CN106964117A - A kind of artificial intelligence learning training method based on feedback - Google Patents
A kind of artificial intelligence learning training method based on feedback Download PDFInfo
- Publication number
- CN106964117A CN106964117A CN201710319942.XA CN201710319942A CN106964117A CN 106964117 A CN106964117 A CN 106964117A CN 201710319942 A CN201710319942 A CN 201710319942A CN 106964117 A CN106964117 A CN 106964117A
- Authority
- CN
- China
- Prior art keywords
- student
- feedback
- coach
- artificial intelligence
- method based
- 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.)
- Pending
Links
Classifications
-
- 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
- A63B24/0062—Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
-
- 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
- A63B71/0605—Decision makers and devices using detection means facilitating arbitration
-
- 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
- A63B71/0622—Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B19/00—Teaching not covered by other main groups of this subclass
- G09B19/003—Repetitive work cycles; Sequence of movements
- G09B19/0038—Sports
-
- 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
- A63B2024/0009—Computerised real time comparison with previous movements or motion sequences of the user
-
- 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
- A63B71/0622—Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
- A63B2071/0625—Emitting sound, noise or music
- A63B2071/063—Spoken or verbal instructions
-
- 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
- A63B2220/83—Special sensors, transducers or devices therefor characterised by the position of the sensor
- A63B2220/836—Sensors arranged on the body of the user
-
- 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
Landscapes
- General Health & Medical Sciences (AREA)
- Physical Education & Sports Medicine (AREA)
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- Educational Technology (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Multimedia (AREA)
- Human Computer Interaction (AREA)
- Electrically Operated Instructional Devices (AREA)
Abstract
The invention discloses a kind of artificial intelligence learning training method based on feedback, it is specially：1) student uses electronic sensor and the method based on neural network learning, under the standard exercise action record in the one-to-one study of coach, student by student；2) in the follow-up training of student, electronic sensor by follow-up training action with 1) in the standard operation recorded contrasted, so as to identify whether follow-up training action correct；3) after contrasting, correctly whether coach acted by controller indication feedback student in motion process, and informs student；4) student coach directed for several times after, by electronic sensor record correct motion mode and mistake motion mode.The artificial intelligence learning training method based on feedback that the present invention is provided, partly instead of the directive function of coach.Student can be allowed when not having coach directed, whether equally acquisition action correctly feeds back.Efficiency of teaching is improved, student's learning cost is reduced.
Description
Technical field
The present invention relates to a kind of training method, more particularly to a kind of artificial intelligence learning training method based on feedback.
Background technology
In traditional motion teaching, coach is given to student's motion instruction, and student, which needs voluntarily to be trained in the later stage, to come
Strengthen muscle memory.In traditional teaching, how to accomplish that accurately action commonly relies on the guidance of coach.But coach can not when
Student periphery is engraved in, therefore, conventional motion teaching to be used man-to-man mode to carry out, and efficiency of teaching is relatively low.
The content of the invention
The present invention is to provide a kind of artificial intelligence based on feedback to solve the technical scheme that above-mentioned technical problem is used
Learning training method, wherein, it is specially：
1) student uses electronic sensor and the method based on neural network learning, in coach, the one-to-one study of student
When the standard exercise action record of student is got off；
2) in the follow-up training of student, electronic sensor by follow-up training action and 1) in the standard operation recorded
Contrasted, so as to identify whether follow-up training action is correct；
3) after contrasting, correctly whether coach acted by controller indication feedback student in motion process, and informs
Member；
4) student coach directed for several times after, by electronic sensor record correct motion mode and mistake motion
Mode.
The above-mentioned artificial intelligence learning training method based on feedback, wherein：The electronic sensor that student uses is can wear
Intelligence sensor is worn, wearable intelligence sensor is adhered to or be bundled in body part by student, and body part includes being not limited to hand
Wrist, arm, leg, waist.
The above-mentioned artificial intelligence learning training method based on feedback, wherein：Drillmaster control device is acted in student
When, by including but is not limited to act in voice, button indication feedback motion process whether correctly, and by including being not limited to indigo plant
Tooth, wifi, infrared, audio inform student.
The present invention has the advantages that relative to prior art：The artificial intelligence based on feedback that the present invention is provided
Learning and training method, partly instead of the directive function of coach, can allow student when not having coach directed, equally be acted
Whether correctly feed back, improve efficiency of teaching, reduce student's learning cost.
Brief description of the drawings
Fig. 1 is the system schematic of the artificial intelligence learning training method based on feedback.
Embodiment
The artificial intelligence learning training method based on feedback that the present invention is provided, it is adaptable to artificial intelligence learning training.
This method uses electronic sensor and the method based on neural network learning, be able to will be learned in one-to-one study
The action record of member is got off, and is compared in the action below, so as to identify whether action is correct.
This training method part replaces the directive function of coach, and student can be allowed equally to be obtained when no coach directed
It must act and whether correctly feed back, improve efficiency of teaching, reduce student's learning cost.
Two equipment are needed in this method, equipment 1 is wearable intelligence sensor, and equipment 2 is coach's controller.Use
When, the wearable intelligence sensor of equipment 1 will adhere to or be bundled in student's body part (including be not limited to wrist, arm, leg,
Waist) normally acted by coach's requirement；Coach when student acts, passes through finger using equipment 2 (drillmaster control device)
Show acted in feedback (including being not limited to voice, button) motion process it is whether correct, and inform (including be not limited to bluetooth, wifi,
Infrared, audio) equipment 1 (wearable intelligence sensor) and student.Student is after the guidance several times of coach, (the wearable intelligence of equipment 1
Can sensor) it can record the motion mode of correct motion mode and mistake, equipment 1 (wearable intelligence sensor) will be
When student moves, whether automatic decision action is correct, and pointed out in real time, and afterwards, student (be able to can wear in equipment 1
Wear intelligence sensor) with the help of moved, the on-the-spot guidance without coach.
The invention provides a kind of artificial intelligence learning training method based on feedback, principle is：In training process, equipment
1 by the movement locus of automatic record student, and its motion recording is got off by neutral net；Equipment 2 will notify equipment 1 to record
The movement locus of student；Equipment 2 has the function of error message annunciator 1, judges its movement locus more accurate.
Claims (3)
1. a kind of artificial intelligence learning training method based on feedback, it is characterised in that：
1) student uses electronic sensor and the method based on neural network learning, will in the one-to-one study of coach, student
The standard exercise action record of student is got off；
2) in the follow-up training of student, electronic sensor by follow-up training action and 1) in the standard operation recorded carry out
Contrast, so as to identify whether follow-up training action is correct；
3) after contrasting, correctly whether coach acted by controller indication feedback student in motion process, and informs student；
4) student coach directed for several times after, by electronic sensor record correct motion mode and mistake motion side
Formula.
2. the artificial intelligence learning training method as claimed in claim 1 based on feedback, it is characterised in that：The electricity that student uses
Sub- sensor is wearable intelligence sensor, and wearable intelligence sensor is adhered to or be bundled in body part, body by student
Position includes being not limited to wrist, arm, leg, waist.
3. the artificial intelligence learning training method as claimed in claim 2 based on feedback, it is characterised in that：Drillmaster control device exists
When student acts, by including but is not limited to whether correctly to act in voice, button indication feedback motion process, and lead to
Cross and inform student including being not limited to bluetooth, wifi, infrared, audio.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710319942.XA CN106964117A (en) | 2017-05-09 | 2017-05-09 | A kind of artificial intelligence learning training method based on feedback |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710319942.XA CN106964117A (en) | 2017-05-09 | 2017-05-09 | A kind of artificial intelligence learning training method based on feedback |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106964117A true CN106964117A (en) | 2017-07-21 |
Family
ID=59331545
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710319942.XA Pending CN106964117A (en) | 2017-05-09 | 2017-05-09 | A kind of artificial intelligence learning training method based on feedback |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106964117A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108230804A (en) * | 2017-12-25 | 2018-06-29 | 郑玉宣 | A kind of virtual reality mine emergency rehearsal and operative skill Training Methodology and system |
| CN112446433A (en) * | 2020-11-30 | 2021-03-05 | 北京数码视讯技术有限公司 | Method and device for determining accuracy of training posture and electronic equipment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS62159206A (en) * | 1986-01-08 | 1987-07-15 | Bridgestone Corp | Positioning method for spherical matter |
| EP2227703A2 (en) * | 2007-12-21 | 2010-09-15 | amedo smart tracking solutions GmbH | Method for detecting motion |
| CN105126311A (en) * | 2015-10-12 | 2015-12-09 | 吉林大学 | Lower limb training assisting and positioning system |
| CN105446362A (en) * | 2015-12-07 | 2016-03-30 | 陆宁远 | Posture detection adjusting device and method based on assistance of computer science |
| CN106422208A (en) * | 2016-10-12 | 2017-02-22 | 广东小天才科技有限公司 | Body-building guide method and device based on intelligent wearable device |
| CN206979968U (en) * | 2017-05-09 | 2018-02-09 | 上海智位机器人股份有限公司 | A kind of artificial intelligence learning training system based on feedback |
-
2017
- 2017-05-09 CN CN201710319942.XA patent/CN106964117A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS62159206A (en) * | 1986-01-08 | 1987-07-15 | Bridgestone Corp | Positioning method for spherical matter |
| EP2227703A2 (en) * | 2007-12-21 | 2010-09-15 | amedo smart tracking solutions GmbH | Method for detecting motion |
| CN101971052A (en) * | 2007-12-21 | 2011-02-09 | 阿梅多智能追踪解决方案有限公司 | Method for detecting motion |
| CN105126311A (en) * | 2015-10-12 | 2015-12-09 | 吉林大学 | Lower limb training assisting and positioning system |
| CN105446362A (en) * | 2015-12-07 | 2016-03-30 | 陆宁远 | Posture detection adjusting device and method based on assistance of computer science |
| CN106422208A (en) * | 2016-10-12 | 2017-02-22 | 广东小天才科技有限公司 | Body-building guide method and device based on intelligent wearable device |
| CN206979968U (en) * | 2017-05-09 | 2018-02-09 | 上海智位机器人股份有限公司 | A kind of artificial intelligence learning training system based on feedback |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108230804A (en) * | 2017-12-25 | 2018-06-29 | 郑玉宣 | A kind of virtual reality mine emergency rehearsal and operative skill Training Methodology and system |
| CN112446433A (en) * | 2020-11-30 | 2021-03-05 | 北京数码视讯技术有限公司 | Method and device for determining accuracy of training posture and electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Yang et al. | Interface design of a physical human–robot interaction system for human impedance adaptive skill transfer | |
| CN109590986B (en) | Robot teaching method, intelligent robot and storage medium | |
| US20170348858A1 (en) | Multiaxial motion control device and method, in particular control device and method for a robot arm | |
| WO2011028325A3 (en) | Processing motion sensor data using accessible templates | |
| CN107053902B (en) | A kind of auxiliary lettering pen | |
| Kim et al. | Smart stretchable electronics for advanced human–machine interface | |
| CN103794106B (en) | Instrument playing assisted teaching system | |
| CN104134060A (en) | Sign language interpreting, displaying and sound producing system based on electromyographic signals and motion sensors | |
| WO2005074371A3 (en) | Methods and apparatus for rehabilitation and training | |
| DE60329424D1 (en) | METHOD AND DEVICE FOR MOTION DETECTION IN REAL TIME | |
| WO2009124219A3 (en) | Multi-modal learning system | |
| CN101983090A (en) | Training apparatus and method based on motion content | |
| CN103240728A (en) | Wearable robot and teaching method of motion using the same | |
| US9987187B2 (en) | Apparatus and method for controlling smart wear | |
| CN106730740A (en) | A kind of Multifunctional swimming standard gestures training system | |
| CN106964117A (en) | A kind of artificial intelligence learning training method based on feedback | |
| KR102286576B1 (en) | Smart wear system and method for correcting a posture of golf-swing using the system | |
| CN103753570A (en) | Dance teaching service robot | |
| CN206979968U (en) | A kind of artificial intelligence learning training system based on feedback | |
| Liu et al. | An interactive training system of motor learning by imitation and speech instructions for children with autism | |
| CN104825256A (en) | Artificial limb system with perception feedback function | |
| CN104490408B (en) | Wearable animal behavior trajectory track device and method | |
| CN113144535B (en) | But remote monitoring's hand rehabilitation training system | |
| Alka et al. | A voice controlled pick and place robotic arm vehicle using android application | |
| CN111475035A (en) | Intelligent writing equipment based on calligraphy exercise |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Address after: 200120 room 602 and 603, No.2 Boyun Road, Zhangjiang hi tech park, Pudong New Area, Shanghai Applicant after: SHANGHAI DFROBOT Co.,Ltd. Address before: 200120 601A, 601B, A and 602A, No. 112, Liang Xiu Road, Pudong New Area (Shanghai) free trade experiment zone, Shanghai, China Applicant before: SHANGHAI DFROBOT Co.,Ltd. |
|
| CB02 | Change of applicant information | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170721 |
|
| WD01 | Invention patent application deemed withdrawn after publication |