CN114681882A - Basketball shooting training device for controlling muscle exoskeleton through artificial intelligence - Google Patents
Basketball shooting training device for controlling muscle exoskeleton through artificial intelligence Download PDFInfo
- Publication number
- CN114681882A CN114681882A CN202210445078.9A CN202210445078A CN114681882A CN 114681882 A CN114681882 A CN 114681882A CN 202210445078 A CN202210445078 A CN 202210445078A CN 114681882 A CN114681882 A CN 114681882A
- Authority
- CN
- China
- Prior art keywords
- shooting
- exoskeleton
- muscle
- data
- trainee
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B69/00—Training appliances or apparatus for special sports
- A63B69/0071—Training appliances or apparatus for special sports for basketball
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0003—Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
- A63B24/0006—Computerised comparison for qualitative assessment of motion sequences or the course of a movement
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0003—Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
- A63B24/0006—Computerised comparison for qualitative assessment of motion sequences or the course of a movement
- A63B2024/0012—Comparing movements or motion sequences with a registered reference
Landscapes
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Physical Education & Sports Medicine (AREA)
- Manipulator (AREA)
- Rehabilitation Tools (AREA)
Abstract
The invention discloses a basketball shooting training device for controlling a muscle exoskeleton through artificial intelligence, which comprises a human skeleton data acquisition device, an AI control device and a whole-body muscle exoskeleton device, wherein a shooting action database is arranged in the AI control device; the human body skeleton data acquisition device acquires the body skeleton size of a trainee and transmits the acquired data to the AI control device; the AI control device controls the whole body muscle exoskeleton device in a wired or wireless mode and correspondingly deforms according to the body skeleton size data of the trainee; the whole-body muscle exoskeleton device is attached to the whole body of a trainee to reach five fingers, controls the whole-body exercise training of the trainee, and corrects the wrong actions by assisting or resisting the trainee through the muscle exoskeleton telescopic unit. The device ensures the stability of the action specification through AI intelligent control, so that a trainer can truly perceive a plurality of movement specifications such as amplitude, speed, strength and the like of the action, and the requirements of different trainers are met.
Description
Technical Field
The invention relates to the technical field of training instruments, in particular to a basketball shooting training device with muscle exoskeleton controlled by artificial intelligence.
Background
At present, with the development of modern science and technology, new development opportunities are provided for sports training, high-technology development provides new power for sports training, and high-technology training equipment also has an excellent effect on improving the quality and effect of the sports training.
However, the AI robot in the prior art can only perform simple setting actions, and is not seen in the practical field of sports, and the muscle exoskeleton is only the work assistance of human body, and has no independent learning function of the AI robot and artificial intelligence.
Disclosure of Invention
The invention aims to provide a basketball shooting training device for controlling a muscle exoskeleton through artificial intelligence, which ensures the stability of action specifications through AI intelligent control, enables a trainer to truly perceive a plurality of movement action specifications such as amplitude, speed, strength and the like of actions, quickly establishes the movement power shaping of shooting actions, improves the training effect and meets the requirements of different trainers.
The purpose of the invention is realized by the following technical scheme:
a basketball shooting training device with artificial intelligence to control muscle exoskeletons, the device comprising a human skeletal data acquisition device, an AI control device and a whole body muscle exoskeletons device, wherein:
a shooting action database is arranged in the AI control device and comprises shooting body posture angle parameters and shooting body movement parameter data on the shoulders of a single hand;
the human body skeleton data acquisition device is used for acquiring the body skeleton size of a trainee, and comprises size data of four limbs, a trunk and shoulders of the trainee, particularly, a face recognition technology is adopted, data acquisition points are arranged on the four limbs, the trunk and the shoulders of the trainee, and after the size data of the body skeleton of the trainee is acquired, the acquired data are transmitted to the AI control device;
the AI control device receives the data transmitted by the human body skeleton data acquisition device and controls the whole body muscle exoskeleton device in a wired or wireless mode to enable the whole body muscle exoskeleton device to deform correspondingly according to the body skeleton size data of the trainee so as to be suitable for being worn by trainees with different heights and body shapes;
the whole-body muscle exoskeleton device is attached to the whole body of the trainee to reach five fingers, controls the whole-body exercise training of the trainee, and corrects the wrong actions by the aid of the assistance or resistance of the muscle exoskeleton telescopic unit to the trainee, so that the goal of shooting training is achieved.
According to the technical scheme provided by the invention, the device ensures the stability of the action specification through AI intelligent control, so that a trainer can truly sense a plurality of movement specifications such as amplitude, speed, strength and the like of the action, the movement dynamic shaping of shooting action is quickly established, the training effect is improved, and the requirements of different trainers are met.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a basketball shooting training device with muscle exoskeletons controlled by artificial intelligence according to an embodiment of the invention;
fig. 2 is a schematic diagram of the overall structure of the whole body muscle exoskeleton device according to the embodiment of the present invention;
FIG. 3 is a schematic front view of the whole body muscle exoskeleton device according to an embodiment of the present invention;
fig. 4 is a schematic front view of a muscle exoskeleton extension unit according to an embodiment of the present invention;
fig. 5 is a side view of the muscle exoskeleton expansion unit according to the embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention are clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, not all embodiments, and this does not limit the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic structural diagram of a basketball shooting training apparatus for controlling a muscle exoskeleton through artificial intelligence according to an embodiment of the present invention, the basketball shooting training apparatus includes a human skeleton data collecting device, an AI control device, and a whole body muscle exoskeleton device, wherein:
a shooting action database is arranged in the AI control device and comprises shooting body posture angle parameters and shooting body movement parameter data on the shoulders of a single hand;
the human body skeleton data acquisition device is used for acquiring the body skeleton size of a trainee, and comprises size data of four limbs, a trunk and shoulders of the trainee, particularly, a face recognition technology is adopted, data acquisition points are arranged on the four limbs, the trunk and the shoulders of the trainee, and after the size data of the body skeleton of the trainee is acquired, the acquired data are transmitted to the AI control device;
the AI control device receives the data transmitted by the human body skeleton data acquisition device and controls the whole body muscle exoskeleton device in a wired or wireless mode to enable the whole body muscle exoskeleton device to deform correspondingly according to the body skeleton size data of the trainee so as to be suitable for being worn by trainees with different heights and body shapes;
the whole-body muscle exoskeleton device is attached to the whole body of the trainee to reach five fingers, controls the whole-body exercise training of the trainee, and corrects the wrong actions by the aid of the assistance or resistance of the muscle exoskeleton telescopic unit to the trainee, so that the goal of shooting training is achieved.
In a specific implementation, a motion sensor is arranged in the whole-body muscle exoskeleton device and is used for acquiring motion information of the trainee in motion training and transmitting the acquired motion information to the AI control device;
the AI control device compares the received motion information with the parameter data in the shooting action database, and sends out a correction instruction according to the comparison result to be transmitted to the whole body muscle exoskeleton device;
and the muscle exoskeleton stretching unit in the whole body muscle exoskeleton device makes corresponding assistance or resistance according to a correction instruction, corrects redundant or wrong actions of the trainee, and enables the actions of the trainee to gradually approach to the actions selected in the shooting action database, thereby achieving the purpose of shooting training.
In specific implementation, the shooting body posture angle parameters include body posture data of a shooting preparation stage on a single hand shoulder, body posture data of a shooting basketball on a single hand shoulder when being lifted to a top of a head for preparation of strength for shooting, and body posture data of the shooting basketball on a single hand shoulder after being released, wherein:
the body pose data for the preparation phase of a single hand on-shoulder shot comprises: the included angle between two thighs is < pre 1; an included angle between the thigh and the shank is < 2 >; the forward inclination angle of the trunk is < pre 3; the included angle between the left forearm and the horizontal plane is < pre 4; the included angle between the right forearm and the horizontal plane is < 5;
the body posture data of the basketball shot on the shoulder of one hand when the basketball is lifted to the top of the head to prepare for strength shooting comprises the following data: the included angle between the right-hand large arm and the horizontal plane is 1 in the middle; the included angle between the right hand forearm and the horizontal plane is 2; the included angle between the right large arm and the coronal plane is middle 3; the included angle between the right small arm and the sagittal plane is middle 4; the included angle between the palm and the right small arm is less than 5; the included angle between two thighs is less than 6;
the body posture data of the basketball shot on the shoulder of the single hand after the basketball is shot out of the hand comprises: the included angle between the right-hand large arm and the horizontal plane is less than 1; the included angle between the right hand forearm and the horizontal plane is 2; the included angle between the right large arm and the coronal plane is less than 3; the included angle between the right small arm and the sagittal plane is 4; the included angle between the palm and the right small arm is less than 5; the included angle between the two thighs is less than 6; the included angle between the left large arm and the horizontal plane is less than 7; the included angle between the left small arm and the horizontal plane is less than 8; the included angle between the left palm and the left forearm is less than 9.
The motion parameters of the body shooting on the shoulder of the single hand are trisected according to the motion track of the palm center of the hand from the preparation of shooting to the shooting, four points are set, and the kinematic parameters of the four points specifically comprise:
the first point is a starting point, and each parameter is zero;
the second point is the end point of the first segment, and the kinematic parameters of the second point include: the terminal velocity is V2; the terminal angular velocity is ω 2; the swing force is F2; the acceleration of the arm is a 2;
the third point is the end point of the second equal segment, and the kinematic parameters of the third point comprise: the terminal velocity is V3; the terminal angular velocity is ω 3; the swing force is F3; the acceleration of the arm is a 3;
the fourth point is an end point, and the kinematic parameters of the fourth point comprise: the terminal velocity is V4; the terminal angular velocity is ω 4; the swing force is F4; the arm acceleration is a 4.
In addition, the establishment process of the shooting action database is as follows:
firstly, analyzing and obtaining shooting body posture angle parameters and shooting body motion parameter data on a single hand shoulder from video of an excellent basketball player, taking the analyzed data as a base point, taking the maximum height of a shooting take-off foot of the excellent basketball player from the ground as a reference height H, and upwards extending to establish two shooting data parameters, wherein the first extending height is H +3 cm, and the second extending height is H +6 cm;
after the shooting data with the upward height is built, establishing downward data, extending downward to establish a plurality of shooting data parameters, wherein the first height of the downward extension is H-3 cm, and the second height is H-6 cm, and the shooting data parameters are up to the ground;
thus, a series of shooting data parameters from the ground to the height of H +6 are constructed, and a complete database is formed.
For example, taking the actions of jordan of a basketball player as an example, firstly, selecting a game video of jordan, and carrying out biomechanical analysis on the shooting actions of one hand and shoulder of the jordan, wherein the biomechanical analysis mainly analyzes all movement links of the body of the whole process of landing two feet after the jordan is shot from the buffering of the two feet to the jumping, such as the movement speed, the strength, the angular speed index and the like of four limbs and trunk parts, and the data form a movement model of complete actions;
then, the lifting amplitude of the body gravity center of the action is taken as a reference H, shooting action data of the height is established by taking each 3 cm as a scale, the upward extending height is H +9 cm, the downward extending height is 10 cm away from the ground, and a whole set of shooting action database used as a reference is established for reading by an AI control device.
Fig. 2 is a schematic diagram of the overall structure of the whole-body muscle exoskeleton device according to the embodiment of the present invention, which includes a palm and five-finger exoskeleton 1, a basketball shooting arm exoskeleton 2, a bandage 3, a trunk exoskeleton 4, a waist exoskeleton 5, a lower limb exoskeleton 6, a joint motor 7, and a sole exoskeleton 8, wherein:
each joint of the palm and five-finger exoskeleton 1, the shooting arm exoskeleton 2, the trunk exoskeleton 4, the waist exoskeleton 5, the lower limb exoskeleton 6 and the sole exoskeleton 8 is provided with a joint motor 7 (namely a stepping motor), and each joint motor 7 is provided with an independent wire to drive the exoskeleton of each part of the body to move;
the exoskeleton of each part moves in coordination with the movement of the musculoskeletal system of the trainee; for example, the palmar and five-finger exoskeleton 1 acts in coordination with the movements of the trainee's palm during the shooting action of the trainee.
The joint motor 7 is internally provided with a tension sensor which can sense the movement tension of the muscle of the trainee and transmit the collected data to the AI control device for summary analysis.
Fig. 3 is a front view of the whole body muscle exoskeleton device according to the embodiment of the present invention, wherein the whole body muscle exoskeleton device is attached in a front attachment manner, a side attachment manner, and a rear attachment manner.
Wherein, the front attachment: the muscle exoskeleton is attached to the front of the corresponding part on the human body; side attachment: the muscle exoskeleton is attached to the side of the corresponding part on the human body; post-adhesion: the muscle exoskeleton is attached to the back of the corresponding part of the human body.
Fig. 4 is a front schematic view of the muscle exoskeleton stretching unit according to the embodiment of the present invention, and fig. 5 is a side schematic view of the muscle exoskeleton stretching unit according to the embodiment of the present invention, which is combined with fig. 4 and 5, the muscle exoskeleton stretching unit includes: step motor pinion 1, step motor 2, flexible unit gear wheel 3, AI control module 4, flexible unit bolt 5, flexible unit nut 6, flexible unit stiff end 7, wherein:
the AI control module 4 receives an instruction of the AI control device and controls the stepping motor 2 to complete length expansion;
the stepping motor 2 is instructed by the AI control module 4 to drive the stepping motor pinion 1 to rotate, further drive the large telescopic unit gear 3 to rotate, and is linked with the telescopic unit bolt 5 to rotate, the telescopic unit nut 6 is pulled to move, and finally the telescopic purpose is achieved, so that the muscle exoskeleton is highly matched with the trainee.
Wherein, flexible unit bolt 5 is under step motor 2's drive, and to the right turn shorten, to the left turn extension, and the screw thread turns round to be 1 millimeter.
In addition, the AI control device can also have a voice communication function, and can prompt the trainee to strengthen a certain action link in time, so that the trainee has independent learning ability.
The operation of the basketball shooting training apparatus is described in detail below with specific examples:
firstly, an AI control device performs point picking and identification on a body skeleton of a trainer, and the AI control device controls the corresponding stretching of the whole body muscle exoskeleton device according to the body skeleton characteristics of the trainer after identification so as to be suitable for the wearing and training of the trainer; here, the trainer can receive the selection of training action of the trainer when wearing the device, and after the AI control device observes the ability level of the trainer to determine the action data to be selected by the trainer, the trainer can carry the whole body muscle exoskeleton device to train;
in training, the whole body muscle exoskeleton device collects data such as movement speed, angular speed, strength and the like of each joint of a trainer during shooting through a built-in movement sensor, and transmits the data to the AI control device;
the AI control device compares the obtained data with the data in a built-in shooting action database after determining the action of the trainer, and corrects irregular actions according to the comparison result, wherein the correction method is gradually performed in a small amplitude and mainly realized in a power-assisted or resistance mode. Here, can avoid the sporter to be injured with small amplitude form, AI controlling means has summary and accumulation function simultaneously, can in time remind the easy mistake of making of trainer through trainer's training condition, makes the trainer arouse to regard as, and AI controlling means still can establish the archives for every trainer in addition, analyzes trainer's progress condition, gives corresponding evaluation to can in time communicate with the trainer.
For example, if the trainer needs to select an action exceeding the self ability, if the trainer can jump up to fifteen centimeters from the ground, but the trainer wants to jump up to the same shooting height as Qiaodan, the AI control device can select corresponding assistance by comparing the difference, and give an assistance instruction to the muscle exoskeleton device of the whole body, so that the trainer can finish the action;
in addition, in the concrete implementation, the AI control device can also compensate shooting errors so as to improve the shooting hit rate, specifically, four induction points are arranged on the basket, the four induction points are arranged in a square array on the basket, the centers of the four induction points are the shooting target reference points, and six induction points, namely an upper induction point, a lower induction point, a left induction point, a right induction point, a front induction point and a rear induction point, are uniformly arranged on the basketball; after the basketball is shot, if the basketball falls to the front of the basket, the AI control device senses the difference between the set points of the basketball and the basket through the camera and timely sends an instruction to the whole-body muscle exoskeleton device to form assistance to improve the shooting strength of the arms; if the basketball flies through the induction point of the basket after the basketball is shot over force, the AI control device collects the nearest distance between the basketball and the center of the basket through the camera, calculates the height, and sends an instruction to the whole-body muscle exoskeleton device in time, so that the shooting assistance is reduced, the resistance is formed, the arm shooting strength is reduced, and the shooting error compensation of the assistance and the resistance auxiliary adjustment is realized.
It is noted that those skilled in the art will recognize that embodiments of the present invention are not described in detail herein.
In summary, the basketball shooting training device provided by the embodiment of the invention has the advantages that: shooting actions of a plurality of excellent basketball players can be simulated, a trainer can choose and practice the basketball players, and the action precision is high; a database of corresponding proportional action amplitudes is established through the height characteristics of the trainer, and the proportional action amplitudes are sequentially increased from low to high, so that the physical ability of the trainer is better met; secondly, the stable motion specification can be ensured through AI intelligent control, so that a trainer can truly perceive a plurality of motion specifications such as amplitude, speed, strength and the like of the motion, the motion dynamic shaping of shooting motion is quickly established, the training effect is improved, and the requirements of different trainers are met.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims. The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Claims (8)
1. A basketball shooting training device with artificial intelligence to control muscle exoskeletons, the device comprising a human skeleton data acquisition device, an AI control device and a whole body muscle exoskeletons device, wherein:
a shooting action database is arranged in the AI control device and comprises shooting body posture angle parameters and shooting body movement parameter data on the shoulders of a single hand;
the human body skeleton data acquisition device is used for acquiring the body skeleton size of a trainee, and comprises size data of four limbs, a trunk and shoulders of the trainee, particularly, a face recognition technology is adopted, data acquisition points are arranged on the four limbs, the trunk and the shoulders of the trainee, and after the size data of the body skeleton of the trainee is acquired, the acquired data are transmitted to the AI control device;
the AI control device receives the data transmitted by the human body skeleton data acquisition device and controls the whole body muscle exoskeleton device in a wired or wireless mode to enable the whole body muscle exoskeleton device to deform correspondingly according to the body skeleton size data of the trainee so as to be suitable for being worn by trainees with different heights and body shapes;
the whole-body muscle exoskeleton device is attached to the whole body of the trainee to reach five fingers, controls the whole-body exercise training of the trainee, and corrects the wrong actions by the aid of the assistance or resistance of the muscle exoskeleton telescopic unit to the trainee, so that the goal of shooting training is achieved.
2. The basketball shooting training apparatus for controlling the muscle exoskeleton of claim 1, wherein a motion sensor is built in the whole body muscle exoskeleton apparatus for collecting the motion information of the trainee in the motion training and transmitting the collected motion information to the AI control device;
the AI control device compares the received motion information with the parameter data in the shooting action database, and sends out a correction instruction according to the comparison result to be transmitted to the whole body muscle exoskeleton device;
and the muscle exoskeleton stretching unit in the whole body muscle exoskeleton device makes corresponding assistance or resistance according to a correction instruction, corrects redundant or wrong actions of the trainee, and enables the actions of the trainee to gradually approach to the actions selected in the shooting action database, thereby achieving the purpose of shooting training.
3. The device of claim 1, wherein the basketball shooting body posture angle parameters comprise body posture data of a one-handed shoulder shooting preparation phase, body posture data of a one-handed shoulder shooting basketball when being held to the top of the head to prepare for a power shot, and body posture data of a one-handed shoulder shooting basketball after being released, wherein:
the body pose data for the preparation phase of a single hand on-shoulder shot comprises: the included angle between two thighs is < pre 1; the included angle between the thigh and the shank is < pre 2; the forward inclination angle of the trunk is < pre 3 >; the included angle between the left forearm and the horizontal plane is < pre 4; the included angle between the right forearm and the horizontal plane is < pre-5;
the body posture data of the basketball shot on the shoulder of one hand when the basketball is lifted to the top of the head to prepare for strength shooting comprises the following data: the included angle between the right-hand large arm and the horizontal plane is 1 in the middle; the included angle between the right hand forearm and the horizontal plane is 2; the included angle between the right large arm and the coronal plane is middle 3; the included angle between the right small arm and the sagittal plane is middle 4; the included angle between the palm and the right small arm is less than 5; the included angle between two thighs is equal to 6;
the body posture data of the basketball shot on the shoulder of the single hand after the basketball is shot out of the hand comprises: the included angle between the right-hand large arm and the horizontal plane is less than 1; the included angle between the right-hand forearm and the horizontal plane is 2; the included angle between the right large arm and the coronal plane is less than 3; the included angle between the right small arm and the sagittal plane is minus 4; the included angle between the palm and the right small arm is less than 5; the included angle between the two thighs is less than 6; the included angle between the left large arm and the horizontal plane is less than 7; the included angle between the left small arm and the horizontal plane is less than 8; the included angle between the left palm and the left forearm is less than 9.
4. The basketball shooting training apparatus using artificial intelligence to control muscle exoskeletons according to claim 1, wherein the physical motion parameters of the single hand shooting on the shoulder are trisected according to the motion track of the palm center of the hand from the start of shooting to the end of shooting, and are set as four points, and the kinematic parameters of the four points specifically include:
the first point is a starting point, and each parameter is zero;
the second point is the end point of the first segment, and the kinematic parameters of the second point include: the terminal velocity is V2; the terminal angular velocity is ω 2; the swing force is F2; the acceleration of the arm is a 2;
the third point is the end point of the second equal segment, and the kinematic parameters of the third point comprise: the terminal velocity is V3; the terminal angular velocity is ω 3; the swing force is F3; the acceleration of the arm is a 3;
the fourth point is an end point, and the kinematic parameters of the fourth point comprise: the terminal velocity is V4; the terminal angular velocity is ω 4; the swing force is F4; the arm acceleration is a 4.
5. The device for basketball shooting training with artificial intelligence control of muscular exoskeletons of claim 1, wherein the shooting action database is established by:
firstly, analyzing and obtaining shooting body posture angle parameters and shooting body motion parameter data on a single hand shoulder from video of an excellent basketball player, taking the analyzed data as a base point, taking the maximum height of a shooting take-off foot of the excellent basketball player from the ground as a reference height H, and upwards extending to establish two shooting data parameters, wherein the first extending height is H +3 cm, and the second extending height is H +6 cm;
after the shooting data with the upward height is built, downward data is built, a plurality of shooting data parameters are built by extending downwards, the first height of the downward extension is H-3 cm, and the second height is H-6 cm until the ground;
thus, a series of shooting data parameters from the ground to the height of H +6 are constructed, and a complete database is formed.
6. The device for basketball shooting training with artificial intelligence control of muscle exoskeletons of claim 1 wherein said whole body muscle exoskeletons device includes: palm and five-finger ectoskeleton, shooting arm ectoskeleton, bandage, trunk ectoskeleton, waist ectoskeleton, lower limbs ectoskeleton, joint motor, sole ectoskeleton, wherein:
each joint of the palm and five-finger exoskeleton, the shooting arm exoskeleton, the trunk exoskeleton, the waist exoskeleton, the lower limb exoskeleton and the sole exoskeleton is provided with a joint motor, and each joint motor is provided with an independent wire to drive the exoskeleton of each part of the body to move;
the exoskeleton of each part moves in coordination with the movement of the musculoskeletal system of the trainee;
a tension sensor is arranged in the joint motor, can sense the movement tension of the muscle of a trainee, and transmits the acquired data to the AI control device for summarizing and analysis;
the whole body muscle exoskeleton device is attached in a front attachment mode, a side attachment mode and a rear attachment mode.
7. The device for basketball shooting training with artificial intelligence to control muscle exoskeletons of claim 1 wherein the muscle exoskeletons extension unit includes: step motor pinion, step motor, flexible unit gear wheel, AI control module, flexible unit bolt, flexible unit nut, flexible unit stiff end, wherein:
the AI control module receives an instruction of the AI control device and controls the stepping motor to complete length expansion;
the stepping motor is instructed by the AI control module to drive the stepping motor pinion to rotate, further drive the telescopic unit bull gear to rotate, and link the telescopic unit bolt to rotate, pull the telescopic unit nut to move, and achieve the telescopic purpose;
wherein, flexible unit bolt shortens to turning to the right under step motor's drive, and the extension turns to the left, and the screw thread turns round to be 1 millimeter.
8. The basketball shooting training apparatus using artificial intelligence to control muscle exoskeletons as claimed in claim 1, wherein said AI control device has a voice communication function to prompt the trainee to strengthen a certain action link in time.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210445078.9A CN114681882B (en) | 2022-04-26 | 2022-04-26 | Basketball shooting training device for controlling muscle exoskeleton through artificial intelligence |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210445078.9A CN114681882B (en) | 2022-04-26 | 2022-04-26 | Basketball shooting training device for controlling muscle exoskeleton through artificial intelligence |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114681882A true CN114681882A (en) | 2022-07-01 |
| CN114681882B CN114681882B (en) | 2023-03-07 |
Family
ID=82144576
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210445078.9A Active CN114681882B (en) | 2022-04-26 | 2022-04-26 | Basketball shooting training device for controlling muscle exoskeleton through artificial intelligence |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114681882B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115337618A (en) * | 2022-08-02 | 2022-11-15 | 广东工业大学 | Auxiliary training device, system and method for soldier ping-pong sports |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7771293B1 (en) * | 2005-11-22 | 2010-08-10 | Kayode Teddy Vann | Basketball shooting training aid and method for its use |
| CN105107178A (en) * | 2015-08-03 | 2015-12-02 | 厦门市简极科技有限公司 | Shooting action training method |
| CN107320928A (en) * | 2017-08-08 | 2017-11-07 | 苏州大学 | Wearable auxiliary basket shooting apptss and control method |
| CN108888929A (en) * | 2018-05-03 | 2018-11-27 | 北京工业大学 | The robot that a auxiliary basketball is thrown |
| CN209108561U (en) * | 2018-11-05 | 2019-07-16 | 曲靖医学高等专科学校 | A kind of dedicated training device of body-building basketball shooting |
| CN110075498A (en) * | 2019-04-22 | 2019-08-02 | 杨天桥 | A kind of basketball auxiliary training system |
-
2022
- 2022-04-26 CN CN202210445078.9A patent/CN114681882B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7771293B1 (en) * | 2005-11-22 | 2010-08-10 | Kayode Teddy Vann | Basketball shooting training aid and method for its use |
| CN105107178A (en) * | 2015-08-03 | 2015-12-02 | 厦门市简极科技有限公司 | Shooting action training method |
| CN107320928A (en) * | 2017-08-08 | 2017-11-07 | 苏州大学 | Wearable auxiliary basket shooting apptss and control method |
| CN108888929A (en) * | 2018-05-03 | 2018-11-27 | 北京工业大学 | The robot that a auxiliary basketball is thrown |
| CN209108561U (en) * | 2018-11-05 | 2019-07-16 | 曲靖医学高等专科学校 | A kind of dedicated training device of body-building basketball shooting |
| CN110075498A (en) * | 2019-04-22 | 2019-08-02 | 杨天桥 | A kind of basketball auxiliary training system |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115337618A (en) * | 2022-08-02 | 2022-11-15 | 广东工业大学 | Auxiliary training device, system and method for soldier ping-pong sports |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114681882B (en) | 2023-03-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Morriën et al. | Biomechanics in paralympics: implications for performance | |
| US8342978B2 (en) | Device for instructing downswing in golf swing | |
| CN114366556B (en) | Multimode training control system and method for lower limb rehabilitation | |
| CN110215676A (en) | A kind of upper limb both arms rehabilitation training man-machine interaction method and system | |
| EP4021297B1 (en) | Systems for wearable devices that determine balance indices | |
| CN205198906U (en) | A motion pattern corrects system for assisting body -building | |
| CN113571153A (en) | Passive training sensing system for limb rehabilitation of cerebral palsy patient and client side thereof | |
| CN114681882B (en) | Basketball shooting training device for controlling muscle exoskeleton through artificial intelligence | |
| CN109564737A (en) | Training auxiliary | |
| CN115227542A (en) | Comprehensive rehabilitation system and method for wrist and hand | |
| CN114870323A (en) | Fitness equipment and exercise evaluation method for fitness equipment | |
| CN107519633A (en) | Gliding motility analog machine | |
| Yeadon et al. | Fifty years of performance‐related sports biomechanics research | |
| CN113730868A (en) | Game type core stabilization rehabilitation training system | |
| CN109395349A (en) | A kind of swimming supplemental training device | |
| US20230321480A1 (en) | Lower-limb walking rehabilitation trainer | |
| CN202460051U (en) | Fencing target | |
| CN207085254U (en) | Gliding motility analog machine | |
| CN112827153A (en) | Active self-adaptive system for human body function training and control method thereof | |
| Felton et al. | Are planar simulation models affected by the assumption of coincident joint centers at the hip and shoulder? | |
| CN109224413B (en) | Waterless swimming training correcting machine | |
| KR100980193B1 (en) | Device for training and maesuring in judo | |
| Kolimechkov et al. | Kinematic analysis of double back straight somersault and double back straight somersault with full twist on rings | |
| He et al. | Lower Limb Muscle Forces in Table Tennis Footwork during Topspin Forehand Stroke Based on the OpenSim Musculoskeletal Model: A Pilot Study. | |
| CN209696237U (en) | A kind of swimming supplemental training device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |