CN108339257B - Comprehensive training device for body movement - Google Patents
Comprehensive training device for body movement Download PDFInfo
- Publication number
- CN108339257B CN108339257B CN201810178917.9A CN201810178917A CN108339257B CN 108339257 B CN108339257 B CN 108339257B CN 201810178917 A CN201810178917 A CN 201810178917A CN 108339257 B CN108339257 B CN 108339257B
- Authority
- CN
- China
- Prior art keywords
- action
- training
- standard
- parameters
- group
- 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.)
- Active
Links
Images
Classifications
-
- 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
-
- 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
- A63B2071/0647—Visualisation of executed movements
-
- 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
- A63B2071/065—Visualisation of specific exercise parameters
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/05—Image processing for measuring physical parameters
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/80—Special sensors, transducers or devices therefor
- A63B2220/806—Video cameras
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2230/00—Measuring physiological parameters of the user
- A63B2230/62—Measuring physiological parameters of the user posture
Abstract
The invention relates to a body and action comprehensive training device, which comprises a camera, an action analysis unit, a storage unit and a prompt unit, wherein the current training action is captured based on the camera, the training action is analyzed by the action analysis unit to obtain corresponding action parameters, deviation information is obtained by comparing the corresponding action parameters with matched standard action parameters stored in the storage unit, when the deviation information is greater than a first preset threshold value, the prompt unit prompts a user that the current action has deviation and prompts how to correct the deviation, an intelligent feedback process of the current training action of a trainer is realized, the user gradually adjusts the training action to be close to the standard action based on the intelligent feedback process, the training efficiency is improved, the training time is shortened, and the training quality is ensured.
Description
Technical Field
The invention belongs to the field of action training, and particularly relates to a comprehensive body action training device.
Background
Physical training, which is a stimulation of the body from the external environment, has the characteristics of continuity, coordination, speed and strength, and makes the body in a motion state, and in this state, the central nerve can mobilize each organ and system at any time to coordinate and coordinate the body. The nerve activity can be improved correspondingly by taking part in physical training frequently. In addition, physical training requires rapid and accurate movements under the command of the brain. During physical training, the brain, spinal cord and peripheral nerves need to establish rapid and accurate response type responses, and the brain needs to correct the wrong actions at any time and store the information of fine actions.
In the body movement training process, usually, other people or trainers find errors or non-normations of movements and correct the errors in time, however, on one hand, the trainers or other people cannot guarantee to find the errors in real time; on the other hand, the trainer cannot know the deviation degree of the current action, and often needs to adjust for multiple times to gradually approach the standard action, so that the trainer needs to consume more physical strength and spend longer time to complete the training process.
Disclosure of Invention
In summary, in order to solve the technical problem that the user cannot find the error in the body training process in time and cannot know the accurate deviation degree to perform purposeful adjustment, the invention provides a body movement comprehensive training device, which comprises a camera, a movement analysis unit, a storage unit and a prompt unit,
specifically, the camera is used for capturing a current training action of a trainer, generating a first group of action images and transmitting the first group of action images to an action analysis unit;
the action analysis unit is used for analyzing the received first group of action images to generate a first group of training action parameters, and the first group of training action parameters are used for reflecting the completion condition of the current training action;
the action analysis unit sends the first group of training action parameters to the storage unit, the storage unit comprises a standard action parameter library, a plurality of groups of standard action parameters and corresponding standard action images are stored in the standard action parameter library, each group of standard action parameters comprises a certain number of action parameters, one or more suspected matching standard action parameter groups with the number equal to that of the parameters in the first group of training action parameters are screened out from the standard action parameter library, and then a first standard action parameter group matched with the current training action is searched in the one or more suspected matching standard action parameter groups;
the storage unit comprises a judging module, the judging module compares the first standard action parameter group with the first group of training action parameters, first deviation information is obtained through calculation, and if the first deviation information is larger than a first preset threshold value, the first deviation information is sent to the prompting unit; if the first deviation information is smaller than or equal to the first preset threshold value, quitting;
the prompting unit prompts that the current action of the user has deviation based on the first deviation information and prompts how to correct the current action.
Further, the camera captures the training action corrected by the trainer according to the prompt, generates a corrected action image, transmits the corrected action image to the action analysis unit, and the action analysis unit performs sub-action analysis on the received corrected action image, analyzes the sub-action image to generate corrected training parameters, and transmits the corrected training parameters to the storage unit;
the storage unit comprises a feedback module, the feedback module receives the corrected training parameters, compares the corrected training parameters with the first standard action parameter group and generates second deviation information, if the second deviation information is larger than the first preset threshold value, feedback prompt information is generated based on the second deviation information, and the feedback module sends the feedback prompt information to the prompt unit and is used for feeding back the corrected action of the trainer in real time; and if the second deviation information is less than or equal to the first preset threshold value, exiting.
Further, the prompting unit prompts that the current action of the user has deviation based on the first deviation information, and prompting how to correct the current action includes:
the prompt unit comprises a voice module and a display module, the voice module plays the first deviation information, and the display module displays the standard action image.
Further, the camera captures a standard training action of a trainer, the action analysis unit generates corresponding standard action parameters and standard action images based on the standard training action, and sends the corresponding standard action parameters and standard action images to the standard action parameter library for storage; or, the standard action parameter library includes a communication module, the plurality of sets of standard action parameters stored in the standard action parameter library are manually set by a user, and the corresponding standard action images are transmitted to the communication module by an external terminal device.
The invention is based on the provided comprehensive body and motion training device, and solves the technical problems that in the prior art, a trainer cannot find motion errors in time and cannot know the deviation degree of the current motion, so that the training process is complex and the time consumption is long. The invention captures the current training action based on the camera, analyzes the training action through the action analysis unit to obtain corresponding action parameters, obtains deviation information through comparing the deviation information with the matched standard action parameters stored in the storage unit, prompts the user that the current action has deviation by the prompting unit when the deviation information is larger than a first preset threshold value, and prompts how to correct, thereby realizing the intelligent feedback process of the current training action of the trainer, gradually adjusting the training action by the user to be close to the standard action based on the intelligent feedback process, improving the training efficiency, shortening the training time and ensuring the training quality.
Drawings
FIG. 1 is a schematic view of the operation process of the body movement comprehensive training device of the present invention
FIG. 2 is a flow chart of the operation of feedback adjustment of the trainer based on the comprehensive training device for physical and physical actions of the invention
Detailed Description
The embodiments are described in detail below with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of a working process of the comprehensive physical movement training device of the present invention, wherein the comprehensive physical movement training device includes a camera 10, a movement analysis unit 11, a storage unit 12, and a prompt unit 13, specifically, the camera 10 is used to capture a current training movement of a trainer, generate a first set of movement images, and transmit the first set of movement images to the movement analysis unit 11, that is, step S01 in fig. 2;
the motion analysis unit 11 is configured to perform sub-motion analysis on the received first group of motion images, and generate a first group of training motion parameters through analysis, where the first group of training motion parameters is used to reflect a completion condition of the current training motion, that is, step S02 in fig. 2.
The action analyzing unit 11 sends the first set of training action parameters to the storage unit 12, the storage unit 12 includes a standard action parameter library 122, the standard action parameter library 122 stores a plurality of sets of standard action parameters and corresponding standard action images, each set of standard action parameters includes a certain number of action parameters, one or more suspected matching standard action parameter sets equal to the number of the parameters in the first set of training action parameters are screened out from the standard action parameter library 122, and then a first standard action parameter set matching the current training action is searched in the one or more suspected matching standard action parameter sets, that is, step S03 in fig. 2.
The storage unit 12 includes a determining module 120, where the determining module 120 compares the first standard motion parameter set with the first training motion parameter set, and calculates to obtain first deviation information, as in the determining step of step S04 in fig. 2, and sends the first deviation information to the prompting unit 13 if the first deviation information is greater than a first preset threshold; if the first deviation information is less than or equal to the first preset threshold, step S06 is executed to end the process and exit.
As the correction process of step S05 in fig. 2, the presentation unit 13 presents the user with a deviation of the current action based on the first deviation information, and presents how to perform the correction.
Specifically, based on the flowchart shown in fig. 2, the motion of the trainer is adjusted by feedback cyclically, the camera 10 performs step S01 again, that is, captures the training motion corrected by the trainer according to the prompt, generates a corrected motion image, and transmits the corrected motion image to the motion analysis unit 11, and the motion analysis unit 11 performs step S02 cyclically, and is configured to perform sub-motion analysis on the received corrected motion image, analyze the received corrected motion image to generate corrected training parameters, and transmit the corrected training parameters to the storage unit 12.
The storage unit 12 includes a feedback module 121, where the feedback module 121 receives the corrected training parameters, compares the corrected training parameters with the first standard motion parameter set, generates second deviation information, and executes step S04 in a loop, that is, if the second deviation information is greater than a first preset threshold, executes step S05 in a loop, that is, generates feedback prompt information based on the second deviation information, and the feedback module 121 sends the feedback prompt information to the prompt unit 13, so as to perform real-time feedback on the corrective motions of the trainer; if the second deviation information is less than or equal to the first preset threshold, step S06 is executed, and the process ends and exits.
In a specific embodiment, the prompting unit 13 prompts that the current action of the user has a deviation based on the first deviation information, and prompting how to correct the current action includes: the prompt unit 13 includes a voice module and a display module, the voice module plays the first deviation information, and the display module displays the standard action image.
In a specific embodiment, the camera 10 captures a standard training action of the trainer, and the action analysis unit 11 generates corresponding standard action parameters and standard action images based on the standard training action, and sends the corresponding standard action parameters and standard action images to the standard action parameter library 122 for storage; or, the standard action parameter library 122 includes a communication module, a plurality of sets of standard action parameters stored in the standard action parameter library 122 are manually set by a user, and a corresponding standard action image is transmitted to the communication module by an external terminal device.
The above embodiments are only preferred embodiments 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 also within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (1)
1. A comprehensive body and motion training device is characterized by comprising a camera, a motion analysis unit, a storage unit and a prompt unit, wherein the camera is used for capturing the current training motion of a trainer, generating a first group of motion images and transmitting the first group of motion images to the motion analysis unit;
the action analysis unit is used for analyzing the received first group of action images to generate a first group of training action parameters, and the first group of training action parameters are used for reflecting the completion condition of the current training action;
the action analysis unit sends the first group of training action parameters to the storage unit, the storage unit comprises a standard action parameter library, a plurality of groups of standard action parameters and corresponding standard action images are stored in the standard action parameter library, each group of standard action parameters comprises a certain number of action parameters, one or more suspected matching standard action parameter groups with the number equal to that of the parameters in the first group of training action parameters are screened out from the standard action parameter library, and then a first standard action parameter group matched with the current training action is searched in the one or more suspected matching standard action parameter groups;
the storage unit comprises a judging module, the judging module compares the first standard action parameter group with the first group of training action parameters, first deviation information is obtained through calculation, and if the first deviation information is larger than a first preset threshold value, the first deviation information is sent to the prompting unit; if the first deviation information is smaller than or equal to the first preset threshold value, quitting;
the prompting unit prompts a user that the current action has deviation based on the first deviation information and prompts how to correct the current action; the body and motion comprehensive training device circularly corrects the user motion based on the camera, the motion analysis unit, the storage unit and the prompt unit, and exits from the circulation until the first deviation information is less than or equal to the first preset threshold; the prompting unit prompts that the current action of the user has deviation based on the first deviation information, and prompts how to correct the deviation comprises the following steps: the prompt unit comprises a voice module and a display module, the voice module plays the first deviation information, and the display module displays the standard action image;
the camera captures a standard training action of a trainer, the action analysis unit generates corresponding standard action parameters and standard action images based on the standard training action, and sends the corresponding standard action parameters and standard action images to the standard action parameter library for storage; or, the standard action parameter library includes a communication module, the plurality of sets of standard action parameters stored in the standard action parameter library are manually set by a user, and the corresponding standard action images are transmitted to the communication module by an external terminal device.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011060532.6A CN112169297A (en) | 2018-03-05 | 2018-03-05 | Working method of body movement comprehensive training device |
| CN201810178917.9A CN108339257B (en) | 2018-03-05 | 2018-03-05 | Comprehensive training device for body movement |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810178917.9A CN108339257B (en) | 2018-03-05 | 2018-03-05 | Comprehensive training device for body movement |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011060532.6A Division CN112169297A (en) | 2018-03-05 | 2018-03-05 | Working method of body movement comprehensive training device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108339257A CN108339257A (en) | 2018-07-31 |
| CN108339257B true CN108339257B (en) | 2021-04-13 |
Family
ID=62959142
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011060532.6A Pending CN112169297A (en) | 2018-03-05 | 2018-03-05 | Working method of body movement comprehensive training device |
| CN201810178917.9A Active CN108339257B (en) | 2018-03-05 | 2018-03-05 | Comprehensive training device for body movement |
Family Applications Before (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011060532.6A Pending CN112169297A (en) | 2018-03-05 | 2018-03-05 | Working method of body movement comprehensive training device |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN112169297A (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110052013A (en) * | 2019-05-28 | 2019-07-26 | 上海应用技术大学 | A kind of instant auxiliary system of body-building |
| CN111790103B (en) * | 2020-06-10 | 2021-09-28 | 湖南工商大学 | Aerobics exercises shape training correction device and correction method |
| CN111860311A (en) * | 2020-07-20 | 2020-10-30 | 南京智金科技创新服务中心 | Method and system for prompting abnormal posture of human body |
| CN112245892A (en) * | 2020-09-25 | 2021-01-22 | 北京汇洋时代科技有限公司 | System for testing movement by using 3D camera |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8123624B2 (en) * | 2005-03-03 | 2012-02-28 | Theodore Weissenburger Caldwell | Shot Monitoring Watch |
| CN202387167U (en) * | 2011-12-06 | 2012-08-22 | 北京市莱科智多教育科技有限公司 | Fine movement training system |
| CN106861167A (en) * | 2017-03-08 | 2017-06-20 | 深圳国微技术有限公司 | A kind of body antidote and body correcting device |
| CN107243141A (en) * | 2017-05-05 | 2017-10-13 | 北京工业大学 | A kind of action auxiliary training system based on motion identification |
Family Cites Families (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050223799A1 (en) * | 2004-03-31 | 2005-10-13 | Brian Murphy | System and method for motion capture and analysis |
| AU2014271318B2 (en) * | 2006-12-04 | 2017-03-02 | Isolynx, Llc | Autonomous systems and methods for still and moving picture production |
| CN102397680A (en) * | 2011-12-06 | 2012-04-04 | 北京市莱科智多教育科技有限公司 | System and method for training fine movement |
| CN103390174A (en) * | 2012-05-07 | 2013-11-13 | 深圳泰山在线科技有限公司 | Physical education assisting system and method based on human body posture recognition |
| CN104667510B (en) * | 2015-02-09 | 2017-02-01 | 深圳泰山体育科技股份有限公司 | Human motion test system |
| CN105373810B (en) * | 2015-11-12 | 2020-01-17 | 清华大学 | Method and system for establishing motion recognition model |
| CN105791698A (en) * | 2016-04-22 | 2016-07-20 | 周口职业技术学院 | System and method of determining dance training |
| CN205586507U (en) * | 2016-05-09 | 2016-09-21 | 哈尔滨师范大学 | Taijiquan training device |
| CN106125909A (en) * | 2016-06-14 | 2016-11-16 | 上海锡月科技有限公司 | A kind of motion capture system for training |
| CN106599853B (en) * | 2016-12-16 | 2019-12-13 | 北京奇虎科技有限公司 | Method and equipment for correcting body posture in remote teaching process |
| CN106621284B (en) * | 2016-12-28 | 2018-08-17 | 湖南科技大学 | A kind of intelligent physical examinations platform |
| CN106902496A (en) * | 2017-03-17 | 2017-06-30 | 卢曼斯 | Correcting system and method are monitored in a kind of human motion |
-
2018
- 2018-03-05 CN CN202011060532.6A patent/CN112169297A/en active Pending
- 2018-03-05 CN CN201810178917.9A patent/CN108339257B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8123624B2 (en) * | 2005-03-03 | 2012-02-28 | Theodore Weissenburger Caldwell | Shot Monitoring Watch |
| CN202387167U (en) * | 2011-12-06 | 2012-08-22 | 北京市莱科智多教育科技有限公司 | Fine movement training system |
| CN106861167A (en) * | 2017-03-08 | 2017-06-20 | 深圳国微技术有限公司 | A kind of body antidote and body correcting device |
| CN107243141A (en) * | 2017-05-05 | 2017-10-13 | 北京工业大学 | A kind of action auxiliary training system based on motion identification |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108339257A (en) | 2018-07-31 |
| CN112169297A (en) | 2021-01-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108339257B (en) | Comprehensive training device for body movement | |
| US11042217B2 (en) | Calibration method and apparatus, terminal equipment and storage medium | |
| US10891873B2 (en) | Method and apparatus for monitoring learning and electronic device | |
| US11061479B2 (en) | Method, device and readable storage medium for processing control instruction based on gesture recognition | |
| CN109271020B (en) | Eye tracking-based steady-state vision-evoked brain-computer interface performance evaluation method | |
| CN110693191A (en) | Height-adjustable intelligent table and height adjusting method thereof | |
| US10606351B2 (en) | Information processing apparatus, information processing method, and computer readable recording medium | |
| CN114979483B (en) | Digital camera-based focus tracking method | |
| JP2020048827A (en) | Information processing device, support method, and support system | |
| KR102369152B1 (en) | Realtime Pose recognition system using artificial intelligence and recognition method | |
| CN110267112B (en) | Teaching video display method and device, terminal equipment, server and storage medium | |
| US20210357637A1 (en) | Method and Apparatus for Controlling Image Acquisition Device | |
| JP2022523354A (en) | EMG control systems and methods for instructing extracorporeal prosthesis users | |
| US20160267801A1 (en) | Image display method and apparatus | |
| CN109977240A (en) | A kind of control method of mirror, device, system and mirror | |
| CN115591077A (en) | Self-control force training method, device, equipment and storage medium | |
| CN114339149A (en) | Electronic device and learning supervision method | |
| KR20140115120A (en) | Home-based Rehabilitation Apparatus and Method for Patients | |
| JP7062608B2 (en) | Bitrate optimization system and method | |
| CN114399833A (en) | Interaction method and system suitable for intelligent fitness mirror | |
| CN112839162B (en) | Method, device, terminal and storage medium for adjusting eye display position | |
| CN111610886A (en) | Method and device for adjusting brightness of touch screen and computer readable storage medium | |
| CN112653912A (en) | Electronic device and control method thereof | |
| US9918662B2 (en) | Measuring cervical spine posture using nostril tracking | |
| CA2931457C (en) | Measuring cervical spine posture using nostril tracking |
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 | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20200930 Address after: 233002 east area, No.2 factory building, no.965, Changzheng North Road, Huaishang District, Bengbu City, Anhui Province Applicant after: Bengbu Zhuling Intelligent Technology Co.,Ltd. Address before: 241000 Building 3, Building 4, Phase II, Service Outsourcing Industrial Park, Yijiang District, Wuhu City, Anhui Province Applicant before: ANHUI CHUANZHI INFORMATION TECHNOLOGY Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20210324 Address after: 537100 second floor, No.4, Fuji new town, Guicheng Town, Gangbei District, Guigang City, Guangxi Zhuang Autonomous Region Applicant after: GUIGANG RUICHENG TECHNOLOGY Co.,Ltd. Address before: 233002 east area of No.2 factory building, no.965 Changzheng North Road, Huaishang District, Bengbu City, Anhui Province Applicant before: Bengbu Zhuling Intelligent Technology Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20211014 Address after: 271000 high end talent entrepreneurship base in the middle of Nantianmen street, Tai'an high tech Zone, Tai'an City, Shandong Province Patentee after: Taian Zhongquan Information Technology Co.,Ltd. Address before: 537100 second floor, No.4, Fuji new town, Guicheng Town, Gangbei District, Guigang City, Guangxi Zhuang Autonomous Region Patentee before: GUIGANG RUICHENG TECHNOLOGY Co.,Ltd. Effective date of registration: 20211014 Address after: 271000 room A404, management committee office building, No. 616, Changcheng Road, hi tech Zone, Tai'an City, Shandong Province Patentee after: Taian High Tech Education Service Co.,Ltd. Address before: 271000 high end talent entrepreneurship base in the middle of Nantianmen street, Tai'an high tech Zone, Tai'an City, Shandong Province Patentee before: Taian Zhongquan Information Technology Co.,Ltd. |
|
| TR01 | Transfer of patent right |