Intelligent shooting auxiliary glove with sensor array

Abstract

The utility model belongs to the technical field of shooting training equipment, and discloses an intelligent shooting auxiliary glove with a sensor array, which comprises a glove and the sensor array, the glove palm side comprises a finger face area and a palm face area, and the finger face area is formed by combining four finger faces except the thumb. The sensor array comprises a finger sensor assembly arranged in the finger face area and a palm sensor assembly arranged in the palm face area. The finger surface area comprises a finger pulp area and a finger joint area, and the finger sensor assembly comprises a finger pulp sensor arranged in the finger pulp area and a finger joint sensor arranged in the finger joint area. According to the utility model, the mechanical distribution characteristics of the palm during shooting are analyzed, and the plurality of pressure sensors are reasonably arranged in the finger surface area and the palm surface area of the glove, so that the pressure values of each finger surface position and each palm surface position are flexibly detected, and the shooting posture can be further analyzed conveniently based on the pressure values so as to achieve the posture training and correcting effect.

Description

Technical Field

[0001] This utility model belongs to the field of shooting training equipment technology, specifically relating to an intelligent shooting auxiliary glove with a sensor array. Background Technology

[0002] In routine training, for improving police officers' firearms shooting skills, changes in grip posture, grip strength, and finger force when pulling the trigger are all key factors affecting shooting accuracy. However, in actual training, these aspects often rely on the personal judgment of experienced instructors, which carries the risk of untimely or misjudgment. Therefore, transforming intuitive knowledge into rational and intuitive data is of paramount importance for improving training effectiveness. Utility Model Content

[0003] In view of this, in order to solve the problems mentioned in the background art, the purpose of this utility model is to provide an intelligent shooting assistance glove with a sensor array.

[0004] To achieve the above objectives, this utility model provides the following technical solution:

[0005] A smart shooting aid glove with a sensor array includes a glove and a sensor array; the palm side of the glove includes a finger area and a palm area, and the finger area is formed by combining the four finger surfaces excluding the thumb; the sensor array includes a finger sensor assembly disposed in the finger area and a palm sensor assembly disposed in the palm area.

[0006] Preferably, the finger surface area includes the finger pad areas of the index finger, middle finger, ring finger, and little finger, and the finger sensor assembly includes finger pad sensors respectively disposed in the finger pad areas.

[0007] Preferably, the finger surface area includes the knuckle areas of the middle finger, ring finger, and little finger, and the finger sensor assembly includes knuckle sensors respectively disposed in the knuckle areas.

[0008] Preferably, the finger joint area includes proximal interphalangeal joints and distal interphalangeal joints.

[0009] Preferably, the knuckle sensor is located at the position corresponding to the interphalangeal joint or at the position corresponding to the phalanx on one side of the interphalangeal joint.

[0010] Preferably, the palm sensor assembly includes a plurality of sensors distributed around the center of the palm within the palm area.

[0011] Preferably, the palm area includes five metacarpophalangeal joints connecting the palm and fingers, and the plurality of sensors constituting the palm sensor assembly include at least one metacarpophalangeal joint sensor respectively disposed at each of the five metacarpophalangeal joints.

[0012] Preferably, the palmar area includes the thumb carpal joint located at the base of the thumb, and at least one of the multiple sensors constituting the palm sensor assembly includes a thumb carpal joint sensor disposed at the thumb carpal joint.

[0013] Preferably, the palm side of the glove includes an abrasion-resistant outer layer and a breathable inner layer, and the sensor array is sewn between the abrasion-resistant outer layer and the breathable inner layer.

[0014] Preferably, the back of the glove is provided with a battery compartment that can hold a button battery, and the battery compartment is electrically connected to the sensor array via a connection circuit.

[0015] Compared with the prior art, this utility model has the following advantages:

[0016] In this invention, by analyzing the mechanical distribution characteristics of the palm during shooting, multiple pressure sensors are rationally arranged in the finger and palm areas of the glove. This allows for flexible detection of pressure values ​​at each finger and palm position, and facilitates further analysis of shooting posture based on these pressure values, thereby achieving posture training and correction effects.

[0017] In addition, the palm side of the glove includes an abrasion-resistant outer layer and a breathable inner layer. The pressure sensor is sewn and sealed between the abrasion-resistant outer layer and the breathable inner layer, thereby ensuring that multiple pressure sensors can fit closely with the human hand and ensure the accuracy of the test results. Attached Figure Description

[0018] Figure 1 This is an exploded view of the present invention;

[0019] Figure 2 This is a perspective view of the present utility model;

[0020] Figure 3 This is a schematic diagram showing the distribution of the finger surface area and palm surface area in this utility model;

[0021] Figure 4 This is a schematic diagram of the palm side of the glove in this utility model;

[0022] In the picture:

[0023] Glove-100; Finger area-110; Finger pad area-111; Knuckle area-112; Proximal interphalangeal joint-113; Distal interphalangeal joint-114; Palm area-120; Metacarpophalangeal joint-121; Thumb carpal metacarpophalangeal joint-122; Abrasion-resistant outer layer-130; Breathable inner layer-140; Button battery-150; Battery compartment-160; Connecting circuit-170; Sensor array-200; Finger sensor assembly-210; Finger pad sensor-211; Knuckle sensor-212; Palm sensor assembly-220; Metacarpophalangeal joint sensor-221; Thumb carpal metacarpophalangeal joint sensor-222. Detailed Implementation

[0024] To further understand the content of this utility model, a detailed description of it is provided in conjunction with the accompanying drawings and embodiments. The structures, proportions, sizes, etc., depicted in the accompanying drawings are merely for illustrative purposes and to aid those skilled in the art; they are not intended to limit the implementation of this utility model and therefore have no substantial technical significance. Any modifications to the structure, changes in proportions, or adjustments to size, without affecting the effects and objectives of this utility model, should still fall within the scope of the technical content disclosed herein. Similarly, terms such as "upper," "lower," "left," "right," and "middle" used in this specification are merely for clarity and not intended to limit the scope of implementation. Changes or adjustments to their relative relationships, without substantially altering the technical content, should also be considered within the scope of implementation of this utility model. It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this application described herein.

[0025] It should be noted that this patent protects the product structure, and the modules involved all employ its conventional functions.

[0026] This invention analyzes shooting training postures based on the anatomical structure of the human hand and the force distribution characteristics of shooting mechanics, and obtains the main force points of the palm during shooting. Figure 3 The finger area 110 and palm area 120 shown (including fingertips, the base of the thumb, the center of the palm, and the base of the palm).

[0027] To accurately collect hand force data during shooting training, this utility model provides the following... Figure 1The glove 100 shown is equipped with a pressure sensor array 200. During training, the glove 100 is worn on the hand, and the pressure sensor array 200 detects pressure data at various locations on the glove 100. This detected pressure data is then used to reflect the shooting posture during the current shooting training. This transforms human sensory perception into rational and intuitive pressure detection data, thereby enabling the optimization and correction of shooting training posture.

[0028] In this invention, the multiple pressure sensors in the pressure sensor array 200 are divided into a finger sensor assembly 210 and a palm sensor assembly 220 according to the finger surface area 110 and the palm surface area 120, and are explained in detail below:

[0029] For each pressure sensor in the pressure sensor array 200, to ensure flexible adaptation to the glove 100, a 0.05mm polyimide film is used as the substrate. Flexible printed circuit technology is used to arrange thin-film carbon nanotube composite sensing layers at the corresponding stress locations on the film, thus forming the pressure sensor. Connecting circuits 170 are arranged between the pressure sensors. Then, an ultrasonic welding encapsulation process is used to encapsulate the entire pressure sensor array 200, ensuring a thin and lightweight structure and high-accuracy detection performance. Polyimide possesses excellent flexibility and high-temperature resistance, enabling it to flexibly adapt to the complex bending movements of the hand. The preferred sensing area radius of each pressure sensor is 5mm to ensure excellent linearity and sensitivity within a range of 0–10kg.

[0030] Regarding gloves 100, please refer to... Figure 4 As shown, its palm side (the side of the hand) includes a wear-resistant outer layer 130 (made of wear-resistant and non-slip suede) and a breathable inner layer 140 (made of elastic and breathable fabric). A thin-film pressure sensor array 200 is sewn and encapsulated between the wear-resistant outer layer 130 and the breathable inner layer 140, so that the entire pressure sensor array 200 can effectively fit the human hand, ensuring the flexibility of shooting operation and the accuracy of pressure detection.

[0031] Regarding gloves 100, please refer to... Figure 2As shown, the back side (the back of the hand side) of the glove 100 has a battery compartment 160 for holding a button battery 150, and the battery compartment 160 is electrically connected to the sensor array 200 via a connection circuit 170. To ensure the stable operation of the overall pressure sensor array 200, its holding structure preferably adopts an elastic buckle, which facilitates the user to quickly remove and replace the button battery 150 when the power is low. Of course, the battery compartment 160 can also be arranged in non-stress areas such as the side edge of the glove 100. Under the premise of ensuring comfortable wearing and flexible operation of the glove 100, the preferred size of the battery compartment 160 is 30mm x 20mm x 5mm.

[0032] In one executable embodiment of this utility model, the finger area 110 includes finger pad areas 111 (a, b, c, d) of the index finger, middle finger, ring finger, and little finger. Specifically, the finger pad area 111a of the index finger is used to pull the trigger, and the finger pad areas 111 (b, c, d) of the middle, ring, and little fingers are used to grip the handle.

[0033] In this embodiment, the finger sensor assembly 210 includes finger pad sensors 211 (a, b, c, d) respectively disposed in the fingertip areas 111 (a, b, c, d). Specifically, the finger pad sensor 211a is used to detect the pressure on the fingertip area 111a when the trigger is pulled, thus characterizing the force applied when pulling the trigger during shooting training. Insufficient trigger pull may result in incomplete trigger release and firing delay, while excessive trigger pull may increase gun sway and cause the bullet impact point to deviate. Therefore, the detection of pressure on the fingertip area 111a by the finger pad sensor 211a can determine whether the trigger pull force during shooting training is reasonable, and can also be used to optimize the trigger pull force during training. The fingertip sensors 211 (b, c, d) are used to detect the pressure on the fingertip area 111 (b, c, d) when gripping the handle, which is used to characterize whether the grip on the handle is stable during shooting training. Too little grip on the handle will lead to uneven transmission of recoil during shooting, which will cause problems such as gun shaking, bullet impact point deviation, and wrist joint injury. Too much grip on the handle will easily cause problems such as stiff hand muscles and accelerated hand fatigue during shooting. Therefore, the fingertip sensors 211 (b, c, d) can detect the pressure on the fingertip area 111 (b, c, d) to determine whether the grip strength of each finger on the handle is appropriate during shooting training, and can also be used to optimize the grip strength of the handle.

[0034] In another executable embodiment of this utility model, the finger surface area 110 includes the knuckle areas 112 (e, f, g) of the middle, ring, and little fingers. The finger sensor assembly 210 includes knuckle sensors 212 (e, f, g) respectively disposed in the knuckle areas 112 (e, f, g). Each knuckle sensor 212 (e, f, g) is used to detect the pressure on the knuckle areas 112 (e, f, g) when gripping the handle, and, as described above, to detect and optimize the grip strength of the handle. Since the knuckle area of ​​the index finger is not subjected to force during shooting, a pressure sensor is not placed in the knuckle area of ​​the index finger.

[0035] In this embodiment, the knuckle region 112 includes a proximal interphalangeal joint 113 and a distal interphalangeal joint 114, thereby providing a full description of the specific arrangement of the knuckle sensor 212 as follows:

[0036] In one embodiment of this example, as Figure 1 As shown, the finger joint sensor 212 is positioned at the location corresponding to the phalanx on one side of the interphalangeal joint. For example, the phalanx on the side of the proximal interphalangeal joint 113 corresponds to the proximal phalanx (close to the palm), and the phalanx on the side of the distal interphalangeal joint 114 corresponds to the middle phalanx. To improve the accuracy of the finger joint sensor 212, it is preferable to position the finger joint sensor 212 at the corresponding location in the middle of each phalanx.

[0037] In another embodiment of this example, the knuckle sensor 212 is disposed at the position corresponding to each interphalangeal joint (not shown in the figure), so as to reflect the gripping strength of the hand by detecting the pressure change of each interphalangeal joint when gripping the handle.

[0038] In another executable embodiment of this utility model, the palm area 120 includes five metacarpophalangeal joints 121 connecting the palm and fingers, and the palm sensor assembly 220 includes metacarpophalangeal joint sensors 221 respectively disposed at the five metacarpophalangeal joints 121. The thumb metacarpophalangeal joint 121i and the index finger metacarpophalangeal joint 121ii are distributed on both sides of the web between the thumb and index finger, thereby enabling the detection of the force applied at the web position using the metacarpophalangeal joint sensors 221(i, ii). During shooting, the web is gripped on the handle, representing the magnitude of the gripping force of the hand on the handle.

[0039] In another executable embodiment of this utility model, the palm area 120 includes a thumb carpal joint 122 located at the base of the thumb, and the palm sensor assembly 220 includes a thumb carpal joint sensor 222 disposed at the thumb carpal joint 122. The movement of the thumb carpal joint 122 ensures that the thumb can form a grip with the other four fingers, and the thumb carpal joint 122 bears 40% of the gripping force transmission; therefore, pressure detection at this joint can also characterize the magnitude of the hand's gripping force on the handle.

[0040] In addition, combined Figure 3 As shown, the palm area 120 also includes detection at the palm edge (k1, k2), and the palm sensor assembly 220 includes a palm edge sensor disposed at the palm edge (k1, k2) to further fully detect the gripping force of the hand on the handle.

[0041] The aforementioned multiple pressure sensors within the palm area 120 are arranged around the palm to achieve complete force detection of the entire palm area.

[0042] In summary, this invention has 18 sensing areas composed of pressure sensors arranged on the fingertips, tiger's mouth, palm and palm base of the glove 100. The sensing range of each sensing area is 0-10kg, thereby realizing the effective detection of various force points on the hand during shooting training, and thus facilitating the optimization and correction of shooting training posture based on the detection results.

[0043] In this invention, the detection of pressure data from multiple pressure sensors is achieved through high-precision acquisition and processing of pressure data using an STM32G4 chip with integrated ADC module functionality. The signal conditioning circuit of the ADC module encompasses signal amplification and filtering functions. It employs a low-noise operational amplifier to effectively amplify the weak pressure signal and uses an RC filter circuit to eliminate high-frequency noise interference, ensuring the signal quality input to the ADC module. Furthermore, the ADC sampling timing and configuration parameters have been optimized to improve sampling efficiency and accuracy.

[0044] During the data transmission phase, this solution employs wireless transmission, establishing a communication connection based on the USART protocol to interconnect with the E103_W11 WiFi module. The USART driver program of the STM32L010K4T6 and STM32G4 microcontrollers ensures the reliability of data exchange with the WiFi module. Pressure data collected by the pressure sensor is transmitted to the server, where relevant algorithms and data processing are performed to obtain feedback data. It should be noted that the above communication process utilizes existing technology, and the described communication process is merely for the purpose of better understanding the overall solution of this patent.

[0045] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example.

[0046] Note that the above description is merely a preferred embodiment of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of the present invention. The scope of the present invention is determined by the scope of the appended claims.

Claims

1. A smart shooting aid glove with a sensor array, characterized in that: The device includes a glove (100) and a pressure sensor array (200); the glove (100) has a finger area (110) and a palm area (120) on its palm side, and the finger area (110) is formed by combining the four finger surfaces excluding the thumb; the pressure sensor array (200) includes a finger sensor assembly (210) disposed on the finger area (110) and a palm sensor assembly (220) disposed on the palm area (120).

2. The intelligent shooting aid glove with a sensor array according to claim 1, characterized in that: The finger area (110) includes the finger pad areas (111) of the index finger, middle finger, ring finger and little finger, and the finger sensor assembly (210) includes finger pad sensors (211) respectively disposed in the finger pad areas (111).

3. A smart shooting aid glove with a sensor array according to claim 1 or 2, characterized in that: The finger surface area (110) includes the knuckle areas (112) of the middle finger, ring finger and little finger, and the finger sensor assembly (210) includes knuckle sensors (212) respectively disposed in the knuckle areas (112).

4. The intelligent shooting aid glove with a sensor array according to claim 3, characterized in that: The finger joint area (112) includes the proximal interphalangeal joint (113) and the distal interphalangeal joint (114).

5. The intelligent shooting aid glove with a sensor array according to claim 4, characterized in that: The finger joint sensor (212) is located at the position corresponding to the interphalangeal joint or at the position corresponding to the phalanx on one side of the interphalangeal joint.

6. The intelligent shooting aid glove with a sensor array according to claim 1, characterized in that: The palm sensor assembly (220) includes a plurality of sensors distributed around the center of the palm within the palm area (120).

7. The intelligent shooting aid glove with a sensor array according to claim 6, characterized in that: The palm area (120) includes five metacarpophalangeal joints (121) connecting the palm and fingers, and the plurality of sensors constituting the palm sensor assembly (220) include at least one metacarpophalangeal joint sensor (221) respectively disposed at the five metacarpophalangeal joints (121).

8. A smart shooting aid glove with a sensor array according to claim 6 or 7, characterized in that: The palm area (120) includes the thumb carpal joint (122) located at the base of the thumb, and at least one of the multiple sensors constituting the palm sensor assembly (220) includes a thumb carpal joint sensor (222) disposed at the thumb carpal joint (122).

9. The intelligent shooting aid glove with a sensor array according to claim 1, characterized in that: The glove (100) has a wear-resistant outer layer (130) and a breathable inner layer (140) on the palm side, and the sensor array (200) is sewn between the wear-resistant outer layer (130) and the breathable inner layer (140).

10. A smart shooting aid glove with a sensor array according to claim 1, characterized in that: The glove (100) has a battery compartment (160) on the back side that can hold a button battery (150), and the battery compartment (160) is electrically connected to the sensor array (200) via a connection circuit (170).

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