Micro-gesture recognition apparatus and smart wearable device

Abstract

The present disclosure relates to the technical field of human-computer interaction devices, and provides a micro-gesture recognition device and a smart wearable device. The micro-gesture recognition device comprises a shell and: a micro laser emission and feedback receiving module for emitting a laser beam and receiving feedback light, and outputting an electrical signal carrying target micro-level motion information; a signal demodulation module for pre-processing the electrical signal and extracting motion parameters of the target; a micro-gesture feature recognition module for comparing the motion parameters with features in a preset micro-motion feature database, and recognizing subtle gesture actions; an interaction instruction conversion module for converting the recognized subtle gesture actions into standardized interaction instructions and outputting the same; and a power management module. The micro laser emission and feedback receiving module, the signal demodulation module, the micro-gesture feature recognition module, the interaction instruction conversion module and the power management module are all integrated in the shell to form a chip-level integrated packaging structure without an independent reference light path.

Description

Technical Field

[0001] This disclosure relates to the field of human-computer interaction equipment technology, and in particular to a micro-gesture recognition device and a smart wearable device. Background Technology

[0002] As wearable devices develop towards miniaturization and seamless operation, contactless micro-gesture interaction has become a core requirement for human-computer interaction.

[0003] However, existing gesture recognition devices have many shortcomings: traditional photoplethysmography sensors have low accuracy and can only recognize coarse movements; infrared or capacitive sensors are susceptible to interference and have poor scene adaptability; camera-based devices are large in size, consume a lot of power, and pose privacy risks; traditional optical interferometry devices have complex structures, making it difficult to achieve miniaturization and packaging, and cannot be adapted to the narrow installation space of wearable devices.

[0004] Therefore, how to adapt gesture recognition devices to the installation and use requirements of various micro wearable devices has become an urgent technical problem to be solved. Summary of the Invention

[0005] In view of this, the present disclosure provides a micro-gesture recognition device and a smart wearable device to solve the technical problem that gesture recognition devices in the prior art cannot adapt to the installation and use requirements of micro-wearable devices.

[0006] To achieve the above objectives, the technical solution adopted in this disclosure is: A first aspect of this disclosure provides a micro-gesture recognition device, including a housing and: a micro laser emitting and feedback receiving module, used to emit a laser beam and receive feedback light that re-enters the laser cavity after being reflected by a target, and output an electrical signal carrying micron-level motion information of the target based on a self-mixing interference effect; a signal demodulation module, electrically connected to the micro laser emitting and feedback receiving module, used to preprocess the electrical signal and extract the motion parameters of the target, wherein the measurement accuracy of the motion parameters is sub-micron level; and a micro-gesture feature recognition module, electrically connected to the signal demodulation module, having a built-in preset micro-motion feature database, used to compare the motion parameters with preset... The micro-motion feature database is compared to identify subtle hand gestures; the interaction command conversion module, electrically connected to the micro-gesture feature recognition module, is used to convert the identified subtle hand gestures into standardized interaction commands and output them; the power management module is used to power the micro laser emission and feedback receiving module, the signal demodulation module, the micro-gesture feature recognition module, and the interaction command conversion module; among them, the micro laser emission and feedback receiving module, the signal demodulation module, the micro-gesture feature recognition module, the interaction command conversion module, and the power management module are all integrated into the housing, forming a chip-level integrated package structure that does not require an independent reference optical path.

[0007] In some embodiments, the micro laser emitting and feedback receiving module includes a vertical cavity surface emitting laser (VCSEL), wherein the emitting end face of the VCSEL is flush with or tilted at an angle of 15° to 45° to the outer end face of the housing.

[0008] In some embodiments, the signal demodulation module includes a signal conditioning unit and a motion parameter extraction unit. The signal conditioning unit has built-in signal amplification circuit and filter circuit, which are used to amplify and preprocess the interference electrical signal for noise reduction. The motion parameter extraction unit is used to analyze the signal features and extract the target motion parameters.

[0009] In some embodiments, a preset micro-motion feature database is stored in the ROM or flash memory partition built into the micro-gesture feature recognition module. The preset micro-motion feature database stores micron-level motion feature vectors corresponding to micro-sliding gestures and / or micro-trembling gestures.

[0010] In some embodiments, the interactive instruction conversion module includes an instruction mapping unit and a wireless communication unit. The instruction mapping unit is used to map subtle gestures into standardized interactive instructions, and the wireless communication unit is used to output the standardized interactive instructions to the controlled terminal.

[0011] In some embodiments, the micro laser emission and feedback receiving module, the signal demodulation module, the micro gesture feature recognition module, and the interactive command conversion module are arranged sequentially along the length of the housing and are electrically connected by gold strip bonding or micro pads.

[0012] In some embodiments, the modules are integrated on the same printed circuit board, which is fixed to the inner cavity of the housing, and the surface of the housing is provided with a flame-retardant insulating encapsulating layer.

[0013] In some embodiments, the power management module includes a low-power voltage regulator chip and a power monitoring unit. The power management module is independently connected to the power supply terminal of each power-consuming module to provide independent power to each power-consuming module.

[0014] In some embodiments, the micro-gesture recognition device is sized to fit the installation space of a smart ring, the temple of an augmented reality (AR) glasses, or a smart wristband, enabling contactless, touchpad-free micro-gesture-based fine-grained interaction.

[0015] A second aspect of this disclosure provides a smart wearable device, including a wearable device body and a micro-gesture recognition device according to the first aspect of this disclosure. The wearable device body includes any one of the following: a smart ring body, an AR glasses body, or a smart wristband body.

[0016] The beneficial effects of the embodiments disclosed herein compared with the prior art include: the technical solution of the embodiments disclosed herein integrates multiple modules such as a micro laser emission and feedback receiving module and a micro gesture feature recognition module into a housing, forming a chip-level integrated packaging structure that does not require an independent reference optical path. This makes the micro gesture recognition device compact, miniaturized, and low-power, capable of achieving micron-level micro gesture recognition, with strong anti-interference capabilities, good privacy, and adaptable to various micro wearable devices. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this disclosure, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of the micro-gesture recognition device provided in the embodiments of this disclosure; Figure 2 This is a schematic diagram of the structure of the signal demodulation module provided in an embodiment of this disclosure; Figure 3 This is a schematic diagram of the working process of the micro-gesture recognition device provided in the embodiments of this disclosure. Detailed Implementation

[0019] To make the technical problems, technical solutions, and beneficial effects to be solved by this disclosure clearer, the disclosure will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only for explaining this disclosure and are not intended to limit this disclosure.

[0020] It should be noted that when a component is referred to as "fixed to" or "set on" another component, it may be directly or indirectly located on that other component. When a component is referred to as "connected to" another component, it may be directly or indirectly connected to that other component. The terms "upper," "lower," "left," "right," "front," "rear," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicate orientations or positions based on the accompanying drawings, and are for ease of description only, and should not be construed as limiting the technical solution. The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features. "A plurality" means two or more, unless otherwise explicitly defined.

[0021] While Self-Mixing Interference (SMI) technology can be used in measurement scenarios, existing SMI devices are mostly designed for industrial measurement and fail to meet the miniaturization and low power consumption requirements of wearable devices. Specific shortcomings include: cumbersome structural design and low integration, making it unsuitable for embedding in small devices such as smart rings and AR glasses; a lack of targeted signal processing and command conversion structures, making it difficult to achieve stable recognition and control of micro-level micro-gestures; and overall, it fails to meet the practical needs of consumer-grade wearable devices.

[0022] To address the problems of existing gesture recognition devices, such as complex structure, large size, low integration, insufficient accuracy, and inability to adapt to micro wearable devices, this invention provides an ultra-high precision micro gesture recognition device based on self-mixed interferometry.

[0023] Specifically, the micro-gesture recognition device in the technical solution of the present invention integrates a single laser sensing chip and a signal processing chip into a miniaturized device, thereby solving the contradictions of large size, low accuracy and high power consumption of traditional devices, and realizing "zero visual dependence" high-precision interaction of wearable devices.

[0024] The micro-gesture recognition device and smart wearable device according to embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings.

[0025] Figure 1 This is a schematic diagram of the micro-gesture recognition device provided in the embodiments of this disclosure; Figure 2 This is a schematic diagram of the structure of the signal demodulation module provided in an embodiment of this disclosure; Figure 3 This is a schematic diagram illustrating the workflow of the micro-gesture recognition device provided in the embodiments of this disclosure. The following is in conjunction with... Figures 1 to 3 Let us describe together the micro-gesture recognition device and smart wearable device provided in the embodiments of this disclosure.

[0026] like Figure 1As shown, this embodiment of the present disclosure provides a micro-gesture recognition device, including a housing 110 and: a micro laser emitting and feedback receiving module 101, used to emit a laser beam and receive feedback light that re-enters the laser cavity after being reflected by the target, and output an electrical signal carrying micron-level motion information of the target based on the self-mixing interference effect; a signal demodulation module 102, electrically connected to the micro laser emitting and feedback receiving module, used to preprocess the electrical signal and extract the motion parameters of the target, the measurement accuracy of the motion parameters being sub-micron level; and a micro-gesture feature recognition module 103, electrically connected to the signal demodulation module, having a built-in preset micro-motion feature database, used to combine the motion parameters with... The system compares features in a pre-set micro-motion feature database to identify subtle hand gestures. The interactive command conversion module 104, electrically connected to the micro-gesture feature recognition module, converts the identified subtle hand gestures into standardized interactive commands and outputs them. The power management module 105 provides power to the micro laser emission and feedback receiving module, the signal demodulation module, the micro-gesture feature recognition module, and the interactive command conversion module. The micro laser emission and feedback receiving module, the signal demodulation module, the micro-gesture feature recognition module, the interactive command conversion module, and the power management module are all integrated into the housing, forming a chip-level integrated package structure that does not require an independent reference optical path.

[0027] The technical solution of this disclosure achieves high-sensitivity capture of micron-level motion information through self-mixing interference effect. Combined with submicron-level motion parameter extraction, comparison with a preset micro-motion feature database, and command conversion, a complete recognition and command output loop from optical perception to interactive command output is formed. The chip-level integrated packaging eliminates the need for an independent reference optical path, greatly reducing the size of the device and the complexity of the system, and providing a high-precision, low-power, and interference-resistant micro-gesture recognition solution for wearable devices.

[0028] In this embodiment, the miniature laser emitting and feedback receiving module includes a VCSEL (Vertical-Cavity Surface-Emitting Laser). The emitting end face of the VCSEL is flush with or tilted at an angle of 15° to 45° to the outer end face of the housing. Specifically, the VCSEL is fixed to one end of the housing, emits a directional laser to the target action area, receives feedback light, and outputs a hybrid interference electrical signal.

[0029] Using VCSEL as the light source, it is small in size, low in power consumption, and easy to integrate; the emitting end face is flush with the housing or at an angle of 15°-45°, which can flexibly adapt to different micro-gesture action acquisition directions such as vertical pressing or parallel sliding of the fingertip, improving the accuracy of gesture detection and the user's degree of freedom of operation.

[0030] Specifically, when the micro-gesture recognition device is applied to a smart ring, the VCSEL is fixed to one end of the housing near the outside of the ring, with the laser emission direction facing outwards from the housing. The optical field of view of the VCSEL can be 30°×30°, covering the normal operating area of ​​the fingertip within an effective detection distance of 10mm-50mm from the sensor. It is used to emit directional laser beams to target areas such as desktops and trouser seams, while simultaneously receiving feedback light reflected from the target surface, outputting a self-mixed interference electrical signal carrying motion information, and transmitting the signal to the signal demodulation module.

[0031] like Figure 2 As shown, the signal demodulation module includes a signal conditioning unit 1021 and a motion parameter extraction unit 1022. The signal conditioning unit incorporates a high-precision signal amplification circuit and a filtering circuit for amplifying and denoising the interference electrical signal. The motion parameter extraction unit is used to analyze signal features and extract target motion parameters. Specifically, after amplifying and denoising the interference signal to remove environmental interference signals, the frequency, amplitude, and phase features of the signal can be analyzed using a phase analysis algorithm to extract the target's relative displacement, velocity, and absolute distance parameters, achieving subwavelength resolution micrometer-level measurement. The parameters are then transmitted to the micro-gesture feature recognition module. In this embodiment, the signal demodulation module has a measurement accuracy of 0.1μm-1μm, enabling precise extraction of micrometer-level parameters such as fingertip relative displacement and velocity, which are then transmitted to the micro-gesture feature recognition module.

[0032] The signal conditioning unit effectively suppresses noise and enhances weak interference signals, ensuring the reliability of subsequent parameter extraction. The motion parameter extraction unit accurately analyzes the phase, frequency and other characteristics of the mixed interference signal to obtain sub-micron level motion parameters, laying a data foundation for accurate micro-gesture recognition.

[0033] In this embodiment, a preset micro-motion feature database is stored in the ROM or flash memory partition built into the micro-gesture feature recognition module. This database stores micrometer-level motion feature vectors corresponding to micro-swiping and / or micro-trembling gestures. Specifically, feature comparison of the micrometer-level motion data can identify subtle gestures such as fingertip swiping and micro-trembling, eliminating interference, and transmitting the valid signal to the interaction command conversion module. Specifically, the preset micro-motion feature database may include motion features such as left-right swiping, up-down rubbing, and pressing micro-trembling. Comparing the received motion parameters with the preset micro-motion feature database can filter out valid micro-gestures, eliminating interference from everyday limb movements, and then transmitting the valid signal to the interaction command conversion module.

[0034] By embedding the feature vectors of specific micro-gestures such as micro-slides and micro-tremors into the local ROM / flash memory, it achieves millisecond-level ultra-fast comparison and recognition without relying on external storage or network; at the same time, it avoids the transmission of user gesture data, thus enhancing privacy protection.

[0035] In this embodiment, the interaction command conversion module includes a command mapping unit and a wireless communication unit. The command mapping unit maps subtle gestures into standardized interaction commands, and the wireless communication unit outputs the standardized interaction commands to the controlled terminal. Specifically, the wireless communication unit may include a BLE (Bluetooth Low Energy) module, such as Bluetooth 5.0 or higher. The interaction command conversion module, through its built-in command mapping unit, maps effective micro-gesture signals into standardized interaction commands such as page turning, volume adjustment, and mouse clicks. Then, through the low-power wireless communication module, it wirelessly transmits the standardized interaction commands to paired mobile phones, tablets, or other terminals for precise control.

[0036] The micro-gestures are translated into standard commands in real time by the command mapping unit, and then output to controlled terminals such as mobile phones and AR (Augmented Reality) glasses by the low-power wireless communication unit, so as to achieve seamless interaction of "recognition is control" and significantly improve the ease of operation.

[0037] In this embodiment, the micro laser emission and feedback receiving module, the signal demodulation module, the micro gesture feature recognition module, and the interactive command conversion module are arranged sequentially along the length of the housing and are electrically connected by gold strip bonding or micro pads, and integrated on the same printed circuit board.

[0038] Each module is arranged sequentially along the length of the housing and connected by gold strip bonding or micro pads to form a compact pipeline-style signal link, which shortens the signal transmission distance, reduces parasitic parameters and electromagnetic interference, and improves system stability and response speed.

[0039] In this embodiment of the disclosure, each module is integrated on the same printed circuit board, which is fixed to the inner cavity of the housing. The housing can be a surface mount package with a size not exceeding 5mm × 3mm × 2mm. A flame-retardant insulating encapsulation layer can be provided on the surface of the housing to avoid external electromagnetic interference and physical damage.

[0040] All modules are integrated on the same PCB board and encapsulated in a housing, achieving a high degree of integration; the flame-retardant insulating encapsulation layer provides physical protection, electrical insulation and flame-retardant safety performance, adapting to the harsh usage environment of everyday wearable devices.

[0041] Specifically, when the micro-gesture recognition device is applied to a smart ring, the housing can adopt a ring-shaped patch design, with its inner curvature matching the inner curvature of the smart ring. The housing can be fixed to the top of the ring's inner cavity using medical-grade strong double-sided adhesive or an embedded snap-fit ​​structure, without affecting the ring's circular appearance or wearing radius.

[0042] In this embodiment, the power management module includes a low-power voltage regulator chip and a power monitoring unit. The power management module is independently connected to the power supply terminals of each power-consuming module, providing independent power to each module. The low-power voltage regulator chip ensures stable power supply to each module, while the power monitoring unit monitors the power supply status in real time. The power-consuming modules include a miniature laser emission and feedback receiving module, a signal demodulation module, a micro-gesture feature recognition module, and an interactive command conversion module. The operating current of the power management module is controlled below 5mA, and the standby current is reduced to the μA level. Simultaneously, the power monitoring unit monitors the power supply status in real time to ensure stable device operation.

[0043] The independent power supply architecture allows for fine-grained power management of each module, such as shutting down idle modules as needed. Combined with low-power voltage regulator chips and power monitoring, it minimizes the overall power consumption of the device and extends the battery life of wearable devices.

[0044] In this embodiment, the micro-gesture recognition device is sized to fit the installation space of a smart ring, the temple of augmented reality (AR) glasses, or a smart wristband, enabling contactless, touchpad-free micro-gesture fine-grained interaction.

[0045] The miniaturized size allows the device to be seamlessly embedded in various wearable products without the need for additional touchpads or visual sensors. Users can interact with the device using only minute finger movements such as swiping or trembling, achieving precise control with zero visual dependence. The micro-gesture recognition device of this disclosure can be fully embedded in the inner ring of a smart ring without affecting the ring's wearing and appearance. Users can complete various operations with subtle fingertip movements, with a false touch rate of less than 1%.

[0046] In one embodiment of this disclosure, the aforementioned micro-gesture recognition device is integrated into the temple of augmented reality (AR) glasses. Specifically, the housing of the micro-gesture recognition device is a flat, elongated package, with its length direction aligned with the extension direction of the temple. The housing is embedded entirely into the receiving groove of the temple. The VCSEL emitting end face of the micro laser emitting and feedback receiving module at the end of the housing is flush with the inner wall of the temple and tilted at approximately 30° towards the user's temple to align with the micro-gesture operation space of the user's fingertips in the area near the ear. After wearing the AR glasses, the user only needs to make a small, micro-sliding gesture with their thumb and forefinger on the outside of the temple, such as sliding forward or backward by 1-5 micrometers, or making a slight trembling motion with their fingertips. The laser beam emitted by the VCSEL is reflected by the fingertip and re-enters the laser cavity, forming a self-mixing interference signal. The signal demodulation module amplifies, filters, and demodulates the phase of the interference signal to extract the submicron displacement and direction of movement of the fingertip. The micro-gesture feature recognition module compares the extracted displacement features with micron-level motion feature vectors such as "swipe forward," "swipe backward," and "confirm micro-tremor" pre-stored in the built-in ROM to identify the corresponding micro-gesture. The instruction mapping unit in the interaction instruction conversion module maps the micro-gesture into standardized instructions such as "menu scrolling" and "confirm selection," and sends them to the main control chip of the AR glasses via the low-power Bluetooth wireless communication unit. The entire recognition process does not require the user to raise their hand to operate the camera or touch the touchpad, nor does it rely on an external reference optical path, achieving "zero visual dependence" private and low-latency interaction, which is particularly suitable for scenarios that require maintaining eye focus, such as walking and meetings.

[0047] In another embodiment of this disclosure, a micro-gesture recognition device is integrated into the interior of a smart wristband, such as the inside of a smart bracelet or smartwatch strap buckle. The housing of the micro-gesture recognition device is arc-shaped, conforming to the curved surface of the wristband. The VCSEL of the micro laser emitting and receiving module is positioned facing the back of the user's hand, with its emitting end face flush with the outer shell of the wristband. After wearing the smart wristband, the user can use the fingertips of their other hand to make micrometer-level vertical pressing and sliding or intermittent micro-trembling gestures about 5mm to 10mm above the back of the hand wearing the wristband. Since the emitting end face of the VCSEL is flush with the outer end face of the housing, the laser beam is emitted vertically upwards, directly illuminating the bottom surface of the fingertips. After the mixed interference signal is processed by the signal demodulation module, the micro-gesture feature recognition module calls the feature vectors such as "single-click micro-slide," "double-click micro-slide," and "long-press micro-trembling" stored in the built-in flash memory partition for real-time comparison, with a recognition accuracy of up to 0.1μm. The interaction command conversion module converts the recognition result into Bluetooth standard commands to control the mobile phone, smart home device, or vehicle system paired with the wristband. For example, while driving, users can switch music or answer calls simply by swiping their fingertips near the steering wheel without turning their heads to operate their phones, greatly improving driving safety and operational privacy. Furthermore, because the device uses a chip-level integrated package that eliminates the need for a separate reference optical path, its overall size is smaller than a grain of rice, its power consumption is less than 5mW, and it can operate continuously for more than a week, meeting the stringent requirements of wearable devices for battery life and a slim profile.

[0048] The micro-gesture recognition device based on the embodiments of this disclosure, with its chip-level integrated packaging structure, can also be adapted to other micro wearable devices such as smart finger sleeves, smart gloves, and smart headbands. Regardless of the device it is applied to, its core working principle is the same: using the self-mixing interference effect of VCSELs to capture micron-level motion information, comparing and recognizing it in conjunction with a built-in preset micro-motion feature database, and finally outputting standardized interaction commands. This architecture enables the stable recognition of any extremely subtle movements such as fingertip swiping or trembling, not only solving the problems of large size, high power consumption, and susceptibility to interference of traditional gesture recognition devices, but also opening up a new way for wearable devices to perform high-precision and high-privacy interactions in "visual-free" scenarios.

[0049] like Figure 3 The workflow of the micro-gesture recognition device shown includes the following steps: Step S301: Power on and start the device.

[0050] In step S302, the power management module provides regulated power and simultaneously enables real-time power supply monitoring.

[0051] In step S303, the VCSEL laser is emitted, and the emitted feedback light is received to generate a mixed interference electrical signal.

[0052] Step S304: Real-time monitoring of power supply throughout the process.

[0053] Step S305: Amplify, filter, and perform phase analysis on the electrical signal, and extract micron-level motion parameters.

[0054] Step S306: Match the built-in micro-gesture feature database to filter out daily shaking interference.

[0055] Step S307: Convert the gesture signal into a terminal interaction command.

[0056] Step S308: Send terminal interaction commands to the paired terminal via Bluetooth wirelessly.

[0057] Step S309: Complete precise micro-gesture control.

[0058] This disclosure also provides a smart wearable device, including a wearable device body and the micro-gesture recognition device in the above technical solution. The wearable device body includes any one of the following: a smart ring body, an AR glasses body, or a smart wristband body.

[0059] Integrating the aforementioned micro-gesture recognition device into the main body of smart rings, AR glasses, or smart wristbands upgrades ordinary wearable devices into intelligent interactive terminals with submicron-level micro-gesture recognition capabilities, significantly improving the control dimensions and user experience of the devices, and expanding the application prospects of micro-gesture interaction in consumer electronics, medical rehabilitation, virtual reality, and other fields.

[0060] According to the micro-gesture recognition device and smart wearable device provided in the embodiments of this disclosure, by integrating multiple modules such as a micro laser emission and feedback receiving module and a micro-gesture feature recognition module into the housing, a chip-level integrated packaging structure without the need for an independent reference optical path is formed. As a result, the micro-gesture recognition device has the characteristics of compact structure, miniaturization, and low power consumption. It can realize micron-level micro-gesture recognition, has strong anti-interference ability and good privacy, and can be adapted to various micro wearable devices.

[0061] The above are merely preferred embodiments of this disclosure and are not intended to limit this disclosure. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A micro-gesture recognition device, characterized in that, Including the casing and: The miniature laser emission and feedback receiving module is used to emit a laser beam and receive the feedback light that re-enters the laser cavity after being reflected by the target. Based on the self-mixing interference effect, it outputs an electrical signal carrying micron-level motion information of the target. The signal demodulation module, electrically connected to the micro laser emission and feedback receiving module, is used to preprocess the electrical signal and extract the target's motion parameters, wherein the measurement accuracy of the motion parameters is at the sub-micron level. The micro-gesture feature recognition module is electrically connected to the signal demodulation module and has a built-in preset micro-motion feature database. It is used to compare the motion parameters with the features in the preset micro-motion feature database to identify subtle gestures. An interactive instruction conversion module is electrically connected to the micro-gesture feature recognition module and is used to convert the recognized subtle gestures into standardized interactive instructions and output them. The power management module is used to supply power to the miniature laser emission and feedback receiving module, the signal demodulation module, the micro-gesture feature recognition module, and the interactive command conversion module; The micro laser emission and feedback receiving module, signal demodulation module, micro gesture feature recognition module, interactive command conversion module, and power management module are all integrated into the housing, forming a chip-level integrated package structure that does not require an independent reference optical path.

2. The micro-gesture recognition device according to claim 1, characterized in that, The micro laser emitting and feedback receiving module includes a vertical cavity surface emitting laser (VCSEL), the emitting end face of which is flush with or tilted at an angle of 15° to 45° with the outer end face of the housing.

3. The micro-gesture recognition device according to claim 1, characterized in that, The signal demodulation module includes a signal conditioning unit and a motion parameter extraction unit. The signal conditioning unit has built-in signal amplification and filtering circuits for amplifying and noise reduction preprocessing of the interference electrical signal. The motion parameter extraction unit is used to analyze signal features and extract target motion parameters.

4. The micro-gesture recognition device according to claim 1, characterized in that, The preset micro-motion feature database is stored in the ROM or flash memory partition built into the micro-gesture feature recognition module. The preset micro-motion feature database stores micron-level motion feature vectors corresponding to micro-sliding gestures and / or micro-trembling gestures.

5. The micro-gesture recognition device according to claim 1, characterized in that, The interactive instruction conversion module includes an instruction mapping unit and a wireless communication unit. The instruction mapping unit is used to map subtle gestures into standardized interactive instructions, and the wireless communication unit is used to output the standardized interactive instructions to the controlled terminal.

6. The micro-gesture recognition device according to claim 1, characterized in that, The micro laser emission and feedback receiving module, the signal demodulation module, the micro gesture feature recognition module, and the interactive command conversion module are arranged sequentially along the length of the housing and are electrically connected by gold strip bonding or micro pads.

7. The micro-gesture recognition device according to claim 1, characterized in that, Each module is integrated on the same printed circuit board, which is fixed to the inner cavity of the housing. The surface of the housing is provided with a flame-retardant insulating encapsulating layer.

8. The micro-gesture recognition device according to claim 1, characterized in that, The power management module includes a low-power voltage regulator chip and a power monitoring unit. The power management module is independently connected to the power supply terminal of each power-consuming module, providing independent power to each power-consuming module.

9. The micro-gesture recognition device according to any one of claims 1 to 8, characterized in that, The micro-gesture recognition device is sized to fit the installation space of smart rings, augmented reality (AR) glasses temples, or smart wristbands, enabling non-contact, touchpad-free micro-gesture fine-grained interaction.

10. A smart wearable device, comprising a wearable device body and a micro-gesture recognition device as described in any one of claims 1 to 9, wherein the wearable device body comprises any one of the following: a smart ring body, an AR glasses body, or a smart wristband body.

Images