Intelligent helmet with electroencephalogram control capability and operation method

Abstract

The invention provides an intelligent helmet with electroencephalogram control ability, which comprises a helmet body provided with a buffer layer, a liner, a cap hoop, a cap support and a lower jaw belt, a head cover is arranged on the inner side of the helmet body, an electroencephalogram electrode system is arranged on the inner side of the head cover, and a data acquisition system and a power supply system are respectively arranged on two sides in the helmet body. And a data analysis system is arranged at the top of the helmet body. By collecting the electroencephalogram signal of the operator in real time and identifying and analyzing the electroencephalogram information of the operator, electroencephalogram wireless control over the external device can be conveniently completed without manual operation of the operator, and the problems that manual operation is inconvenient, and the operation efficiency is high are effectively solved. The head protection device can quickly recognize the intention of an operator and accurately control complex external equipment during head protection operation, meets the use requirements of convenient control and quick control, and is suitable for scenes needing convenient control and quick control in a head protection environment.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent helmet control, and in particular to an intelligent helmet with brain-electrical control capability and an operation method thereof. Background Art

[0002] Smart helmets with EEG control capabilities are mainly used in scenarios where workers in head protection environments need convenient and quick control. No manual operation is required, and peripheral control can be completed by collecting EEG signals. Currently, there are no related smart helmet products on the market. When wearing a helmet requires completing complex operations such as external equipment, it is often necessary for workers to manually complete the operation and control of external equipment. Especially for wearing a helmet for fast riding, driving, noisy or external control devices. Complex scenarios require fast completion of complex external equipment control. Manual operation control by workers or other methods such as voice is difficult to meet actual usage needs.

[0003] Comparative document CN206213376U discloses a smart helmet with brainwave control function, and the protected claims are: "a helmet body, a brainwave control module arranged in the helmet body, a wireless transceiver module arranged on the top of the helmet body, and a card slot for fixing the smart device." The main problem it solves is to use smart devices to replace the functional modules in the helmet, and directly control external equipment or smart devices through control instructions generated according to brainwave signals. Most of the functional modules attached to the helmet are replaced by smart devices. Since many smart functional modules are integrated into one smart device, the size and weight of the smart helmet are reduced, and the problems of heavy weight, large size, and lack of convenient way to interact with the helmet body in the prior art smart helmets are solved; however, the utility model essentially adopts the existing smart devices on the market to realize the functions of the smart helmet, and does not have an integrated design with the helmet, and cannot collect the brainwave signals of the operators in real time, identify and analyze the brainwave information of the operators, and the control function needs to be further improved.

[0004] Therefore, there is an urgent need for a smart helmet with brain-electrical control capability and an operation method to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to overcome the above-mentioned shortcomings and provide a smart helmet with brain-electrical control capability and an operation method to solve the problems raised in the background technology.

[0006] In order to solve the above technical problems, the technical solution adopted by the present invention is: an intelligent helmet with brain-electrical control capability, which includes a helmet body provided with a buffer layer, a liner, a hat hoop, a hat support and a chin strap, a hood is provided on the inner side of the helmet body, the hood is fixed on the hat hoop and the hat support, the hood can wrap the top and the back of the head, headbands are provided on both sides of the hood, the headbands are fixed to the chin strap of the helmet body, and the hood and the head are fitted by adjusting the chin strap of the helmet body, an brain-electrical electrode system is provided on the inner side of the hood, a data acquisition system and a power supply system are respectively provided on both sides of the helmet body, a data analysis system is provided on the top of the helmet body, and a data transmission harness, a first power transmission line and a second power transmission line are arranged in the helmet body to connect various electronic components.

[0007] Preferably, the EEG electrode system is dispersedly arranged in the electrode fixing cavity, the EEG electrode system signal line is electrically connected to the tail end of the signal acquisition interface, and the signal acquisition interface is electrically connected to the signal input interface.

[0008] Preferably, the EEG electrode system contains multiple electrodes, using dry electrodes, and the electrode fixing cavity is composed of multiple cloth electrode fixing cavities, which are dispersedly sewn on the top and back of the head cover, and the bottom of the electrode fixing cavity is hollowed out to allow the electrode to contact the head.

[0009] Preferably, the data acquisition system includes a collector cavity, inside which a signal acquisition module, a microcontroller, a first communication module, a posture detection module and a first power supply module are arranged, and the top of the collector cavity is provided with a first signal interface, a signal input interface and a first power supply input interface.

[0010] Preferably, the signal acquisition module, the first communication module, and the posture detection module are electrically connected to the microcontroller respectively, the tail end of the first signal interface is electrically connected to the output end of the first communication module, the tail end of the signal input interface is electrically connected to the input end of the signal acquisition module, the tail end of the first power input interface is electrically connected to the input end of the first power module, the output port of the first power module is respectively connected to the signal acquisition module, the first communication module, the posture detection module, and the microcontroller power port to provide power, and the first signal interface is electrically connected to the second signal interface through a data transmission harness.

[0011] Preferably, the data analysis system includes a data analysis cavity, inside which are disposed a second communication module, a third communication module, a microprocessor module, a storage module and a second power supply module, a second power input interface and a second signal interface are disposed on both sides of the data analysis cavity, a heat dissipation port is disposed on the front of the data analysis cavity, a heat sink is disposed inside the heat dissipation port, and one side of the heat sink covers the microprocessor module.

[0012] Preferably, the second communication module, the third communication module, the storage module, the USB interface module, and the key module are respectively electrically connected to the microprocessor module, the tail end of the second signal interface is electrically connected to the signal port of the second communication module, the tail end of the second power input interface is electrically connected to the input port of the second power module, and the output port of the second power module is respectively electrically connected to the power ports of the second communication module, the third communication module, the storage module, and the microprocessor module to provide power.

[0013] Preferably, the power supply system includes a power supply installation cavity, a battery is installed inside the power supply installation cavity, a first discharge interface and a second discharge interface are provided at the top of the power supply installation cavity, and a USB interface module, a button module and a charging interface are provided at the bottom of the power supply installation cavity.

[0014] Preferably, the first discharge interface and the second discharge interface are electrically connected to the first power input interface and the second power input interface through the first power transmission line and the second power transmission line respectively, the first discharge interface and the second discharge interface are electrically connected to the battery output port respectively, the charging interface is electrically connected to the battery charging port, and the button module adopts a self-reset button, including a power on / off button.

[0015] In addition, the present invention also discloses an operation method of a smart helmet with brain-electric control capability, which comprises the following steps: Step 1: Initialize the signal acquisition module, the first communication module, the posture detection module, the microcontroller, the second communication module, the third communication module, the storage module, and the microprocessor module, and turn on the interrupts of the microcontroller and microprocessor modules; Step 2: The signal acquisition module performs signal amplification, preliminary filtering and A / D conversion on the EEG electrode system signal; Step 3: The microcontroller reads the sensor data of the EEG electrode system; Step 4: The microcontroller reads the sensor data of the posture detection module; Step 5: The microcontroller filters the EEG electrode system sensor data and the posture detection module sensor data, and sends the processed EEG electrode system sensor data and the posture detection module sensor data to the second communication module through the first communication module; Step 6: The microprocessor module reads the sensor data of the EEG electrode system and the sensor data of the posture detection module through the second communication module; Step 7: The microprocessor module processes the sensor data of the EEG electrode system, filters out the 50HZ power frequency interference, and then eliminates the interference of electrooculography and electromyography. At the same time, the microprocessor module further filters the EEG sensor data according to the sensor data of the posture detection module to remove the interference of movement on the EEG signal; Step 8: The microprocessor module performs feature extraction on the EEG sensor data, extracts specific features, and classifies the feature extraction signals through a classifier, and converts the classified signals into EEG control signals; Step 9: The microprocessor module drives the third communication module to send the EEG control signal to the target control peripheral device to complete the control of the target peripheral device; Step 10: Repeat steps 2 to 10.

[0016] The present invention has the following beneficial effects: 1. The smart helmet and method with EEG control capability of the present invention can conveniently complete EEG wireless control of peripheral devices by only collecting EEG signals of operators in real time, identifying and analyzing EEG information of operators, without manual operation by operators; 2. The overall EEG control command transmission of the present invention adopts wireless mode, and no wired connection is required to control external devices, making the control more convenient; 3. The present invention integrates EEG acquisition, analysis and control with the helmet as a whole, which has high integration and is convenient to wear and use; 4. The smart helmet with EEG control capability of the present invention has a simple structure and is easy to operate. It effectively solves the problems of inconvenience of manual operation, rapid identification of operator intentions during head protection operations, and accurate control of complex external equipment, and meets the requirements of convenient and rapid control. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a front schematic diagram of the overall structure of the present invention; Figure 2 It is a schematic diagram of the internal structure of the overall structure of the present invention; Figure 3 It is the overall structure diagram of the circuit of the present invention; Figure 4 This is a schematic diagram of the head cover structure of the present invention; Figure 5 This is a schematic diagram of the electrode fixing cavity structure of the present invention; Figure 6 This is a schematic diagram of the arrangement of the EEG electrode system on the headgear of the present invention; Figure 7 This is a diagram showing the internal structure of the collector cavity of the present invention; Figure 8 This is a structural diagram of the top of the collector cavity of the present invention; Fig. 9 This is a schematic diagram of the internal structure of the data analysis chamber of the present invention; Fig.10 This is a schematic diagram of the right side structure of the data analysis chamber of the present invention; Fig.11 This is a schematic diagram of the left side structure of the data analysis chamber of the present invention; Fig.12 This is a schematic diagram of the front structure of the data analysis cavity of the present invention; Fig.13 This is a schematic diagram of the internal structure of the power supply installation cavity of the present invention; Fig.14 This is a schematic diagram of the top structure of the power supply installation cavity of the present invention; Fig.15 This is a schematic diagram of the bottom structure of the power supply installation cavity of the present invention; In the figure: helmet body 1, EEG electrode system 2, signal acquisition interface 3, signal acquisition module 4, microcontroller 5, first communication module 6, posture detection module 7, first signal interface 8, signal input interface 9, first power input interface 10, collector cavity 11, second communication module 12, third communication module 13, microprocessor module 14, storage module 15, second power input interface 16, second signal interface 17, heat sink 18, heat dissipation port 19, data analysis cavity 20, USB interface module 21, button module 22, first power module 23, battery 24, charging interface 25, first discharge interface 26, second discharge interface 27, power installation cavity 28, head cover 29, second power module 30, electrode fixing cavity 31, data transmission harness 32, first power transmission line 33, second power transmission line 34, data acquisition system 35, power system 36, data analysis system 37. DETAILED DESCRIPTION

[0018] The present invention will be further described below in conjunction with the accompanying drawings and embodiments: See also Figures 1 to 15 , an intelligent helmet with brain-electrical control capability, comprising a helmet body 1 provided with a buffer layer, a liner, a hat hoop, a hat support and a chin strap, a hood 29 is provided on the inner side of the helmet body 1, the hood 29 is fixed on the hat hoop and the hat support, the hood 29 can wrap the top and the back of the head, headbands are provided on both sides of the hood 29, the headbands are fixed to the chin strap of the helmet body 1, and the hood 29 is fitted to the head by adjusting the chin strap of the helmet body 1, an brain-electrical electrode system 2 is provided on the inner side of the hood 29, a data acquisition system 35 and a power supply system 36 are respectively provided on both sides of the helmet body 1, a data analysis system 37 is provided on the top of the helmet body 1, and a data transmission harness 32, a first power transmission line 33 and a second power transmission line 34 are arranged inside the helmet body 1 to connect various electronic components.

[0019] Preferably, the EEG electrode system 2 is dispersedly arranged in the electrode fixing cavity 31, the signal line of the EEG electrode system 2 is electrically connected to the tail end of the signal acquisition interface 3, and the signal acquisition interface 3 is electrically connected to the signal input interface 9. The signal acquisition interface 3 adopts a multi-core micro-aviation plug structure; the signal input interface 9 adopts a multi-core micro-aviation socket structure, and the number of cores corresponds to that of the signal acquisition interface 3.

[0020] Preferably, the EEG electrode system 2 contains multiple electrodes, using dry electrodes. The electrode fixing cavity 31 is composed of multiple cloth electrode fixing cavities, which are dispersedly sewn on the top and back of the head cover 29. The bottom of the electrode fixing cavity 31 is hollowed out to allow the electrode to contact the head.

[0021] Preferably, the data acquisition system 35 includes a collector cavity 11, and a signal acquisition module 4, a microcontroller 5, a first communication module 6, a posture detection module 7 and a first power module 23 are arranged inside the collector cavity 11, and a first signal interface 8, a signal input interface 9 and a first power input interface 10 are arranged on the top of the collector cavity 11. The posture detection module 7 contains a 6-axis posture sensor and peripheral circuits, and the storage module 15 contains 32GB eMMC and 8GB dual-channel DDR3.

[0022] Preferably, the signal acquisition module 4, the first communication module 6, and the posture detection module 7 are electrically connected to the microcontroller 5 respectively, the tail end of the first signal interface 8 is electrically connected to the output end of the first communication module 6, the tail end of the signal input interface 9 is electrically connected to the input end of the signal acquisition module 4, the tail end of the first power input interface 10 is electrically connected to the input end of the first power module 23, the output port of the first power module 23 is respectively connected to the signal acquisition module 4, the first communication module 6, the posture detection module 7, and the power port of the microcontroller 5 to provide power, and the first signal interface 8 is electrically connected to the second signal interface 17 through the data transmission harness 32. The signal acquisition module 4 contains a high-precision AD conversion chip, the microcontroller 5 is a DSP, and the microprocessor module 14 contains a high-performance microprocessor and a variety of data interfaces.

[0023] Preferably, the data analysis system 37 comprises a data analysis cavity 20, wherein the second communication module 12, the third communication module 13, the microprocessor module 14, the storage module 15 and the second power module 30 are arranged inside the data analysis cavity 20, the second power input interface 16 and the second signal interface 17 are arranged on both sides of the data analysis cavity 20, and the front of the data analysis cavity 20 is provided with a heat dissipation port 19, and the heat dissipation port 19 is provided with a heat sink 18, and one side of the heat sink 18 covers the microprocessor module 14. The heat sink 18 is made of a high thermal conductivity silicone sheet. The first power module 23 and the second power module 30 contain a variety of voltage conversion modules to provide appropriate working power to each module.

[0024] Preferably, the second communication module 12, the third communication module 13, the storage module 15, the USB interface module 21, and the button module 22 are respectively electrically connected to the microprocessor module 14, the tail end of the second signal interface 17 is electrically connected to the signal port of the second communication module 12, the tail end of the second power input interface 16 is electrically connected to the input port of the second power module 30, and the output port of the second power module 30 is respectively electrically connected to the power ports of the second communication module 12, the third communication module 13, the storage module 15, and the microprocessor module 14 to provide power.

[0025] Preferably, the power system 36 includes a power installation cavity 28, a battery 24 is installed inside the power installation cavity 28, a first discharge interface 26 and a second discharge interface 27 are provided at the top of the power installation cavity 28, and a USB interface module 21, a key module 22 and a charging interface 25 are provided at the bottom of the power installation cavity 28. The USB interface module 21 contains a USB serial port chip and a USB interface, and the charging interface 25 uses a micro USB interface. The battery 24 uses a rechargeable polymer lithium battery with a built-in charge and discharge protection board.

[0026] Preferably, the first discharge interface 26 and the second discharge interface 27 are electrically connected to the first power input interface 10 and the second power input interface 16 through the first power transmission line 33 and the second power transmission line 34, respectively; the first discharge interface 26 and the second discharge interface 27 are electrically connected to the output port of the battery 24, respectively; the charging interface 25 is electrically connected to the charging port of the battery 24; the key module 22 adopts a self-reset key, including a power on / off key. The first signal interface 8 and the second signal interface 17 adopt the same micro four-core aviation plug socket structure; the first power input interface 10, the second power input interface 16, the first discharge interface 26, and the second discharge interface 27 adopt the same micro two-core aviation plug socket structure; the data transmission harness 32 adopts a shielded wire, and a micro four-core aviation plug structure is set on both sides; the first power transmission line 33 and the second power transmission line 34 are provided with a micro two-core aviation plug structure on both sides.

[0027] In addition, the present invention also discloses an operation method of a smart helmet with brain-electric control capability, which comprises the following steps: Step 1: Initialize the signal acquisition module 4, the first communication module 6, the posture detection module 7, the microcontroller 5, the second communication module 12, the third communication module 13, the storage module 15, and the microprocessor module 14, and turn on the interrupts of the microcontroller 5 and the microprocessor module 14; Step 2: The signal acquisition module 4 performs signal amplification, preliminary filtering and A / D conversion on the signal of the EEG electrode system 2; Step 3: The microcontroller 5 reads the sensor data of the EEG electrode system 2; Step 4: The microcontroller 5 reads the sensor data of the posture detection module 7; Step 5: The microcontroller 5 performs filtering processing on the sensor data of the EEG electrode system 2 and the sensor data of the posture detection module 7, and the microcontroller 5 sends the processed sensor data of the EEG electrode system 2 and the sensor data of the posture detection module 7 to the second communication module 12 through the first communication module 6; Step 6: The microprocessor module 14 reads the sensor data of the EEG electrode system 2 and the sensor data of the posture detection module 7 through the second communication module 12; Step 7: The microprocessor module 14 processes the sensor data of the EEG electrode system 2, filters out the 50HZ power frequency interference, and then eliminates the interference of electrooculography and electromyography. At the same time, the microprocessor module 14 further filters the EEG sensor data according to the sensor data of the posture detection module 7 to remove the interference of movement on the EEG signal; Step 8: The microprocessor module 14 performs feature extraction on the EEG sensor data to extract specific features, and the feature extraction signals are classified by a classifier, and the classified signals are converted into EEG control signals; Step 9: The microprocessor module 14 drives the third communication module 13 to send the EEG control signal to the target control peripheral device to complete the control of the target peripheral device; Step 10: Repeat steps 2 to 10.

[0028] The working process and working principle of the present invention are: The tester wears the helmet body 1 on the head according to the requirements of the specification, turns on the helmet through the button module 22, the posture detection module 7 obtains the operator's motion posture data, the EEG electrode system 2 obtains the operator's EEG signal, and sends the EEG signal to the signal acquisition module 4 through the signal acquisition interface 3 and the signal input interface 9. The signal acquisition module 4 amplifies, preliminarily filters and A / D converts the signal of the EEG electrode system 2; the signal acquisition module 4 sends the A / D converted signal to the microcontroller 5, the posture detection module 7 sends the posture data to the microcontroller 5 through the data interface, the microcontroller 5 reads the sensor data of the EEG electrode system 2 and the sensor data of the posture detection module 7, the microcontroller 5 filters the sensor data of the EEG electrode system 2 and the sensor data of the posture detection module 7, and the microcontroller 5 sends the processed sensor data of the EEG electrode system 2 and the sensor data of the posture detection module 7 to the second communication module 12 through the first communication module 6; the microprocessor module 14 reads the sensor data of the EEG electrode system 2 and the sensor data of the posture detection module 7 through the second communication module 12; The microprocessor module 14 processes the sensor data of the EEG electrode system 2, filters out the 50HZ power frequency interference, and then eliminates the interference of electrooculography and electromyography. At the same time, the microprocessor module 14 further filters the EEG sensor data according to the sensor data of the posture detection module 7 to remove the interference of movement on the EEG signal; the microprocessor module 14 performs feature extraction on the EEG sensor data to extract specific features, and the feature extraction signal is classified by the classifier, and the classified signal is converted into an EEG control signal; The microprocessor module 14 drives the third communication module 13 to send the EEG control signal to the target control peripheral device through the third communication module 13. The target peripheral device receives the control instruction and completes the control of the target peripheral device.

[0029] The above embodiments are only preferred technical solutions of the present invention and should not be regarded as limiting the present invention. The protection scope of the present invention shall be the technical solutions recorded in the claims, including equivalent replacement solutions of the technical features in the technical solutions recorded in the claims. That is, equivalent replacement improvements within this scope are also within the protection scope of the present invention.

Claims

1. An intelligent helmet with brain-electrical control capability, comprising a helmet body (1) provided with a buffer layer, a liner, a headband, a headrest and a chin strap, characterized in that: A hood (29) is provided on the inner side of the helmet body (1), the hood (29) being fixed on a hat hoop and a hat support, the hood (29) being capable of wrapping around the top and back of the head, headbands are provided on both sides of the hood (29), the headbands being fixed to the chin strap of the helmet body (1), and the hood (29) being fitted to the head by adjusting the chin strap of the helmet body (1), an electroencephalogram electrode system (2) is provided on the inner side of the hood (29), a data acquisition system (35) and a power supply system (36) are provided on both sides of the interior of the helmet body (1), a data analysis system (37) is provided on the top of the helmet body (1), and a data transmission harness (32), a first power transmission line (33) and a second power transmission line (34) are provided inside the helmet body (1) to connect various electronic components.

2. The smart helmet with brain-electric control capability according to claim 1, characterized in that: The EEG electrode system (2) is dispersedly arranged in the electrode fixing cavity (31); a signal line of the EEG electrode system (2) is electrically connected to a tail end of a signal acquisition interface (3); and the signal acquisition interface (3) is electrically connected to a signal input interface (9).

3. The smart helmet with brain-electric control capability according to claim 2, characterized in that: The EEG electrode system (2) contains a plurality of electrodes, which are dry electrodes. The electrode fixing cavity (31) is composed of a plurality of cloth electrode fixing cavities, which are dispersedly sewn on the top and the back of the head cover (29). The bottom of the electrode fixing cavity (31) is hollowed out so that the electrode contacts the head.

4. The smart helmet with brain-electrical control capability according to claim 1, characterized in that: The data acquisition system (35) comprises a collector cavity (11), wherein a signal acquisition module (4), a microcontroller (5), a first communication module (6), a posture detection module (7) and a first power supply module (23) are arranged inside the collector cavity (11), and a first signal interface (8), a signal input interface (9) and a first power supply input interface (10) are arranged on the top of the collector cavity (11).

5. The smart helmet with brain-electric control capability according to claim 4, characterized in that: The signal acquisition module (4), the first communication module (6), and the posture detection module (7) are electrically connected to the microcontroller (5) respectively; the tail end of the first signal interface (8) is electrically connected to the output end of the first communication module (6); the tail end of the signal input interface (9) is electrically connected to the input end of the signal acquisition module (4); the tail end of the first power input interface (10) is electrically connected to the input end of the first power module (23); the output port of the first power module (23) is respectively connected to the power ports of the signal acquisition module (4), the first communication module (6), the posture detection module (7), and the microcontroller (5) to provide power; and the first signal interface (8) is electrically connected to the second signal interface (17) via a data transmission harness (32).

6. The smart helmet with brain-electric control capability according to claim 1, characterized in that: The data analysis system (37) comprises a data analysis cavity (20), wherein a second communication module (12), a third communication module (13), a microprocessor module (14), a storage module (15) and a second power module (30) are arranged inside the data analysis cavity (20), a second power input interface (16) and a second signal interface (17) are arranged on both sides of the data analysis cavity (20), a heat dissipation port (19) is arranged on the front side of the data analysis cavity (20), a heat sink (18) is arranged inside the heat dissipation port (19), and one side of the heat sink (18) covers the microprocessor module (14).

7. The smart helmet with brain-electric control capability according to claim 6, characterized in that: The second communication module (12), the third communication module (13), the storage module (15), the USB interface module (21), and the key module (22) are respectively electrically connected to the microprocessor module (14); the tail end of the second signal interface (17) is electrically connected to the signal port of the second communication module (12); the tail end of the second power input interface (16) is electrically connected to the input port of the second power module (30); and the output port of the second power module (30) is respectively electrically connected to the power ports of the second communication module (12), the third communication module (13), the storage module (15), and the microprocessor module (14) to provide power.

8. The smart helmet with brain-electric control capability according to claim 1, characterized in that: The power supply system (36) comprises a power supply installation cavity (28), a battery (24) is installed inside the power supply installation cavity (28), a first discharge interface (26) and a second discharge interface (27) are provided at the top of the power supply installation cavity (28), and a USB interface module (21), a key module (22) and a charging interface (25) are provided at the bottom of the power supply installation cavity (28).

9. The smart helmet with brain-electric control capability according to claim 8, characterized in that: The first discharge interface (26) and the second discharge interface (27) are electrically connected to the first power input interface (10) and the second power input interface (16) respectively via a first power transmission line (33) and a second power transmission line (34); the first discharge interface (26) and the second discharge interface (27) are electrically connected to the output port of the battery (24) respectively; the charging interface (25) is electrically connected to the charging port of the battery (24); and the key module (22) uses a self-reset key, including a power on / off key.

10. The method for operating a smart helmet with brain-electrical control capability according to any one of claims 1 to 9, characterized in that: It contains the following steps: Step 1: Initialize the signal acquisition module (4), the first communication module (6), the posture detection module (7), the microcontroller (5), the second communication module (12), the third communication module (13), the storage module (15), and the microprocessor module (14), and enable the interrupts of the microcontroller (5) and the microprocessor module (14); Step 2: The signal acquisition module (4) performs signal amplification, preliminary filtering and A / D conversion on the signal of the EEG electrode system (2); Step 3: The microcontroller (5) reads the sensor data of the EEG electrode system (2); Step 4: The microcontroller (5) reads the sensor data from the posture detection module (7); Step 5: The microcontroller (5) performs filtering processing on the sensor data of the EEG electrode system (2) and the sensor data of the posture detection module (7), and the microcontroller (5) sends the processed sensor data of the EEG electrode system (2) and the sensor data of the posture detection module (7) to the second communication module (12) via the first communication module (6); Step 6: The microprocessor module (14) reads the sensor data of the EEG electrode system (2) and the sensor data of the posture detection module (7) through the second communication module (12); Step 7: The microprocessor module (14) processes the sensor data of the EEG electrode system (2), filters out the 50 Hz power frequency interference, and then eliminates the electrooculographic and myoelectric interference. At the same time, the microprocessor module (14) further filters the EEG sensor data according to the sensor data of the posture detection module (7) to remove the interference of movement on the EEG signal; Step 8: The microprocessor module (14) performs feature extraction on the EEG sensor data to extract specific features, and the feature extraction signal is classified by a classifier, and the classified signal is converted into an EEG control signal; Step 9: The microprocessor module (14) drives the third communication module (13) to send the EEG control signal to the target control peripheral device, thereby completing the control of the target peripheral device; Step 10: Repeat steps 2 to 10.

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