Intelligent glasses and electroencephalogram detection method

Abstract

According to the intelligent glasses and the electroencephalogram detection method provided by the invention, the signal acquisition module, the perception sensor, the control module, the feedback adjustment module and the signal interaction module are integrated in the intelligent glasses, and the signal interaction module can perform signal transmission between the control module and other modules. Therefore, when a user wears the intelligent glasses for electroencephalogram detection, the signal acquisition module can acquire electroencephalogram signals of the user in a multi-channel coordinated manner, and the quality of acquired data is ensured; the sensing sensor can collect gravity sensing signals generated when the head of the user moves, and real-time sensing of the detection state of the user is achieved; the control module has real-time analysis capability, can analyze the real-time state of the user based on the two signals, and generates a targeted control signal when the analysis result is abnormal, so as to trigger the feedback regulation module to intervene and guide the state of the target user back to the state meeting the electroencephalogram detection condition; therefore, the quality of the finally acquired electroencephalogram data is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of smart glasses, and particularly relates to a smart glasses and an electroencephalogram detection method. BACKGROUND

[0002] With the deepening of brain science research, electroencephalogram signals, as important physiological signals reflecting brain nerve activity, show great application potential in the fields of emotion monitoring, cognitive function evaluation, etc. Especially, electroencephalogram signals related to the prefrontal cortex are closely related to emotion regulation, attention and other high-level cognitive functions, and become an important target for scientific research and product development.

[0003] Traditional devices mostly use head-mounted electrode caps, and the wearing process is complex and bulky, which is difficult to adapt to the portable needs of daily scenes. Moreover, such devices only stay at the signal acquisition level, and users are prone to frequent head micro-movements due to poor wearing comfort during the detection process, or are prone to fatigue or distraction due to long detection time, so that the final collected electroencephalogram data is mixed with a large amount of noise, and the quality is difficult to guarantee. SUMMARY

[0004] The purpose of the present application is to at least solve one of the above technical defects, in particular, the technical defect that the electroencephalogram data collected by the electroencephalogram detection device in the prior art is mixed with a large amount of noise, and the quality is difficult to guarantee.

[0005] The present application provides a kind of smart glasses, the smart glasses include signal acquisition module, perception sensor, control module, feedback adjustment module and signal interaction module;

[0006] The signal acquisition module, the perception sensor and the feedback adjustment module are all electrically connected with the control module through the signal interaction module;

[0007] The signal acquisition module is used to collect the electroencephalogram signals of the target user in multiple channels;

[0008] The perception sensor is used to collect the gravity sensing signals generated by the target user when moving the head;

[0009] The control module is used to analyze the real-time state of the target user based on the electroencephalogram signals and the gravity sensing signals, and generate corresponding control signals when the analysis result is abnormal;

[0010] The feedback adjustment module is used to perform corresponding state adjustment operation on the target user according to the control signal;

[0011] The signal interaction module is used for signal transmission between the control module and other modules.

[0012] Optionally, the signal acquisition module includes a face acquisition point and an ear acquisition point.

[0013] The face collection point adopts a flexible electrode and is arranged above a nose pad of the smart glasses.

[0014] The ear collection point adopts a silver chloride electrode and is arranged on the inner side of the arm bend of the glasses leg of the smart glasses.

[0015] Optionally, the signal collection module further comprises a backup collection point.

[0016] The backup collection point is in the form of an external component and is electrically connected to the control module through a wire.

[0017] Optionally, the perception sensor adopts a 6-axis MEMS sensor.

[0018] The 6-axis MEMS sensor is arranged on the outer side of the middle part of the glasses leg of the smart glasses and is used to collect a gravity sensing signal of the target user during head movement; the gravity sensing signal comprises a 3-axis acceleration signal and a 3-axis angular velocity signal.

[0019] Optionally, the control module comprises a signal processing unit, a signal analysis unit, a state detection unit and a signal feedback unit.

[0020] The signal processing unit, the signal analysis unit, the state detection unit and the signal feedback unit are electrically connected in sequence and are arranged on the outer side of the middle part of the glasses leg of the smart glasses.

[0021] The signal processing unit is used to perform a preprocessing operation on the received electroencephalogram signal and gravity sensing signal to obtain an analyzable signal.

[0022] The signal analysis unit is used to perform real-time analysis on the analyzable signal and determine the real-time state of the target user according to the analysis result.

[0023] The state detection unit is used to determine whether the real-time state meets the electroencephalogram detection state condition and determine the state adjustment parameter corresponding to the real-time state when it does not meet the condition.

[0024] The signal feedback unit is used to generate a control signal corresponding to the state adjustment parameter.

[0025] Optionally, the signal processing unit comprises a filter circuit and an amplification circuit.

[0026] The filter circuit is used to filter power frequency interference in the electroencephalogram signal and the gravity sensing signal to obtain a filtered signal.

[0027] The amplification circuit is used to amplify the filtered signal to an analyzable level to form an analyzable signal.

[0028] Optionally, the feedback adjustment module comprises an audio playing unit and a vibration feedback unit.

[0029] The audio playing unit is arranged at the inner side of the arm bend of the temple of the smart glasses, and is configured to play corresponding audio data according to an audio parameter in the audio signal when the control signal is an audio signal.

[0030] The vibration feedback unit is arranged at the outer side of the middle part of the temple of the smart glasses, and is configured to output corresponding vibration actions according to a vibration parameter in the vibration signal when the control signal is a vibration signal.

[0031] Optionally, the signal interaction module comprises a double-input channel and a double-output channel.

[0032] The double-input channel is connected with the signal collection module and the perception sensor respectively, and is configured to synchronously transmit the electroencephalogram signal and the gravity sensing signal to the control module.

[0033] The double-output channel is connected with the audio playing unit and the vibration feedback unit respectively, and is configured to transmit the audio signal and the vibration signal generated in the control module to the audio playing unit and the vibration feedback unit respectively.

[0034] Optionally, the arm bend of the temple of the smart glasses adopts a foldable structure to fit the ear contour of different target users.

[0035] The application further provides an electroencephalogram detection method applied to the smart glasses in any of the above embodiments, and the method comprises:

[0036] Collecting an electroencephalogram signal of a target user by a signal collection module, and collecting a gravity sensing signal generated by the target user when moving the head by a perception sensor;

[0037] Performing state analysis on the electroencephalogram signal and the gravity sensing signal by a preset state recognition module to obtain a real-time state of the target user;

[0038] Determining whether the real-time state meets an electroencephalogram detection state condition;

[0039] If yes, continuously recording and storing the electroencephalogram signal;

[0040] If no, stopping the recording and storing operation of the electroencephalogram signal, determining a state adjustment parameter corresponding to the real-time state, and generating a control signal corresponding to the state adjustment parameter to trigger a feedback adjustment module to perform a state adjustment operation on the target user according to the control signal.

[0041] From the above technical solutions, it can be seen that the embodiments of the application have the following advantages:

[0042] The application provides an intelligent glasses and an electroencephalogram detection method. The intelligent glasses are integrated with a signal acquisition module, a perception sensor, a control module, a feedback adjustment module and a signal interaction module. Therefore, when a target user wears the intelligent glasses for electroencephalogram detection, the signal acquisition module can use the fitting structure of the glasses to stably contact the electrodes with the head, and multi-channel coordinated acquisition of the electroencephalogram signal of the target user is ensured to ensure the quality of the acquired data; the perception sensor can acquire the gravity sensing signal generated by the target user when the head moves, and real-time perception of the detection state of the user is realized; then, the signal interaction module can transmit the acquired two signals to the control module, so that the control module has real-time analysis capability, which can analyze the real-time state of the target user based on the two signals, and generate a corresponding control signal when the analysis result is abnormal, and transmit the control signal to the feedback adjustment module through the signal interaction module, to trigger the feedback adjustment module to intervene, including emotion adjustment and attention improvement, to guide the state of the target user back to the state meeting the electroencephalogram detection condition, so as to improve the quality of the finally acquired electroencephalogram data. BRIEF DESCRIPTION OF DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained without creative labor on the basis of these drawings.

[0044] Figure 1 A structural schematic diagram of the intelligent glasses provided by the embodiments of the present application is provided.

[0045] Figure 2 A flowchart of the electroencephalogram detection method provided by the embodiments of the present application is provided. DETAILED DESCRIPTION

[0046] The technical solutions in the embodiments of the present application will be described in detail below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0047] Traditional devices mostly use head-mounted electrode caps, and the wearing process is complex and bulky, which is difficult to adapt to the portable needs of daily scenarios. Moreover, such devices only stay at the signal acquisition level, and users are prone to frequent head micro-movements due to poor wearing comfort during the detection process, or to fatigue or distraction due to long detection time, so that the final collected electroencephalogram data is mixed with a large amount of noise, and the quality is difficult to guarantee.

[0048] Based on this, the technical scheme is proposed as follows, please refer to the following text:

[0049] In one embodiment, as shown in Figure 1 , Figure 1 a structural schematic diagram of an intelligent glasses provided by the embodiment of the application; the application provides an intelligent glasses, which comprises a signal acquisition module, a perception sensor, a control module, a feedback adjustment module and a signal interaction module, and specifically comprises the following:

[0050] The signal acquisition module, the perception sensor and the feedback adjustment module are electrically connected with the control module through the signal interaction module.

[0051] The signal acquisition module is used for multi-channel acquisition of electroencephalogram signals of a target user.

[0052] The perception sensor is used for acquisition of gravity sensing signals generated by the target user when moving the head.

[0053] The control module is used for analysis of real-time state of the target user based on the electroencephalogram signals and the gravity sensing signals, and generation of corresponding control signals when the analysis result is abnormal.

[0054] The feedback adjustment module is used for corresponding state adjustment operation on the target user according to the control signals.

[0055] The signal interaction module is used for signal transmission between the control module and other modules.

[0056] In the embodiment, the intelligent glasses integrate a plurality of modules, including the signal acquisition module, the perception sensor, the control module, the feedback adjustment module and the signal interaction module, and through the synergistic effect among the modules, the intelligent glasses can not only stably acquire electroencephalogram information in the daily wearing state of the user, but also can analyze the detection state of the user in real time in combination with motion perception, and actively implement personalized adjustment of the state of the user when the user is in an abnormal state, i.e., does not meet the electroencephalogram detection state condition, so as to reduce the noise in the acquired electroencephalogram signals and improve the quality.

[0057] Specifically, the signal acquisition module is mainly responsible for multi-channel and continuous acquisition of the electroencephalogram signals of the target user. The signal acquisition module can use the fitting structure of the glasses to stably attach multiple electrodes to the user's skin, and can capture weak bioelectric signals reflecting different frequency bands of brain neural activity, such as alpha waves, theta waves, and beta waves, in real time, to form high-quality electroencephalogram raw data.

[0058] The perception sensor is mainly responsible for acquiring gravity sensing signals such as acceleration changes and angular velocity changes when the user's head moves, so as to determine in real time whether the user has performed actions such as nodding, bowing, and shaking, and whether there is potential interference affecting the acquisition of electroencephalogram data, and to provide compensation parameters for the control module.

[0059] The control module is the core decision-making unit of the smart glasses, and is mainly responsible for fusion analysis of the real-time state of the user, and automatically generates corresponding control signals when identifying emotional abnormalities, decreased attention, or increased fatigue. Through the millisecond-level decision-making of the control module, the smart glasses can generate control signals in time to trigger the feedback adjustment module to remind or intervene the user's bad state, and ensure high-quality acquisition of electroencephalogram signals.

[0060] The feedback adjustment module is mainly responsible for performing corresponding state adjustment operations according to the control signals output by the control module, including vibration reminders, audio prompts, and other operations, so that the user can perceive and actively adjust the current detection state in time, thereby improving the effectiveness of state intervention while not interfering with the detection process.

[0061] The signal interaction module is mainly responsible for signal transmission between the control module and other modules, including electroencephalogram data uploading, gravity sensing signal synchronization, and control signal issuing. Through the stable and high-speed transmission of the signal interaction module, the application can ensure the communication stability and data immediacy of the smart glasses during the electroencephalogram detection process, thereby supporting high-quality acquisition of electroencephalogram signals.

[0062] In the above embodiments, the smart glasses integrate a signal acquisition module, a sensing sensor, a control module, a feedback adjustment module, and a signal interaction module. Therefore, when a target user wears the smart glasses for EEG testing, the signal acquisition module utilizes the glasses' fit to ensure stable contact between the electrodes and the head, coordinating multi-channel acquisition of the target user's EEG signals to ensure data quality. The sensing sensor collects gravity-sensing signals generated during head movements, enabling real-time perception of the user's state. Subsequently, the signal interaction module transmits the two acquired signals to the control module, enabling real-time analysis. The control module analyzes the target user's real-time state based on these two signals and generates a corresponding control signal when an anomaly is detected. This control signal is then transmitted to the feedback adjustment module via the signal interaction module, triggering intervention, including emotion regulation and attention enhancement, to guide the target user's state back to a state that meets the EEG testing conditions, thereby improving the quality of the final acquired EEG data.

[0063] In one embodiment, the signal acquisition module may include a face acquisition point and an ear acquisition point.

[0064] The facial recognition points use flexible electrodes and are positioned above the nose pad of the smart glasses.

[0065] The ear sampling point uses a silver chloride electrode, which is placed on the inside of the temple of the smart glasses.

[0066] In this embodiment, as Figure 1 As shown, the signal acquisition module can include two face acquisition points 1_1 and 1_2 and two ear acquisition points 2_1 and 2_2. The face acquisition points are located above the nose pad of the smart glasses and can use flexible electrodes to adapt to the curvature of the facial skin, avoiding pressure. The ear acquisition points are located on the inner side of the temple bend of the smart glasses and can use 5mm diameter silver / silver chloride electrode pads with a copper-plated gold conductive layer on the surface, thereby enhancing the fit with the skin. Therefore, through the multi-channel signal coverage of the signal acquisition module, the smart glasses can effectively avoid the limitations of traditional head-mounted devices that require large-area contact with the scalp, while improving user comfort through a more closely fitted arrangement of acquisition points on the face and ears.

[0067] Understandably, the area above the nose pads of smart glasses can fit the skin on both sides of the bridge of the nose. The skin in this area is thinner and has less signal attenuation, so the facial acquisition points can effectively obtain high-quality prefrontal cortex EEG signals. The flexible electrode material can adapt to the natural curvature of the face, providing stable electrical contact while avoiding the pressure or local discomfort caused by rigid electrodes, allowing users to maintain a comfortable experience during long-term wear.

[0068] The ear collection point is arranged on the inner side of the arm bend of the intelligent glasses, and through the arm bend, the ear collection point can be stably attached to the skin surface according to the auricle structure. The electrode can be selected as a silver / silver chloride electrode sheet with a diameter of about 5 mm, and a copper-gold plating treatment is performed on the surface of the electrode, so that the signal transmission efficiency can be enhanced by improving the conductivity and skin contact quality, and the electrode can maintain a continuous and stable contact state in daily wearing, low amplitude motion and other scenarios, and reduce the brain electrical data jitter caused by contact impedance fluctuation.

[0069] In one embodiment, the signal collection module can further include a backup collection point.

[0070] The backup collection point is in the form of an external component and is electrically connected to the control module through a wire.

[0071] In this embodiment, as shown in Figure 1 The signal collection module can further include a backup collection point 3, which is usually in the form of an external component and is electrically connected to the control module through a wire, so as to extend the collection position or replace the main collection point when needed.

[0072] It can be understood that the backup collection point has high flexibility; for example, when the facial structure, skin state or wearing posture of the user causes insufficient adhesion of the main collection point, the backup collection point can be quickly deployed at the forehead, temple or ear to compensate for the signal weakening of the main collection point, so as to ensure stable and controllable collection quality.

[0073] In one embodiment, the sensing sensor can be a 6-axis MEMS sensor.

[0074] The 6-axis MEMS sensor is arranged on the outer side of the middle part of the arm of the intelligent glasses, and is used to collect the gravity sensing signal of the target user when the head moves; the gravity sensing signal includes 3-axis acceleration signal and 3-axis angular velocity signal.

[0075] In this embodiment, as shown in Figure 1 The middle part of the arm of the intelligent glasses is provided with a control device 4, and the control device 4 integrates a plurality of modules, including a sensing sensor. The sensing sensor can be a 6-axis MEMS sensor, so as to collect the gravity sensing signal of the target user when the head moves, including 3-axis acceleration signal reflecting linear motion change and 3-axis angular velocity signal reflecting rotation posture change.

[0076] Understandably, 6-axis MEMS sensors possess high sensitivity, enabling them to collect complete gravity sensing information in real time when a user moves their head. Since EEG signals are easily interfered with by head movements or subtle postural changes, the application of 6-axis MEMS sensors allows smart glasses to analyze the collected six-dimensional motion data. This allows for accurate determination of whether the user is exhibiting postural changes such as head tilting, turning to the side, or rapid nodding. Furthermore, it can distinguish motion artifacts from genuine EEG waveforms and effectively eliminate interference from motion when analyzing the user's emotions or attentional state.

[0077] In one embodiment, the control module may include a signal processing unit, a signal analysis unit, a status detection unit, and a signal feedback unit.

[0078] The signal processing unit, signal analysis unit, status detection unit, and signal feedback unit are electrically connected in sequence and are all located on the outer side of the middle part of the temple of the smart glasses.

[0079] The signal processing unit is used to preprocess the received EEG signals and gravity sensing signals to obtain analyzable signals.

[0080] The signal analysis unit is used to perform real-time analysis on analyzable signals and determine the real-time status of the target user based on the analysis results.

[0081] The state detection unit is used to determine whether the real-time state meets the EEG detection state conditions, and to determine the state adjustment parameters corresponding to the real-time state when the conditions are not met.

[0082] The signal feedback unit is used to generate control signals corresponding to the state adjustment parameters.

[0083] In this embodiment, as Figure 1 As shown, the control device 4 also integrates a control module, which can be divided into a signal processing unit, a signal analysis unit, a status detection unit, and a signal feedback unit. Each module performs a corresponding function, thus the overall design of the control module constitutes the core decision-making chain from signal input and data parsing to status judgment and feedback output.

[0084] Specifically, through signal preprocessing by the signal processing unit, noise interference from the raw signals from the signal acquisition module and sensing sensors can be effectively suppressed, thereby forming high-quality analyzable signals that can be directly used for analysis. Subsequently, the signal analysis unit can perform real-time calculations on these analyzable signals, extract EEG features and motion features, and identify changes in features of different frequency bands based on a preset algorithm model, thereby determining the target user's emotional state, attention level, or fatigue level at the current moment, and realizing intelligent judgment of the user's real-time state.

[0085] When the obtained real-time state input is input to the state detection unit, the state detection unit can further compare the state detection condition according to the electroencephalogram to determine whether the real-time state of the user belongs to a normal range; if it is detected that the real-time state has deviated from the preset target range, the state detection unit can determine the corresponding state adjustment parameter based on the deviation degree, so that the signal feedback unit can generate a control signal according to the determined state adjustment parameter, to drive the feedback adjustment module to carry out corresponding intervention actions, so as to actively provide reminders, guidance or adjustment when the user does not timely perceive the state change.

[0086] For example, after the control module analyzes the electroencephalogram signal and the gravity sensing signal, if the analysis result shows that the user's head is stable but the beta wave is weakened, it can be determined that the real-time state of the user is "attention decline"; if the analysis result shows that the user's head is slightly trembling and the theta wave is enhanced, it can be determined that the real-time state of the user is "anxiety state". At this time, the control module can generate a control signal corresponding to the real-time state to trigger the feedback adjustment module to intervene and adjust the detection state of the user. In the process of detecting that the brain waves in the real-time collected electroencephalogram signal gradually return to the normal range, the control module can gradually reduce the feedback intensity of the control signal until it stops.

[0087] In one embodiment, the signal processing unit can include a filter circuit and an amplification circuit.

[0088] The filter circuit is used to filter the power frequency interference in the electroencephalogram signal and the gravity sensing signal to obtain a filtered signal.

[0089] The amplification circuit is used to amplify the filtered signal to an analyzable level to form an analyzable signal.

[0090] In this embodiment, the signal processing unit mainly consists of a filter circuit and an amplification circuit. The filter circuit is mainly responsible for filtering the power frequency interference in the electroencephalogram signal and the gravity sensing signal to obtain a filtered signal; and the amplification circuit is mainly responsible for amplifying the filtered signal to an analyzable level to form an analyzable signal. Through the combination of the filter circuit and the amplification circuit, the signal processing unit can realize high-quality preprocessing of the original signal, effectively reducing the influence of environmental noise, skin impedance changes, electrode contact fluctuations and other factors on the signal.

[0091] It can be understood that the signal processing unit can clean the collected weak bioelectric signals in the frequency domain through the filtering circuit, effectively suppress the common power frequency interference components in the electroencephalogram signal, such as 50Hz or 60Hz power grid noise, make the main components of the signal more prominent, and the waveform more smooth, so as to obtain a filtered signal with the least distortion. The amplification circuit can improve the signal amplitude on the basis of filtering. Since the electroencephalogram signal is usually in the microvolt level, direct participation in feature extraction will cause analysis error due to too small amplitude, so the amplification circuit can use a high signal-to-noise ratio amplification structure to stably improve the filtered signal to an analyzable level, so that the signal can be accurately recognized and separated by the subsequent algorithm.

[0092] In one embodiment, the feedback adjustment module can include an audio playing unit and a vibration feedback unit.

[0093] The audio playing unit is arranged on the inner side of the arm bend of the temple of the smart glasses, and is used to play corresponding audio data according to audio parameters in the audio signal when the control signal is an audio signal.

[0094] The vibration feedback unit is arranged on the outer side of the middle part of the temple of the smart glasses, and is used to output corresponding vibration actions according to vibration parameters in the vibration signal when the control signal is a vibration signal.

[0095] In this embodiment, as shown in Figure 1 The feedback adjustment module is mainly composed of an audio playing unit 5 and a vibration feedback unit, and the vibration feedback unit is integrated in the control device on the outer side of the middle part of the temple. Functionally, the audio playing unit can be triggered when the control signal is an audio signal, and play corresponding audio data according to audio parameters in the audio signal; and the vibration feedback unit can be triggered when the control signal is a vibration signal, and output corresponding vibration actions according to vibration parameters in the vibration signal.

[0096] Specifically, the audio playing unit can use a micro speaker, which pre-stores various emotion adjustment audios, including emotion dimensions such as “tension - calmness” and “anxiety - relaxation”; for example, a short prompt sound can be played to remind when attention decreases, and soothing light music can be played to assist relaxation when emotions are tense. The vibration feedback unit has a vibration function of 0.5-5Hz frequency and adjustable intensity; for example, regular vibration at 2-3Hz can be used to remind when attention decreases, and soft vibration at 1Hz can be used to assist relaxation when emotions are tense.

[0097] In one embodiment, the signal interaction module can include a double-input channel and a double-output channel.

[0098] The double-input channel is connected with the signal collection module and the perception sensor respectively, and is used to synchronously transmit the electroencephalogram signal and the gravity induction signal to the control module.

[0099] The dual output channels are connected to the audio playback unit and the vibration feedback unit respectively, and are used to transmit the audio signal and vibration signal generated in the control module to the audio playback unit and the vibration feedback unit respectively.

[0100] In this embodiment, the signal interaction module can form a complete closed-loop interaction path through dual input channels and dual output channels. The dual input channels are connected to the signal acquisition module and the sensing sensor, respectively, to synchronously transmit EEG signals and gravity sensing signals to the control module.

[0101] Understandably, through the dual input channels, EEG signals from the signal acquisition module and gravity sensing signals from the perception sensor can be transmitted to the control module synchronously and with low latency. By ensuring the consistency of the two types of signals in the time dimension, the accuracy of user detection state recognition is significantly improved. Furthermore, the dual output channels can immediately distribute the control signals generated by the control module to the corresponding feedback units and trigger appropriate adjustment actions. Thus, whether it's audio prompts or vibration feedback, rapid and reliable command transmission can be achieved through this channel, allowing for timely adjustment of the user's detection state.

[0102] In one embodiment, the temples of the smart glasses have a foldable structure to fit the ear contours of different target users.

[0103] In this embodiment, the temples of the smart glasses adopt a foldable structure. When unfolded, the temples automatically adapt to the curve of the ear, ensuring more stable and uniform contact between the ear-sensing points on the inner side of the temples and the skin. This significantly improves the fit of the electrodes and the consistency of contact impedance. Furthermore, when folded, the temples of the smart glasses can reduce the temple angle, decreasing the overall size and making them easier to carry and store.

[0104] The following describes the electroencephalogram (EEG) detection method provided in the embodiments of this application. The EEG detection method described below is applied to the smart glasses described above.

[0105] In one embodiment, such as Figure 2 As shown, Figure 2 This application provides a flowchart illustrating an electroencephalogram (EEG) detection method according to an embodiment of the present application. The application also provides an EEG detection method applicable to smart glasses, specifically including the following:

[0106] S110: Collects the target user's EEG signals through the signal acquisition module, and collects the gravity sensing signals generated by the target user's head movements through the sensing sensor.

[0107] S120: Analyzing the state of the EEG signal and the gravity sensing signal using a preset state recognition module to obtain the real-time state of the target user.

[0108] S130: Determining whether the real-time state meets the EEG detection state condition.

[0109] S140: If yes, continuously recording and storing the EEG signal.

[0110] S150: If no, stopping the recording and storing operation of the EEG signal, determining the state adjustment parameter corresponding to the real-time state, and generating a control signal corresponding to the state adjustment parameter to trigger the feedback adjustment module to perform state adjustment operation on the target user according to the control signal.

[0111] In this embodiment, when the target user wears the smart glasses, the smart glasses can collect the EEG signal of the target user through the signal acquisition module, and collect the gravity sensing signal generated when the target user moves his head through the perception sensor, and then can analyze the state of the EEG signal and the gravity sensing signal to obtain the real-time state of the target user. If the real-time state meets the EEG detection state condition, the EEG signal can be continuously recorded and stored. Otherwise, the recording and storing operation of the EEG signal needs to be stopped, and the state adjustment parameter corresponding to the real-time state is determined, and a control signal corresponding to the state adjustment parameter is generated, so that the feedback adjustment module can be triggered to perform state adjustment operation on the target user according to the control signal, until the real-time state of the user meets the EEG detection state condition, and the recorded EEG signal is continuously recorded and stored.

[0112] Specifically, the smart glasses can collect the EEG signal reflecting the emotional and cognitive state of the target user in real time through the signal acquisition module, and can also capture the motion information of the user's head through the axis perception sensor to form a gravity sensing signal. After filtering, feature extraction and fusion analysis of these two types of signals in the control module, the control module can accurately determine the real-time state of the target user, such as attention decline, emotional tension or anxiety level, and then can determine whether the EEG signal collected at this time is affected by noise according to the judgment of the real-time state.

[0113] Further, if the analysis result shows that the user is in a stable and suitable state for electroencephalogram detection, such as concentration, head keeping relatively still, and clear signal, the smart glasses can automatically enter a continuous recording mode to store high-quality electroencephalogram signals and provide a reliable data basis for subsequent analysis. On the contrary, if it is identified that the user is in a state of decreased attention, emotional tension, or large motion interference, the smart glasses will suspend the recording and storage of the electroencephalogram signals to avoid signal distortion or invalid data caused by poor state. In this case, the control module can dynamically determine the matching state adjustment parameters according to the identified real-time state and generate corresponding control instructions to trigger the feedback adjustment module for dual-mode collaborative intervention of audio and vibration, such as outputting soothing audio and slight vibration when emotional tension is detected, and outputting short prompt sound and high-frequency vibration when attention is detected. Once the smart glasses detect that the real-time state of the user meets the conditions for electroencephalogram detection again, the signal recording is automatically resumed, thereby realizing the closed-loop management of "collection-analysis-feedback-re-collection" and ensuring the effectiveness and continuity of electroencephalogram collection.

[0114] Finally, it should be noted that the terms such as first and second, etc. are merely used to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device. Without more limitations, the element defined by the statement "including a" does not exclude the presence of other identical elements in the process, method, article or device including the element.

[0115] The various embodiments in the specification are described in a progressive manner, each embodiment focusing on the differences from other embodiments, and the various embodiments can be combined as needed, and the same and similar parts refer to each other.

[0116] The above description of the disclosed embodiments enables a person skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A type of smart glasses, characterized in that, The smart glasses include a signal acquisition module, a sensing sensor, a control module, a feedback adjustment module, and a signal interaction module; The signal acquisition module, the sensing sensor, and the feedback adjustment module are all electrically connected to the control module through the signal interaction module; The signal acquisition module is used to acquire the target user's electroencephalogram (EEG) signals through multiple channels; The sensing sensor is used to collect gravity sensing signals generated by the target user when the head moves; The control module is used to analyze the real-time state of the target user based on the electroencephalogram (EEG) signal and the gravity sensing signal, and to generate a corresponding control signal when there is an abnormality in the analysis result. The feedback adjustment module is used to perform corresponding state adjustment operations on the target user according to the control signal; The signal interaction module is used for signal transmission between the control module and other modules.

2. The smart glasses according to claim 1, characterized in that, The signal acquisition module includes a face acquisition point and an ear acquisition point; The facial recognition point uses flexible electrodes and is positioned above the nose pad of the smart glasses; The ear sampling point uses a silver chloride electrode and is located on the inside of the temple of the smart glasses.

3. The smart glasses according to claim 1, characterized in that, The signal acquisition module also includes backup acquisition points; The backup acquisition point is an external component that is electrically connected to the control module via a wire.

4. The smart glasses according to claim 1, characterized in that, The sensing sensor is a 6-axis MEMS sensor. The 6-axis MEMS sensor is located on the outer side of the middle part of the temple of the smart glasses and is used to collect gravity sensing signals when the target user moves his head; the gravity sensing signals include 3-axis acceleration signals and 3-axis angular velocity signals.

5. The smart glasses according to claim 1, characterized in that, The control module includes a signal processing unit, a signal analysis unit, a status detection unit, and a signal feedback unit; The signal processing unit, the signal analysis unit, the state detection unit, and the signal feedback unit are electrically connected in sequence and are disposed on the outer side of the middle part of the temple of the smart glasses; The signal processing unit is used to preprocess the received EEG signal and gravity sensing signal to obtain an analyzable signal. The signal analysis unit is used to perform real-time analysis on the analyzable signal and determine the real-time status of the target user based on the analysis results; The state detection unit is used to determine whether the real-time state meets the EEG detection state conditions, and to determine the state adjustment parameters corresponding to the real-time state when the conditions are not met. The signal feedback unit is used to generate a control signal corresponding to the state adjustment parameters.

6. The smart glasses according to claim 5, characterized in that, The signal processing unit includes a filtering circuit and an amplification circuit; The filtering circuit is used to filter out power frequency interference in the electroencephalogram signal and the gravity sensing signal to obtain a filtered signal. The amplifier circuit is used to amplify the filtered signal to an analyzable level, forming an analyzable signal.

7. The smart glasses according to claim 1, characterized in that, The feedback adjustment module includes an audio playback unit and a vibration feedback unit; The audio playback unit is located on the inner side of the temple of the smart glasses and is used to play corresponding audio data according to the audio parameters in the audio signal when the control signal is an audio signal. The vibration feedback unit is located on the outer side of the middle part of the temple of the smart glasses, and is used to output a corresponding vibration action according to the vibration parameters in the vibration signal when the control signal is a vibration signal.

8. The smart glasses according to claim 7, characterized in that, The signal interaction module includes dual input channels and dual output channels; The dual input channels are respectively connected to the signal acquisition module and the sensing sensor, and are used to synchronously transmit the electroencephalogram signal and the gravity sensing signal to the control module. The dual output channels are connected to the audio playback unit and the vibration feedback unit respectively, and are used to transmit the audio signal and vibration signal generated in the control module to the audio playback unit and the vibration feedback unit respectively.

9. The smart glasses according to claim 1, characterized in that, The smart glasses feature foldable temples to fit the ear contours of different target users.

10. A brainwave detection method, applied to the smart glasses according to any one of claims 1-9, characterized in that, The method includes: The system acquires the target user's electroencephalogram (EEG) signals through a signal acquisition module and the system acquires the gravity sensing signals generated by the target user during head movements through a sensing sensor. The real-time state of the target user is obtained by using a preset state recognition module to analyze the EEG signal and the gravity sensor signal. Determine whether the real-time state meets the conditions for EEG detection; If so, the EEG signals are continuously recorded and stored; If not, then stop the recording and storage of the EEG signal, determine the state adjustment parameters corresponding to the real-time state, and generate a control signal corresponding to the state adjustment parameters, so as to trigger the feedback adjustment module to perform state adjustment operations on the target user according to the control signal.

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