CN104287748A - Human body load detection method based on wearable equipment and wearable equipment - Google Patents
Human body load detection method based on wearable equipment and wearable equipment Download PDFInfo
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- CN104287748A CN104287748A CN201410499710.3A CN201410499710A CN104287748A CN 104287748 A CN104287748 A CN 104287748A CN 201410499710 A CN201410499710 A CN 201410499710A CN 104287748 A CN104287748 A CN 104287748A
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- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
Abstract
The invention relates to the technical field of communications, and provides a human body load detection method based on wearable equipment. The wearable equipment is arranged on at least one human body stressed part of a user. The method includes the steps that the wearable equipment detects the load value of the human body stressed part, and the wearable equipment generates a corresponding historical load record according to the detected load value of the human body stressed part. Preferably, the wearable equipment sends an overload warning prompt if the load value reaches the load threshold value. The invention further provides the wearable equipment. In this way, load information of the user can be obtained and recorded in the load training process, so that the user checks the personal load training situation conveniently and increases or decreases the training strength properly.
Description
Technical field
The present invention relates to communication technical field, particularly relate to a kind of human body heavy burden detection method based on wearable device and wearable device.
Background technology
The essential information of human body when current exercise aid device or application usually only can obtain user's aerobatic exercise, such as heart rate value, numerical value such as training milimeter number and consumed energy etc. are for reference, but the statistical function lacked weight training and related guidance.Weight training also claims strength building, is a kind of by the training increased for the purpose of muscle strength and volume.Use the strength of the contraction generation of different parts skeletal muscle tissue to contend with gravity, the gravity contended with typically refers to weight or the resistance of dumbbell, barbell and other apparatuses, and muscle is trained.For the muscle group that human body is different, there is different weight exercise actions.But a lot of user is owing to lacking knowledge and the specialized guidance of relevant weight training, causes not playing body-building effect and abandon training, more having user due to incorrect motion of having an effect, because joint is stressed excessive and cause athletic injury.
In summary, obviously there is inconvenience and defect in actual use in prior art, so be necessary to be improved.
Summary of the invention
For above-mentioned defect, the object of the present invention is to provide a kind of human body heavy burden detection method based on wearable device and wearable device, it can obtain the heavy burden information with recording user when weight training, with the weight training record case facilitating user to check oneself, be convenient to user and suitably increase and decrease training strength.
To achieve these goals, the invention provides a kind of human body heavy burden detection method based on wearable device, described wearable device is arranged at least one human body stress position of user, and described method comprises step to be had:
Described wearable device detects the load values at described human body stress position;
Described wearable device generates corresponding heavy burden historical record according to the described load values detected.
According to human body heavy burden detection method of the present invention, described wearable device also comprises after generating the step of corresponding heavy burden historical record according to the described load values detected:
The described human body essential information that described wearable device inputs according to user and described heavy burden historical record, generate corresponding weight training tutorial message; And/or
Described heavy burden historical record and/or described weight training tutorial message are shared network by described wearable device.
According to human body heavy burden detection method of the present invention, described wearable device is wearable wrist strap, and described wearable wrist strap is fixed on described human body stress position;
Described human body stress position comprises the palm of the hand, shoulder, waist, knee joint, ankle joint, shoulder joint and/or elbow joint.
According to human body heavy burden detection method of the present invention, described wearable device also comprises after detecting the step of the load values at described human body stress position:
Described wearable device judges whether the described load values detected reaches predetermined heavy burden threshold value;
If described load values reaches described heavy burden threshold value, described wearable device sends overweight early warning.
According to human body heavy burden detection method of the present invention, described wearable device judges the described load values detected also comprises before whether reaching the step of predetermined heavy burden threshold value:
Described wearable device calculates according to the described human body essential information that user inputs and generates described heavy burden threshold value; Or
The described human body essential information that described wearable device inputs according to user and described heavy burden historical record calculate and generate described heavy burden threshold value.
The present invention also provides a kind of wearable device, and described wearable device is arranged at least one human body stress position of user, and described wearable device includes:
Heavy burden detection module, for detecting the load values at described human body stress position;
Heavy burden logging modle, for generating corresponding heavy burden historical record according to the described load values detected.
According to wearable device of the present invention, described wearable device also comprises:
Training guidance module, for the described human body essential information that inputs according to user and described heavy burden historical record, generates corresponding weight training tutorial message; And/or
Information share module, for sharing described heavy burden historical record and/or described weight training tutorial message with network.
According to wearable device of the present invention, described wearable device is wearable wrist strap, and described wearable wrist strap is fixed on described human body stress position;
Described human body stress position comprises the palm of the hand, shoulder, waist, knee joint, ankle joint, shoulder joint and/or elbow joint.
According to wearable device of the present invention, described wearable device also comprises:
Heavy burden judge module, for judging the heavy burden threshold value whether detected described load values reaches predetermined;
Heavy burden warning module, if described load values reaches described heavy burden threshold value, for sending overweight early warning.
According to wearable device of the present invention, described wearable device also comprises:
First threshold generation module, the described human body essential information for inputting according to user calculates and generates described heavy burden threshold value; Or
Second Threshold generation module, calculates for the described human body essential information that inputs according to user and described heavy burden historical record and generates described heavy burden threshold value.
Wearable device of the present invention can be arranged at least one human body stress position of user, for detecting the load values at described human body stress position, and generates corresponding heavy burden historical record according to described load values.Whereby, the present invention can obtain the heavy burden information with recording user when weight training, facilitates user to check the weight training record case of oneself, is convenient to user and suitably increases and decreases training strength.Preferably, described wearable device is according to the human body essential information of user and heavy burden historical record, generate corresponding weight training tutorial message, and described heavy burden historical record can be shared network with weight training tutorial message, thus can be user and provide more professional weight training to instruct, and can use for reference for other users that health is similar, thus improve training effect.Be more preferably, if described wearable device detects that the load values at human body stress position reaches heavy burden threshold value, send overweight early warning to user, to prevent athletic injury, thus protection user health.
Accompanying drawing explanation
Fig. 1 is the structural representation of wearable device of the present invention;
Fig. 2 is the structural representation of the preferred wearable device of the present invention;
Fig. 3 is the flow chart of the human body heavy burden detection method that the present invention is based on wearable device;
Fig. 4 is the flow chart based on the human body heavy burden detection method of wearable device in first embodiment of the invention;
Fig. 5 is the flow chart based on the human body heavy burden detection method of wearable device in second embodiment of the invention;
Fig. 6 is the flow chart based on the human body heavy burden detection method of wearable device in third embodiment of the invention;
Fig. 7 is the structural representation that wearable device of the present invention is fixed on the palm of the hand;
Fig. 8 is that wearable device of the present invention is fixed on kneed structural representation.
Detailed description of the invention
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
Fig. 1 is the structural representation of wearable device of the present invention, and described wearable device 100 is arranged at least one human body stress position of user, and wearable device 100 includes heavy burden detection module 10 and heavy burden logging modle 20, wherein:
Described heavy burden detection module 10, for the load values of human body force part.Described heavy burden detection module 10 can be realized by pressure transducer, and the force value that pressure transducer obtains human body stress position records the weight used when user trains.Described human body stress position refers to that user is when weight training, and the force part of human body, comprises the palm of the hand, shoulder, waist, knee joint, ankle joint, shoulder joint and/or elbow joint etc.Such as, when carrying out the weight trainings such as act barbell user, wearable device 100 is arranged at the force part such as the palm of the hand and/or knee joint, is obtained the force value of the palm of the hand and/or knee joint by heavy burden detection module 10, the weight of barbell can be obtained out like this.
Described heavy burden logging modle 20, for generating corresponding heavy burden historical record according to the load values detected.Preferably, the stressed tolerances of the force part that human body is different is different, so the heavy burden historical record that human body stress position should be corresponding different.Described heavy burden historical record can facilitate user to check the weight training situation of oneself, is convenient to user and suitably increases and decreases training strength.
Wearable device 100 of the present invention refers to and can directly be through with it user, or is incorporated into the clothes of user or a kind of portable set of accessory.Wearable device 100 is not only a kind of hardware device, also can realize powerful function alternately by software support and data interaction, high in the clouds.Preferably, wearable device 100 is wearable wrist strap, and wearable wrist strap can fixedly twine in human body stress positions such as the palm of the hand, shoulder, waist, knee joint, ankle joint, shoulder joint and/or elbow joinies easily.By weight size appended by the pressure transducer human body force part of wearable wrist strap, record with this training heavy burden change in value process facilitating user to check oneself.Certainly, wearable device 100 can be also wearable shoulder belt, wearable garment etc., as long as the structure of wearable device of the present invention 100 can be suitable for load values human body stress position being detected, its Mechanical Builds is also unrestricted.
Fig. 2 is the structural representation of the preferred wearable device of the present invention, described wearable device 100 is arranged at least one human body stress position of user, and wearable device 100 includes heavy burden detection module 10, heavy burden logging modle 20, training guidance module 30 and/or information share module 40, wherein:
Described heavy burden detection module 10, for the load values of human body force part.Described heavy burden detection module 10 can be realized by pressure transducer, and the force value that pressure transducer obtains human body stress position records the weight used when user trains.Certainly, wearable device 100 also can measure heart rate value, other motion parameter such as training milimeter number and/or consumed energy etc. of user, described heart rate value can be calculated by the heart rate sensor of wearable device 100, described training milimeter number can be drawn by the pedometer of wearable device 100, and described consumed energy can be drawn by pedometer and energy consumption algorithms.The force value simultaneously detected in conjunction with pressure transducer and described heart rate value, training milimeter number and/or consumed energy etc. calculate the load values at human body stress position, and such result of calculation is more accurate.
Described heavy burden logging modle 20, for the load values according to detection, and generates corresponding heavy burden historical record, so that user checks the history training of oneself.
Described training guidance module 30, for the human body essential information that inputs according to user and described heavy burden historical record, generates corresponding weight training tutorial message.Such as, provide the weight training plan in the cycle such as this week, this month, pointing out same weight to use repeatedly can suitably gain in strength, thus can be user and provide more professional weight training to instruct, and promotes user training effect.Described human body essential information comprises the height, body weight, age, sex etc. of user, and human body essential information and weight training intensity exist important relation.Here, user directly can input human body essential information on the input block of wearable device 100, but consider that the input block of wearable device 100 is not easily excessively complicated, therefore preferred, users by inputting human body essential information on the communication terminals such as mobile phone, then by communication terminal, described human body essential information is passed to wearable device 100 by modes such as near-field communications.
Described information share module 40, for described heavy burden historical record and/or weight training tutorial message are shared network, for other user's references.Here, heavy burden historical record and/or weight training tutorial message directly can be shared network by the communication module of wearable device 100 by user, but consider that the structure of wearable device 100 is not easily excessive, therefore the communication module of wearable device 100 can be omitted, preferred, users by wearable device 100 by heavy burden historical record and/or weight training tutorial message by modes such as near-field communications, be sent to the communication terminals such as mobile phone, then by communication terminal, described heavy burden historical record and/or weight training tutorial message shared network.Meanwhile, user can also obtain by communication terminal the weight training experience that human body essential information other users close with this user share, for this user's reference, to improve training effect.
Preferably, wearable device 100 also comprises:
Heavy burden judge module 50, for judging the heavy burden threshold value whether detected load values reaches predetermined.Described heavy burden threshold value can be that system default is arranged or User Defined is arranged, and also can calculate according to the human body essential information of user and heavy burden historical record threshold value of bearing a heavy burden more accurately.
Heavy burden warning module 60, if the load values detected reaches heavy burden threshold value, for sending overweight early warning, can advise that user reduces the loading weight of movable machinery, to prevent athletic injury, thus available protecting user health.
Be more preferably, wearable device 100 also comprises:
First threshold generation module 70, calculates for the human body essential information that inputs according to user and generates heavy burden threshold value, and such as wearable device 100 generates the heavy burden threshold value of user automatically according to the height of user, body weight, age, sex and predetermined threshold algorithm.
Second Threshold generation module 80, calculates for the human body essential information that inputs according to user and heavy burden historical record and generates heavy burden threshold value.Obviously, along with the passing of user's training time, heavy burden historical record is in continuous change, and now heavy burden threshold value also respective change will occur, and such as heavy burden threshold value increases gradually.
Wearable device 100 of the present invention is except obtaining heart rate, outside the essential informations such as consumed energy, the heavy burden information used when can also obtain user's weight training is also recorded, user is facilitated suitably to increase and decrease training strength, wearable device 100 obtains in force part and bears pressure, reminding user when exceeding a certain threshold value, prevents athletic injury.Simultaneously by the body-building experience that the user that the Internet is close with communication terminal acquisition physical qualification shares, improve training effect.
Fig. 3 is the flow chart of the human body heavy burden detection method that the present invention is based on wearable device, it realizes by wearable device 100 as shown in Figure 1 or 2, described wearable device 100 is arranged at least one human body stress position of user, and described method comprises step to be had:
Step S301, the load values of wearable device 100 human body force part.
Specifically can record by the force value at the pressure transducer acquisition human body stress position of wearable device 100 weight used when user trains.Described human body stress position refers to that user is when weight training, and the force part of human body, comprises the palm of the hand, shoulder, waist, knee joint, ankle joint, shoulder joint and/or elbow joint etc.Such as, when carrying out the weight trainings such as act barbell user, wearable device 100 is arranged at the force part such as the palm of the hand and/or knee joint, obtains the force value at the palm of the hand and/or knee joint place, the weight of barbell can be obtained out like this.
Step S302, wearable device 100 generates corresponding heavy burden historical record according to the load values detected.
Preferably, the stressed tolerances at different human body stress positions is different, so heavy burden historical record that should be corresponding different.Described heavy burden historical record can facilitate user to check the weight training situation of oneself, is convenient to user and suitably increases and decreases training strength.
Wearable device 100 of the present invention refers to and can directly be through with it user, or is incorporated into the clothes of user or a kind of portable set of accessory.Wearable device 100 is not only a kind of hardware device, realizes powerful function alternately especially by software support and data interaction, high in the clouds.Preferably, wearable device 100 is wearable wrist strap, and wearable wrist strap can fixedly twine in human body stress positions such as the palm of the hand, shoulder, waist, knee joint, ankle joint, shoulder joint and/or elbow joinies easily.Detect appended weight size by the pressure transducer of wearable wrist strap, record with this training heavy burden change in value process facilitating user to check oneself.Certainly, wearable device 100 can be also wearable shoulder belt, wearable garment etc., as long as the structure of wearable device of the present invention 100 can be suitable for load values human body stress position being detected, its Mechanical Builds is also unrestricted.
Fig. 4 is the flow chart based on the human body heavy burden detection method of wearable device in first embodiment of the invention, it realizes by wearable device 100 as shown in Figure 2, described wearable device 100 is arranged at least one human body stress position of user, and described method comprises step to be had:
Step S401, wearable device 100 receives the human body essential information of user's input.
Here, user directly can input human body essential information on the input block of wearable device 100, but consider that the input block of wearable device 100 is not easily excessively complicated, therefore preferred, users by inputting human body essential information on the communication terminals such as mobile phone, then by communication terminal, described human body essential information is passed to wearable device 100 by modes such as near-field communications.
Step S402, the load values of wearable device 100 human body force part.
This step can being realized by pressure transducer by wearable device 100, and the force value that pressure transducer obtains human body stress position records the weight used when user trains.Certainly, wearable device 100 also can measure other motion parameter such as heart rate value, training milimeter number, consumed energy and/or bio electricity resistance of user, the force value simultaneously detected in conjunction with pressure transducer and described heart rate value, training milimeter number, consumed energy and/or bio electricity resistance etc. calculate the load values at human body stress position, and such result of calculation is more accurate.
Step S403, wearable device 100 generates corresponding heavy burden historical record according to the load values detected.
Preferably, different force parts, corresponding different heavy burden historical records.Like this, facilitate user to check the weight training record case of oneself, be convenient to user and suitably increase and decrease training strength.
Step S404, wearable device 100, according to the human body essential information of user and heavy burden historical record, generates corresponding weight training tutorial message.
Such as, provide the weight training plan in the cycle such as this week, this month, pointing out same weight to use repeatedly can suitably gain in strength, thus can be user and provide more professional weight training to instruct, and promotes user training effect.Described human body essential information comprises the height, body weight, age, sex etc. of user, and human body essential information and weight training intensity exist important relation.
Step S405, heavy burden historical record and/or weight training tutorial message are shared network by wearable device 100, for other user's references.
Here, heavy burden historical record and/or weight training tutorial message directly can be shared network by the communication module of wearable device 100 by user, but consider that the structure of wearable device 100 is not easily excessive, therefore the communication module of wearable device 100 can be omitted, preferred, users by wearable device 100 by heavy burden historical record and/or weight training tutorial message by modes such as near-field communications, be sent to the communication terminals such as mobile phone, then by communication terminal, described heavy burden historical record and/or weight training tutorial message shared network.Meanwhile, user can also obtain by communication terminal the weight training experience that human body essential information other users close with this user share, for this user's reference, to improve training effect.
Fig. 5 is the flow chart based on the human body heavy burden detection method of wearable device in second embodiment of the invention, it realizes by wearable device 100 as shown in Figure 2, described wearable device 100 is arranged at least one human body stress position of user, and described method comprises step to be had:
Step S501, the load values of wearable device 100 human body force part.
Preferably, wearable device 100 is wearable wrist strap, and wearable wrist strap is fixed on human body stress position.Described human body stress position comprises the palm of the hand, shoulder, waist, knee joint, ankle joint, shoulder joint and/or elbow joint etc.
Step S502, wearable device 100 judges the heavy burden the threshold value whether load values detected reaches predetermined, if then perform step S503, otherwise performs step S504.
Preferably, wearable device 100 calculates according to the human body essential information that user inputs and generates heavy burden threshold value; Or the human body essential information that wearable device 100 inputs according to user and heavy burden historical record calculate and generate heavy burden threshold value.
Step S503, if load values reaches heavy burden threshold value, wearable device 100 sends overweight early warning.
Now, wearable device 100 can advise that user reduces the loading weight of movable machinery, to prevent athletic injury, thus available protecting user health.
Step S504, if load values does not reach heavy burden threshold value, wearable device 100 generates corresponding heavy burden historical record according to the load values detected.
Fig. 6 is the flow chart based on the human body heavy burden detection method of wearable device in third embodiment of the invention, it realizes by wearable device 100 as shown in Figure 2, described wearable device 100 is for being arranged at the wearable wrist strap 100 of the force part of user, and described method comprises step to be had:
Step S601, the human body essential information that user inputs by communication terminal sends to wearable wrist strap.Consider that wearable wrist strap is not easy to do too complicated, therefore wearable wrist strap does not possess network communicating function, and communication terminal can be connected by modes such as near-field communications with wearable wrist strap.Described human body essential information comprises height, body weight, age, sex etc.
Step S602, when user carries out weight training, can twine at least one force part by wearable wrist respectively, is detected the load values of force part by wearable wrist strap.Such as, act barbell exercising is carried out user, now wearable wrist strap is twined the palm of the hand in user and knee joint place by user, as shown in Figure 7 and Figure 8, obtains force value record the weight that when user trains, the palm of the hand and knee joint place are subject to by the pressure transducer of wearable wrist strap.
Step S603, wearable wrist strap generates corresponding heavy burden historical record according to the load values detecting force part.Such as generate the palm of the hand and kneed heavy burden historical record respectively.
Step S604, user is confirmed whether the network sharing carrying out heavy burden historical record, if then perform step S605, otherwise performs step S606.
Step S605, heavy burden historical record is issued communication terminal by modes such as near-field communications by wearable wrist strap, carries out network sharing, then perform step S606 by communication terminal.Simultaneously user can also obtain by communication terminal the training strength experience that human body essential information other users close with this user share, for this user's reference, and raising training effect.
Step S606, wearable wrist strap calculates according to the human body essential information of user and heavy burden historical record the heavy burden threshold value generating force part, is here to analyze a heavy burden threshold value in conjunction with user profile and training historical record.
Step S607, wearable wrist strap continues the load values detecting force part.Such as, wearable wrist strap is twined in knee joint place, to detect the pressure size obtained when knee joint bending shrinks.
Step S608, wearable wrist strap judges the heavy burden the threshold value whether load values of detected force part reaches predetermined, if then perform step S609, otherwise process ends.
Step S609, if the load values of force part reaches heavy burden threshold value, wearable wrist strap sends overweight early warning, and the suitable weight reduction of prompting user, prevents from causing athletic injury.Such as, when carrying out deep-knee-bend contact, knee joint can be subject to larger pressure, twines in knee joint place by this wearable wrist strap, and can give the alarm when pressure is excessive reminding user weight reduction.Consider in the present embodiment that the stressed joint of user is the easiest to be injured in weight training, therefore early warning prompting is carried out to stressed joint and be necessary very much, certainly, also can report to the police to force parts such as the palms of the hand.
In sum, wearable device of the present invention can be arranged at least one human body stress position of user, for detecting the load values at described human body stress position, and generates corresponding heavy burden historical record according to described load values.Whereby, the present invention can obtain the heavy burden information with recording user when weight training, facilitates user to check the weight training record case of oneself, is convenient to user and suitably increases and decreases training strength.Preferably, described wearable device is according to the human body essential information of user and heavy burden historical record, generate corresponding weight training tutorial message, and described heavy burden historical record can be shared network with weight training tutorial message, thus can be user and provide more professional weight training to instruct, and can use for reference for other users that health is similar, thus improve training effect.Be more preferably, if described wearable device detects that the load values at human body stress position reaches heavy burden threshold value, send overweight early warning to user, to prevent athletic injury, thus protection user health.
Certainly; the present invention also can have other various embodiments; when not deviating from the present invention's spirit and essence thereof; those of ordinary skill in the art are when making various corresponding change and distortion according to the present invention, but these change accordingly and are out of shape the protection domain that all should belong to the claim appended by the present invention.
Claims (10)
1. based on a human body heavy burden detection method for wearable device, it is characterized in that, described wearable device is arranged at least one human body stress position of user, and described method comprises step to be had:
Described wearable device detects the load values at described human body stress position;
Described wearable device generates corresponding heavy burden historical record according to the described load values detected.
2. human body heavy burden detection method according to claim 1, is characterized in that, described wearable device also comprises after generating the step of corresponding heavy burden historical record according to the described load values detected:
The described human body essential information that described wearable device inputs according to user and described heavy burden historical record, generate corresponding weight training tutorial message; And/or
Described heavy burden historical record and/or described weight training tutorial message are shared network by described wearable device.
3. human body heavy burden detection method according to claim 1, is characterized in that, described wearable device is wearable wrist strap, and described wearable wrist strap is fixed on described human body stress position;
Described human body stress position comprises the palm of the hand, shoulder, waist, knee joint, ankle joint, shoulder joint and/or elbow joint.
4. the human body heavy burden detection method according to any one of claims 1 to 3, is characterized in that, described wearable device also comprises after detecting the step of the load values at described human body stress position:
Described wearable device judges whether the described load values detected reaches predetermined heavy burden threshold value;
If described load values reaches described heavy burden threshold value, described wearable device sends overweight early warning.
5. human body heavy burden detection method according to claim 4, is characterized in that, described wearable device judges the described load values detected also comprises before whether reaching the step of predetermined heavy burden threshold value:
Described wearable device calculates according to the described human body essential information that user inputs and generates described heavy burden threshold value; Or
The described human body essential information that described wearable device inputs according to user and described heavy burden historical record calculate and generate described heavy burden threshold value.
6. a wearable device, is characterized in that, described wearable device is arranged at least one human body stress position of user, and described wearable device includes:
Heavy burden detection module, for detecting the load values at described human body stress position;
Heavy burden logging modle, for generating corresponding heavy burden historical record according to the described load values detected.
7. wearable device according to claim 6, is characterized in that, described wearable device also comprises:
Training guidance module, for the described human body essential information that inputs according to user and described heavy burden historical record, generates corresponding weight training tutorial message; And/or
Information share module, for sharing described heavy burden historical record and/or described weight training tutorial message with network.
8. wearable device according to claim 6, is characterized in that, described wearable device is wearable wrist strap, and described wearable wrist strap is fixed on described human body stress position;
Described human body stress position comprises the palm of the hand, shoulder, waist, knee joint, ankle joint, shoulder joint and/or elbow joint.
9. the wearable device according to any one of claim 6 ~ 8, is characterized in that, described wearable device also comprises:
Heavy burden judge module, for judging the heavy burden threshold value whether detected described load values reaches predetermined;
Heavy burden warning module, if described load values reaches described heavy burden threshold value, for sending overweight early warning.
10. wearable device according to claim 9, is characterized in that, described wearable device also comprises:
First threshold generation module, the described human body essential information for inputting according to user calculates and generates described heavy burden threshold value; Or
Second Threshold generation module, calculates for the described human body essential information that inputs according to user and described heavy burden historical record and generates described heavy burden threshold value.
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| CN104840205A (en) * | 2015-05-07 | 2015-08-19 | 济南科纳信息科技有限公司 | Scientific research training aid capable of displaying lumbar vertebra stress state during human body weight lifting |
| CN104840206A (en) * | 2015-05-07 | 2015-08-19 | 济南科纳信息科技有限公司 | Scientific research training aid capable of analyzing lumbar vertebra stress during human body weight lifting |
| CN105080110A (en) * | 2015-05-07 | 2015-11-25 | 济南科纳信息科技有限公司 | Scientific research teaching aid capable of displaying lumbar stress state when both arms lift dumbbells |
| JP2016162272A (en) * | 2015-03-03 | 2016-09-05 | 株式会社エヌ・ティ・ティ・データ | Activity amount management device, activity amount management method and program |
| CN110432905A (en) * | 2019-07-31 | 2019-11-12 | 首都医科大学宣武医院 | A kind of weight bearing amount detection systems and method |
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