CN114558273A - Wearing state analysis platform based on air current is discerned - Google Patents
Wearing state analysis platform based on air current is discerned Download PDFInfo
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- CN114558273A CN114558273A CN202111080462.5A CN202111080462A CN114558273A CN 114558273 A CN114558273 A CN 114558273A CN 202111080462 A CN202111080462 A CN 202111080462A CN 114558273 A CN114558273 A CN 114558273A
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- 238000004458 analytical method Methods 0.000 title claims abstract description 36
- 238000003384 imaging method Methods 0.000 claims abstract description 127
- 230000007246 mechanism Effects 0.000 claims abstract description 53
- 230000008859 change Effects 0.000 claims abstract description 12
- 238000013075 data extraction Methods 0.000 claims abstract description 7
- 238000013507 mapping Methods 0.000 claims description 12
- 230000009471 action Effects 0.000 claims description 5
- 230000015572 biosynthetic process Effects 0.000 claims description 5
- 238000000034 method Methods 0.000 claims description 4
- 238000000354 decomposition reaction Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 abstract description 9
- 238000012544 monitoring process Methods 0.000 description 6
- 230000001174 ascending effect Effects 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 230000003014 reinforcing effect Effects 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 238000010586 diagram Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B5/00—Apparatus for jumping
- A63B5/11—Trampolines
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- 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
- A63B24/0087—Electric or electronic controls for exercising apparatus of groups A63B21/00 - A63B23/00, e.g. controlling load
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V8/00—Prospecting or detecting by optical means
- G01V8/10—Detecting, e.g. by using light barriers
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
- A63B2071/0658—Position or arrangement of display
- A63B2071/0661—Position or arrangement of display arranged on the user
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
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- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention relates to a wearable state analysis platform based on airflow identification, which comprises: the air flow identification mechanism is arranged near the trampoline bed body and used for detecting the air flow change amplitude near the trampoline bed body; the data extraction mechanism is connected with the airflow identification mechanism and is used for sending a first control command when the detected airflow variation amplitude exceeds the limit; the second identification mechanism is used for executing the following operations on each human body imaging area: and detecting a foot imaging sub-area in the human body imaging area, identifying a texture imaging part matched with the sock body texture of the anti-skid sock in the foot imaging sub-area, and judging that the corresponding human body imaging area is a human body imaging area where a reliable human body object is worn when the number of pixel points occupied by the texture imaging part exceeds a limit. By the aid of the intelligent detection device, whether sports personnel on the trampoline bed wear the anti-skidding socks with the set anti-skidding textures or not can be intelligently detected.
Description
Technical Field
The invention relates to the field of airflow analysis, in particular to a wearable state analysis platform based on airflow identification.
Background
Airflow is an academic parlance of meteorology. Particularly the vertical movement of air. The flow of air (wind). The speed is expressed in meters per second. The reason for the air flow is the temperature difference caused by uneven heating, the hot air rises slightly, and the cold air flow supplements to form convection. The air in the production place is heated by a heat source in a workshop to expand in volume and reduce in density, is exhausted to the outside from an air outlet at the upper part, and outside cold air enters the room from a side window or a door to form airflow. The influence of atmospheric wind pressure on the factory building can also cause indoor airflow.
The air flow is the up-and-down movement of air, the upward moving air is called the updraft, and the downward moving air is called the downdraft. The ascending air flow is divided into various types such as power air flow, thermal air flow, mountain wave and the like, and the paraglider generally utilizes the power ascending air flow and the thermal ascending air flow to finish air stagnation, disc lifting and long-distance off-road flight. (distinction between air flow and wind) air flow is a meteorology academic parlance, wind is our life parlance, and air flow is called air flow whether it moves horizontally or vertically. However, the vertical movement of air cannot be sensed, and only horizontal airflow can be sensed, so that the wind in life can only refer to the horizontal airflow.
Among the prior art, the sportsman on the trampoline bed body should all dress the anti-skidding socks that have the anti-skidding texture of settlement to avoid slipping, reinforcing security, however, if keep always whether wearing the monitoring mechanism who has anti-skidding socks to the sportsman and must waste time and energy, do not have the sportsman on the trampoline bed body in fact possibly, artificial detection mode inefficiency and precision are not enough.
Disclosure of Invention
In order to solve the technical problems in the related field, the invention provides a wearing state analysis platform based on airflow identification, which can be used for carrying out field detection on whether sports personnel on a trampoline bed wear anti-skid socks with set anti-skid textures or not on the basis of a targeted intelligent detection mechanism, and more importantly, a monitoring trigger mechanism based on airflow change around the trampoline bed is introduced, so that the pertinence and effectiveness of wearing state monitoring are improved.
Therefore, the invention needs to have the following key invention points:
(1) introducing an airflow identification mechanism and a data extraction mechanism, detecting the variation amplitude of the airflow near the trampoline bed body, preliminarily judging that a human body exists on the trampoline bed body and triggering a corresponding human body wearing scene detection mechanism when the detected variation amplitude of the airflow exceeds the limit;
(2) whether the human body on the trampoline bed body wears the anti-skidding sock body is judged based on whether the set anti-skidding sock textures exist in the foot imaging sub-area of each human body imaging area.
According to an aspect of the present invention, there is provided a wearing state analysis platform based on airflow recognition, the platform comprising:
the air flow identification mechanism is arranged near the trampoline bed body and used for detecting the air flow change amplitude near the trampoline bed body;
the data extraction mechanism is connected with the airflow identification mechanism and is used for sending a first control command when the detected airflow variation amplitude exceeds the limit;
the gun type capturing mechanism is arranged on the side surface of the trampoline bed body, is electrically connected with the data extracting mechanism, and is used for executing real-time image capturing action on the environment where the trampoline bed body is located from the side surface when the first control command is received so as to obtain real-time captured data;
the targeted mapping equipment is connected with the gun type capturing mechanism and is used for executing image content enhancement operation of applying singular value decomposition on the received real-time captured data to obtain a corresponding targeted mapping image;
the real-time sharpening device is connected with the targeted mapping device and is used for carrying out edge sharpening operation on the received targeted mapping image so as to obtain a corresponding real-time sharpened image;
the first identification mechanism is connected with the real-time sharpening equipment and used for identifying each human body imaging area in the real-time sharpened image;
the second identification mechanism is connected with the first identification mechanism and used for executing the following operations on each human body imaging area: detecting a foot imaging sub-area in the human body imaging area, identifying a texture imaging part matched with the sock body texture of the anti-skid sock in the foot imaging sub-area, and judging that the corresponding human body imaging area is a human body imaging area where a reliable human body object is worn when the number of pixel points occupied by the texture imaging part exceeds a limit;
wherein, detect foot formation of image subregion in the human imaging region to in the foot formation of image subregion discern the texture imaging part with the socks body texture matching of anti-skidding socks, and when the quantity of the pixel that texture imaging part occupied exceeded the limit, judge that the human imaging region that corresponds is the reliable human object of dress and place for the human imaging region includes: when the number of the foot imaging sub-areas detected by the human body imaging area is two, the texture imaging part matched with the sock body texture of the anti-slip sock is identified in each foot imaging sub-area, and when the number of pixel points occupied by the texture imaging part exceeds the limit, the corresponding human body imaging area is judged to be the human body imaging area where a reliable human body object is worn.
According to another aspect of the invention, there is also provided a wearing state analyzing method based on air flow identification, the method including using the wearing state analyzing platform based on air flow identification as described above to trigger a field analysis on whether the anti-slip sock body is worn by a human body on the trampoline bed according to a state of change of air flow around the trampoline bed.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic structural diagram illustrating a trampoline bed applied to a wearable state analysis platform based on airflow recognition according to an embodiment of the invention.
Detailed Description
Embodiments of the present invention of a wearing state analysis platform based on air flow recognition will be described in detail with reference to the accompanying drawings.
The anti-slip socks are one kind of socks, and are especially suitable for wearing in long walking and sports. The short rubber bumps are arranged outside the sole part of the common sock, and the long rubber bumps are arranged outside the heel part of the common sock. Thereby, the user can move easily and the health care function is also realized.
Among the prior art, the sportsman on the trampoline bed body should all dress the anti-skidding socks that have the anti-skidding texture of settlement to avoid slipping, reinforcing security, however, if keep always whether wearing the monitoring mechanism who has anti-skidding socks to the sportsman and must waste time and energy, do not have the sportsman on the trampoline bed body in fact possibly, artificial detection mode inefficiency and precision are not enough.
In order to overcome the defects, the invention builds a wearing state analysis platform based on airflow identification, and can effectively solve the corresponding technical problem.
The wearing state analysis platform based on airflow identification according to the embodiment of the invention comprises:
the air flow identification mechanism is arranged near the trampoline bed body and used for detecting the air flow change amplitude near the trampoline bed body;
as shown in fig. 1, the trampoline body includes a bed surface 1, a bed surface rope 2 and bed legs 3, and the numerical unit in fig. 1 is mm;
the data extraction mechanism is connected with the airflow identification mechanism and is used for sending a first control command when the detected airflow change amplitude exceeds the limit;
the gun type capturing mechanism is arranged on the side surface of the trampoline bed body, is electrically connected with the data extracting mechanism, and is used for executing real-time image capturing action on the environment where the trampoline bed body is located from the side surface when the first control command is received so as to obtain real-time captured data;
the targeted mapping equipment is connected with the gun type capturing mechanism and is used for executing image content enhancement operation of applying singular value decomposition on the received real-time captured data to obtain a corresponding targeted mapping image;
the real-time sharpening device is connected with the targeted mapping device and is used for carrying out edge sharpening operation on the received targeted mapping image so as to obtain a corresponding real-time sharpened image;
the first identification mechanism is connected with the real-time sharpening equipment and used for identifying each human body imaging area in the real-time sharpened image;
the second identification mechanism is connected with the first identification mechanism and used for executing the following operations on each human body imaging area: detecting a foot imaging sub-area in the human body imaging area, identifying a texture imaging part matched with the sock body texture of the anti-skid sock in the foot imaging sub-area, and judging that the corresponding human body imaging area is a human body imaging area where a reliable human body object is worn when the number of pixel points occupied by the texture imaging part exceeds a limit;
wherein, detect foot formation of image subregion in the human imaging region to in the foot formation of image subregion discern the texture imaging part with the socks body texture matching of anti-skidding socks, and when the quantity of the pixel that texture imaging part occupied exceeded the limit, judge that the human imaging region that corresponds is the reliable human object of dress and place for the human imaging region includes: when the number of the foot imaging sub-areas detected by the human body imaging area is two, the texture imaging part matched with the sock body texture of the anti-slip sock is identified in each foot imaging sub-area, and when the number of pixel points occupied by the texture imaging part exceeds the limit, the corresponding human body imaging area is judged to be the human body imaging area where a reliable human body object is worn.
Next, a further description is continued on a specific structure of the wearing state analysis platform based on air flow identification according to the present invention.
In the wearing state analysis platform based on airflow identification:
and in the second identification mechanism, detecting a foot imaging sub-area in the human body imaging area, and judging that the corresponding human body imaging area is the human body imaging area where the mismatched human body object is worn when a texture imaging part matched with the sock body texture of the anti-skid sock is not identified in the foot imaging sub-area or the number of pixels occupied by the identified texture imaging part matched with the sock body texture of the anti-skid sock exceeds the limit.
In the wearing state analysis platform based on airflow identification:
detecting a foot imaging sub-region in the human body imaging region, and when a texture imaging part matched with the sock body texture of the anti-slip sock is not identified in the foot imaging sub-region, or the number of pixel points occupied by the identified texture imaging part matched with the sock body texture of the anti-slip sock exceeds a limit, judging that the corresponding human body imaging region is a human body imaging region where a mismatched human body object is worn, wherein the human body imaging region comprises: when the number of the foot imaging sub-areas detected by the human body imaging area is two, the texture imaging part matched with the sock body texture of the anti-slip socks is not identified in each foot imaging sub-area, or the number of the pixel points occupied by the identified texture imaging part matched with the sock body texture of the anti-slip socks is over the limit, and the corresponding human body imaging area is judged to be the human body imaging area where the mismatched human body object is worn.
In the wearing state analysis platform based on airflow identification:
the data extraction mechanism is further used for sending out a second control command when the detected air flow change amplitude does not exceed the limit.
In the wearing state analysis platform based on airflow identification:
the gun type capturing mechanism is further used for stopping executing the real-time image capturing action on the environment where the trampoline bed body is located when the second control command is received.
The wearing state analysis platform based on airflow identification can further comprise:
and the photoelectric alarm mechanism is connected with the second identification mechanism and used for executing corresponding photoelectric alarm operation when more than one reliable human body object is worn in the real-time sharpened image.
In the wearing state analysis platform based on airflow identification:
identifying each human imaging region in the real-time sharpened image comprises: and identifying each human body imaging area in the real-time sharpened image based on the human body gray scale imaging characteristics.
In the wearing state analysis platform based on airflow identification:
the photoelectric alarm mechanism is also used for stopping executing corresponding photoelectric alarm operation when more than one reliable human body object does not exist in the real-time sharpened image.
Meanwhile, in order to overcome the defects, the invention also establishes a wearing state analysis method based on the air flow identification, wherein the method comprises the step of using the wearing state analysis platform based on the air flow identification to trigger the field analysis on whether the human body on the trampoline bed wears the anti-skidding sock bodies or not according to the change state of the air flow around the trampoline bed.
In addition, in the wearing state analysis platform based on airflow identification, identifying each human body imaging region in the real-time sharpened image based on human body gray scale imaging features comprises: the human body gray imaging characteristic is a set gray value range, and is defined by a set gray upper threshold and a set gray lower threshold, wherein the values of the set gray upper threshold and the set gray lower threshold are both greater than 0 and less than 255.
By adopting the wearing state analysis platform based on the air flow identification, the technical problem that the detection mechanism for detecting whether the sports personnel on the trampoline bed wear the anti-skid socks is lack in the prior art is solved, the field detection can be performed on whether the sports personnel on the trampoline bed wear the anti-skid socks with the set anti-skid textures on the basis of the targeted intelligent detection mechanism, and more importantly, the monitoring trigger mechanism based on the air flow change around the trampoline bed is introduced, so that the pertinence and the effectiveness of the wearing state monitoring are improved.
Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art will appreciate that various modifications and substitutions can be made thereto without departing from the spirit and scope of the present invention as set forth in the appended claims.
Claims (9)
1. A wearable state analysis platform based on airflow identification, the platform comprising:
the air flow identification mechanism is arranged near the trampoline bed body and used for detecting the air flow change amplitude near the trampoline bed body;
the data extraction mechanism is connected with the airflow identification mechanism and is used for sending a first control command when the detected airflow variation amplitude exceeds the limit;
the gun type capturing mechanism is arranged on the side surface of the trampoline bed body, is electrically connected with the data extracting mechanism, and is used for executing real-time image capturing action on the environment where the trampoline bed body is located from the side surface when the first control command is received so as to obtain real-time captured data;
the targeted mapping equipment is connected with the gun type capturing mechanism and is used for executing image content enhancement operation of applying singular value decomposition on the received real-time captured data to obtain a corresponding targeted mapping image;
the real-time sharpening device is connected with the targeted mapping device and is used for carrying out edge sharpening operation on the received targeted mapping image so as to obtain a corresponding real-time sharpened image;
the first identification mechanism is connected with the real-time sharpening equipment and used for identifying each human body imaging area in the real-time sharpened image;
the second identification mechanism is connected with the first identification mechanism and used for executing the following operations on each human body imaging area: detecting a foot imaging sub-area in the human body imaging area, identifying a texture imaging part matched with the sock body texture of the anti-skid sock in the foot imaging sub-area, and judging that the corresponding human body imaging area is a human body imaging area where a reliable human body object is worn when the number of pixel points occupied by the texture imaging part exceeds a limit;
wherein, detect foot formation of image subregion in the human imaging region to discern the texture imaging part that matches with the socks body texture of anti-skidding socks in the foot imaging subregion, and when the quantity of the pixel that texture imaging part occupied exceeded the limit, judge that the human imaging region that corresponds is the reliable human object of dress and locate the human imaging region and include: when the number of the foot imaging sub-areas detected by the human body imaging area is two, the texture imaging part matched with the sock body texture of the anti-slip sock is identified in each foot imaging sub-area, and when the number of pixel points occupied by the texture imaging part exceeds the limit, the corresponding human body imaging area is judged to be the human body imaging area where a reliable human body object is worn.
2. The airflow identification-based wearing state analysis platform of claim 1, wherein:
and in the second identification mechanism, detecting a foot imaging sub-area in the human body imaging area, and judging that the corresponding human body imaging area is the human body imaging area where the mismatched human body object is worn when a texture imaging part matched with the sock body texture of the anti-skid sock is not identified in the foot imaging sub-area or the number of pixels occupied by the identified texture imaging part matched with the sock body texture of the anti-skid sock exceeds the limit.
3. The airflow identification-based wearing state analysis platform of claim 2, wherein:
detecting a foot imaging sub-region in the human body imaging region, and when a texture imaging part matched with the sock body texture of the anti-slip sock is not identified in the foot imaging sub-region, or the number of pixel points occupied by the identified texture imaging part matched with the sock body texture of the anti-slip sock exceeds a limit, judging that the corresponding human body imaging region is a human body imaging region where a mismatched human body object is worn, wherein the human body imaging region comprises: when the number of the foot imaging sub-areas detected by the human body imaging area is two, the texture imaging part matched with the sock body texture of the anti-slip socks is not identified in each foot imaging sub-area, or the number of the pixel points occupied by the identified texture imaging part matched with the sock body texture of the anti-slip socks is over the limit, and the corresponding human body imaging area is judged to be the human body imaging area where the mismatched human body object is worn.
4. The airflow identification-based wearing state analysis platform of claim 1, wherein:
the data extraction mechanism is further used for sending out a second control command when the detected air flow change amplitude does not exceed the limit.
5. The airflow identification-based wearing state analysis platform of claim 4, wherein:
the gun type capturing mechanism is further used for stopping executing the real-time image capturing action on the environment where the trampoline bed body is located when the second control command is received.
6. The airflow identification based wearing state analysis platform of claim 1, further comprising:
and the photoelectric alarm mechanism is connected with the second identification mechanism and is used for executing corresponding photoelectric alarm operation when more than one reliable human body object is worn in the real-time sharpened image.
7. The airflow identification-based wearing state analysis platform of claim 1, wherein:
identifying each human imaging region in the real-time sharpened image comprises: and identifying each human body imaging area in the real-time sharpened image based on the human body gray scale imaging characteristics.
8. The airflow identification-based wearing state analysis platform of claim 6, wherein:
the photoelectric alarm mechanism is also used for stopping executing corresponding photoelectric alarm operation when more than one reliable human body object does not exist in the real-time sharpened image.
9. A wearing state analysis method based on air flow identification, the method comprising using the wearing state analysis platform based on air flow identification according to any one of claims 1-8 to trigger a field analysis of whether a human body on a trampoline bed wears the anti-slip sock body according to a state of air flow change around the trampoline bed.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111080462.5A CN114558273A (en) | 2021-09-15 | 2021-09-15 | Wearing state analysis platform based on air current is discerned |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111080462.5A CN114558273A (en) | 2021-09-15 | 2021-09-15 | Wearing state analysis platform based on air current is discerned |
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| US20060137224A1 (en) * | 2003-06-27 | 2006-06-29 | Dong-Suk Song | Foot protection device for a fight |
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| US20120077642A1 (en) * | 2010-09-29 | 2012-03-29 | Samuel Chen | Balloon inflating trampoline |
| CN106942801A (en) * | 2017-05-04 | 2017-07-14 | 海宁汉德袜业有限公司 | Trampoline socks |
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| WO2019002467A1 (en) * | 2017-06-28 | 2019-01-03 | Liiteguard Aps | A knitted protective sock |
| CN209900535U (en) * | 2019-03-25 | 2020-01-07 | 小飞侠游乐设备集团有限公司 | Safe trampoline |
| CN210184541U (en) * | 2019-06-11 | 2020-03-27 | 浙江众昇游乐设备有限公司 | Children trampoline is with ankle guard socks |
| CN111514540A (en) * | 2019-02-02 | 2020-08-11 | 广州艾美网络科技有限公司 | Body training equipment |
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2021
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|---|---|---|---|---|
| US4204719A (en) * | 1977-10-17 | 1980-05-27 | Murphy Raymond J | Bearing and support |
| US20040163280A1 (en) * | 2003-02-24 | 2004-08-26 | Kwame Morris | Foot cushioning construct and system for use in an article of footwear |
| US20060137224A1 (en) * | 2003-06-27 | 2006-06-29 | Dong-Suk Song | Foot protection device for a fight |
| DE102006009906A1 (en) * | 2006-03-03 | 2007-09-13 | Weiss, Wilfried | Work communicating fitness equipment frame enables use of hands and provides mental activity as well as leg and foot movement while reclining |
| US20120077642A1 (en) * | 2010-09-29 | 2012-03-29 | Samuel Chen | Balloon inflating trampoline |
| CN106942801A (en) * | 2017-05-04 | 2017-07-14 | 海宁汉德袜业有限公司 | Trampoline socks |
| WO2019002467A1 (en) * | 2017-06-28 | 2019-01-03 | Liiteguard Aps | A knitted protective sock |
| CN108057204A (en) * | 2017-12-25 | 2018-05-22 | 李文娟 | A kind of trampoline tent |
| CN108283793A (en) * | 2018-03-10 | 2018-07-17 | 杭州虚现科技有限公司 | A kind of Omni-mobile platform and the method that double-legged information is accurately tracked based on this platform |
| CN111514540A (en) * | 2019-02-02 | 2020-08-11 | 广州艾美网络科技有限公司 | Body training equipment |
| CN209900535U (en) * | 2019-03-25 | 2020-01-07 | 小飞侠游乐设备集团有限公司 | Safe trampoline |
| CN210184541U (en) * | 2019-06-11 | 2020-03-27 | 浙江众昇游乐设备有限公司 | Children trampoline is with ankle guard socks |
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