Silk fabric sensor and its application in gesture recognition

Abstract

The application provides a silk fabric sensor and application thereof in gesture recognition, and belongs to the technical field of flexible electronics and wearable sensing. X MXene nanosheets are functional fillers, and Ti X MXene nanosheets are loaded on the surface of silk fibers through an immersion coating process to form a core-shell structure conductive fabric, and Ti X MXene and silk fibroin are stably combined through a hydrogen bond network and electrostatic interaction, the water vapor transmission rate of the sensor is more than 2000 g / m²・day, the sensitivity coefficient GF in the low strain region of 0-18% is 149.31, and the sensitivity coefficient GF in the high strain region of 18-32% is 24.57. X MXene nanosheets are functional fillers, and stable combination of MXene and silk fibers is realized through optimization of a preparation process, so that the application has high sensitivity, good air permeability and excellent fatigue resistance, and a high-precision and low-delay gesture recognition and human-computer interaction system is constructed.

Description

Technical Field

[0001] This invention provides a sensor based on silk fabric and its application in gesture recognition, belonging to the field of flexible electronics and wearable sensing technology. Background Technology

[0002] With the rapid development of artificial intelligence, robotics, and telemedicine, wearable flexible strain sensors have attracted widespread attention as core components in fields such as human-computer interaction, physiological signal monitoring, and virtual reality. Flexible sensors need to possess good flexibility, wearing comfort, high sensitivity, and stable sensing performance to adapt to the complex deformation of human skin and the needs of long-term wear.

[0003] Currently, the flexible frameworks of flexible sensors are mostly made of synthetic polymers (such as polydimethylsiloxane and polyimide) or man-made fiber fabrics. Although these materials have a certain degree of flexibility, they suffer from poor biocompatibility, poor breathability, and insufficient adhesion to human skin, which can easily cause discomfort after long-term wear, limiting their practical application in wearable devices. Natural silk fabric, as a traditional natural polymer material, has excellent biocompatibility, softness, breathability, and porous structure, making it an ideal framework material for constructing wearable flexible sensors. However, natural silk itself is not conductive, and sensing performance needs to be achieved by loading conductive fillers.

[0004] Two-dimensional Ti3C2T x MXene nanosheets, as a novel two-dimensional transition metal carbide material, possess extremely high conductivity, good flexibility, and abundant surface functional groups, and are widely used in the field of flexible sensing. However, current technologies for combining MXene with silk fabrics often employ simple coating or physical mixing methods, which suffer from problems such as uneven MXene loading, weak bonding at the silk fiber interface, and easy damage to the conductive network. This results in insufficient sensor sensitivity, fatigue resistance, and long-term stability, making it difficult to meet the requirements of high-precision, high-frequency deformation monitoring scenarios such as gesture recognition.

[0005] Furthermore, existing gesture recognition systems mostly employ rigid sensors or wireless signal transmission methods, which suffer from drawbacks such as uncomfortable wear, signal delay, and weak anti-interference capabilities, failing to achieve accurate, real-time capture and synchronous response to gesture movements. Therefore, developing a flexible sensor based on silk fabric that combines high sensitivity, good breathability, excellent fatigue resistance, and accurate gesture recognition has significant practical value and application prospects. Summary of the Invention

[0006] To address the problems of poor wearability of flexible sensors, weak bonding between MXene and silk fabric, insufficient sensing performance, and response delay and weak anti-interference ability of gesture recognition systems in existing technologies, this invention provides a silk fabric-based sensor and its application in gesture recognition. This sensor uses natural mulberry silk fabric as a flexible framework and incorporates Ti3C2T... x MXene nanosheets are used as functional fillers. By optimizing the preparation process, MXene is stably combined with silk fibers, which has high sensitivity, good air permeability and excellent fatigue resistance. At the same time, a high-precision, low-latency gesture recognition and human-computer interaction system can be constructed.

[0007] To address the aforementioned problems, the proposed technical solution is as follows: a sensor based on silk fabric and its application in gesture recognition, comprising using degummed natural mulberry silk fabric as a flexible framework, and a two-dimensional Ti3C2T... x MXene nanosheets are used as functional fillers, and the Ti3C2T x MXene nanosheets were loaded onto the surface of silk fibers via an impregnation coating process to form a core-shell structured conductive fabric, and Ti3C2T x MXene and silk fibroin are stably bonded together through a hydrogen bond network and electrostatic interactions. The sensor has a water vapor transmission rate of over 2000 g / m²·day, a sensitivity coefficient GF of 149.31 in the low strain region of 0-18%, and a sensitivity coefficient GF of 24.57 in the high strain region of 18-32%.

[0008] Furthermore, the pretreatment process of the natural mulberry silk fabric is as follows: the mulberry silk fabric is boiled in a 0.5wt% Na2CO3 solution for 30 minutes to degumme, and then the front and back sides of the fabric are subjected to oxygen plasma treatment for 60 seconds under a vacuum of 10Pa and an output power of 100W. The warp density of the mulberry silk fabric is 120 threads / cm and the weft density is 60 threads / cm.

[0009] Furthermore, the two-dimensional Ti3C2T x MXene nanosheets were prepared using a modified in-situ hydrofluoric acid etching strategy. The specific steps were as follows: LiF was dissolved in a 9 mol / L HCl solution, Ti3AlC2MAX phase powder was added, and the mixture was magnetically stirred at 35°C for 36 h. After centrifugation and washing until the supernatant was neutral, the supernatant was removed by ultrasonic exfoliation in an ice bath and centrifugation to obtain monolayers or few layers of Ti3C2T. x MXene nanosheet dispersion; preparation of Ti3C2T xWhen preparing MXene nanosheets, the ratio of LiF and Ti3AlC2MAX phase powder to 9mol / L HCl solution was 4g:4g:100mL. The ultrasonic exfoliation power was 600W for 1h, the centrifugation speed was 4000rpm, and the washing and centrifugation times after exfoliation were 5min / time and 30min / time, respectively. The Ti3AlC2MAX phase powder was 400 mesh with a purity >99%. The prepared MXene nanosheet dispersion was dark green and exhibited the Tyndall effect. The MXene nanosheets were ultrathin, transparent, and had a two-dimensional layered structure resembling a thin veil.

[0010] Furthermore, the impregnation coating process is a cyclic assembly process, specifically involving immersing the pretreated silk fabric in 5 mg / mL Ti3C2T. x Immerse the nanosheets in the MXene nanosheet dispersion for 10 min, then remove them and dry them in a vacuum oven at 60°C for 15 min. Repeat the immersion-drying steps 1-6 times to adjust the thickness of the conductive coating to 100–500 nm.

[0011] Furthermore, the sensor has silver paste coated at both ends of the composite fabric as electrodes, and a polydimethylsiloxane (PDMS) film is encapsulated on the outside of the electrodes. The sensor has fatigue resistance exceeding 1500 stretch-release cycles, and the relative resistance change ΔR / R0 shows no significant fluctuation at a stretching rate of 10-100 mm / min. The sensor is integrated into a smart glove to construct a gesture recognition and human-computer interaction system. The system includes a signal acquisition unit, a decision control unit, and an execution drive unit. The signal acquisition unit captures the resistance change signal generated by the deformation of the human hand, processes it through the decision control unit, and outputs control commands to drive the robotic hand of the execution drive unit to complete synchronized gesture movements.

[0012] Further, the process includes the following steps: S1, Pretreatment of silk fabric: degumming + oxygen plasma modification to obtain a hydrophilic modified silk flexible skeleton; S2, Ti3C2T x MXene nanosheet preparation: The Ti3AlC2MAX phase was etched in situ with hydrofluoric acid, followed by washing and ultrasonic exfoliation to obtain an MXene nanosheet dispersion; S3, MXene / silk composite fabric construction: An impregnation-drying cycle coating process is used to load MXene nanosheets onto the surface of silk fibers to form a hierarchical conductive network; S4. Sensor fabrication: Silver paste electrodes are prepared at both ends of the composite fabric, and PDMS film is encapsulated to obtain a wearable strain sensor.

[0013] Furthermore, the sensor can achieve real-time monitoring of physiological signals across the entire human body, including capturing large-scale movements of joints such as fingers, wrists, elbows, and knees, as well as detecting weak physiological signals such as pulse and micro-expressions, enabling applications in human-computer interaction, virtual reality, remote health monitoring, and intelligent robotics. The sensor's sensing mechanism is based on the synergistic effect of tunneling effect and contact resistance. In the low-strain region, the initiation of microcracks causes a sharp increase in resistance, achieving a high-sensitivity response. In the high-strain region, the controlled propagation of cracks forms a bridging structure, maintaining the continuity of the conductive network and achieving a linear response. The sensor has an air permeability of up to 2000 mm·s⁻¹ under a pressure difference of 300 Pa, and fully retains the porous woven structure of the silk fabric, allowing smoke to pass through the composite fabric without obstruction.

[0014] Furthermore, in the gesture recognition and human-computer interaction system, the signal acquisition unit acquires the resistance change signal of the sensor through the ADS1115 module, the decision control unit consists of an STM32 MCU and a Raspberry Pi, the execution drive unit controls the servo motor to drive the robot arm through the PWM signal, and the signal transmission adopts a wired method to avoid the delay and interference of wireless communication.

[0015] Furthermore, the Ti3C2T x The XRD pattern of the MXene / silk composite fabric retains the β-sheet characteristic peak of silk protein in the range of 20°-25°, as well as the (002) characteristic diffraction peak of MXene at 6.5°. Furthermore, the Ti and F elements in the composite fabric are distributed in a highly uniform and continuous manner on the fiber network.

[0016] Furthermore, in step S3, during the impregnation coating process, MXene nanosheets are adsorbed onto the surface of silk fibers under the synergistic drive of electrostatic attraction and capillary force, and the -OH, -F, =O polar functional groups on the MXene surface form a high-density interfacial hydrogen bond network with the -NH2, -COOH, -CONH- groups of the silk fibroin molecular chain.

[0017] Due to the adoption of the above technical solution, the beneficial effects of this invention based on the silk fabric sensor and its application in gesture recognition are as follows: 1. This invention uses natural mulberry silk fabric as a flexible skeleton, which has excellent biocompatibility, softness and breathability. The water vapor transmission rate of the sensor exceeds 2000g / m²·day and the air permeability is as high as 2000mm·s⁻¹. It fully preserves the porous structure of the silk fabric, effectively solving the problem of discomfort when wearing traditional synthetic material sensors, and is suitable for long-term wear.

[0018] 2. Preparation of Ti3C2T using an improved in-situ hydrofluoric acid etching strategy xMXene nanosheets were obtained to form a well-dispersed, uniformly layered two-dimensional structure. Combined with a cyclic impregnation coating process, MXene nanosheets were uniformly loaded onto the surface of silk fibers to form a core-shell structured conductive fabric. At the same time, MXene and silk fibroin were stably bonded through hydrogen bond networks and electrostatic interactions, which improved the mechanical stability and fatigue resistance of the sensor. The fatigue resistance exceeded 1500 stretch-release cycles, and the performance remained stable at different stretching rates.

[0019] 3. The sensor has a sensitivity coefficient GF of 149.31 in the low strain range (0-18%) and a sensitivity coefficient GF of 24.57 in the high strain range (18-32%). It has both high sensitivity and wide strain response range. It can accurately capture weak physiological signals such as pulse and micro-expression, and can also realize large-scale movement monitoring of joints such as fingers and wrists, adapting to the needs of full-scale physiological signal monitoring.

[0020] 4. The constructed gesture recognition and human-computer interaction system adopts a wired signal transmission method to avoid the delay and interference of wireless communication. The ADS1115 module accurately collects signals, and the STM32 MCU and Raspberry Pi work together to achieve real-time capture of gesture movements and synchronous response of the robotic arm, which improves the accuracy and response speed of gesture recognition and has important application value in the fields of human-computer interaction and intelligent robots.

[0021] 5. The preparation process of this invention is simple and low-cost, requires no complex equipment, is easy to scale up, and the materials used are environmentally friendly and have excellent biocompatibility, thus having good prospects for industrialization. Attached Figure Description

[0022] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This diagram illustrates the MXene fabrication process for the present invention, which is based on a silk fabric sensor and its application in gesture recognition.

[0023] Figure 2 This is a diagram showing the air permeability of the silk-loaded MXene sensor based on the silk fabric sensor and its application in gesture recognition, as presented in this invention.

[0024] Figure 3 This is a schematic diagram of the tensile fracture sensing mechanism of the Silk / MXene strain sensor based on the silk fabric sensor and its application in gesture recognition.

[0025] Figure 4 This is a schematic diagram illustrating the detection of joint movement signals in different parts of the human body based on a silk fabric sensor and its application in gesture recognition. Detailed Implementation

[0026] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Example

[0027] A method for fabricating a sensor based on silk fabric includes the following steps: S1. Pretreatment of mulberry silk fabric: Natural mulberry silk fabric with a warp density of 120 threads / cm and a weft density of 60 threads / cm was selected and placed in a 0.5wt% Na2CO3 solution. It was boiled and degummed for 30 minutes to remove the sericin on the surface. After degumming, the mulberry silk fabric was washed with deionized water until neutral and dried. Then, oxygen plasma treatment was performed on both sides of the fabric for 60 seconds under a vacuum of 10Pa and an output power of 100W to obtain a hydrophilic modified silk flexible skeleton.

[0028] S2, Ti3C2T x Preparation of MXene nanosheets: 4g LiF was dissolved in 100mL of 9mol / L HCl solution and stirred until completely dissolved; 4g of 400-mesh Ti3AlC2MAX phase powder with a purity >99% was added, and the mixture was magnetically stirred at 35℃ for 36h for in-situ hydrofluoric acid etching; after etching, the mixture was placed in a centrifuge and washed at 4000rpm for 5min each time until the supernatant was neutral; the washed precipitate was dispersed in deionized water and ultrasonically exfoliated at 600W power for 1h under ice bath conditions, followed by centrifugation at 4000rpm for 30min, and the supernatant was collected to obtain dark green monolayer or few-layer Ti3C2T nanosheets exhibiting the Tyndall effect. x MXene nanosheet dispersion, concentration 5 mg / mL.

[0029] S3, MXene / silk composite fabric construction: The pretreated mulberry silk fabric was immersed in the above Ti3C2T xIn an MXene nanosheet dispersion, the mixture was allowed to stand for 10 minutes, allowing the MXene nanosheets to adsorb onto the surface of the silk fibers under the combined effect of electrostatic attraction and capillary force. The fabric was then removed and dried in a vacuum oven at 60°C for 15 minutes, completing one impregnation-drying cycle. The above impregnation-drying steps were repeated three times, and the thickness of the conductive coating was adjusted to 300 nm to obtain an MXene / silk composite fabric. In this fabric, the -OH, -F, and =O polar functional groups on the MXene surface formed a high-density interfacial hydrogen bond network with the -NH2, -COOH, and -CONH- groups of the silk fibroin molecular chain.

[0030] S4. Sensor manufacturing process: Silver paste is uniformly coated on both ends of the MXene / silk composite fabric as signal transmission electrodes. After drying, a PDMS film is coated on the outside of the electrodes for encapsulation. After curing, a wearable strain sensor is obtained.

[0031] The performance of the sensor prepared in this embodiment was tested: the water vapor permeability was 2200 g / m²·day, and the air permeability under a pressure difference of 300 Pa was 2100 mm·s⁻¹; the sensitivity coefficient GF in the low strain region of 0-18% was 149.31, and the sensitivity coefficient GF in the high strain region of 18-32% was 24.57; after 1500 stretch-release cycles, the resistance change rate of the sensor was less than 5%, and the relative resistance change ΔR / R0 did not fluctuate significantly at a stretching rate of 10-100 mm / min; XRD test showed that the composite fabric simultaneously retained the β-sheet characteristic peak of silk protein in the range of 20°-25°, and the (002) characteristic diffraction peak of MXene at 6.5°, and the Ti and F elements were highly uniformly and continuously distributed on the fiber network. Example

[0032] An application of a silk fabric sensor in gesture recognition is proposed. The sensor prepared in Example 1 is integrated into the finger joints of a smart glove to construct a gesture recognition and human-computer interaction system. The system includes a signal acquisition unit, a decision control unit, and an execution drive unit.

[0033] The signal acquisition unit uses an ADS1115 module to capture sensor resistance changes caused by human hand deformation and convert analog signals into digital signals. The decision control unit consists of an STM32 MCU and a Raspberry Pi. The STM32 MCU is responsible for preliminary signal processing and filtering, while the Raspberry Pi is responsible for gesture feature extraction and recognition, generating control commands. The execution drive unit controls the servo motor to drive the robotic arm through PWM signals. The signal transmission is wired to avoid the delay and interference of wireless communication.

[0034] When a human hand makes gestures such as clenching a fist, extending, or bending, the deformation of the finger joints causes the sensor to stretch or contract, resulting in a corresponding change in the sensor's resistance. The signal acquisition unit transmits the resistance change signal to the decision control unit, which processes and identifies the signal, determines the gesture type, and outputs control commands to drive the robotic arm of the execution unit to complete the synchronized gesture action. The gesture recognition accuracy is over 98%, and the response time is less than 100ms. Example

[0035] The difference between this embodiment and Embodiment 1 is that the impregnation-drying step is repeated 6 times in step S3, and the thickness of the conductive coating is adjusted to 500 nm. The remaining preparation steps are the same.

[0036] The sensor prepared in this embodiment was subjected to performance tests: the water vapor permeability was 2050 g / m²·day, and the air permeability at a pressure difference of 300 Pa was 2000 mm·s⁻¹; the sensitivity coefficient GF in the low strain region of 0-18% was 148.92, and the sensitivity coefficient GF in the high strain region of 18-32% was 24.35; after 1500 stretch-release cycles, the resistance change rate of the sensor was less than 6%, and the relative resistance change ΔR / R0 showed no significant fluctuation at a stretching rate of 10-100 mm / min, indicating stable performance. Example

[0037] The difference between this embodiment and Embodiment 1 is that the impregnation-drying step is repeated once in step S3, and the thickness of the conductive coating is adjusted to 100 nm. The remaining preparation steps are the same.

[0038] The sensor prepared in this embodiment was subjected to performance tests: the water vapor permeability was 2300 g / m²·day, and the air permeability at a pressure difference of 300 Pa was 2200 mm·s⁻¹; the sensitivity coefficient GF in the low strain region of 0-18% was 147.56, and the sensitivity coefficient GF in the high strain region of 18-32% was 23.98; after 1500 stretch-release cycles, the resistance change rate of the sensor was less than 7%, and the relative resistance change ΔR / R0 showed no significant fluctuation at a stretching rate of 10-100 mm / min, indicating good sensing performance.

[0039] The present invention and its embodiments have been described above. This description is not restrictive. In short, if a person skilled in the art is inspired by this description and designs a similar structure and embodiment without departing from the spirit of the present invention, such design should fall within the protection scope of the present invention.

Claims

1. A sensor based on silk fabric and its application in gesture recognition, characterized in that, This includes using degummed natural mulberry silk fabric as a flexible framework, and two-dimensional Ti3C2T... x MXene nanosheets are used as functional fillers, and the Ti3C2T x MXene nanosheets were loaded onto the surface of silk fibers via an impregnation coating process to form a core-shell structured conductive fabric, and Ti3C2T x MXene and silk fibroin are stably bonded together through a hydrogen bond network and electrostatic interactions. The sensor has a water vapor transmission rate of over 2000 g / m²·day, a sensitivity coefficient GF of 149.31 in the low strain region of 0-18%, and a sensitivity coefficient GF of 24.57 in the high strain region of 18-32%.

2. The silk fabric-based sensor and its application in gesture recognition according to claim 1, characterized in that: The pretreatment process of the natural mulberry silk fabric is as follows: the mulberry silk fabric is boiled in a 0.5wt% Na2CO3 solution for 30 minutes to degumme, and then the front and back sides of the fabric are subjected to oxygen plasma treatment for 60 seconds under a vacuum of 10Pa and an output power of 100W. The warp density of the mulberry silk fabric is 120 threads / cm and the weft density is 60 threads / cm.

3. The silk fabric-based sensor and its application in gesture recognition according to claim 1, characterized in that: The two-dimensional Ti3C2T x MXene nanosheets were prepared using a modified in-situ hydrofluoric acid etching strategy. The specific steps were as follows: LiF was dissolved in a 9 mol / L HCl solution, Ti3AlC2MAX phase powder was added, and the mixture was magnetically stirred at 35°C for 36 h. After centrifugation and washing until the supernatant was neutral, the supernatant was removed by ultrasonic exfoliation in an ice bath and centrifugation to obtain monolayers or few layers of Ti3C2T. x MXene nanosheet dispersion; preparation of Ti3C2T x When preparing MXene nanosheets, the ratio of LiF and Ti3AlC2MAX phase powder to 9mol / L HCl solution was 4g:4g:100mL. The ultrasonic exfoliation power was 600W for 1h, the centrifugation speed was 4000rpm, and the washing and centrifugation times after exfoliation were 5min / time and 30min / time, respectively. The Ti3AlC2MAX phase powder was 400 mesh with a purity >99%. The prepared MXene nanosheet dispersion was dark green and exhibited the Tyndall effect. The MXene nanosheets were ultrathin, transparent, and had a two-dimensional layered structure resembling a thin veil.

4. The silk fabric-based sensor and its application in gesture recognition according to claim 1, characterized in that: The impregnation coating process is a cyclic assembly process, and the specific steps are as follows: the pretreated silk fabric is immersed in 5 mg / mL Ti3C2T. x Immerse the nanosheets in the MXene nanosheet dispersion for 10 min, then remove them and dry them in a vacuum oven at 60°C for 15 min. Repeat the immersion-drying steps 1-6 times to adjust the thickness of the conductive coating to 100–500 nm.

5. The silk fabric-based sensor and its application in gesture recognition according to claim 1, characterized in that: The sensor has silver paste coated at both ends of the composite fabric as electrodes, and polydimethylsiloxane (PDMS) film is encapsulated on the outside of the electrodes. The sensor has fatigue resistance exceeding 1500 stretch-release cycles, and the relative resistance change ΔR / R0 shows no significant fluctuation at a stretching rate of 10-100 mm / min. The sensor is integrated into a smart glove to construct a gesture recognition and human-computer interaction system. The system includes a signal acquisition unit, a decision control unit, and an execution drive unit. The signal acquisition unit captures the resistance change signal generated by the deformation of the human hand, and after processing by the decision control unit, outputs control commands to drive the robotic hand of the execution drive unit to complete synchronized gesture movements.

6. The silk fabric-based sensor and its application in gesture recognition according to claim 1, characterized in that: Includes the following steps: S1. Pretreatment of silk fabric: degumming + oxygen plasma modification to obtain a hydrophilic modified flexible silk skeleton; S2, Ti3C2T x MXene nanosheet preparation: The Ti3AlC2MAX phase was etched in situ with hydrofluoric acid, followed by washing and ultrasonic exfoliation to obtain an MXene nanosheet dispersion; S3, MXene / silk composite fabric construction: An impregnation-drying cycle coating process is used to load MXene nanosheets onto the surface of silk fibers to form a hierarchical conductive network; S4. Sensor fabrication: Silver paste electrodes are prepared at both ends of the composite fabric, and PDMS film is encapsulated to obtain a wearable strain sensor.

7. The silk fabric-based sensor and its application in gesture recognition according to claim 1, characterized in that: The sensor enables real-time monitoring of physiological signals across the entire human body, including capturing large-scale movements of joints such as fingers, wrists, elbows, and knees, as well as detecting weak physiological signals such as pulse and micro-expressions. Its applications lie in human-computer interaction, virtual reality, remote health monitoring, and intelligent robotics. The sensor's sensing mechanism utilizes the synergistic effect of tunneling and contact resistance. In the low-strain region, microcrack initiation triggers a sharp increase in resistance, achieving a high-sensitivity response. In the high-strain region, controlled crack propagation forms a bridging structure, maintaining the conductive network and achieving a linear response. The sensor exhibits an air permeability of up to 2000 mm·s⁻¹ under a 300 Pa pressure difference and retains the porous woven structure of the silk fabric, allowing smoke to pass through the composite fabric without obstruction.

8. The silk fabric-based sensor and its application in gesture recognition according to claim 1, characterized in that: In the gesture recognition and human-computer interaction system, the signal acquisition unit acquires the resistance change signal of the sensor through the ADS1115 module, the decision control unit consists of an STM32 MCU and a Raspberry Pi, and the execution drive unit controls the servo motor to drive the robot arm through the PWM signal. The signal transmission adopts a wired method to avoid the delay and interference of wireless communication.

9. The silk fabric-based sensor according to claim 1 and its application in gesture recognition, characterized in that: The Ti3C2T x The XRD pattern of the MXene / silk composite fabric retains the β-sheet characteristic peak of silk protein in the range of 20°-25°, as well as the (002) characteristic diffraction peak of MXene at 6.5°. Furthermore, the Ti and F elements in the composite fabric are distributed in a highly uniform and continuous manner on the fiber network.

10. The silk fabric-based sensor according to claim 6 and its application in gesture recognition, characterized in that: In step S3, during the impregnation and coating process, MXene nanosheets are adsorbed onto the surface of silk fibers under the synergistic drive of electrostatic attraction and capillary force, and the -OH, -F, =O polar functional groups on the MXene surface form a high-density interfacial hydrogen bond network with the -NH2, -COOH, -CONH- groups of the silk fibroin molecular chain.

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