CN104814791B - Health index obtaining method based on mobile terminal, system, and mobile terminal - Google Patents
Health index obtaining method based on mobile terminal, system, and mobile terminal Download PDFInfo
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Abstract
The invention provides a health index obtaining method based on a mobile terminal, a system, and the mobile terminal. The method specifically comprises the steps: calculating the step grade of a user at the very day through the mobile terminal according to the obtained height and actual weight of the user and the total step number of the user at the very day; calculating sitting grade of the user at the very day through the mobile terminal according to the number, recorded in real time, of sitting times of the user at the very day; calculating sleeping grade of the user at the very day through the mobile terminal according to the sleeping duration, recorded in real time, of the user at the very day; and finally calculating the health combined grade of the user at the very day according to the calculated step grade, sitting grade and the sleeping grade of the user at the very day, and outputting the health index of the user at the very day according to the health combined grade of the user at the very day. According to the invention, the excessive consumption of the electricity of a cellphone is prevented, and the invention provides a complete precise mode of acquiring the health index, thereby providing convenience to the user.
Description
Technical field
The present invention relates to technical field of mobile terminals, more particularly to a kind of health index acquisition side based on mobile terminal
Method, system and mobile terminal.
Background technology
With the development and the continuous improvement of people's living standard of mobile communication, the use of various mobile terminals such as mobile phone is got over
More to popularize, mobile phone has become indispensable means of communication in people's life.Generally using solid in mobile phone in prior art
Some 3-axis acceleration sensors obtain the kinematic parameter of user, so as to understand motion and the health condition of user.But three axles
Acceleration transducer may be produced a very large impact for different types of hardware and the realization of driving to Monitoring Data, be caused
As a result forbidden；And it is higher to the computational algorithm complexity of health condition in prior art, operand is larger, easily consumes mobile phone
More electricity, is unfavorable for the use of user.
It follows that prior art has yet to be improved and developed.
The content of the invention
The technical problem to be solved in the present invention is, for the drawbacks described above of prior art, there is provided one kind is based on mobile whole
The health index acquisition methods at end, system and mobile terminal, it is intended to overcome by the present invention and lack more than present in prior art
Fall into, both avoided consuming mobile phone electricity too much, be that user uses mobile terminal provides convenient, can provide again and a kind of accurately be good for
Health index acquisition modes, are easy to user to understand the health status of oneself in time.
The technical proposal for solving the technical problem of the invention is as follows：
A kind of health index acquisition methods based on mobile terminal, wherein, including step：
The step number total value on foot on S1, the height values of acquisition for mobile terminal user, ABW value and user's same day, and
The fractional value on foot on user's same day is calculated according to the total value of step number on foot on the height values, body weight value and the same day；
S2, mobile terminal detect user and remain static within the first sampling time, then the real time record user same day
Sitting number of times, and according to the sitting number of times on the same day calculate user's same day sitting fractional value；
S3, mobile terminal detect user within the second sampling time and are in sleep state, then the real time record user same day
Sleep duration, and the sleep fractional value on the sleep duration calculation user's same day according to user's same day；
S4, the fractional value on foot on user's same day according to calculating, the sitting fractional value on user's same day and user work as
It sleep fractional value calculates the healthy composite score on user's same day, and is exported according to the healthy composite score on user's same day
The health index on user's same day.
The described health index acquisition methods based on mobile terminal, wherein, step S1 specifically includes step：
S11, one is preset in the terminal for detecting the detection cycle of user's same day state, user's same day
State includes：Inactive state, ambulatory status, motion state and sleep state；
S12, the height values and ABW value that obtain user, and according to calculating formula：(height values -100) * 0.9 are calculated
The standard body weight values of user；
S13, pre-set in the terminal and store expection step Numerical on foot, and according to calculating formula：It is expected on foot
Step Numerical *（1+k）The target step Numerical on foot of user is calculated, the computing formula of wherein parameter k is：K=(| ABW value-mark
Quasi- body weight value |)/standard body weight values；
S14, the step number total value on foot that user's same day is obtained according to the detection cycle；
S15, according to calculating formula：（The total value of the step number on foot/target on same day step Numerical on foot）* 100 calculate user's same day
Fractional value A and carry out storage output on foot.
The described health index acquisition methods based on mobile terminal, wherein, step S14 specifically includes step：
S141, one is preset in the terminal for gathering the sample frequency of user's acceleration information；
If S142, detect under default sample frequency gather user's acceleration information be 128, according to described
User's acceleration information of collection judges the current state of user；
If the current state of S143, the user is motion state/ambulatory status, by user's acceleration of the collection
Data carry out positive Fourier transformation, and obtain peak frequency MaxF；
S144, judge within frequency ranges of the peak frequency MaxF whether in specifying, if the frequency in specifying
Within the scope of, then the data of [MaxF-1, MaxF+1] in frequency domain are carried out into inverse Fourier transform；
S145, judge with the presence or absence of valley value in the data field of the inverse Fourier transform, if existing, by the number
1 step, and real time record step Numerical are labeled as according to two troughs of the time interval in domain for 200ms；
S146, if the current state of user is detected still for motion state, and the step Numerical reaches 10 steps, then remember in real time
The current step number total value in family is employed, execution step S143 is returned；
If S147, conversely, detect the current state change of user for ambulatory status, the current step of real time record user
Number total value, returns execution step S143.
The described health index acquisition methods based on mobile terminal, wherein, step S2 specifically includes step：
S21, set for the first sampling time in the terminal in advance；
If S22, detecting user inactive state being in the detection cycle, symbolization 0 is marked；It is no
Then, symbolization 1 is marked；
If S23, detecting and continuous N symbol 0 occur within first sampling time, 1 sitting is recorded as, its
Middle M=60/ detection cycles；
S24, the sitting number of times on real time record user's same day, and according to calculating formula：（1- sittings number of times/8）* 100 calculate use
The sitting fractional value B on the family same day simultaneously carries out storage output.
The described health index acquisition methods based on mobile terminal, wherein, step S3 specifically includes step：
S31, in advance the second sampling time and standard sleep time period are set in the terminal；
If S32, detecting user sleep state being in the detection cycle, symbolization 0 ' is marked；
Otherwise, symbolization 1 ' is marked；
The number of S33, statistical symbol 0 ', and according to calculating formula：（The number of symbol 0 '）* detection cycle/60 calculate user
Sleep duration UL within second sampling time；
S34, according to sleep duration UL and default first mapping ruler obtain user not in the standard sleep time period
Sleep duration SL, and according to calculating formula：（SL/8）The * 100 sleep length fraction S1 for calculating user；
S35, the second mapping ruler is set according to sleep duration UL, second mapping ruler is used to recording user's sleep every
Interrupt once, then k point is deducted, according to calculating formula：（UL/8）*100-（8-UL）* k calculates the length of one's sleep fraction S2 of user；
S36, according to calculating formula：（S1+ S2）The sleep fractional value C on/2 calculating user's same day simultaneously carries out storage output.
The described health index acquisition methods based on mobile terminal, it is characterised in that step S4 specifically includes step
Suddenly：
S41, the A of fractional value on foot, the sitting fractional value B on user's same day and user's same day that user's same day is obtained respectively
Sleep fractional value C, and according to calculating formula：（（A+B+C）/300）The * 100 healthy composite score for calculating user's same day；
S42, the healthy composite score on user's same day for calculating is compared with the health standards value for prestoring,
Obtain the health index on user's same day and export.
A kind of health index based on mobile terminal obtains system, wherein, including：
On foot fractional value computing module, works as the height values of acquisition for mobile terminal user, ABW value and user
It step number total value on foot, and user's same day is calculated according to the total value of step number on foot on the height values, body weight value and the same day
Fractional value on foot；
Sitting fractional value computing module, user is detected in static shape for mobile terminal within the first sampling time
State, the then sitting number of times on the real time record user same day, and the sitting for calculating user's same day according to the sitting number of times on the same day divides
Numerical value；
Sleep fractional value computing module, user is detected in sleep shape for mobile terminal within the second sampling time
State, then the sleep duration on the real time record user same day, and sleeping according to sleep duration calculation user's same day on user's same day
Dormancy fractional value；
Health index output module, for according to the long of the fractional value on foot on user's same day, user's same day for calculating
The sleep fractional value for sitting fractional value and user's same day calculates the healthy composite score on user's same day, and is worked as according to the user
It healthy composite score exports the health index on user's same day.
The health index based on mobile terminal obtains system, wherein, the computing module of fractional value on foot includes：
Detection cycle presets unit, is used to detect the detection of user's same day state for presetting one in the terminal
Cycle, user's same day state includes：Inactive state, ambulatory status, motion state and sleep state；
SBW computing unit, for obtaining the height values and ABW value of user, and according to calculating formula：(height
Value -100) * 0.9 calculate user standard body weight values；
Target step number computing unit on foot, for pre-setting in the terminal and stores expection step Numerical on foot,
And according to calculating formula：Expected step Numerical * on foot（1+k）The target step Numerical on foot of user is calculated, the wherein calculating of parameter k is public
Formula is：K=(| ABW value-standard body weight values |)/standard body weight values；
Step number total value acquiring unit on foot, for obtaining the step number total value on foot on user's same day according to the detection cycle；
Fractional value computing unit on foot, for according to calculating formula：（The total value of the step number on foot/target on same day step number on foot
Value）* the A of fractional value on foot on 100 calculating user's same day simultaneously carries out storage output；
The total value acquiring unit of step number on foot is further included：
Sample frequency presets subelement, for presetting one in the terminal for gathering user's acceleration information
Sample frequency；
Acceleration information gathers subelement, if accelerating the number of degrees for detecting the user gathered under default sample frequency
According to for 128, then the current state of user is judged according to user's acceleration information of the collection；
Positive Fourier transformation subelement, if being motion state/ambulatory status for the current state of the user, will
User's acceleration information of the collection carries out positive Fourier transformation, and obtains peak frequency MaxF；
Inverse Fourier transform subelement, for judge frequency ranges of the peak frequency MaxF whether in specifying it
It is interior, if within the frequency range in specifying, the data of [MaxF-1, MaxF+1] in frequency domain are carried out into reverse Fourier
Conversion；
Step Numerical real time record subelement, for whether there is trough in the data field for judging the inverse Fourier transform
Two troughs of the time interval in the data field for 200ms, if existing, are labeled as 1 step, and real time record step number by value
Value；
Same day step number total value records subelement, if it is still motion state for detecting the current state of user, and it is described
Step Numerical reaches 10 steps, then the current step number total value of real time record user, returns execution step S143；If conversely, detecting use
The current state change in family is ambulatory status, then the current step number total value of real time record user, returns execution step S143.
The health index based on mobile terminal obtains system, wherein, the sitting fractional value computing module includes：
First sampling time preset unit, for setting for the first sampling time in the terminal in advance；
Inactive state indexing unit, if being in inactive state in the detection cycle for detecting user, adopts
It is marked with symbol 0；Otherwise, symbolization 1 is marked；
Sitting number recording unit, if there is continuous N symbol 0 within first sampling time for detecting,
It is recorded as 1 sitting, wherein M=60/ detection cycles；
Sitting fractional value statistic unit, for the sitting number of times on real time record user's same day, and according to calculating formula：（1- is long
Order of seats number/8）* the sitting fractional value B on 100 calculating user's same day simultaneously carries out storage output；
The sleep fractional value computing module also includes：
Second sampling time preset unit, during for setting the second sampling time and standard sleep in the terminal in advance
Between section；
Sleep state indexing unit, if being in sleep state in the detection cycle for detecting user, adopts
It is marked with symbol 0 '；Otherwise, symbolization 1 ' is marked；
Sleep duration calculation unit, for the number of statistical symbol 0 ', and according to calculating formula：（The number of symbol 0 '）* examine
Survey cycle/60 calculate sleep duration UL of the user within second sampling time；
Sleep length score calculating unit, for obtaining user according to sleep duration UL and default first mapping ruler
Not in the sleep duration SL of standard sleep time period, and according to calculating formula：（SL/8）The * 100 sleep length fractions for calculating user
S1；
Length of one's sleep score calculating unit, for arranging the second mapping ruler, second mapping according to sleep duration UL
Rule is often interrupted once for recording user's sleep, then k point is deducted, according to calculating formula：（UL/8）*100-（8-UL）* k is calculated and used
The length of one's sleep fraction S2 at family；
Sleep fractional value statistic unit, for according to calculating formula：（S1+ S2）/ 2 sleep fractional value C for calculating user's same day
And carry out storage output；
The health index output module includes：
Healthy composite score computing unit, for obtaining the A of fractional value on foot, the sitting on user's same day on user's same day respectively
The fractional value B and sleep fractional value C on user's same day, and according to calculating formula：（（A+B+C）/300）* 100 calculate user's same day
Healthy composite score；
Compare output unit, for the healthy composite score on the user's same day for calculating and the health for prestoring to be marked
Quasi- value is compared, and obtains the health index on user's same day and exports.
A kind of mobile terminal, wherein, obtain system including the health index based on mobile terminal as above.
It is provided by the present invention a kind of based on the health index acquisition methods of mobile terminal, system and mobile terminal, it is described
Method is specifically included：The step number total value on foot of the height values, ABW value and user's same day of acquisition for mobile terminal user,
And the fractional value on foot on user's same day is calculated according to the total value of step number on foot on the height values, body weight value and the same day；It is mobile whole
End detects user and remains static within the first sampling time, then the sitting number of times on the real time record user same day, and according to
The sitting number of times on the same day calculates the sitting fractional value on user's same day；Mobile terminal detects user within the second sampling time
In sleep state, then the sleep duration on the real time record user same day, and used according to the sleep duration calculation on user's same day
The sleep fractional value on the family same day；According to the fractional value on foot on user's same day, the sitting fractional value on user's same day for calculating, with
And the sleep fractional value on user's same day calculates the healthy composite score on user's same day, and the health according to user's same day is comprehensive
Fraction exports the health index on user's same day.The present invention is easy to user to understand oneself fortune of one day according to fraction computational algorithm on foot
Momentum, is easy to user to understand oneself sitting situation of one day consequently facilitating user gives up sitting according to sitting fraction computational algorithm
Bad habit, while being easy to user to understand the sleep state of oneself hence for dyssomnia according to sleep fraction computational algorithm
Situation；The present invention had both avoided consumption mobile phone electricity too much, and obtained there is provided a kind of accurately health index in all directions
Mode, provides users with the convenient.
Description of the drawings
Fig. 1 is flow chart of the present invention based on the preferred embodiment of the health index acquisition methods of mobile terminal.
Fig. 2 is on foot step number calculation flow chart of the present invention based on the health index acquisition methods of mobile terminal.
Fig. 3 is the functional block diagram of the preferred embodiment that health index of the present invention based on mobile terminal obtains system.
Specific embodiment
The invention discloses it is a kind of based on the health index acquisition methods of mobile terminal, system and mobile terminal, to make this
The purpose of invention, technical scheme and advantage are clearer, clear and definite, the embodiment that develops simultaneously referring to the drawings to it is of the invention further in detail
Describe in detail bright.It should be appreciated that specific embodiment described herein is not intended to limit the present invention only to explain the present invention.
Fig. 1 is referred to, Fig. 1 is flow process of the present invention based on the preferred embodiment of the health index acquisition methods of mobile terminal
Figure.The health index acquisition methods based on mobile terminal shown in Fig. 1, including：
The step number on foot on step S101, the height values of acquisition for mobile terminal user, ABW value and user's same day is total
Value, and the fractional value on foot on user's same day is calculated according to the total value of step number on foot on the height values, body weight value and the same day.
In the embodiment of the present invention, step S101 specifically includes step：
S11, one is preset in the terminal for detecting the detection cycle of user's same day state, user's same day
State includes：Inactive state, ambulatory status, motion state and sleep state；
S12, the height values and ABW value that obtain user, and according to calculating formula：(height values -100) * 0.9 are calculated
The standard body weight values of user；
S13, pre-set in the terminal and store expection step Numerical on foot, and according to calculating formula：It is expected on foot
Step Numerical *（1+k）The target step Numerical on foot of user is calculated, the computing formula of wherein parameter k is：K=(| ABW value-mark
Quasi- body weight value |)/standard body weight values；
S14, the step number total value on foot that user's same day is obtained according to the detection cycle；
S15, according to calculating formula：（The total value of the step number on foot/target on same day step Numerical on foot）* 100 calculate user's same day
Fractional value A and carry out storage output on foot.
Further, step S14 specifically includes step：
S141, one is preset in the terminal for gathering the sample frequency of user's acceleration information；
If S142, detect under default sample frequency gather user's acceleration information be 128, according to described
User's acceleration information of collection judges the current state of user；
If the current state of S143, the user is motion state/ambulatory status, by user's acceleration of the collection
Data carry out positive Fourier transformation, and obtain peak frequency MaxF；
S144, judge within frequency ranges of the peak frequency MaxF whether in specifying, if the frequency in specifying
Within the scope of, then the data of [MaxF-1, MaxF+1] in frequency domain are carried out into inverse Fourier transform；
S145, judge with the presence or absence of valley value in the data field of the inverse Fourier transform, if existing, by the number
1 step, and real time record step Numerical are labeled as according to two troughs of the time interval in domain for 200ms；
S146, if the current state of user is detected still for motion state, and the step Numerical reaches 10 steps, then remember in real time
The current step number total value in family is employed, execution step S143 is returned；
If S147, conversely, detect the current state change of user for ambulatory status, the current step of real time record user
Number total value, returns execution step S143.
The total value computation rule of step number on foot on user's same day, is illustrated below in the embodiment of the present invention：Pre-set use
It is 10min in the detection cycle of detection user's same day state, i.e., the state of user, the state bag of the user is detected per 10 minutes
Include：Inactive state, ambulatory status, motion state and sleep state.Further presetting one is used to gather user's acceleration information
Sample frequency be 50 data per second, i.e., per 20ms gather one group of acceleration information（Wherein, variable x,
Y, z represent respectively the data value in acceleration x-axis, y-axis, z-axis）.Judge whether system collects 128 groups of acceleration informations, if
128 groups are reached, then the current state of user has been determined whether according to described acceleration information.User under original state
State is inactive state, only when acceleration value change more than 1m/s2, then it is switched to motion state.
If detecting user to be kept in motion, using positive Fourier transformation, by 128 points（It is i.e. corresponding 128 groups
Acceleration information）Oscillogram be transformed into frequency domain, while obtain peak frequency MaxF（That is dominant frequency）.Due to walking for normal person
Frequency is in in the range of [0.5,5] Hz, if therefore detecting the models of the peak frequency MaxF in [0.5,5] Hz of acquisition
In enclosing, then further the data of [MaxF-1, MaxF+1] in frequency domain are carried out into inverse Fourier transform, now by data from
Frequency domain is transformed into time domain, and time domain waveform now has been uniform waveform.Determine whether whether deposited in time domain waveform
In valley value, if existing, two troughs that time interval in the data field is [0.2,2] s are obtained.Preferably, will be described
Time interval is labeled as 1 step for two troughs of 200ms in data field, repeats above procedure, until the mark of real-time accumulation reaches
To 10 steps, now the step Numerical of record is reported to into system, then switch to ambulatory status.If it find that dominant frequency MaxF or shaking
Width is crossed after predefined restriction, then be switched to inactive state.
If detecting user in ambulatory status, according to the computation rule of motion state, both only difference is that：Step
Row state is often accumulated and reaches 1 step and can all report to system, it is not necessary to have reached 10 steps.
Step S102, mobile terminal detect user and remain static within the first sampling time, then real time record is used
The sitting number of times on the family same day, and the sitting fractional value on user's same day is calculated according to the sitting number of times on the same day.
In the embodiment of the present invention, step S102 specifically includes step：
S21, set for the first sampling time in the terminal in advance；
If S22, detecting user inactive state being in the detection cycle, symbolization 0 is marked；It is no
Then, symbolization 1 is marked；
If S23, detecting and continuous N symbol 0 occur within first sampling time, 1 sitting is recorded as, its
Middle M=60/ detection cycles；
S24, the sitting number of times on real time record user's same day, and according to calculating formula：（1- sittings number of times/8）* 100 calculate use
The sitting fractional value B on the family same day simultaneously carries out storage output.
That is, the embodiment of the present invention sets the 9 of the first sampling time as the working day Mon-Fri of sitting number of times:00
a.m-12:00 a.m and 14:00 p.m-18:The two time periods of 00 p.m.If in the first sampling time of here section, detecting
User's no motion in 10min, or remain static, then it is marked with symbol 0；Otherwise, symbolization 1 enters rower
Note.If detecting continuous 6 symbols 0 of appearance（That is 60min/10min）, then it is labeled as 1 sitting.Count all of sitting time
Number, and according to calculating formula：（1- sittings number of times/8）* the sitting fractional value on 100 calculating user's same day simultaneously carries out storage output.
Step S103, mobile terminal detect user within the second sampling time and are in sleep state, then real time record is used
The sleep duration on the family same day, and the sleep fractional value on the sleep duration calculation user's same day according to user's same day.
In the embodiment of the present invention, step S103 specifically includes step：
S31, in advance the second sampling time and standard sleep time period are set in the terminal；
If S32, detecting user sleep state being in the detection cycle, symbolization 0 ' is marked；
Otherwise, symbolization 1 ' is marked；
The number of S33, statistical symbol 0 ', and according to calculating formula：（The number of symbol 0 '）* detection cycle/60 calculate user
Sleep duration UL within second sampling time；
S34, according to sleep duration UL and default first mapping ruler obtain user not in the standard sleep time period
Sleep duration SL, and according to calculating formula：（SL/8）The * 100 sleep length fraction S1 for calculating user；
S35, the second mapping ruler is set according to sleep duration UL, second mapping ruler is used to recording user's sleep every
Interrupt once, then k point is deducted, according to calculating formula：（UL/8）*100-（8-UL）* k calculates the length of one's sleep fraction S2 of user；
S36, according to calculating formula：（S1+S2）The sleep fractional value C on/2 calculating user's same day simultaneously carries out storage output.
That is, the embodiment of the present invention sets second sampling time of the statistics length of one's sleep as 20:00 p.m-10:00 a.m, its
The sleep period of middle human body standard is 23:00 p.m-7:00 a.m, standard sleep length is 7-9 hours.The present invention is to implement
Example obtains data by acceleration transducerIf, in a in sleep threshold [0,1] m/s2It is interior, then table
Show that user is in sleep state, now symbolization 0 ' is marked；Otherwise, symbolization 1 ' is marked.Statistical symbol 0 '
Number, and according to calculating formula：（The number of symbol 0 '）* 10min/60min calculates user within second sampling time
Sleep duration UL.
Further set sleep duration UL and length not reflecting between the part SL of standard sleep length 7-9 hour of sleeping
Relation is penetrated, as shown in table 1.User is obtained not in the sleep duration value SL of standard sleep time period by the duration UL of sleeping, and root
According to calculating formula：（SL/8）The * 100 sleep length fraction S1 for calculating user.
Table 1
The mapping relations that further setting sleep duration UL and user's interruptions of sleep are deducted points between situation k value, such as the institute of table 2
Show.User's interruptions of sleep deduction of points situation k value is obtained by the duration UL that sleeps, and according to calculating formula：（UL/8）*100-（8-UL）*k
Calculate the length of one's sleep fraction S2 of user.
Table 2
According to the sleep length fraction S1 and the length of one's sleep fraction S2 of user of the user for being calculated, and combine calculating
Formula：（S1+ S2）The sleep fractional value on/2 calculating user's same day simultaneously carries out storage output.
Step S104, according to calculate the fractional value on foot on user's same day, the sitting fractional value on user's same day and
The sleep fractional value on user's same day calculates the healthy composite score on user's same day, and according to the healthy total score on user's same day
The health index on number output user's same day.
In the embodiment of the present invention, the health index output module includes：
Healthy composite score computing unit, for obtaining the A of fractional value on foot, the sitting on user's same day on user's same day respectively
The fractional value B and sleep fractional value C on user's same day, and according to calculating formula：（（A+B+C）/300）* 100 calculate user's same day
Healthy composite score；
Compare output unit, for the healthy composite score on the user's same day for calculating and the health for prestoring to be marked
Quasi- value is compared, and obtains the health index on user's same day and exports.
That is, the fraction in the embodiment of the present invention adopts hundred-mark system, by the healthy composite score on the user's same day for calculating
It is compared with the health standards value for prestoring, if calculating the healthy composite score on user's same day positioned at [60,70] point
It is interior, then the health index on user's same day is set to pass；If the healthy composite score for calculating user's same day is located at（70, 80]
In point, then the health index on user's same day is set as medium；If the healthy composite score for calculating user's same day is located at（80,
90] in dividing, then the health index for setting user's same day is good；If the healthy composite score for calculating user's same day is located at（90,
1000] in dividing, then the health index on user's same day is set as outstanding；If the healthy composite score for calculating user's same day is located at
[0, 60）It is interior, then the health index on user's same day is set to fail.By the health index acquisition methods of the present invention, user
Amount of exercise, sitting and the sleep quality on oneself same day can in real time be understood, so as in good time to work and rest be adjusted, give up not
Good habits and customs.
The computation rule of step number on foot of the present invention will be described further by specific Application Example below.Please join
According to Fig. 2, Fig. 2 is on foot step number calculation flow chart of the present invention based on the health index acquisition methods of mobile terminal.Such as Fig. 2 institutes
Show, including step：
S40, pre-set a sample rate.
S41, collection x, y, z-axis acceleration information calculates accekeration。
S42, judge whether to collect 128 data, if so, then enter step S43, otherwise, return to step S41 continues to adopt
Collection acceleration information.
S43, judge the current state of user.
The state of user is inactive state under S44, original state.
S45, the change of the value of acceleration are more than 1m/s2, then into step S46, it is switched to motion state.
S46, detect user and be kept in motion.
S47, the positive Fourier transformation (positive FTT) of employing, by 128 points（I.e. corresponding 128 groups of acceleration informations）'s
Oscillogram is transformed into frequency domain, while obtaining peak frequency MaxF（That is dominant frequency）.
S48, the scope for judging walk frequency [0.5,5] Hzs of the peak frequency MaxF for obtaining whether in normal person
It is interior, if so, then enter step S49；Otherwise, return to step S46.
S49, further the data of [MaxF-1, MaxF+1] in frequency domain are carried out into inverse Fourier transform (reversely
FTT), now data are transformed into into time domain waveform from frequency domain.
S50, determine whether in time domain waveform with the presence or absence of valley value, if existing, into step S51；Otherwise, return
Step S46.
If S51, there is valley value, judge whether the time interval between two troughs is in as in [0.2,2] s.It is preferred that
Ground, the time interval is 200ms；If so, step S52, otherwise, return to step S46 are then entered.
S52, two troughs by time interval in the data field for 200ms are labeled as 1 step.
S53, judge whether current state is still motion state, if so, then enter step S54；Otherwise, into step
S56。
S54, determine whether real-time accumulation mark whether reach 10 steps, if so, then enter step S55；Otherwise, return
Step S46.
S55, user is detected in ambulatory status.
S56, the real-time step Numerical of statistics is reported to system and preserved.
Therefore, the present invention is easy to user to understand oneself amount of exercise of one day according to fraction computational algorithm on foot, according to
Sitting fraction computational algorithm is easy to user to understand oneself sitting situation of one day consequently facilitating user gives up the bad habit of sitting,
Be easy to user to understand situation of the sleep state hence for dyssomnia of oneself according to sleep fraction computational algorithm simultaneously, can and
Shi Faxian and treated as soon as possible；The present invention had both avoided consumption mobile phone electricity too much, and there is provided a kind of in all directions accurate
Health index acquisition modes, provide users with the convenient.
Based on above-described embodiment, the present invention also provides a kind of health index based on mobile terminal and obtains system, such as Fig. 3 institutes
Show, including：
Fractional value computing module 100 on foot, for the height values of acquisition for mobile terminal user, ABW value, Yi Jiyong
The step number total value on foot on the family same day, and worked as according to the total value of step number on foot on the height values, body weight value and same day calculating user
It fractional value on foot；As detailed above.
Sitting fractional value computing module 200, user is detected in static for mobile terminal within the first sampling time
State, then the sitting number of times on the real time record user same day, and the sitting on user's same day is calculated according to the sitting number of times on the same day
Fractional value；As detailed above.
Sleep fractional value computing module 300, user is detected in sleep for mobile terminal within the second sampling time
State, then the sleep duration on the real time record user same day, and according to sleep duration calculation user's same day on user's same day
Sleep fractional value；As detailed above.
Health index output module 400, for according to the fractional value on foot on user's same day, user's same day for calculating
The sleep fractional value on sitting fractional value and user's same day calculates the healthy composite score on user's same day, and according to the user
The healthy composite score on the same day exports the health index on user's same day；As detailed above.
Further, the computing module of fractional value on foot 100 includes：
Detection cycle presets unit, is used to detect the detection of user's same day state for presetting one in the terminal
Cycle, user's same day state includes：Inactive state, ambulatory status, motion state and sleep state；Concrete as above institute
State.
SBW computing unit, for obtaining the height values and ABW value of user, and according to calculating formula：(height
Value -100) * 0.9 calculate user standard body weight values；As detailed above.
Target step number computing unit on foot, for pre-setting in the terminal and stores expection step Numerical on foot,
And according to calculating formula：Expected step Numerical * on foot（1+k）The target step Numerical on foot of user is calculated, the wherein calculating of parameter k is public
Formula is：K=(| ABW value-standard body weight values |)/standard body weight values；As detailed above.
Step number total value acquiring unit on foot, for obtaining the step number total value on foot on user's same day according to the detection cycle；
As detailed above.
Fractional value computing unit on foot, for according to calculating formula：（The total value of the step number on foot/target on same day step number on foot
Value）* the A of fractional value on foot on 100 calculating user's same day simultaneously carries out storage output；As detailed above.
The total value acquiring unit of step number on foot is further included：
Sample frequency presets subelement, for presetting one in the terminal for gathering user's acceleration information
Sample frequency；As detailed above.
Acceleration information gathers subelement, if accelerating the number of degrees for detecting the user gathered under default sample frequency
According to for 128, then the current state of user is judged according to user's acceleration information of the collection；As detailed above.
Positive Fourier transformation subelement, if being motion state/ambulatory status for the current state of the user, will
User's acceleration information of the collection carries out positive Fourier transformation, and obtains peak frequency MaxF；As detailed above.
Inverse Fourier transform subelement, for judge frequency ranges of the peak frequency MaxF whether in specifying it
It is interior, if within the frequency range in specifying, the data of [MaxF-1, MaxF+1] in frequency domain are carried out into reverse Fourier
Conversion；As detailed above.
Step Numerical real time record subelement, for whether there is trough in the data field for judging the inverse Fourier transform
Two troughs of the time interval in the data field for 200ms, if existing, are labeled as 1 step, and real time record step number by value
Value；As detailed above.
Same day step number total value records subelement, if it is still motion state for detecting the current state of user, and it is described
Step Numerical reaches 10 steps, then the current step number total value of real time record user；If conversely, detect the current state change of user being
Ambulatory status, the then current step number total value of real time record user.
Further, the sitting fractional value computing module 200 includes：
First sampling time preset unit, for setting for the first sampling time in the terminal in advance；Concrete as above institute
State.
Inactive state indexing unit, if being in inactive state in the detection cycle for detecting user, adopts
It is marked with symbol 0；Otherwise, symbolization 1 is marked；As detailed above.
Sitting number recording unit, if there is continuous N symbol 0 within first sampling time for detecting,
It is recorded as 1 sitting, wherein M=60/ detection cycles；As detailed above.
Sitting fractional value statistic unit, for the sitting number of times on real time record user's same day, and according to calculating formula：（1- is long
Order of seats number/8）* the sitting fractional value B on 100 calculating user's same day simultaneously carries out storage output；As detailed above.
Further, the sleep fractional value computing module 300 also includes：
Second sampling time preset unit, during for setting the second sampling time and standard sleep in the terminal in advance
Between section；As detailed above.
Sleep state indexing unit, if being in sleep state in the detection cycle for detecting user, adopts
It is marked with symbol 0 '；Otherwise, symbolization 1 ' is marked；As detailed above.
Sleep duration calculation unit, for the number of statistical symbol 0 ', and according to calculating formula：（The number of symbol 0 '）* examine
Survey cycle/60 calculate sleep duration UL of the user within second sampling time；As detailed above.
Sleep length score calculating unit, for obtaining user according to sleep duration UL and default first mapping ruler
Not in the sleep duration SL of standard sleep time period, and according to calculating formula：（SL/8）The * 100 sleep length fractions for calculating user
S1；As detailed above.
Length of one's sleep score calculating unit, for arranging the second mapping ruler, second mapping according to sleep duration UL
Rule is often interrupted once for recording user's sleep, then k point is deducted, according to calculating formula：（UL/8）*100-（8-UL）* k is calculated and used
The length of one's sleep fraction S2 at family；As detailed above.
Sleep fractional value statistic unit, for according to calculating formula：（S1+ S2）/ 2 sleep fractional value C for calculating user's same day
And carry out storage output；As detailed above.
Further, the health index output module 400 includes：
Healthy composite score computing unit, for obtaining the A of fractional value on foot, the sitting on user's same day on user's same day respectively
The fractional value B and sleep fractional value C on user's same day, and according to calculating formula：（（A+B+C）/300）* 100 calculate user's same day
Healthy composite score；As detailed above.
Compare output unit, for the healthy composite score on the user's same day for calculating and the health for prestoring to be marked
Quasi- value is compared, and obtains the health index on user's same day and exports；As detailed above.
Based on above-described embodiment, the present invention also provides a kind of embodiment of mobile terminal, the mobile end described in the present embodiment
End includes that the health index based on mobile terminal described above obtains system.
In sum, it is provided by the present invention a kind of based on the health index acquisition methods of mobile terminal, system and movement
Terminal, methods described is specifically included：The height values of acquisition for mobile terminal user, ABW value and user's same day are on foot
Step number total value, and the fraction on foot on user's same day is calculated according to the total value of step number on foot on the height values, body weight value and the same day
Value；Mobile terminal detects user and remains static within the first sampling time, then the sitting on the real time record user same day time
Number, and the sitting fractional value on user's same day is calculated according to the sitting number of times on the same day；Mobile terminal is within the second sampling time
Detect user and be in sleep state, then the sleep duration on the real time record user same day, and according to the sleep on user's same day
The sleep fractional value on duration calculation user's same day；According to the long of the fractional value on foot on user's same day, user's same day for calculating
The sleep fractional value for sitting fractional value and user's same day calculates the healthy composite score on user's same day, and is worked as according to the user
It healthy composite score exports the health index on user's same day.The present invention is easy to user to understand according to fraction computational algorithm on foot
Oneself amount of exercise of one day, according to sitting fraction computational algorithm be easy to user understand oneself one day sitting situation consequently facilitating with
The bad habit of sitting is given up at family, while being easy to user to understand the sleep state of oneself so as to right according to sleep fraction computational algorithm
In the situation of dyssomnia, can find in time and treated as soon as possible；The present invention had both avoided consumption mobile phone electricity too much, carried again
A kind of accurately health index acquisition modes in all directions are supplied, has been provided users with the convenient.
It should be appreciated that the application of the present invention is not limited to above-mentioned citing, and for those of ordinary skills, can
To be improved according to the above description or be converted, all these modifications and variations should all belong to the guarantor of claims of the present invention
Shield scope.
Claims (9)
1. a kind of health index acquisition methods based on mobile terminal, it is characterised in that including step：
The step number total value on foot on S1, the height values of acquisition for mobile terminal user, ABW value and user's same day, and according to
The total value of step number on foot on the height values, body weight value and the same day calculates the fractional value A on foot on user's same day；
S2, mobile terminal detect user and remain static within the first sampling time, then the real time record user same day is long
Order of seats number, and the sitting fractional value B on user's same day is calculated according to the sitting number of times on the same day；
S3, mobile terminal detect user in sleep state within the second sampling time, then the real time record user same day sleep
Dormancy duration, and the sleep fractional value C on the sleep duration calculation user's same day according to user's same day；
S4, the A of fractional value on foot, the sitting fractional value B on user's same day and the sleep on user's same day that user's same day is obtained respectively
Fractional value C, and according to calculating formula：（（A+B+C）/300）The * 100 healthy composite score for calculating user's same day；
The healthy composite score on the user's same day for calculating is compared with the health standards value for prestoring, user is obtained
The health index on the same day is simultaneously exported.
2. health index acquisition methods based on mobile terminal according to claim 1, it is characterised in that step S1
Specifically include step：
S11, one is preset in the terminal for detecting the detection cycle of user's same day state, user's same day state
Including：Inactive state, ambulatory status, motion state and sleep state；
S12, the height values and ABW value that obtain user, and according to calculating formula：(height values -100) * 0.9 calculate user
Standard body weight values；
S13, pre-set in the terminal and store expection step Numerical on foot, and according to calculating formula：Expected step number on foot
Value *（1+k）The target step Numerical on foot of user is calculated, the computing formula of wherein parameter k is：K=(| ABW value-standard body
Weight values |)/standard body weight values；
S14, the step number total value on foot that user's same day is obtained according to the detection cycle；
S15, according to calculating formula：（The total value of the step number on foot/target on same day step Numerical on foot）* 100 calculate user's same day on foot
Fractional value A simultaneously carries out storage output.
3. health index acquisition methods based on mobile terminal according to claim 2, it is characterised in that the step
S14 specifically includes step：
S141, one is preset in the terminal for gathering the sample frequency of user's acceleration information；
If S142, detect under default sample frequency gather user's acceleration information be 128, according to the collection
User's acceleration information judge the current state of user；
If the current state of S143, the user is motion state/ambulatory status, by user's acceleration information of the collection
Positive Fourier transformation is carried out, and obtains peak frequency MaxF；
S144, judge within frequency ranges of the peak frequency MaxF whether in specifying, if the frequency range in specifying
Within, then the data of [MaxF-1, MaxF+1] in frequency domain are carried out into inverse Fourier transform；
S145, judge with the presence or absence of valley value in the data field of the inverse Fourier transform, if existing, by the data field
Middle time interval is labeled as 1 step, and real time record step Numerical for two troughs of 200ms；
S146, if the current state of user is detected still for motion state, and the step Numerical reaches 10 steps, then real time record is used
The current step number total value in family, returns execution step S143；
If S147, conversely, detecting the current state change of user for ambulatory status, the current step number of real time record user is total
Value, returns execution step S143.
4. health index acquisition methods based on mobile terminal according to claim 2, it is characterised in that step S2
Specifically include step：
S21, set for the first sampling time in the terminal in advance；
If S22, detecting user inactive state being in the detection cycle, symbolization 0 is marked；Otherwise,
Symbolization 1 is marked；
If S23, detecting and continuous N symbol 0 occur within first sampling time, 1 sitting, wherein M=are recorded as
60/ detection cycle；
S24, the sitting number of times on real time record user's same day, and according to calculating formula：（1- sittings number of times/8）* 100 calculate user works as
It sitting fractional value B simultaneously carries out storage output.
5. health index acquisition methods based on mobile terminal according to claim 2, it is characterised in that step S3
Specifically include step：
S31, in advance the second sampling time and standard sleep time period are set in the terminal；
If S32, detecting user sleep state being in the detection cycle, symbolization 0 ' is marked；Otherwise,
Symbolization 1 ' is marked；
The number of S33, statistical symbol 0 ', and according to calculating formula：（The number of symbol 0 '）* detection cycle/60 calculate user in institute
State the sleep duration UL in the second sampling time；
S34, according to sleep duration UL and default first mapping ruler obtain user not in the sleep of standard sleep time period
Duration SL, and according to calculating formula：（SL/8）The * 100 sleep length fraction S1 for calculating user；
S35, the second mapping ruler is set according to sleep duration UL, second mapping ruler is used to recording user's sleep and often interrupts
Once, then k point is deducted, according to calculating formula：（UL/8）*100-（8-UL）* k calculates the length of one's sleep fraction S2 of user；
S36, according to calculating formula：（S1+ S2）The sleep fractional value C on/2 calculating user's same day simultaneously carries out storage output.
It healthy composite score is compared with the health standards value for prestoring, and the health index on acquisition user's same day is simultaneously defeated
Go out.
6. a kind of health index based on mobile terminal obtains system, it is characterised in that include：
Fractional value computing module on foot, for the height values of acquisition for mobile terminal user, ABW value and user's same day
Step number total value on foot, and user's same day is calculated on foot according to the total value of step number on foot on the height values, body weight value and the same day
Fractional value A；
Sitting fractional value computing module, detects user and remains static, then for mobile terminal within the first sampling time
The sitting number of times on real time record user's same day, and the sitting fractional value B on user's same day is calculated according to the sitting number of times on the same day；
Sleep fractional value computing module, detects user within the second sampling time and is in sleep state, then for mobile terminal
The sleep duration on real time record user's same day, and the sleep fraction on the sleep duration calculation user's same day according to user's same day
Value C；
Health index output module, for according to the A of fractional value on foot on the user's same day for obtaining respectively, the sitting on user's same day point
The numerical value B and sleep fractional value C on user's same day, and according to calculating formula：（（A+B+C）/300）* 100 calculate user's same day
Healthy composite score；The healthy composite score on the user's same day for calculating is compared with the health standards value for prestoring
Compared with the health index on acquisition user's same day is simultaneously exported.
7. health index according to claim 6 based on mobile terminal obtains system, it is characterised in that the fraction on foot
Value computing module includes：
Detection cycle presets unit, all for detecting the detection of user's same day state for presetting one in the terminal
Phase, user's same day state includes：Inactive state, ambulatory status, motion state and sleep state；
SBW computing unit, for obtaining the height values and ABW value of user, and according to calculating formula：(height values-
100) * 0.9 the standard body weight values of user are calculated；
Target step number computing unit on foot, for pre-setting in the terminal and stores expection step Numerical on foot, and root
According to calculating formula：Expected step Numerical * on foot（1+k）The target step Numerical on foot of user is calculated, the computing formula of wherein parameter k is：k
=(| ABW value-standard body weight values |)/standard body weight values；
Step number total value acquiring unit on foot, for obtaining the step number total value on foot on user's same day according to the detection cycle；
Fractional value computing unit on foot, for according to calculating formula：（The total value of the step number on foot/target on same day step Numerical on foot）*100
Calculate the A of fractional value on foot on user's same day and carry out storage output；
The total value acquiring unit of step number on foot is further included：
Sample frequency presets subelement, is used to gather the sampling of user's acceleration information for presetting one in the terminal
Frequency；
Acceleration information gathers subelement, if being for detecting the user's acceleration information gathered under default sample frequency
128, then the current state of user is judged according to user's acceleration information of the collection；
Positive Fourier transformation subelement, if being motion state/ambulatory status for the current state of the user, will be described
User's acceleration information of collection carries out positive Fourier transformation, and obtains peak frequency MaxF；
Inverse Fourier transform subelement, for judging whether the peak frequency MaxF is within the frequency range specified,
If within the frequency range in specifying, the data of [MaxF-1, MaxF+1] in frequency domain are carried out into reverse Fourier's change
Change；
Step Numerical real time record subelement, for whether there is valley value in the data field for judging the inverse Fourier transform,
If existing, two troughs of the time interval in the data field for 200ms are labeled as into 1 step, and real time record step Numerical；
Same day step number total value records subelement, if it is still motion state for detecting the current state of user, and the step number
Value reaches 10 steps, then the current step number total value of real time record user；If conversely, detecting the current state change of user for walking
State, the then current step number total value of real time record user.
8. health index according to claim 7 based on mobile terminal obtains system, it is characterised in that the sitting fraction
Value computing module includes：
First sampling time preset unit, for setting for the first sampling time in the terminal in advance；
Inactive state indexing unit, if inactive state is in the detection cycle for detecting user, using symbol
Number 0 is marked；Otherwise, symbolization 1 is marked；
Sitting number recording unit, if there is continuous N symbol 0 within first sampling time for detecting, records
For 1 sitting, wherein M=60/ detection cycles；
Sitting fractional value statistic unit, for the sitting number of times on real time record user's same day, and according to calculating formula：（1- sittings time
Number/8）* the sitting fractional value B on 100 calculating user's same day simultaneously carries out storage output；
The sleep fractional value computing module also includes：
Second sampling time preset unit, for setting the second sampling time and standard sleep time in the terminal in advance
Section；
Sleep state indexing unit, if sleep state is in the detection cycle for detecting user, using symbol
Number 0 ' is marked；Otherwise, symbolization 1 ' is marked；
Sleep duration calculation unit, for the number of statistical symbol 0 ', and according to calculating formula：（The number of symbol 0 '）* week is detected
Phase/60 calculate sleep duration UL of the user within second sampling time；
Sleep length score calculating unit, does not exist for obtaining user according to sleep duration UL and default first mapping ruler
The sleep duration SL of standard sleep time period, and according to calculating formula：（SL/8）The * 100 sleep length fraction S1 for calculating user；
Length of one's sleep score calculating unit, for arranging the second mapping ruler, second mapping ruler according to sleep duration UL
Often interrupt once for recording user's sleep, then k point is deducted, according to calculating formula：（UL/8）*100-（8-UL）* k calculates user's
Length of one's sleep fraction S2；
Sleep fractional value statistic unit, for according to calculating formula：（S1+ S2）The sleep fractional value C on/2 calculating user's same day goes forward side by side
Row storage output；
The health index output module includes：
Healthy composite score computing unit, for obtaining the A of fractional value on foot, the sitting fraction on user's same day on user's same day respectively
Value B and the sleep fractional value C on user's same day, and according to calculating formula：（（A+B+C）/300）* 100 calculate the strong of user's same day
Health composite score；
Relatively output unit, for the healthy composite score on user's same day that will calculate and the health standards value for prestoring
It is compared, obtains the health index on user's same day and export.
9. a kind of mobile terminal, it is characterised in that referred to based on the health of mobile terminal including claim 6 to 8 is arbitrary described
Number acquisition system.
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| CN105935479A (en) * | 2016-05-27 | 2016-09-14 | 惠州德赛信息科技有限公司 | Movement scheme adjustment system |
| CN106901747A (en) * | 2017-03-17 | 2017-06-30 | 深圳市创维群欣安防科技股份有限公司 | Intelligent monitor method and intelligent monitor bracelet |
| CN109620158B (en) * | 2018-12-28 | 2021-10-15 | 惠州Tcl移动通信有限公司 | Sleep monitoring method, intelligent terminal and storage device |
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