CN201211185Y - Motion quantization wrist watch - Google Patents
Motion quantization wrist watch Download PDFInfo
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- CN201211185Y CN201211185Y CNU2008201209673U CN200820120967U CN201211185Y CN 201211185 Y CN201211185 Y CN 201211185Y CN U2008201209673 U CNU2008201209673 U CN U2008201209673U CN 200820120967 U CN200820120967 U CN 200820120967U CN 201211185 Y CN201211185 Y CN 201211185Y
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Abstract
The utility model relates to an exercise quantifying wrist watch, which can establish healthy exercise for a user according to the body condition of the user and quantified indexes of human health by a data processor. A battery provides power for the exercise quantifying wrist watch through a control switch. Keys are used for the selection of functions of the data processor and the input of the data. The signal output ends of an acceleration transducer, a heart rate sensor and a temperature sensor are connected with a signal input end of a data acquisition processor. The data acquisition processor forms a two-way data interaction with a memory, forms a two-way data interaction with a communication module, and forms a one-way data transmission with a display.
Description
Technical field
It can be that the motion that user works up fitness campaign quantizes watch according to the quantizating index of health according to the physical qualification of user self, by data processor that this utility model relates to a kind of, belongs to body-building and detects informer and make the field.
Background technology
At present, the multiple motion quantifier of selling on the market has: electronic pedometer, exercise heart rate table etc., can write down the quantifier in the motor processs such as the heart rate of user in motor process, meter step, the calorie that also can calculate, provide simultaneously user to consume in motor process is to satisfy body weight control person's specific (special) requirements." calorie counter " as patent 00120700.8 is a kind of according to the human body basal metabolism, exercise intensity, body fat rate, body weight is calculated the computer of the heat of motion consumption in 1 day, wherein human motion intensity converts out according to heart rate, but it is only at the motor pattern of walking and running, can't to other motion as swimming, motions such as rope skipping are differentiated, and in motor process, can be divided into aerobic and anaerobic exercise, the effect of two type games is different, and this patent is not made differentiation to this, more can not play the effect of reminding and supervising in motor process.This invention must utilize a cutting ferrule to measure human body impedance in addition, thereby loaded down with trivial details, and actual performance difficulty in addition can't be to the personalized motion menu of suitable own exercise intensity of user suggestion and requirement.
" a kind of method of definite movable information and the wrist formula equipment " of contrast patent 200710105572.6 is gathered in the information of motor process user, the type of sports of motor process is not analyzed, and more can't instruct the motor behavior of user.Its weak point in a word: the one, these motion quantifiers can only carry out the collection of exercise data and user physiological data at single type of sports, can not satisfy the measurement requirement that user carries out complicated multinomial motion; The 2nd, can only be by effects on physiological indexes in the user motor process being calculated the exercise intensity of user, thereby calculate the calorie that consumes in its motor process, but the intensity of motion is not considered in this calculating, easily producing improper calorie consumes, not only bad for healthy, and diminish healthy; The 3rd, the quantifier in current market all is a movable information of accepting user passively, and therefore physical attribute that can't the person of being used in combination, motion requires and the movement environment at user place is scientifically done exercises suggestion can not meet the Sport Administration requirement of user personalization.
Summary of the invention
Purpose of design: avoid the weak point in the background technology, design a kind of can be according to the self-condition of each user, and work up the motion menu that is suitable for its body-building, and whether the data that can put down in writing according to menu movement point out time of posture, quantity of motion, motion of its motion in----in the scope at motion menu-whether scope in health to user, and can change the motion that revise motion menu in time according to the health of user and quantize watch.
Design: in order to realize above-mentioned purpose of design.In when motion, be worn over the multifunctional movement quantifier on the wrist or on the ankle, it can be differentiated type of sports automatically or set up new type of sports on the basis of original type of sports; Test and momental size and the time of metering user when carrying out a certain motion, and differentiate the effective exercise time or calculate, and can comprehensively draw the caloric total amount that the different motion type consumes in the motor process to caloric consumption that should a motion; Can be by the mode and the mobile terminal device exchange motion information data of radio communication; Can reach the purpose of adjusting motion menu intensity by the measurement of local real-time temperature; Can point out effectively and show three scopes of heart rate lower limit--upper limit--warning that user is in various kinestates, to improve moving-mass and effect.
The multifunctional movement quantifier is by three dimension acceleration sensor or two plane acceleration transducers, heart rate sensor, data collection processor, memory module, communication module, display is formed, data collection processor is gathered the waveform (X of acceleration transducer in three-dimensional numerical value, Y, Z), compare with the multiple sports category waveform that is stored in the memory module, analyze the type of its motion, and to the intensity of waveform and the corresponding record of time catch cropping of effective exercise, after motion finishes, the record that directly will move sends to mobile terminal device or converses caloric consumption automatically and compare with motion menu according to the record of motion, the exercise program performance of today is shown and informs user.
When the multifunctional movement quantifier is not stored current motion characteristics waveform in the sports category memorizer, as table tennis, basketball, swimming, perhaps each user is carrying out a certain its unique motion feature of when motion (as the individual part in the motion, custom, posture etc.) when all not being inconsistent with waveform in the sports category memorizer, this utility model provides learning model, can sample respectively, handle, be stored in the sports category memorizer according to the motion feature of everyone uniqueness.Stroke as swimming, at the volley, multifunctional movement quantifier sample record user signature waveform at the volley, the similar waveform that repeatedly and repeatedly occurs at the volley through comparison, waveform as the sports category feature, with regard to freestyle swimming action obtained waveform and the obtained waveform of breaststroke action, be provided with respectively and be stored in the freestyle and breast stroke memory element in the swimming signature waveform memorizer classification, when swimming for the second time, the multifunctional movement quantifier compares waveform of gathering and the various motion feature waveforms that are stored in the memorizer, from the variation characteristic of waveform, (increase or subtract in basic ratio) as the waveform value, automatically identify type of sports and metering exercise intensity, and the size of exercise intensity, the frequency when moving according to user, the amplitude (maximum deviation value) of motion, heart rate during motion is weighed the relative motion amount of user.Because may there be the warm-up process before the motion in user before motion, thus with memorizer in type of sports signature waveform sample waveform relatively, be designed to delay a few minutes, compare to take effective waveform.
Technical scheme: motion quantizes watch, battery quantizes the watch power supply for motion by gauge tap, button is used for the selection of data processor function and the input of data, the signal output part of acceleration sensor, heart rate sensor and temperature sensor connects the signal input part of data collection processor, and data collection processor and memorizer constitute bidirectional data interaction, constitute bidirectional data interaction, constitute the one-way data transmission with display with communication module.
This utility model is compared with background technology, and the one, realized instructing the quantification of human body motion index according to the Human Physiology quantizating index, really accomplished useful body-building; The 2nd, realized according to the physical signs after the human motion, revise the body-building index of human body, reached the amount body and go, incremental body-building purpose.
Description of drawings
Fig. 1 is the basic block diagram that motion quantizes watch.
Fig. 2 is the sketch map that motion quantizes the workflow 1 of watch.
Fig. 3 is that motion quantizes the flow chart of data processing figure of watch under workflow 1.
Fig. 4 is the sketch map that motion quantizes the workflow 2 of watch.
Fig. 5 is that motion quantizes the flow chart of data processing figure of watch under workflow 2.
Fig. 6 is that the learning model of motion quantification watch is provided with sketch map.
Fig. 7 is that the learning model of motion quantification watch is provided with flow chart.
The specific embodiment
Embodiment 1: with reference to accompanying drawing 1.Motion quantizes watch, battery 107 is powered to data processor by gauge tap, button 108 is used for the selection of data processor function, the signal output part of acceleration sensor 100, heart rate sensor 101 and temperature sensor 102 connects the signal input part of data collection processor 106, and 103 of data collection processor 106 and memorizeies constitute two-way logical data interaction, constitute bidirectional data interaction, constitute one-way communication with display 105 with communication module 104; Described acceleration sensor 100 be meant the vertical two-dimentional acceleration sensor data processor of placing of three-dimensional acceleration sensor or two according to the motion menu information data to the processing of comparing of the 3 D stereo information of three-dimensional acceleration sensor or two vertical two-dimentional acceleration sensor inputs of placing; To the processing of comparing of the signal of heart rate sensor input.Be built in motion and quantize to contain in the watch motion information acquisition processing module, motor learning software module, data processing software module, menu adjustment software module, motion analysis process software module; Wherein the motion information acquisition processing module is responsible for the collection of movable information, filter, storage, the motor learning software module mainly is responsible for the study of type of sports and is determined, the data processing software module is responsible for analyzing and determining the type of motion, the intensity of motion, the motor process effect, comparison with motion menu, environment when menu is adjusted software and is responsible for moving immediately according to user is adjusted the exercise intensity of motion menu, and user motion optimal movement menu and suggestiveness suggestion are analyzed and derived to information material when motion analysis process software module was responsible for according to the data of individual's input and motion.
Embodiment 2: with reference to accompanying drawing 1～5.Motion quantizes the motion quantitative analysis method of watch, acceleration sensor, heart rate sensor is with the human motion master data that is collected, when user will be arranged on learning state, the motor behavior of user is by the movable information in the acquisition processing module collection motor process, data collection processor is handled through the comparison to the information waveform, to have and be deposited in the memorizer after eigenvalue gets the waveform selection, set up different eigenvalue waveforms during different type of sports can be provided with in different study and store in the memorizer, so that the eigenvalue waveform of automatic identification type of sports is provided;
After data collection processor carries out analyzing and processing with built-in motion analysis process software module by received human motion master data and the personal information that is stored in the user in the memorizer, work up best motion menu and be deposited in the memorizer, user can be inquired about by button, according to the menu prompt campaign, the data message of its motor process passes through acceleration sensor, heart rate sensor transfers to the data processing software module, through with the motion menu comparison process after, by the motion mode of display with the mode of the menu person that tells the user, whether quantity of motion reaches the menu requirement;
If do not reach requirement, then point out user also to need the menu that moves with the form of menu, when user has reached requiring of motion menu in motor process, then with LED prompting mode prompting user by display;
Performance through several menus of a couple of days, data processor is analyzed according to the exercise data of being put down in writing automatically, and require user to import corresponding physiological data, according to existing data, after handling by analysis, the motion menu of revision user, may increase and decrease certain action quantity of motion, change the motion mode of certain action, and revised motion menu informed user, user moves by amended menu, by that analogy, thus the amount of reaching body and go, incremental body-building;
If the user health does not belong to healthy scope, data processor is then reminded user by display in the mode of menu, according to the menu prompt campaign; When posture, the motion index of motion reached in the motion claimed range, data collection processor told by the mode (as LED) that shows what standard movement condition user goes out at this moment under.
Behind the user setting in motion, data processor is with the ambient temperature data of gathering, as the exercise intensity in the fine setting motion menu, to revise parameters optimization.
Motion by the study type of sports, software can be differentiated type of sports automatically, according to changes in heart rate, the amplitude of motion, the frequency of motor process, compare, calculate the intensity of motion, and can be according to the various motion inclinations power consumption coefficients conversion calories that human body consumed.
The personal information of user is meant age, sex, body weight, height, blood group, routine blood test, urine test information, disease information.
The basis of compilation of motion menu be according to the individual type of sports, quantity of motion, the heart rate of motor process and the curve of exercise intensity, the situation of physiological change----body weight, routine blood test, routine urinalysis is determined and realize in this motion quantizes watch, can be by the mode of radio communication,, be forwarded to motion and quantize to realize in the watch by mobile phone by service end.
Different type of sports can be realized metering with different metering methods, can convert out the consumption of equivalent.
Data processor can point out user to move all sidedly according to the single type of sports of user, does the motion of some other types, so that the user development in an all-round way.
With reference to accompanying drawing 2,3.Motion quantitative analysis watch is in start, by wireless interface mode AutoLink mobile phone, from the mobile phone-downloaded motion menu and the suggestion on the same day, the information of downloading is saved in data storage, the content that user can be consulted memorizer at any time shows on display, the temperature sensor meeting timing acquiring real-time temperature data of motion quantitative analysis watch, and motion menu revised, and be saved in data storage.
User is taken exercise with reference to the motion menu setting in motion, and user can select whether to enter learning model, if select not enter learning model, perhaps user does not elect and takes exercise with regard to setting in motion, and then system default is for denying.The motion beginning, motion quantitative analysis watch begins to gather the moving wave shape of user, because having usually, user does corresponding warm-up preparation before motion, so system is in the waveform while of record acquisition, the Wave data that postpones to gather among waveform sample and the data base compares, confirm the type of sports of user, system can periodically choose waveform sample according to imposing a condition and be analyzed, to confirm whether user keeps same type games.When motion quantitative analysis watch began to gather moving wave shape, heart rate sensor began to gather heart rate data, and the Wave data of collection, heart rate data all are kept at memorizer and preserve.The contrast motion menu, in conjunction with heart rate and the moving wave shape gathered, time, carry out date processing, (it is with reference to the user physical condition that the zone of the heart rate in the motion menu divides one in the heart rate zone that one side is stipulated according to motion menu, the normal cardiac rate scope that can bear, the 2nd, the reference man is under the varying strength motion, be converted into the material difference of heat and be presented as aerobic and anaerobic exercise, draw the heart rate range of aerobic and anaerobic exercise with this, the 3rd, with reference to the weather condition on the local same day, the last condition of setting according to user is such as fat-reducing, the exercise heart rate zone that requirements such as health care, analysis-by-synthesis provide.), if then green light is bright less than lower limit for the instant heart rate of motion,, adjust exercise intensity with the prompting user if then Huang etc. is bright then red etc. bright if exceed the given heart rate higher limit of motion menu in the given zone of motion menu.On the other hand, system can converse the heat of consumption according to quantity of motion, if reached the requirement of motion menu, green light can glimmer, and the prompting user has been finished the quantity of motion on the same day.Just do not finished motion if finish the motion menu on the same day, the quantity of motion that meeting system of system can convert and finish the same day is automatically searched for wireless network automatically, and data are sent on the mobile phone, saves the data in simultaneously among the data base and consults for user.
User is if carry out new type of sports, can reinstate the learning model of motion quantitative analysis watch, once selected or input motion type, just with reference to requiring setting in motion, motion quantitative analysis watch can be gathered moving wave shape by requirement is set, and will repeatedly occur, similarly, periodic waveform is kept among the data base for the signature waveform data of this new type of sports.In treating that same motion is carried out, data processor can extract moving wave shape the back and compare with signature waveform, and immediate type of sports signature waveform is its type of sports.
Embodiment 4: with reference to accompanying drawing 6,7.The start of motion quantitative analysis watch, working procedure, real-time temperature is gathered in temperature sensor, preserves data, and motion menu is revised.
User is taken exercise with reference to the motion menu setting in motion, and user can select whether to enter learning model, if select not enter learning model, perhaps user does not elect and just transfers the setting in motion exercise automatically to, and promptly system default is not.The motion beginning, motion quantitative analysis watch begins to gather the moving wave shape of user, because having usually, user does corresponding warm-up preparation before motion, so system is in the waveform while of record acquisition, the Wave data that postpones to gather among waveform sample and the data base compares, confirm the type of sports of user, system can periodically choose waveform sample according to imposing a condition and be analyzed, to confirm whether user keeps same type games.
When motion quantitative analysis watch began to gather moving wave shape, heart rate sensor began to gather heart rate data, and the Wave data of collection, heart rate data all are kept at memorizer and preserve.The contrast motion menu, in conjunction with heart rate and the moving wave shape gathered, time, carry out date processing, (it is with reference to the user physical condition that the zone of the heart rate in the motion menu divides one in the heart rate zone that one side is stipulated according to motion menu, the normal cardiac rate scope that can bear, the 2nd, the reference man is under the varying strength motion, be converted into the material difference of heat and be presented as aerobic and anaerobic exercise, draw the heart rate range of aerobic and anaerobic exercise with this, the 3rd, with reference to the weather condition on the local same day, the last condition of setting according to user is such as fat-reducing, the exercise heart rate zone that health care etc. requires analysis-by-synthesis to provide.), if then green light is bright less than lower limit for the instant heart rate of motion,, adjust exercise intensity with the prompting user if then Huang etc. is bright then red etc. bright if exceed the given heart rate higher limit of motion menu in the given zone of motion menu.On the other hand, system can converse the heat of consumption according to quantity of motion, if reached the requirement of motion menu, green light can glimmer, and the prompting user has been finished the quantity of motion on the same day.Just do not finished motion if finish the motion menu on the same day, system preserves exercise data, convert and the quantity of motion on accumulative total same day, be kept at the data base and consult for the user, and the reference frame that generates as a back motion menu and to the reference frame of user a period of time motion analysis.
This motion quantitative analysis watch can carry out the upgrading and the content update of program by USB interface, as new exercise data analytical model, the renewal of analytical method, guarantee the science of motion metering, analytical method, the user science to be provided, to meet the motion menu of himself condition.
Accompanying drawing 7 is setting up procedure of learning model.User enters learning model, and multi-functional quantifier can show that conventional type of sports selects for the user, and user can be selected existing type of sports, also can manually import in the tabulation non-existent type of sports shown in step 724.User is selected a kind of type of sports, exist different forms freestyle swimming, breaststroke, butterfly stroke, backstroke to be arranged as this type of sports such as the kind of swimming, then further select concrete forms of motion, if do not have this type games in the tabulation, then can manually import concrete motion title, shown in step 716,723.
Accompanying drawing 6 is motion quantitative analysis watch learning state operation interface figure.At first start enters learning model, and step 606-607 selects the type of sports of study, after the affirmation, motion quantitative analysis watch prompting user setting in motion, system begins to gather motion characteristic data, setting-up time is finished to promptly gathering, and preserves data, and then the motion feature waveform of freestyle swimming is set up.
What need understand is: though the foregoing description is to this utility model detailed text description of contrasting; but these text descriptions; it is simple description to this utility model mentality of designing; rather than to the restriction of this utility model mentality of designing; any innovation and creation that do not exceed in this utility model connotation all fall into protection domain of the present utility model.
Claims (3)
1, a kind of motion quantizes watch, battery quantizes the watch power supply for motion by gauge tap, button is used for the selection of data processor function and the input of data, it is characterized in that: the signal output part of acceleration sensor, heart rate sensor and temperature sensor connects the signal input part of data collection processor, and data collection processor and memorizer constitute bidirectional data interaction, constitute bidirectional data interaction, constitute the one-way data transmission with display with communication module.
2, motion according to claim 1 quantizes watch, it is characterized in that: described acceleration sensor is meant three-dimensional acceleration sensor or two vertical two-dimentional acceleration sensors of placing.
3, motion according to claim 1 quantizes watch, it is characterized in that: data processor according to the motion menu information data to the processing of comparing of the 3 D stereo information of three-dimensional acceleration sensor or two vertical two-dimentional acceleration sensor inputs of placing; To the processing of comparing of the signal of heart rate sensor input.
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| Application Number | Priority Date | Filing Date | Title |
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| CNU2008201209673U CN201211185Y (en) | 2008-07-05 | 2008-07-05 | Motion quantization wrist watch |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNU2008201209673U CN201211185Y (en) | 2008-07-05 | 2008-07-05 | Motion quantization wrist watch |
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| CN201211185Y true CN201211185Y (en) | 2009-03-25 |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101518442B (en) * | 2008-07-05 | 2011-04-20 | 杭州义盛祥通信技术有限公司 | Sport quantization watch and sport quantitative analysis method |
| CN103328054A (en) * | 2011-01-28 | 2013-09-25 | 测量有限公司 | Removable handheld unit |
| CN103654759A (en) * | 2012-09-20 | 2014-03-26 | 卡西欧计算机株式会社 | Exercise information detecting apparatus and exercise information detecting method |
| CN104287327A (en) * | 2014-10-09 | 2015-01-21 | 广东小天才科技有限公司 | Method and device for reflecting motion state by virtue of sports bracelets |
| CN104490375A (en) * | 2014-12-19 | 2015-04-08 | 苏州大学 | Multifunctional intelligent swimming bracelet and physical condition monitoring method during swimming |
| CN104523259A (en) * | 2015-01-16 | 2015-04-22 | 中国地质大学（武汉） | Sports optical variation type heart rate monitoring glove |
| CN104814742A (en) * | 2015-05-06 | 2015-08-05 | 中国科学院深圳先进技术研究院 | Health wristwatch and working method thereof |
| CN105934740A (en) * | 2016-01-13 | 2016-09-07 | 张阳 | Method and system for storing motion data |
| CN105942677A (en) * | 2016-07-06 | 2016-09-21 | 张远海 | Smart bracelet capable of changing colors along with action frequency |
| CN109330606A (en) * | 2018-09-17 | 2019-02-15 | 武汉中奥互联科技有限公司 | A kind of strokes analysis method and system based on mobile device |
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2008
- 2008-07-05 CN CNU2008201209673U patent/CN201211185Y/en not_active Expired - Lifetime
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10254152B2 (en) | 2006-11-15 | 2019-04-09 | Measurement Ltd. | Removable handheld unit |
| CN101518442B (en) * | 2008-07-05 | 2011-04-20 | 杭州义盛祥通信技术有限公司 | Sport quantization watch and sport quantitative analysis method |
| CN103328054A (en) * | 2011-01-28 | 2013-09-25 | 测量有限公司 | Removable handheld unit |
| CN103654759A (en) * | 2012-09-20 | 2014-03-26 | 卡西欧计算机株式会社 | Exercise information detecting apparatus and exercise information detecting method |
| CN103654759B (en) * | 2012-09-20 | 2015-11-18 | 卡西欧计算机株式会社 | Movable information checkout gear and movable information detection method |
| CN104287327A (en) * | 2014-10-09 | 2015-01-21 | 广东小天才科技有限公司 | Method and device for reflecting motion state by virtue of sports bracelets |
| CN104490375A (en) * | 2014-12-19 | 2015-04-08 | 苏州大学 | Multifunctional intelligent swimming bracelet and physical condition monitoring method during swimming |
| CN104523259A (en) * | 2015-01-16 | 2015-04-22 | 中国地质大学（武汉） | Sports optical variation type heart rate monitoring glove |
| CN104814742A (en) * | 2015-05-06 | 2015-08-05 | 中国科学院深圳先进技术研究院 | Health wristwatch and working method thereof |
| CN105934740A (en) * | 2016-01-13 | 2016-09-07 | 张阳 | Method and system for storing motion data |
| CN105942677A (en) * | 2016-07-06 | 2016-09-21 | 张远海 | Smart bracelet capable of changing colors along with action frequency |
| CN109330606A (en) * | 2018-09-17 | 2019-02-15 | 武汉中奥互联科技有限公司 | A kind of strokes analysis method and system based on mobile device |
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