CN209132791U - Intelligent heavy exercising system - Google Patents
Intelligent heavy exercising system Download PDFInfo
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- CN209132791U CN209132791U CN201920039515.0U CN201920039515U CN209132791U CN 209132791 U CN209132791 U CN 209132791U CN 201920039515 U CN201920039515 U CN 201920039515U CN 209132791 U CN209132791 U CN 209132791U
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- 238000012549 training Methods 0.000 claims abstract description 49
- 208000027418 Wounds and injury Diseases 0.000 claims description 4
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- 208000014674 injury Diseases 0.000 claims description 4
- 230000005856 abnormality Effects 0.000 claims description 2
- 238000005259 measurement Methods 0.000 claims description 2
- 238000001514 detection method Methods 0.000 claims 1
- 230000000694 effects Effects 0.000 description 5
- 238000007689 inspection Methods 0.000 description 4
- 210000003205 muscle Anatomy 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 3
- 230000008602 contraction Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 206010000117 Abnormal behaviour Diseases 0.000 description 2
- 230000003387 muscular Effects 0.000 description 2
- 210000002027 skeletal muscle Anatomy 0.000 description 2
- 230000006399 behavior Effects 0.000 description 1
- 238000005119 centrifugation Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 239000002360 explosive Substances 0.000 description 1
- 210000000245 forearm Anatomy 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 210000001519 tissue Anatomy 0.000 description 1
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Abstract
The intelligent heavy exercising system of user's correlation training information is provided using image analysing computer the utility model relates to a kind of, it include a dumbbell group with multiple dumbbells, one image capture unit and a processor, the image capture unit definition has an image capture area, the image capture unit is used to capture the dumbbell image being located in the image capture area and user operates the movable image of dumbbell, the processor is electrically connected the image capture unit, with a dumbbell identification unit, one motion profile tracing unit and an image analysing computer unit, the dumbbell identification unit is used to identify the weight of dumbbell according to the dumbbell image, the motion profile tracing unit is used to track the motion profile of user, the image analysing computer unit is used to analyze posture when user operates dumbbell, to provide training information to user.
Description
Technical field
The utility model relates to a kind of intelligent heavy exercising systems, particularly relate to one kind by image analysing computer and provide user
The system of information is instructed again.
Background technique
Weight training (weight training) referred to as instructs again, is to increase muscle strength and volume as the movement of target
Training.It is generated using the contraction (concentric contraction or centrifugation contraction) of different parts skeletal muscle (skeletal muscle) tissue
Strength, the gravity that contends with (are often referred to dumbbell, barbell or other mechanical weight or resistance), temper muscle.In addition, being directed to
The different muscle group of human body also has different weight training movements.Appropriateness weight training can be promoted muscular strength, explosive force,
Muscular endurance or muscle degree of enclosing, and then lifting motion shows.
During carrying out weight training, such as dumbbell training, the correctness of body action and mobile dumbbell track, loading weight,
Number of repetition, group number even training between time of having a rest, trained result and effect can all be impacted, wherein into
During row weight training, correct training action also can avoid the generation of sport injury.Therefore, must improve at any time when training
And the track of movement and mobile dumbbell that user is instructed again is corrected, therefore if there is a set of training system, it can supervise at any time
It surveys movement user is instructed again when and judges whether the posture of the mobile path of dumbbell and user are correct, then can provide
Simultaneously assisting user correctly carries out weight training to user's correlation training information.
Summary of the invention
In view of the above-mentioned problems, passing through acquisition the main purpose of the utility model is to provide a kind of intelligent heavy exercising system
User carries out weight training, image when such as dumbbell training, then by way of image analysing computer, provide related trained message to
User.
In order to achieve the above objectives, the intelligent heavy exercising system of one kind provided by the utility model, it is characterised in that include:
One dumbbell group has multiple dumbbells；An at least image capture unit, defines an image capture area, and the image capture unit is used
It is located at the movable image that the image of the dumbbell and acquisition user in the image capture area operate the dumbbell in acquisition；
One processor, is electrically connected the image capture unit, and there is the processor dumbbell identification unit, a motion profile to track
Unit and an image analysing computer unit, the dumbbell identification unit is for identifying the dumbbell according to the image of the dumbbell
Weight, the motion profile tracing unit are used to track the motion profile of user, and the image analysing computer unit makes for analyzing
User operates the posture when dumbbell, information will be trained to be supplied to user.
In above-mentioned the technical solution of the utility model, each dumbbell has a label for being used to indicate dumbbell weight, and
The dumbbell identification unit can identify the label to judge the weight of the dumbbell.
The dumbbell identification unit can calculate the weight of each dumbbell according to the size of the dumbbell.
Also there is a dumbbell rack to be used to supply the dumbbell placement positioning, the dumbbell identification unit can be according to each dumbbell in institute
State the weight that the position on dumbbell rack judges each dumbbell.
The processor further has user's identification unit, for carrying out status identification.
The processor further has a heart rate sensing unit, when user is moved using dumbbell, the heart
The privileged site that rate sensing unit can track user's body carries out the measurement of user's heart rate.
Also there is a storage element, the image and user for storing the dumbbell operate the movable image of dumbbell.
The storage element further stores a dumbbell raining guideline, compared with the movement posture of user and to use
Person provides correctly training information.
Also there is a message output device to connect the processor, the message output device is out of the ordinary for providing user
Training information.
The processor have an abnormality detecting unit, for detect in the image capture area whether have injury to personnel or
It falls in a swoon, and detects whether the dumbbell has placement positioning.
By adopting the above technical scheme, the intelligent heavy exercising system of the utility model can be used to judge that user operates dumbbell
Whether the motion track of movement and dumbbell is correct, while recognizing the weight of dumbbell, provides and records related training information such as training
Number, group number, training the messages such as track to user, to assist and train user correctly to carry out dumbbell training, with
The effect of training for promotion.
Detailed description of the invention
Fig. 1 is the perspective view schematic diagram of the first preferred embodiment of the utility model sports equipment；
Fig. 2 is the perspective view schematic diagram of the first preferred embodiment of the utility model sports equipment.
Specific embodiment
In order to which the structure, feature and effect of the utility model is described in detail, now lifts preferred embodiments below and cooperate attached drawing
It is described as follows.
As shown in Figure 1, the intelligent heavy exercising system 1 of one preferred embodiment of the utility model is mainly used to track dumbbell and make
User operates the movement posture of dumbbell, and whether the movement to judge user is correct, is generally arranged at this kind of movement in gymnasium
Place.Intelligent heavy exercising system 1 can be used to recognize the weight of dumbbell and track motion track when user operates dumbbell, to make
User provides relevent information when carrying out dumbbell training, for example, using dumbbell weight why, number, the track etc. of training provide
News.In the preferred embodiment of the utility model, intelligent heavy exercising system 1 has an at least image capture unit 10, for picking
Image when user being taken to carry out dumbbell training, image capture unit 10 can be digital camera, video camera, high-speed motion picture camera
The device of (High-speed camera) or other tool camera functions.Image capture unit 10 defines an image capture area 11, shadow
As capture device 10 be used for captures be located at image capture area 11 in image, image capture area 11 can by be located at difference towards shadow
As capture device 10 collectively forms, as shown in Figure 1, a dumbbell group 3 is set in image capture area 11, make image capture unit 10
The image of dumbbell in area 11 can be captured with pick-up image, wherein dumbbell group 3 has multiple dumbbells 31, such as 8 pairs or 10 pairs of dumbbells
It is sequentially placed on a dumbbell rack 32, when user 2, which operates dumbbell 31 in image capture area 11, to be trained, image is picked
10 fechtable user 2 of device is taken to operate the movable image of dumbbell 31, to carry out subsequent action analysis.
Fig. 2 is the block diagram of intelligent heavy exercising system 1, and there is weight exercising system 1 processor 20 to be electrically connected image capture
Device 10 simultaneously connects a memory body 30, and processor 20 is mainly used for handling the image that image capture unit 10 captures
And analysis.In the preferred embodiment, processor 20 includes a dumbbell identification unit 21, one movement tracing unit 22 and one
Analytical unit 25, the dumbbell image that dumbbell identification unit 21 can be captured according to image capture unit 10 judge the weight of dumbbell 31
Amount is such as marked in two sides of each dumbbell 31 for example, each dumbbell 31 can be respectively provided with its corresponding numeral mark 311
The labels such as 50lb (pound), 40lb (pound), 30lb (pound) are used to indicate the weight of each dumbbell 31, and dumbbell identification unit 21 is then distinguishable
Know the label 311 on each dumbbell 31 and further judge the weight of corresponding dumbbell 31, such as judges that the dumbbell 311 in use is
Why is the dumbbell weight of which and user's operation.In addition to this, dumbbell 31 can also be used different identification codes to mark in right
On the dumbbell 31 answered, the weight of dumbbell 31 is judged by recognizing the identification code on each dumbbell 31, for example, dumbbell identification unit 21
The table of comparisons that identification code on dumbbell 31 is stored in memory body 30 with one can be compared one by one, the aforementioned table of comparisons is shown each mute
The weight of bell 31 and its corresponding identification code, it is corresponding to judge by identification code on dumbbell 31 and mutually comparing for the aforementioned table of comparisons
The weight of dumbbell 31.
In addition, the weight of each dumbbell 31 can also be captured via dumbbell identification unit 21 by image capture unit 10
Dumbbell image learn that dumbbell identification unit 21 can recognize the size of each dumbbell 31 and calculate corresponding dumbbell 31 to calculate
Weight.In general, there are dumbbell two the clump weight of weights to be waited to form dumbbell by a handle or short thick stick two clump weights of connection again
Structure, aforementioned handle or short thick stick are mainly designed for facilitating gripping for user, will not usually change because of the difference of dumbbell weight
Becoming, that is to say, that the weight of dumbbell depends on the size of its counterweight block size, and in the preferred embodiment, clump weight is circle
Tubular, the diameter and thickness of the clump weight of each dumbbell difference, therefore can be identified by aforementioned dumbbell image, so that respectively
The weight of a dumbbell can be roughly calculated and learn, and the weight differential between dumbbell and dumbbell typically at least has one kilogram, and counterweight
Block or its internal material filled usually will not be because varying in weight due to all differences, therefore the dumbbell of different weight dimensionally leads to
Often with there is a degree of difference, that is, visually there is a degree of difference for carrying out image identification.
In the preferred embodiment, intelligent heavy exercising system 1 is usually applied to a full set of fixed weight dumbbell, such as Fig. 1 institute
Showing, dumbbell rack 32 positions in position for multiple dumbbells 31, i.e., each dumbbell 31 is generally positioned in its respective positions,
Therefore, dumbbell identification unit 21 can also recognize the weight out of the ordinary of dumbbell 31 according to the position of dumbbell 31 each on dumbbell rack 32
Amount, for example, dumbbell identification unit 21 can not confirm dumbbell operated by user 2 according to which dumbbell 31 on dumbbell rack 32
31 weight why or confirm that the dumbbell 31 of which weight is currently being used for gymnasium manager.
The movement tracing unit 22 of processor 20 can be used for tracking movement when user 2 carries out dumbbell training, such as Fig. 1 institute
Show, when user 2 carries out dumbbell, and curved act (dumbbell concentration curl) is concentrated to do biceps training, movement
Tracing unit 22 can be used for tracking the training posture of user 2, such as tracks curved act angle of 2 forearm of user with respect to upper arm and moves
Make etc., whether the analytical unit 25 of processor 20 can be used for analyzing posture when user 2 operates dumbbell 31 or acts correctly simultaneously
There is provided related training information such as the number of training, organize number, training track information to user, wherein memory body 30 can be into
One step stores a dumbbell raining guideline, and analytical unit 25 posture of user and can will be stored in dumbbell training in memory body 30
Guide is compared, and provides correct training action to user.
As shown in Fig. 2, in the preferred embodiment, processor 20 connects a message output device 40, message output device
40 are mainly used for transmitting an other trained information to user, for example, user can be downloaded by message output device 40
The training information of people or the analysis result of analytical unit 25 read for user to mobile phone or any display device or browse it
Result etc. after training information, such as the analysis of trained number, training action.
Processor 20 further has user's identification unit 23, uses the user of dumbbell 31 for identification, at this
In preferred embodiment, user's identification unit 23 can carry out user's identification by way of human face recognition, and user distinguishes
One or more users can be recognized simultaneously by knowing unit 23, make intelligent heavy exercising system 1 that can record one or more uses simultaneously
The training activity of person, therefore, when user carries out dumbbell training in the image capture area 11 defined in image capture unit 10
When, intelligent heavy exercising system 1 can provide the respective trained information of each user.Human face recognition is known technology, thin portion
The main target of structure feature and the non-the utility model of principle, seldom explains herein.
In addition, processor 20 includes a heart rate sensing unit 23, heart rate sensing unit 23 can pass through image capture unit
10 keep track the privileged site of user's body, such as face, to measure heart rate when user carries out dumbbell exercise, citing
For, heart rate sensing unit 23 can be according to the pixel information (pixel for user's image that image capture unit 10 captures
Information variation) carries out analysis and measures and then obtain the heart rate information of user.By by digital camera or video camera
The pixel information of the image captured is known technology, thin portion structure feature and original come the technology for measuring user's heartbeat
The main target for managing non-the utility model, seldom explains herein.In this way, the intelligent heavy exercising system 1 of the utility model
An other trained information such as dumbbell weight, frequency of training, user's motion profile, raining guideline, heart rate is capable of providing to use
Person.
It is please referred to shown in Fig. 2 again, processor 20 also includes an abnormal inspection unit 26, and abnormal inspection unit 26 is main
Whether capture the people in area 11 for detecting image has injury to personnel or falls in a swoon etc. that abnormal behaviours occur and detecting dumbbell 31 is
No to have Gui Dingwei, when user is injured or when falling in a swoon during operating dumbbell, behavior or posture can abnormal, and extremely
Inspection unit 26 can at-once monitor to aforementioned abnormal behaviour generation, to ensure the safety of user's training, gymnasium as a result,
Whether intentionally manager can discover immediately the outer generation of the personnel in image capture area 11 by image capture unit 10, in addition, different
Normal inspection unit 26 can also assist in the manager of gymnasium convenient for monitoring and tracking whether dumbbell 31 has Gui Dingwei.
In conclusion the intelligent heavy exercising system 1 of the utility model, fechtable user carries out shadow when dumbbell exercise
Picture, then analyzed by way of image analysing computer, judge user operate dumbbell movement and dumbbell motion track whether
Correctly, while recognizing the weight of dumbbell, provide and record related training information such as the number of training, group number, training track
Message is to user, to correct the posture of user's mistake, assists and training user correctly carries out dumbbell training, to be promoted
Trained effect.Previous embodiment is merely to illustrate the technical characteristic that the utility model is covered rather than limits, all practical with this
Novel equivalent structure design, should all be covered by the scope of patent protection of the utility model.
Claims (10)
1. a kind of intelligent heavy exercising system, it is characterised in that include:
One dumbbell group has multiple dumbbells；
An at least image capture unit, defines an image capture area, and the image capture unit is located at the image for capturing
It captures the image of the dumbbell in area and captures the movable image that user operates the dumbbell；
One processor, is electrically connected the image capture unit, and the processor has a dumbbell identification unit, a motion profile
Tracing unit and an image analysing computer unit, the dumbbell identification unit are described mute for being identified according to the image of the dumbbell
The weight of bell, the motion profile tracing unit are used to track the motion profile of user, and the image analysing computer unit is for dividing
Analysis user operates the posture when dumbbell, information will be trained to be supplied to user.
2. intelligent heavy exercising system as described in claim 1, it is characterised in that: each dumbbell has one to be used to indicate dumbbell
The label of weight, and the dumbbell identification unit can identify the label to judge the weight of the dumbbell.
3. intelligent heavy exercising system as described in claim 1, it is characterised in that: the dumbbell identification unit can be according to described mute
The size of bell calculates the weight of each dumbbell.
4. intelligent heavy exercising system as described in claim 1, it is characterised in that: also have a dumbbell rack to be used to supply the dumbbell
Placement positioning, the dumbbell identification unit can judge the weight of each dumbbell according to position of each dumbbell on the dumbbell rack.
5. intelligent heavy exercising system as described in claim 1, it is characterised in that: the processor further has a user
Identification unit, for carrying out status identification.
6. intelligent heavy exercising system as described in claim 1, it is characterised in that: the processor further has a heart rate sense
Unit is surveyed, when user is moved using dumbbell, the heart rate sensing unit can track the privileged site of user's body
Carry out the measurement of user's heart rate.
7. intelligent heavy exercising system as described in claim 1, it is characterised in that: also there is a storage element, for storing
The image and user of stating dumbbell operate the movable image of dumbbell.
8. intelligent heavy exercising system as claimed in claim 7, it is characterised in that: the storage element further stores a dumbbell
Raining guideline, to provide correctly training information compared with the movement posture of user and for user.
9. intelligent heavy exercising system as described in claim 1, it is characterised in that: also have described in message output device connection
Processor, the message output device is for providing the other trained information of user.
10. intelligent heavy exercising system as described in claim 1, it is characterised in that: the processor has an abnormality detection list
Whether member has injury to personnel in the image capture area or falls in a swoon for detecting, and detects whether the dumbbell has placement fixed
Position.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201920039515.0U CN209132791U (en) | 2019-01-10 | 2019-01-10 | Intelligent heavy exercising system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201920039515.0U CN209132791U (en) | 2019-01-10 | 2019-01-10 | Intelligent heavy exercising system |
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| CN209132791U true CN209132791U (en) | 2019-07-19 |
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| CN201920039515.0U Expired - Fee Related CN209132791U (en) | 2019-01-10 | 2019-01-10 | Intelligent heavy exercising system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023019289A1 (en) * | 2021-08-16 | 2023-02-23 | Core Advantage Pty Ltd | Velocity-based training |
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2019
- 2019-01-10 CN CN201920039515.0U patent/CN209132791U/en not_active Expired - Fee Related
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023019289A1 (en) * | 2021-08-16 | 2023-02-23 | Core Advantage Pty Ltd | Velocity-based training |
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Granted publication date: 20190719 |