CN211137172U - Intelligent education robot device based on gesture recognition - Google Patents

Abstract

The intelligent educational robot device based on gesture recognition solves the problem that the existing data glove recognition requires too many sensors, and the cost is high. The machine vision gesture recognition is sensitive to the surrounding environment such as light, etc., and cannot solve the motion capture of the occlusion situation. The problem that can only be used in the area covered by the camera includes an educational robot body, a sealing plate is installed in the middle of one end of the educational robot body, and a first fixed erbium is arranged in the middle of one end of the sealing plate. The utility model has a novel structure and has more advantages. Good openness and scalability can improve the shortcomings of educational robots with limited functions and outdated designs; it has stronger interactivity, and can directly control the movement of educational robots through a limited set of standard gestures, which is beneficial to the intelligent education of primary and secondary schools. The development of robotics technology is particularly important, which can enhance the interest of primary and secondary school students and play the role of educational robots more effectively.

Description

Intelligent educational robot device based on gesture recognition

technical field

The utility model relates to a robot device, in particular to an intelligent educational robot device based on gesture recognition.

Background technique

At present, the common educational robots on the market are controlled by the user through the interface operation, but this traditional interaction method is not flexible enough, the interaction experience is not high, and the operating system is relatively complicated. Among the educational robots controlled by gestures, there are many applications based on data glove recognition and visual recognition technology, but data glove recognition requires too many sensors, which is expensive and not suitable for large-scale production. The surrounding environment (such as light, etc.) is relatively sensitive, and motion capture cannot solve the occlusion situation. It also needs to be used in the area covered by the camera.

Utility model content

In view of the above situation, in order to overcome the defects of the prior art, the present invention provides an intelligent educational robot device based on gesture recognition, which effectively solves the problem that the existing data glove recognition requires too many sensors, high cost, and is not suitable for large-scale production. Machine vision gesture recognition is sensitive to the surrounding environment such as light, and cannot solve the problem of motion capture in occlusion situations, and it also needs to be used within the area covered by the camera.

In order to achieve the above purpose, the present utility model provides the following technical solutions: the present utility model includes an educational robot body, a sealing plate, a first fixed erbium, a second fixed erbium, a fixed bolt, a smart bracelet, a mounting block, a chute, and a data collector. , the first HC-05 Bluetooth 10, the first STM32 microcontroller, the second HC-05 Bluetooth 12, the second STM32 microcontroller and the inertial sensor, a sealing plate is installed in the middle of one end of the educational robot body, and one end of the sealing plate is A first fixed erbium is arranged in the middle of the educational robot body, and a second fixed erbium is arranged at the position corresponding to the first fixed erbium on the educational robot body. The first fixed erbium and the second fixed erbium are fixed by fixing bolts. The wristband, the smart wristband is provided with a mounting block on one side, the educational robot body is provided with a chute at the position corresponding to the sealing plate, a data collector is installed on the top of the inner side of the educational robot body, and the first HC is installed on one side of the data collector -05 Bluetooth, the first STM32 microcontroller is installed on one side of the first HC-05 Bluetooth, the second HC-05 Bluetooth is installed inside the mounting block, and the second STM32 is installed on one side of the second HC-05 Bluetooth 12 Microcontroller, the inertial sensor is mounted on one side of the second STM32 microcontroller.

Preferably, the smart bracelet is a member of an elastic material.

Preferably, the inertial sensor is an MPU-6050 inertial sensor.

Preferably, the length, width and height of the chute are slightly larger than the length, width and height of the sealing plate.

Preferably, the first fixing erbium and the second fixing erbium are provided with threaded holes at positions corresponding to the fixing bolts.

Preferably, the mounting block is of a circular truncated shape.

When the utility model is used, when the robot accessories need to be placed, the fixing bolts are unscrewed, the sealing plate is pushed into the inside of the chute, and the parts can be placed in the storage cavity inside the sealing plate, which is convenient for storage. The wristband is fixed on the user's hand. When the gesture action occurs, the inertial sensor starts to track the gesture. The first STM32 microcontroller obtains the most primitive data from the inertial sensor, and filters the two sets of data. The first filter filters out Data white noise and interference, the angular velocity is integrated, the integral is the angular velocity, and the gesture analysis can still work normally. According to the collected gesture data, the corresponding gesture can be obtained by comparing the codes, and the recognized gesture can be obtained. The data is transmitted through the first HC-05 Bluetooth 10 and the second HC-05 Bluetooth, and the first STM32 microcontroller on the educational robot side controls the movement of the educational robot body through the Bluetooth data to achieve the effect of human-computer interaction.

Beneficial effects: the present utility model has novel structure and ingenious conception, and the educational robot based on gesture recognition has better openness and expansibility, which can improve the deficiencies of limited functions and outdated design of the educational robot; the design has stronger interaction It can directly control the movement of educational robots through a limited set of standard gestures, which is particularly important for the development of intelligent educational robot technology in primary and secondary schools. It can enhance the interest of primary and secondary school students, and play the role of educational robots more effectively. Policy contribution to entry into the primary and secondary curriculum.

Description of drawings

The accompanying drawings are used to provide a further understanding of the present invention, and constitute a part of the specification, and are used to explain the present invention together with the embodiments of the present invention, and do not constitute a limitation to the present invention. In the attached image:

Fig. 1 is the three-dimensional structure schematic diagram of the present utility model;

Fig. 2 is the rear view of the present utility model;

3 is a schematic diagram of the internal structure of the installation block of the present invention;

Labels in the figure: 1. Educational robot body; 2. Sealing plate; 3. First fixing erbium; 4. Second fixing erbium; 5. Fixing bolt; 6. Smart bracelet; 7. Mounting block; 8. Chute; 9. Data collector; 10. First HC-05 Bluetooth; 11. First STM32 microcontroller; 12. Second HC-05 Bluetooth; 13. Second STM32 microcontroller; 14. Inertial sensor.

Detailed ways

The specific embodiments of the present utility model will be further described in detail below with reference to the accompanying drawings 1-3.

1-3, the present invention provides an intelligent educational robot device based on gesture recognition, including an educational robot body 1, a sealing plate 2, a first fixing erbium 3, a second fixing erbium 4, and fixing bolts 5. , smart bracelet 6, mounting block 7, chute 8, data collector 9, first HC-05 Bluetooth 10, first STM32 microcontroller 11, second HC-05 Bluetooth 12, second STM32 microcontroller 13 and inertial sensor 14, a sealing plate 2 is installed in the middle of one end of the educational robot body 1, a first fixed erbium 3 is arranged in the middle of one end of the sealing plate 2, and a second fixed erbium 3 is provided on the educational robot body 1 at a position corresponding to the first fixed erbium 3 Erbium 4, the first fixing erbium 3 and the second fixing erbium 4 are fixed by fixing bolts 5, the educational robot body 1 is connected with a smart bracelet 6 through a wireless signal, and a mounting block 7 is provided on one side of the smart bracelet 6, and the educational robot body 1 There is a chute 8 at the position corresponding to the sealing plate 2, a data collector 9 is installed on the top of the inner side of the educational robot body 1, and a first HC-05 Bluetooth 10 is installed on one side of the data collector 9, and the first HC-05 Bluetooth A first STM32 microcontroller 11 is installed on one side of the 10, a second HC-05 Bluetooth 12 is installed inside the mounting block 7, and a second STM32 microcontroller 13 is installed on one side of the second HC-05 Bluetooth 12. An inertial sensor 14 is installed on one side of the two STM32 microcontrollers 13 .

The smart bracelet 6 is a member of an elastic material, which is convenient for the smart bracelet 6 to be carried.

The inertial sensor 14 is an MPU-6050 inertial sensor, which eliminates the problem of the difference between the time axis of the combined gyroscope and the accelerator, and reduces a lot of packaging space. Acceleration and angular velocity can be measured.

The length, width and height of the chute 8 are slightly larger than the length, width and height of the sealing plate 2 , which is convenient for the installation and use of the sealing plate 2 .

The first fixing erbium 3 and the second fixing erbium 4 are provided with threaded holes at the positions corresponding to the fixing bolts 5, which are convenient for cooperating and fixing.

The mounting block 7 is a round table type, which is convenient to use.

Working principle: When the utility model is used, when the robot accessories need to be placed, unscrew the fixing bolts 5 and push the sealing plate 2 to the inside of the chute 8, and then the components can be placed in the storage cavity inside the sealing plate 2, which is convenient for When storing and using, the smart bracelet 6 is fixed on the user's hand. When the gesture action occurs, the inertial sensor 14 starts to track the gesture. The first STM32 microcontroller 11 obtains the most original data from the inertial The group data is filtered, the first filtering is to filter out the white noise and interference of the data, and the angular velocity is integrated. The integral obtained is the angular velocity, and the gesture analysis can still work normally. The corresponding gesture is obtained, the obtained gesture data after recognition is transmitted through the first HC-05 Bluetooth 10 and the second HC-05 Bluetooth 12, and the first STM32 microcontroller 11 on the educational robot side controls the movement of the educational robot body 1 through the Bluetooth data, achieve the effect of human-computer interaction.

Beneficial effects: the present utility model has novel structure and ingenious conception, and the educational robot based on gesture recognition has better openness and expansibility, which can improve the deficiencies of limited functions and outdated design of the educational robot; the design has stronger interaction It can directly control the movement of educational robots through a limited set of standard gestures, which is particularly important for the development of intelligent educational robot technology in primary and secondary schools. It can enhance the interest of primary and secondary school students, and play the role of educational robots more effectively. Policy contribution to entry into the primary and secondary curriculum.

Finally, it should be noted that the above are only the preferred embodiments of the present invention, and are not intended to limit the present invention. , it is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements to some of the technical features. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims (6)

1. Intelligent education robot device based on gesture recognition, including education robot body (1), closing plate (2), first fixed erbium (3), the fixed erbium (4) of second, fixing bolt (5), intelligent bracelet (6), installation piece (7), spout (8), data acquisition unit (9), first HC-05 bluetooth (10), first STM32 microcontroller (11), second HC-05 bluetooth (12), second STM32 microcontroller (13) and inertial sensor (14), its characterized in that: the middle part of one end of the education robot body (1) is provided with a sealing plate (2), the middle part of one end of the sealing plate (2) is provided with a first fixed bait (3), the position of the education robot body (1) corresponding to the first fixed bait (3) is provided with a second fixed bait (4), the first fixed bait (3) and the second fixed bait (4) are fixed through a fixing bolt (5), the education robot body (1) is connected with an intelligent bracelet (6) through a wireless signal, one side of the intelligent bracelet (6) is provided with an installation block (7), the position of the education robot body (1) corresponding to the sealing plate (2) is provided with a chute (8), the top of the inner side of the education robot body (1) is provided with a data collector (9), one side of the data collector (9) is provided with a first HC-05 Bluetooth (10), one side of the first HC-05 Bluetooth (10) is provided with a first STM32 microcontroller (11), a second HC-05 Bluetooth (12) is installed inside the installation block (7), a second STM32 microcontroller (13) is installed on one side of the second HC-05 Bluetooth (12), and an inertial sensor (14) is installed on one side of the second STM32 microcontroller (13).

2. The intelligent education robot apparatus based on gesture recognition according to claim 1, wherein the smart band (6) is a member of an elastic material.

3. The intelligent educational robotic device based on gesture recognition according to claim 1, wherein the inertial sensor (14) is an MPU-6050 inertial sensor.

4. The intelligent education robot apparatus based on gesture recognition according to claim 1, wherein the length, width and height of the sliding groove (8) are slightly larger than those of the sealing plate (2).

5. The intelligent education robot device based on the gesture recognition according to claim 1, wherein the first fixing bait (3) and the second fixing bait (4) are provided with threaded holes corresponding to the positions of the fixing bolts (5).

6. The intelligent education robot apparatus based on gesture recognition according to claim 1 wherein the mounting block (7) is of a truncated cone type.

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