the data processing module and the remote control module implement wireless communication with the wireless transmission module of the acquisition terminal through the communication unit, and then implement signal transmission with the acquisition terminal, and meanwhile, the data processing module and the remote control module can directly implement signal transmission through the communication unit.
In some embodiments, the remote control module includes a robot arm orientation control unit, a cart motion control unit, and a character behavior control unit in the virtual environment.
Specifically, the remote control module can realize control means such as control of the direction of the mechanical arm, control of movement of the trolley, control of character behaviors in a virtual environment and the like according to the received remote control command, and the remote control module can be widely applied to the fields of production, transportation, entertainment and the like through the control means.
In some embodiments, the electroencephalogram signal acquisition device comprises an acquisition multi-channel electrode, an instrumentation amplifier, a band-pass filter, an AD converter and a main control module.
Specifically, the instrumentation amplifier is used for amplifying the electroencephalogram signals, so that subsequent acquisition and identification are facilitated, and an INA2126 instrumentation amplifier can be adopted; the band-pass filter (band-pass filter) refers to a filter which can pass frequency components in a certain frequency range, but can attenuate frequency components in other ranges to an extremely low level, and some embodiments respectively design a second-order high-pass filter and a fourth-order low-pass filter through two TLV4333(TI) operational amplifiers so as to form the band-pass filter, wherein the frequency range of the frequency components which can be passed by the band-pass filter is 0.5HZ to 100 HZ; an AD Converter (Analog to Digital Converter) refers to an electronic element for converting an Analog signal into a Digital signal, an ADS1299 Analog-to-Digital Converter is internally provided with a programmable gain amplifier and a 24-bit high-precision triangular integral ADC, has the characteristics of extremely low input reference noise of 1.0 mu VPP, CMRR of-110 d B, small size and low power consumption, and meets the common functions required by electroencephalogram acquisition application, and in some embodiments, the ADS1299 Analog-to-Digital Converter is used as the AD Converter to convert the acquired Analog electroencephalogram signal displayed by a waveform into a Digital electroencephalogram signal with the sampling frequency of 250 Hz; the LPC2144 ARM microprocessor is packaged by an ultra-small LQFP64, the power consumption is very low, and the maximum working frequency is 260 MHz. In some embodiments, the LPC2144 processor is used as a main control module, so that the number of external controllers is reduced, the reliability of the wireless transmission brain-computer interaction remote control system is improved, and the cost of electroencephalogram acquisition is reduced.
In some embodiments, the electroencephalogram signal acquisition device is connected with the input end of the wireless transmission module through the output end of the main control module.
Specifically, the electroencephalogram signal acquisition device transmits information in a wireless transmission mode through a main control module and a data processing module in the electroencephalogram signal acquisition device.
Referring to fig. 2, in some embodiments, the collecting multi-channel electrode comprises a first collecting electrode, a second collecting electrode, and a third collecting electrode, the instrumentation amplifier comprises a first instrumentation amplifier, a second instrumentation amplifier, and a third instrumentation amplifier, the band pass filters comprise a first band pass filter, a second band pass filter, and a third band pass filter, a first input of the first instrumentation amplifier and a second input of the third instrumentation amplifier are both connected to an output of the first collecting electrode, a second input of the first instrumentation amplifier and a first input of the second instrumentation amplifier are both connected to an output of the second collecting electrode, a second input of the second instrumentation amplifier and a first input of the third instrumentation amplifier are both connected to an output of the third collecting electrode, an output of the first instrumentation amplifier is connected to an input of the first band pass filter, the output end of the second instrumentation amplifier is connected with the input end of the second band-pass filter, the output end of the third instrumentation amplifier is connected with the input end of the third band-pass filter, the output end of the first band-pass filter, the output end of the second band-pass filter and the output end of the third band-pass filter are connected with the input end of the AD converter, and the output end of the AD converter is connected with the input end of the main control module.
Referring to fig. 2, in some embodiments, the electroencephalogram signal acquisition device further includes a right leg driving circuit, the output end of the first acquisition electrode, the output end of the second acquisition electrode, and the output end of the third acquisition electrode are all connected with one end of the right leg driving circuit, and the other end of the right leg driving circuit is connected with an earlobe of a human body.
It should be noted that the motor cortex, which generates the corresponding response by motor imagery, refers to the central area of the brain corresponding to the electrode placement position of the international 10-20 standard, namely the scalp positions measured by the first collecting electrode (C3), the second collecting electrode (C4) and the third collecting electrode (reference electrode). The reference electrode is on the right ear lobe, and C3, C4 are located to the left and right of the motor cortex, respectively. In some embodiments, the electrode channel for measuring the left-right hand motor imagery electroencephalogram signal selects three channels of C3, C4 and a reference electrode, and the electroencephalogram signal is acquired by detecting the voltage difference between C3 and C4 and the reference electrode respectively. The third collecting electrode is used for being connected with the right ear lobe of a human body, and the right leg driving circuit mainly has the effects of reducing common mode interference and improving the signal-to-noise ratio of the system. Common-mode signals of all channels of electroencephalogram signals are uniformly superposed and are connected into an anti-phase emitter-follower, and the anti-phase signals are fed back to the body of a brain-controlled person to be collected to form a negative feedback loop of the common-mode signals, so that power frequency interference of human body coupling is reduced, and the common-mode rejection ratio of the system is improved. In some embodiments, the influence of alternating current on human electroencephalogram signals can be reduced through the arrangement of the right leg driving circuit, so that the accuracy of electroencephalogram signal acquisition is further improved. The right leg driving circuit may be connected to the right leg of the person whose electroencephalogram is to be acquired, but is preferably connected to the earlobe of the human body.
In summary, the wireless transmission brain-computer interaction remote control system of the present invention includes: perception feedback module, collection terminal, data processing module and remote control module, collection terminal includes wireless transmission module and EEG signal collection system, EEG signal collection system is including gathering multichannel electrode, instrumentation amplifier, band pass filter, AD converter and host system, wireless transmission module includes LoRA communication unit, 5G communication unit and wiFi communication unit, remote control module includes arm direction control unit, the personage action the control unit in dolly motion control unit and the virtual environment. The brain electrical signal acquisition device is used for acquiring motor imagery brain electrical signals of a human body through a visual feedback unit in a perception feedback module, then the brain electrical signals are amplified through an instrument amplifier, then the brain electrical signals in a preset frequency range are transmitted to an AD converter through a band-pass filter, the AD converter is used for carrying out analog-to-digital conversion on the brain electrical signals, namely analog brain electrical signals acquired by electrodes are converted into digital brain electrical signals capable of being processed by an algorithm, the digital brain electrical signals are transmitted to a main control module for short-time storage, then the digital brain electrical signals are uploaded to a remote data processing module in a wireless transmission mode of LoRA, WiFi or 5G, the remote data processing module processes and identifies the brain electrical signals, the processed and identified brain electrical signals are transmitted to a remote control module through a wireless transmission network, so that the remote control module triggers control commands of corresponding functions according to the processed and identified brain electrical signals, including commands for the respective functions of directional control of the robotic arms, motion control of the cart, and character behavioral control in the virtual environment. The electroencephalogram signal processing and identifying framework is completed by matching one electroencephalogram signal acquisition device and another existing data processing module at a remote end, namely a server. The method can flexibly transmit the acquired electroencephalogram data to a remote server for processing as long as wireless communication between the data can be carried out anywhere, and further realize the command of the corresponding control function of the remote control system. On one hand, the cost of the electroencephalogram signal at the use end for controlling the remote system can be reduced, and on the other hand, the flexibility of the electroencephalogram signal applied to the remote control system is improved. The utility model is to protect the composition and corresponding connection relationship of each module in the wireless transmission brain-computer interaction remote control system, and the signal data processing process is not the content to be protected by the utility model and is only exemplified.
The utility model realizes the information transmission of the acquisition equipment and the data processing equipment by a wireless transmission technology, so that the wireless transmission brain-computer interaction remote control system can work in a short distance or a long distance, and can transmit data to the remote data processing equipment by wireless transmission even in some scenes such as outdoors where data processing cannot be carried out. The method comprises the steps of performing motor imagery through external visual feedback, collecting motor imagery electroencephalogram information, and then flexibly transmitting collected motor imagery electroencephalogram signals to a remote server for data processing in a wireless transmission mode, so that control commands in a remote control system are completed, and data processing limiting conditions of a user end are reduced. Compared with the traditional method for performing remote control in a communication mode, the method and the device for performing remote control in the deep learning server can enable the electroencephalogram signals to be transmitted to the far-end deep learning server in a wireless communication mode, so that data processing can be performed flexibly and efficiently in the server, and wireless remote control can be further achieved. In addition, the performance of the remote deep learning server and the data processing time are far better than those of the local data processing equipment and the data processing time is shorter, and the applicable scene is wider than that of the traditional communication mode.
In the description of the present invention, it should be understood that the terms "auditory feedback", "visual feedback", "tactile feedback", "processing", "wireless transmission", "deep learning", etc. are only used for convenience of describing the terms involved in acquiring and processing the brain electrical signals in the present invention, and do not indicate or imply the acquisition manner, transmission and processing in a specific manner that the brain electrical signals referred to must be acquired, and therefore, should not be construed as limiting the present invention.
In the description of the present invention, if there are first and second described only for the purpose of distinguishing technical features, it is not understood that relative importance is indicated or implied or that the number of indicated technical features or the precedence of the indicated technical features is implicitly indicated or implied.
In the description of the specification, reference to the description of "one embodiment", "some embodiments", "an example", "a specific example", or "some examples", etc., means that a particular feature, structure, step, or operation described in connection with the embodiment or example is included in at least one embodiment or example of the utility model. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, steps, or operations described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
While the preferred embodiments of the present invention have been illustrated and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the utility model as defined by the appended claims.
Claims (8)
1. A wireless transmission brain-computer interaction remote control system is characterized by comprising: perception feedback module, collection terminal, data processing module and remote control module, collection terminal includes wireless transmission module and EEG signal collection system, the output of perception feedback module passes through EEG signal collection system with wireless transmission module's input is connected, wireless transmission module's output with the input of perception feedback module is connected, data processing module with remote control module respectively with wireless transmission module both way junction.
2. The wireless transmission brain-computer interaction remote control system according to claim 1, wherein the perception feedback module comprises an auditory feedback unit, a visual feedback unit and a tactile feedback unit, and an output end of the visual feedback unit is connected with an input end of the electroencephalogram signal acquisition device.
3. The wireless transmission brain-computer interaction remote control system according to claim 1, wherein the wireless transmission module comprises a WiFi communication unit, a LoRA communication unit and a 5G communication unit.
4. The wireless transmission brain-computer interaction remote control system according to claim 1, wherein the remote control module comprises a robot arm direction control unit, a trolley motion control unit and a character behavior control unit in a virtual environment.
5. The wireless transmission brain-computer interaction remote control system according to claim 1, wherein the brain electrical signal acquisition device comprises an acquisition multi-channel electrode, an instrument amplifier, a band-pass filter, an AD converter and a main control module.
6. The wireless transmission brain-computer interaction remote control system according to claim 5, wherein the electroencephalogram signal acquisition device is connected with the input end of the wireless transmission module through the output end of the main control module.
7. The wireless transmission brain-computer interaction remote control system according to claim 5, wherein the collection multi-channel electrode comprises a first collection electrode, a second collection electrode and a third collection electrode, the instrumentation amplifier comprises a first instrumentation amplifier, a second instrumentation amplifier and a third instrumentation amplifier, the band-pass filter comprises a first band-pass filter, a second band-pass filter and a third band-pass filter, a first input end of the first instrumentation amplifier and a second input end of the third instrumentation amplifier are connected with an output end of the first collection electrode, a second input end of the first instrumentation amplifier and a first input end of the second instrumentation amplifier are connected with an output end of the second collection electrode, a second input end of the second instrumentation amplifier and a first input end of the third instrumentation amplifier are connected with an output end of the third collection electrode, the output of first instrumentation amplifier with first band pass filter's input is connected, second instrumentation amplifier's output with second band pass filter's input is connected, third instrumentation amplifier's output with third band pass filter's input is connected, first band pass filter's output second band pass filter's output with third band pass filter's output all with AD converter's input is connected, AD converter's output with host system's input is connected.
8. The wireless transmission brain-computer interaction remote control system according to claim 7, wherein the brain electrical signal acquisition device further comprises a right leg driving circuit, the output end of the first acquisition electrode, the output end of the second acquisition electrode and the output end of the third acquisition electrode are all connected with one end of the right leg driving circuit, and the other end of the right leg driving circuit is connected with an earlobe of a human body.
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