TWI729646B - Intelligent flower squeezing action training system - Google Patents

Abstract

An intelligent flower squeezing action training system includes at least a squeezing action detection device and a processing device. The squeezing action detection device is used to detect a teaching squeezing action of the teacher and a learning squeezing action of a learner. The processing device compares the data of the teaching squeezing action with the data of learning squeezing action, thereby judging the correctness of the learners' learning squeezing action. The present invention can not only provide better detection results, but also provide more accurate correction suggestions, and can solve problems such as labor and cost.

Description

Intelligent squeeze movement training system

The invention relates to a training system, in particular to an intelligent squeezing movement training system.

Usually, when students learn to squeeze flowers, they will first observe the techniques and skills of the master. In addition, the way of observing learning can be divided into static learning or dynamic learning. Static learning is, for example, watching photos or pictures, while dynamic learning is, for example, actual observation or watching movies. However, both learning methods have their shortcomings. The shortcoming of static learning methods is that they cannot effectively show how each action is linked to complete a squeeze product. The disadvantage of dynamic learning is that because it is a continuous movement, it is not easy for students to identify each key movement. In addition, it is usually necessary to have a dedicated person to give the students the correctness evaluation and correction suggestions, but this is often very labor intensive, and the evaluator will also be inaccurate due to fatigue.

In view of the above-mentioned problems of the prior art, one of the objectives of the present invention is to provide an intelligent squeezing movement training system, which disassembles various squeezing movements of experienced masters, and parameterizes each movement and the linkage relationship between them. Create a database of squeezing motions. Based on this squeezing movement database, through the motion detection device, it detects and compares whether the current squeezing movement of the students is consistent, and gives suggestions for correction.

To achieve the foregoing objective, the present invention provides an intelligent squeeze motion training system including at least a squeeze motion detection device and a processing device. The squeezing motion detection device is used to detect the teaching squeezing motion of the teacher. The processing device is used to receive teaching squeezing data, so as to disassemble the teaching squeezing action into a plurality of teaching continuous squeezing actions, and parameterize these teaching continuous squeezing actions and the linkage relationship between them to establish the teaching Squeeze movement database. The squeeze motion detection device further detects the learner's learning squeeze motion. And, the processing device receives the data of the learned squeeze action, so as to disassemble the learned squeeze action into a plurality of learned continuous squeeze actions, and parameterize these learned continuous squeeze actions and the linkage relationship between them and compare them. Compared with the above-mentioned teaching continuous squeeze movement and the difference of the linkage relationship between them, the correctness of the learner's learning squeeze movement can be judged.

Preferably, the processing device further parameterizes the learned continuous squeeze motions and the linkage relationship between them and stores them in the learned squeeze motion database.

Preferably, the processing device further parameterizes the learning continuous squeezing action and the linkage relationship between them, and compares the difference compared with the teaching continuous squeezing action and the linkage relationship between them, so as to generate correction suggestions.

Preferably, the processing device further stores the correction suggestions in the learning squeeze movement database.

Preferably, learners can query correction suggestions and generate correction reports through the learning squeeze movement database.

Preferably, the squeezing motion detection device is an image capturing device, and the data for teaching the squeezing motion or learning the squeezing motion is an image.

Preferably, the squeezing motion detection device is a pressure sensing device, and the data for teaching the squeezing motion or learning the squeezing motion is the pressure value.

Preferably, the flower squeezing motion detection device is a distance sensing device, and the data for teaching the squeezing motion or learning the squeezing motion is the distance value between the nozzle and the nail in the teaching squeezing motion and learning the squeezing motion.

Preferably, the flower squeezing motion detection device is an angle sensing device, and the data for teaching the squeezing motion or learning the squeezing motion is the angle value between the nozzle and the nail in the teaching squeezing motion and learning the squeezing motion.

Preferably, the squeezing motion detection device is a timing device, and the data for teaching squeezing motion or learning squeezing motion is the time value

In summary, the intelligent squeezing movement training system of the present invention has the following advantages:

(1) Better effect by motion detection: Through precise motion disassembly, and after the motion and the linkage relationship between them are parameterized, the effect of motion detection is better.

(2) The motion correction suggestion is more accurate: due to the parameterization of the entire squeezing process, the motion detection device is used to detect and accurately compare with the movements of the experienced master, so that the parameter difference can be fed back to get more accurate Correction suggestions.

(3) It is more effective to solve the lack of professional masters: only need to establish an accurate squeeze movement database for a few professional masters, and the system can be replicated to various places for training of related students, and also solve the shortage of related professional teachers. problem.

(4) Labor costs are reduced: each system is a master, and there is no overtime pay, and it will not be inaccurate due to fatigue, thus effectively reducing related labor costs.

In order to enable Jun Shen to have a further understanding and understanding of the technical features of the present invention and the technical effects that can be achieved, the preferred embodiments and detailed descriptions are provided below.

In order to understand the technical features, content and advantages of this creation and its achievable effects, this creation is combined with the diagrams, and detailed descriptions are given in the form of embodiments as follows, and the diagrams used therein have only To illustrate and supplement the manual, it may not be the true proportions and precise configuration after the implementation of this creation. Therefore, the proportion and configuration relationship of the attached drawings should not be interpreted or limited to the scope of rights of the creation in actual implementation. In addition, in order to facilitate understanding, the same elements in the following embodiments are denoted by the same symbols.

Please refer to Figure 1. Figure 1 is a schematic diagram of the created smart squeeze movement training system. The intelligent squeeze motion training system of the present invention at least includes a squeeze motion detection device 10 and a processing device 20. The squeezing motion detection device 10 detects the teaching squeezing motion of the teacher. This teacher is, for example, a master who teaches the squeeze movement. The processing device 20 receives the data of the teaching squeezing motion detected by the squeezing motion detection device 10, for example, by wired or wireless, so as to disassemble the teaching squeezing motion into a plurality of teaching continuous squeezing motions, and continuously the above-mentioned teaching squeezing motions. After the squeezing action and the linkage relationship between these teaching successive squeezing actions are parameterized, the teaching squeezing action database is established. The aforementioned linkage relationship is, for example, the sequence relationship between various actions. The intelligent squeeze movement training system of the present invention, for example, further includes a storage device 30 electrically connected to the processing device 20 for storing the teaching squeeze movement database 32 created by the processing device 20.

One of the features of this creation is that the squeezing motion detection device 10 further detects the learning squeezing motion of the learner. Among them, the learner is, for example, a student who learns the squeeze movement. The processing device 20 of this creation further receives the data of this learning squeeze action, so as to disassemble the learning squeeze action into a plurality of learning continuous squeeze action, and these learning continuous squeeze action and these learning continuous squeeze action After parameterization of the linkage relationship, compare the difference between these continuous squeezing actions and these continuous squeezing actions in order to judge the correctness of the learner's learning squeezing action. The intelligent squeeze movement training system of the present invention, for example, further includes a display device 40 electrically connected to the processing device 20 for displaying the above-mentioned correctness data. In addition, the processing device 20 of the present creation may, for example, parameterize these learned continuous squeezing actions and the linkage relationship between them, and then compare the learned continuous squeezing actions and the linkage relationship between them one by one in real time. Compared with the difference between these teaching continuous squeezing movements and the linkage relationship between them, the correctness of the learners' learning squeezing movements can be judged.

The processing device 20 of the present creation can, for example, further parameterize the above-mentioned learning continuous squeezing actions and the linkage relationships between these learning continuous squeezing actions and store them in the learning squeezing action database 34 for subsequent query. use. Wherein, the learned squeeze movement database 34 is stored in the storage device 30, for example. In addition, the intelligent squeeze movement training system of the present invention, for example, further includes an input device 50 electrically connected to the processing device 20 for query. Another feature of this creation is that the processing device 20 can, for example, further parameterize these learning continuous squeezing actions and the linkage relationships between these learning continuous squeezing actions and compare them with the above-mentioned teaching continuous squeezing actions and the above-mentioned teaching. The difference in the above-mentioned linkage relationship between the successive squeezing actions generates at least one correction suggestion. Wherein, the correction suggestion is displayed on the display device 40, for example. In addition, the processing device 20 may, for example, further store the generated correction suggestions in the learning squeeze action database 34, so that, for example, the learner can query the above-mentioned correction suggestions and generate a correction report through the learning squeeze action database. In addition, the display device 40 of the present invention can, for example, simultaneously display the teaching squeezing motion data detected by the squeezing motion detection device 10 and the learning squeezing motion data for real-time viewing by learners.

In short, this creation can detect the teaching squeeze action of the teacher and the learning squeeze action of the detective learner, and then through comparison and analysis, it can be judged that the learner’s learning squeeze action is compared with that of the teacher The correctness of teaching the squeeze movement. In addition, further suggestions for amendments can be provided.

Take the right-handed squeezing action as an example. The basic posture when squeezing flowers is to place the nails on your chest as much as possible after you pick them up. The viewing angle is exactly 45 degrees when you look down. You can see the angle of the flower's mouth, which will be easier to operate. You can also observe from the top whether the extruded flower is round or not, so as to avoid finding that the whole flower is tilted to one side after the extruded flower. The angle between the flower mouth and the flower nail: the angle between the flower mouth and the flower nail is viewed from the side of the flower mouth and the plane of the flower nail. Usually when squeezing a cylindrical or conical base, the opening of the flower mouth needs to fit the flower nail completely, so it will be 90 degrees vertical; when squeezing a relatively upright petal, it will appear parallel. Angle of the flower mouth: After holding the squeeze bag (flower mouth), place it approximately in front of the collarbone, with the flower mouth facing straight ahead, the first side facing up, and the second side facing down. Imagine the flower mouth as an hour hand. The first side is tilted a little to the left in the 11 o'clock direction, if it is tilted a little to the right, it is 1 o'clock, and a little further is 2 o'clock. When the flower mouth is at 12 o'clock, the extruded petals will be vertical. The more you pour in the direction of 1, 2, and 3 o'clock, the more the extruded petals will bloom; on the other hand, the more you pour in the direction of 11 o'clock, the more the extruded petals will be. Therefore, the value detected in this creation can be, for example, one or more of posture, pressure, distance, angle, and speed (time).

The flower squeezing motion detection device 10 of the present creation can be, for example, an image capturing device, so as to capture the teaching squeezing motion data of the teacher and the learner's learning squeezing motion data, that is, the teaching squeezing motion data. The data and the data for learning the squeeze movement are all images. Among them, this creation can, for example, use the tree plum technique to identify images. Alternatively, the squeezing motion detection device 10 of the present creation can be, for example, a pressure sensing device, so as to capture the data of the teaching squeezing motion of the teacher and the data of the learner's learning squeezing motion, that is, the teaching squeezing motion. The data of the movement and the data of learning the squeeze movement are pressure values. Among them, this creation can be, for example, detecting the pressure value of the squeeze bag and/or the squeeze nozzle. Alternatively, the flower squeezing motion detection device 10 of the present creation can be, for example, a distance sensing device, so as to capture the teaching squeezing motion data of the teacher and the learner's learning squeezing motion data, that is, the teaching squeezing motion. The movement data and the data for learning the flower squeeze movement are the distance values between the flower mouth and the flower nail in the flower squeeze movement. Or, the squeezing motion detection device 10 of the present creation can be, for example, an angle sensing device, so as to capture the data of the teaching squeezing motion of the teacher and the learner's learning squeezing motion data, that is, the teaching squeezing motion. The data of the movement and the data of learning the squeeze movement are the angle values between the flower mouth and the flower nail in the squeeze movement. Alternatively, the squeezing motion detection device 10 of the present creation can be, for example, a timer, so as to capture the data of the teaching squeezing motion of the teacher and the data of the learning squeezing motion of the learner, that is, the teaching squeezing motion. The data and the data for learning the squeeze movement are all time values. The flower squeezing motion detection device 10 of this creation is not limited to any one of the aforementioned detection devices, and the flower squeezing motion detection device 10 of this creation can also be any combination of the aforementioned detection devices.

In summary, the intelligent squeezing movement training system of the present invention has the following advantages:

(1) Better effect by motion detection: Through precise motion disassembly, and after the motion and the linkage relationship between them are parameterized, the effect of motion detection is better.

(2) The motion correction suggestion is more accurate: due to the parameterization of the entire squeezing process, the motion detection device is used to detect and accurately compare with the movements of the experienced master, so that the parameter difference can be fed back to get more accurate Correction suggestions.

(3) It is more effective to solve the lack of professional masters: only need to establish an accurate squeeze movement database for a few professional masters, and the system can be replicated to various places for training of related students, and also solve the shortage of related professional teachers. problem.

(4) Labor costs are reduced: each system is a master, and there is no overtime pay, and it will not be inaccurate due to fatigue, thus effectively reducing related labor costs.

The above descriptions are merely illustrative and not restrictive. Any equivalent modifications or alterations that do not depart from the spirit and scope of the present invention should be included in the scope of the appended patent application.

10: Squeezing motion detection device 20: Processing device 30: storage device 32: Teaching squeeze movement database 34: Learn to squeeze database 40: display device 50: Input device

Figure 1 is a schematic diagram of the created intelligent squeeze movement training system.

10: Squeezing motion detection device

20: Processing device

30: storage device

32: Teaching squeeze movement database

34: Learn to squeeze database

40: display device

50: Input device

Claims (10)

An intelligent squeezing motion training system, at least comprising: a squeezing motion detection device detects the teaching squeezing motion of one of the teachers; a processing device receives the data of the teaching squeezing motion, thereby disassembling the teaching squeezing motion Resolve into a plurality of teaching continuous squeezing actions, and parameterize the linkage relationship between these teaching continuous squeezing actions and these teaching continuous squeezing actions to establish a teaching squeezing action database; the squeezing motion detection The device detects that one of the learners learns to squeeze; and the processing device receives the data of the learned squeeze, thereby disassembling the learned squeeze into a plurality of learning continuous squeezing actions, and the learning is continuous The linkage relationship between the squeezing motions and the learning continuous squeezing motions is parameterized and compared with the difference in the linkage relationships between the teaching continuous squeezing motions and the teaching continuous squeezing motions, thereby Judge the correctness of one of the learner's squeezing movements. For example, the intelligent squeezing movement training system described in the first item of the patent application, wherein the processing device further parameterizes the learned continuous squeezing actions and the linkage relationships between the learned continuous squeezing actions and stores them in One learns to squeeze in the database. The intelligent squeeze movement training system as described in item 2 of the scope of patent application, wherein the processing device further parameterizes and compares the linkage relationships between the learned continuous squeezing actions and the learned continuous squeezing actions Compared with the difference in the linkage relationships between the teaching continuous squeezing actions and the teaching continuous squeezing actions, a correction suggestion is generated. The intelligent squeeze movement training system described in item 3 of the scope of patent application, wherein the processing device further stores the correction suggestion in the learning squeeze movement database. For example, the intelligent squeeze movement training system described in item 3 of the scope of patent application, wherein the learner queries the correction suggestion through the learning squeeze movement database and generates a correction report. The intelligent squeezing motion training system described in the first item of the scope of patent application, wherein the squeezing motion detection device is an image capturing device, and the data is an image. The intelligent squeezing motion training system described in the first item of the scope of patent application, wherein the squeezing motion detection device is a pressure sensing device, and the data is a pressure value. For example, the intelligent squeezing motion training system described in the first item of the patent application, wherein the squeezing motion detection device is a distance sensing device, and the data is the teaching squeezing motion and the flower mouth and the mouth of the learning squeezing motion The value of the distance between the nails. For example, the intelligent squeezing motion training system described in the first item of the patent application, wherein the squeezing motion detection device is an angle sensing device, and the data is the teaching squeezing motion and the flower mouth in the learning squeezing motion The angle value between the spikes. The intelligent squeeze motion training system described in the first item of the patent application, wherein the squeeze motion detection device is a timing device, and the data is a time value.

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