CN103079011A - Android smart phone-based multifunctional bodybuilder system - Google Patents
Android smart phone-based multifunctional bodybuilder system Download PDFInfo
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Abstract
The invention relates to an Android smart phone-based multifunctional bodybuilder system, which comprises four modules, i.e. an exercise plan customization module, a real-time exercise monitoring module, an exercise statistical module and a sharing module, wherein the exercise plan customization module provides a user registration function, and customizes a corresponding exercise plan according to the specific situations of a registered user; the real-time exercise monitoring module can identify three exercise modes of deep squat, dumbbell lifting and running, and also can convert the exercise amount and the exercise intensity of the user into consumed energy, and display the consumed energy to the user; the exercise statistical module makes statistics on the previous data of the user every other time when the user takes exercises for a certain period of time, evaluates the exercise condition of the user in the previous period of time, judges whether a scheduled target is reached or not, gives a comprehensive evaluation, and displays a statistical result to the user; and the sharing module is connected to a network in ways of wireless fidelity (WIFI), general packet radio service (GPRS) and the like. A plurality of exercise modes are simulated, so that the problem of no time or no bodybuilding equipment for the exercises of contemporary people is mainly solved.
Description
Technical field
The invention belongs to the portable terminal applied technical field, be specifically related to a kind of multi-gym system based on the Android smart mobile phone.
Background technology
At present, the operating system of smart mobile phone is varied, and the cell phone system that accounts for market share maximum be headed by the Google open mobile phone alliance (Open Handset Alliance---OHA) released in 2007 based on the Linux platform mobile phone operating system Android that increases income, Android provides the interface that much has much characteristic.Mainly comprise: sensing system (Sensor), speech recognition technology (Recognizer Intent), Google Map and be used for developing the plug-in unit (Widget) of desktop.Built-in a lot of sensor interfaces in the sensing system wherein, present Android mobile phone generally all can a built-in very practical acceleration sensor, it has been arranged, mobile phone is just supported the functions such as gravity sensing, direction judgement, and the horizontal screen of recognition screen, perpendicular screen direction change the screen display layout automatically in part game or software.Intelligent mobile phone terminal platform take Android as representative is with its powerful characteristic, the application of constantly expanding and deepening intelligent mobile phone terminal.
And in addition on the one hand, with the quickening pace of modern life and the increase of social pressures, in developed country and city, people's health has become a problem that can not be ignored, show in China, approximately have 15% people to be in health status according to interrelated data, 15% people is in unhealthy status, and 70% people is sub-health state.IT white collar personage particularly, the body kinematics wretched insufficiency, the brains overdraw adds permanent unhealthy emotion impact, causes large quantities of crowds' state in a healthy and balanced way to be broken, and is absorbed in sub-health state.Do not have simultaneously body-building apparatus yet or have no time to go to the fitness center to take exercises, therefore, the present invention is based on this and propose a multifunctional body-building software based on the Android smart mobile phone, be intended to the busy Colony Design Mobile phone application program of work.Allow the user after the work leisure, easily according to individual's health, set the re-set target of oneself, then automatically produce the timetable of exercise plan, use the built-in Gravity accelerometer of smart mobile phone can realize some simple exercises, as simulation lift the dumbbell, deep-knee-bend, sit-ups, running etc., the variation of gravity and acceleration when the perception mobile phone moves in 3 dimension spaces, carry out momental statistics is calculated the energy of actual consumption, and then health is assessed.Each exercise can be recorded in the diary automatically, also can with take exercise achievement deliver synchronously microblogging, everybody etc. social network sites, exchange with the good friend, realize mutual between the user.
Summary of the invention
The present invention is directed to modern people because busy life rhythm, do not have the not busy remaining time or do not have body-building apparatus to take exercises, a kind of multi-gym system based on the Android mobile phone is provided, has realized some simple exercising waies, such as simulation lift the dumbbell, deep-knee-bend, running etc.And the variation of gravity and acceleration when moving in 3 dimension spaces by mobile phone, carry out momental statistics is calculated the energy of actual consumption, and then health is assessed.And can carry out record to each exercise, share.
Innovative significance of the present invention has lower cost comparing with other body building method, need not other valuable body-building equipment, spend one's leisure and just can reach the purpose of taking exercises, and the mutual more dull exercise between the exercise plan of interesting man-machine interface, hommization, user has increased interest, thereby reaching residence practices in happy effect, allow the user in carefree process, improve gradually health, finally solve the inferior health problem.
Multi-gym system based on the Android mobile phone comprises following four modules: (1) exercise plan customized module: this module provides the function of user's registration, and according to a corresponding exercise plan of registered user's concrete condition customization, and prompting function is arranged.(2) temper the Real-Time Monitoring module: this module can be identified deep-knee-bend, three kinds of motion modes lift the dumbbell, run.The energy that can also convert user's amount of exercise and exercise intensity to consumption, and present to the user, be recorded to simultaneously in user's the database, generate exercise journal.(3) temper statistical module: every exercise through after a while, this module can be added up the data before the user, user's exercise situation is is for the previous period evaluated and tested, judge whether reach scheduled target, provide a comprehensive evaluation, and statistics presented to the user, and be written in the customer data base, revise the exercise time table for the user accordingly.(4) sharing module: this module can be passed through WIFI, and the modes such as GPRS are connected to network, exercise achievement that can the user is recent be updated to synchronously microblogging, everybody etc. social network sites, exchange experience with good friends.
Exercise Real-Time Monitoring module recited above can be identified deep-knee-bend, the three kinds of motion modes that lift the dumbbell, run, and the motion mode that wherein lifts the dumbbell has two kinds of recognition modes: (1) lifts the dumbbell 1: the curved act of crooking one's arm, mobile phone is held in the palm of the hand, and main screen is outwardly.Arm naturally droops, and before handheld mobile phone bent up to shoulder, upper arm was tried not mobile, then puts down gently, then constantly repeats above-mentioned action.When carrying out dumbbell pattern 1, what amplitude was larger is Z axis, X-axis and Y-axis then relative amplitude less (mobile phone is put in horizontal table top, and desktop level vertical with screen orientation be X-axis, consistent with screen orientation is Y-axis, vertical with desktop is Z axis).So Z axis as the monitoring axle, vector and as auxiliary judgment, two threshold values are set: wealthy family's limit value is made as 15m/s2, threshold ones is made as-5m/s2.Do not stop its data are judged, fall the ground threshold value unexpected moment of limit value a period of time once and keep a period of time if break through wealthy family, then with this motion as valid data, count value increases.(2) lift the dumbbell 2: horizontal side is lifted, and mobile phone is held in the palm of the hand, and main screen outwardly.Arm naturally droops, handheld mobile phone with arm side lift to the shoulder level, then palm puts down down gently, then constantly repeats above-mentioned action.When carrying out dumbbell pattern 2, X-axis and Z axis characteristics are relatively arranged, when X-axis peaks, Z axis touches the bottom simultaneously, according to these characteristics, with X-axis as the monitoring axle, Z axis helps auxiliary judgment, and it is 15m/s2 that wealthy family's limit value is set, and threshold ones is 4.5m/s2.Identify with the algorithm the same with pattern 1.
The deep-knee-bend motion mode has a kind of recognition mode: (1) deep-knee-bend pattern: mobile phone is put into pocket or hand held, and pausing when squatting down preferably is no more than one second, then stands up, and realizes once counting.Because when carrying out deep-knee-bend, the direction of mobile phone is uncertain, so just can not be with any axle as having monitored axle, so can only use three axles synthetic be vector with (
) judge, still use identical algorithm, with vector and high threshold ones be made as respectively 12m/s2,8m/s2.If vector and break through wealthy family's limit value is fallen the ground threshold value once and is kept a period of time after a period of time, then with this motion as valid data, count value increases.
The road-work mode has a kind of recognition mode: (1) running modes: mobile phone is empocketed, then begin to run.Adopted a kind of new algorithm here: by its vector and amplitude and frequency severe degree and the distance of inferring running.The formula of the distance of per second motion was as follows when estimation was run according to acceleration:
distance?=（aixs_amp?*?step_length?*?count）/?aixs_scale
Wherein, distance is the distance that per second is run, the m of unit.Aixs_amp is acceleration a=
Maximum in this 1 second deducts minimum value, i.e. the amplitude of acceleration, the m/s2 of unit.Step_length is user's step-length, the cm of unit.Count refers to that acceleration a in a second changes to the number of times of minimum from peak, can be understood as and run to get step number in the per second.Aixs_scale is a proportionality coefficient, and value can be 0.03-0.05.According to top formula, just a timer can be set in program, call the function that once calculates distance each second, constantly cumulative, the distance of just can real-time demonstration running.Detailed process is as follows: tempering selection interface selection motor pattern.Behind the setting in motion, open the Gravity accelerometer of embedded in mobile phone, constantly reading out data calls the motion recognition function, if satisfy this pattern then the counter increase, until the user arrives amount of exercise or manually presses the end movement buttons.
Beneficial effect of the present invention:
The multi-gym system based on the Android mobile phone that the present invention proposes has solved emphatically the problem that contemporary people is not free or body-building apparatus is taken exercises by the simulation to multiple exercising way.The present invention not only can take full advantage of the powerful computing capability of mobile phone self and various software and hardware resources take smart mobile phone as the platform development application program, and intelligent, hommization application is provided, and can also reduce the development and production cost, the expedite product listing.The user only need to download and install this application program, can not produce any electronic waste.Can not cause the wasting of resources and environmental pollution.The invention provides good operating experience, advocate green, environmental protection life idea, have certain economical, societal benefits.
Description of drawings
Fig. 1 is this system construction drawing;
The flow chart of Fig. 2 motion mode recognizer 1;
The flow chart of Fig. 3 motion mode recognizer 2.
Embodiment
Below in conjunction with accompanying drawing this system is described.As shown in Figure 1, this system mainly contains following module:
(1) exercise plan customized module: when the user registers, require the user to answer some simple questions, from problem, analyze user's the general level of the health, again according to the data of inputting before the user (comprising height and weight, work and rest custom, health etc.), automatically be the targeted exercise plan of a science of customization, generate the exercise time table, and the quarter-bell of exercise is arranged and temper prompting function.
(2) temper the Real-Time Monitoring module: system has customized the multiple motor pattern that presets: comprise lift the dumbbell, running, deep-knee-bend etc. are multiple.During the operation of every kind of motion mode, the numerical value of Gravity accelerometer is carried out dynamic sampling, to data analysis, if meet this motor pattern then this time action counts amount of exercise for effectively.Each time motion is analyzed this motion after finishing.Amount of exercise and exercise intensity are converted into the energy of consumption according to certain algorithm, present to the user take calorie as unit, and be recorded in user's the database, generate exercise journal.
(3) temper statistical module: every exercise through after a while, system can add up the data before the user, the before exercise of a period of time is evaluated and tested, judge whether reach scheduled target, to during this period of time exercise to an overall merit, with the interesting interface of close friend (showing active user's state such as the animation that utilizes various vivid and interestings), rationally chart (various exercise statistical forms, block diagram) is presented to the user intuitively, be written in the customer data base, and the user makes amendment to the exercise time table targetedly.
(4) sharing module: system can pass through WIFI, and the modes such as GPRS are connected to network, exercise achievement that can the user is recent be updated to synchronously microblogging, everybody etc. social network sites, exchange experience with good friends.
Exercise Real-Time Monitoring module recited above can be identified deep-knee-bend, the three kinds of motion modes that lift the dumbbell, run, and the motion mode that wherein lifts the dumbbell has two kinds of recognition modes: (1) pattern 1 that lifts the dumbbell: the curved act of crooking one's arm, mobile phone is held in the palm of the hand, and main screen is outwardly.Arm naturally droops, and before handheld mobile phone bent up to shoulder, upper arm was tried not mobile, then puts down gently, then constantly repeats above-mentioned action.When carrying out dumbbell pattern 1, what amplitude was larger is Z axis, X-axis and Y-axis then relative amplitude less (mobile phone is put in horizontal table top, and desktop level vertical with screen orientation be X-axis, consistent with screen orientation is Y-axis, vertical with desktop is Z axis).So Z axis as the monitoring axle, vector and as auxiliary judgment, two threshold values are set: wealthy family's limit value is made as 15m/s2, threshold ones is made as-5m/s2.Do not stop its data are judged, fall the ground threshold value unexpected moment of limit value a period of time once and keep a period of time if break through wealthy family, then with this motion as valid data, count value increases, its algorithm flow chart as shown in Figure 2.(2) pattern 2 that lifts the dumbbell: horizontal side is lifted, and mobile phone is held in the palm of the hand, and main screen outwardly.Arm naturally droops, handheld mobile phone with arm side lift to the shoulder level, then palm puts down down gently, then constantly repeats above-mentioned action.When carrying out dumbbell pattern 2, X-axis and Z axis characteristics are relatively arranged, when X-axis peaks, Z axis touches the bottom simultaneously, according to these characteristics, with X-axis as the monitoring axle, Z axis helps auxiliary judgment, and it is 15m/s2 that wealthy family's limit value is set, and threshold ones is 4.5m/s2.Identify with the algorithm the same with pattern 1, flow chart as shown in Figure 2.
The deep-knee-bend motion mode has a kind of recognition mode: (1) deep-knee-bend pattern: mobile phone is put into pocket or hand held, and pausing when squatting down preferably is no more than one second, then stands up, and realizes once counting.Because when carrying out deep-knee-bend, the direction of mobile phone is uncertain, so just can not be with any axle as having monitored axle, so can only use three axles synthetic be vector with (
) judge, still use identical algorithm, algorithm flow chart as shown in Figure 2, with vector and high threshold ones be made as respectively 12m/s2,8m/s2.If vector and break through wealthy family's limit value is fallen the ground threshold value once and is kept a period of time after a period of time, then with this motion as valid data, count value increases.
The road-work mode has a kind of recognition mode: (1) running modes: mobile phone is empocketed, then begin to run.Adopted a kind of new algorithm here: by its vector and amplitude and frequency severe degree and the distance of inferring running, algorithm flow chart is as shown in Figure 3.The formula of the distance of per second motion was as follows when estimation was run according to acceleration:
distance?=（aixs_amp?*?step_length?*?count）/?aixs_scale
Wherein, distance is the distance that per second is run, the m of unit.Aixs_amp is acceleration a=
Maximum in this 1 second deducts minimum value, i.e. the amplitude of acceleration, the m/s2 of unit.Step_length is user's step-length, the cm of unit.Count refers to that acceleration a in a second changes to the number of times of minimum from peak, can be understood as and run to get step number in the per second.Aixs_scale is a proportionality coefficient, and value can be 0.03-0.05.According to top formula, just a timer can be set in program, call the function that once calculates distance each second, constantly cumulative, the distance of just can real-time demonstration running.Detailed process is as follows: tempering selection interface selection motor pattern.Behind the setting in motion, open the Gravity accelerometer of embedded in mobile phone, constantly reading out data calls the motion recognition function, if satisfy this pattern then the counter increase, until the user arrives amount of exercise or manually presses the end movement buttons.
Claims (1)
1. based on the multi-gym system of Android smart mobile phone, it is characterized in that this system comprises following four modules: (1) exercise plan customized module: this module provides the function of user's registration, and according to a corresponding exercise plan of registered user's concrete condition customization, and prompting function is arranged; (2) temper the Real-Time Monitoring module: this module can be identified deep-knee-bend, three kinds of motion modes lift the dumbbell, run; The energy that can also convert user's amount of exercise and exercise intensity to consumption, and present to the user, be recorded to simultaneously in user's the database, generate exercise journal; (3) temper statistical module: every exercise through after a while, this module can be added up the data before the user, user's exercise situation is is for the previous period evaluated and tested, judge whether reach scheduled target, provide a comprehensive evaluation, and statistics presented to the user, and be written in the customer data base, revise the exercise time table for the user accordingly; (4) sharing module: this module can be passed through WIFI, and the GPRS mode is connected to network, exercise achievement that can the user is recent be updated to synchronously microblogging, everybody etc. social network sites, exchange experience with good friends;
The described motion mode that lifts the dumbbell has two kinds of recognition modes: (1) first pattern that lifts the dumbbell: the curved act of crooking one's arm, mobile phone is held in the palm of the hand, and main screen is outwardly; Arm naturally droops, and before handheld mobile phone bent up to shoulder, upper arm was tried not mobile, then puts down gently, then constantly repeats above-mentioned action; When carrying out first when lifting the dumbbell pattern, what amplitude was larger is Z axis, and X-axis and Y-axis then relative amplitude are less; Z axis as the monitoring axle, vector and as auxiliary judgment, two threshold values are set: wealthy family's limit value is made as 15m/s2, threshold ones is made as-5m/s2; Do not stop its data are judged, fall the ground threshold value unexpected moment of limit value a period of time once and keep a period of time if break through wealthy family, then with this motion as valid data, count value increases; (2) second patterns that lift the dumbbell: horizontal side is lifted, and mobile phone is held in the palm of the hand, and main screen outwardly; Arm naturally droops, handheld mobile phone with arm side lift to the shoulder level, then palm puts down down gently, then constantly repeats above-mentioned action; When carrying out second when lifting the dumbbell pattern, when X-axis peaked, Z axis touched the bottom simultaneously, and according to these characteristics, as the monitoring axle, Z axis helps auxiliary judgment with X-axis, and it is 15m/s2 that wealthy family's limit value is set, and threshold ones is 4.5m/s2; With identifying with the first the same algorithm of pattern that lifts the dumbbell;
The deep-knee-bend motion mode has a kind of recognition mode: mobile phone is put into pocket or hand held, and pausing when squatting down is no more than one second, then stands up, and realizes once counting; Use three axles synthetic be vector and (
) judge, with vector and high threshold ones be made as respectively 12m/s2,8m/s2; If vector and break through wealthy family's limit value is fallen the ground threshold value once and is kept a period of time after a period of time, then with this motion as valid data, count value increases;
The road-work mode has a kind of recognition mode: mobile phone is empocketed, then begin to run; Adopted a kind of new algorithm here: by its vector and amplitude and frequency severe degree and the distance of inferring running, range formula wherein is as follows:
distance?=（aixs_amp?*?step_length?*?count）/?aixs_scale
Wherein, distance is the distance that per second is run, the m of unit; Aixs_amp is acceleration a=
Maximum in this 1 second deducts minimum value, i.e. the amplitude of acceleration, the m/s2 of unit; Step_length is user's step-length, the cm of unit; Count refers to that acceleration a in a second changes to the number of times of minimum from peak, be interpreted as and run to get step number in the per second; Aixs_scale is a proportionality coefficient, and value is 0.03-0.05.
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| WO2015085800A1 (en) * | 2013-12-09 | 2015-06-18 | Tencent Technology (Shenzhen) Company Limited | Method, device and system for monitoring exercise activities |
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| CN105487656A (en) * | 2015-11-24 | 2016-04-13 | 小米科技有限责任公司 | Exercise data recording method and device |
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| CN106594797A (en) * | 2017-01-24 | 2017-04-26 | 青岛工学院 | Intelligent electronic smoking quitting lighter for assisting in smoking quitting and use method |
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| CN106156462A (en) * | 2015-04-01 | 2016-11-23 | 时云医疗科技（上海）有限公司 | A kind of behavioural information method for pushing based on sign data and system |
| CN105487656A (en) * | 2015-11-24 | 2016-04-13 | 小米科技有限责任公司 | Exercise data recording method and device |
| CN105487656B (en) * | 2015-11-24 | 2018-09-18 | 小米科技有限责任公司 | Exercise data recording method and device |
| WO2017214926A1 (en) * | 2016-06-16 | 2017-12-21 | 深圳市屹石科技股份有限公司 | Execution device and method for fitness program visualization |
| CN106594797A (en) * | 2017-01-24 | 2017-04-26 | 青岛工学院 | Intelligent electronic smoking quitting lighter for assisting in smoking quitting and use method |
| CN107213596A (en) * | 2017-06-29 | 2017-09-29 | 沈建伟 | Backpack deep-squatting pulling-force exerciser material |
| CN107213595A (en) * | 2017-06-29 | 2017-09-29 | 沈建伟 | Belt type deep-squatting pulling-force exerciser |
| CN110809489A (en) * | 2017-07-05 | 2020-02-18 | 索尼公司 | Information processing apparatus, information processing method, and program |
| CN110809489B (en) * | 2017-07-05 | 2021-09-03 | 索尼公司 | Information processing apparatus, information processing method, and storage medium |
| CN111450483A (en) * | 2020-04-01 | 2020-07-28 | 随机漫步(上海)体育科技有限公司 | Method for assisting bicycle training, readable storage medium and electronic device |
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