CN106474717A - Data processing method based on user movement state - Google Patents
Data processing method based on user movement state Download PDFInfo
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- CN106474717A CN106474717A CN201610906024.2A CN201610906024A CN106474717A CN 106474717 A CN106474717 A CN 106474717A CN 201610906024 A CN201610906024 A CN 201610906024A CN 106474717 A CN106474717 A CN 106474717A
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
- A63B71/0669—Score-keepers or score display devices
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0062—Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0686—Timers, rhythm indicators or pacing apparatus using electric or electronic means
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/40—Acceleration
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/80—Special sensors, transducers or devices therefor
- A63B2220/803—Motion sensors
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/80—Special sensors, transducers or devices therefor
- A63B2220/83—Special sensors, transducers or devices therefor characterised by the position of the sensor
- A63B2220/836—Sensors arranged on the body of the user
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2225/00—Miscellaneous features of sport apparatus, devices or equipment
- A63B2225/50—Wireless data transmission, e.g. by radio transmitters or telemetry
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- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Physical Education & Sports Medicine (AREA)
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The present embodiments relate to a kind of data processing method based on user movement state, including：User terminal receives the acceleration information that motion sensor means collection first user movement is produced；Acceleration information includes acquisition time information；Obtain the information for presetting timing statisticses；According to acquisition time information and the information of default timing statisticses, acceleration information to be counted in acceleration information is determined；Acceleration information to be counted is processed, obtains presetting the accumulative step count data in timing statisticses；Accumulative step count data has the information of actual count time；Age reference data is enlivened according to what accumulative step count data and accumulative step number threshold value determined first user；According to age reference data and accumulative step count data is enlivened, generate and enliven the age display information is referred to, and show.
Description
Technical field
The present invention relates to technical field of data processing, more particularly to a kind of data processing side based on user movement state
Method.
Background technology
With the development in epoch, the raising of quality of life, health problem are increasingly paid close attention to by people.Have one to be good for
The physique of health is everyone common dream.
According to user's request, have been developed in the industry many counting step softwares, the walking step number daily to user is carried out
Record, by the extensive welcome of various people.But such software is only capable of recording the daily walking step number of user, only has note step
Function, step number is not analyzed and processes so that user cannot judge daily amount of exercise whether with age phase
Join.
Content of the invention
The purpose of the present invention is the defect for prior art, provides a kind of data processing side based on user movement state
Method, can be further analyzed to the motion step number of user and process, and obtain user enlivens the age so that user can
By the data display at age is enlivened, determine whether oneself current amount of exercise is appropriate, rises so as to the amount of exercise daily to user
To supervision and the effect of guiding.
In view of this, a kind of data processing method based on user movement state is embodiments provided, including：
User terminal receives the acceleration information that motion sensor means collection first user movement is produced；The acceleration number of degrees
According to including acquisition time information；
Obtain the information for presetting timing statisticses；
According to the acquisition time information and the information of the default timing statisticses, determine in the acceleration information and wait to unite
The acceleration information of meter；
The acceleration information to be counted is processed, obtains the accumulative step number number in the default timing statisticses
According to；The accumulative step count data has the information of actual count time；
Age reference data is enlivened according to what the accumulative step count data and accumulative step number threshold value determined the first user；
Age reference data and the accumulative step count data is enlivened according to described, generate and enliven the age and refer to display information,
And show.
Preferably, the motion sensor means are specially acceleration transducer, are built in the user terminal, the use
Family terminal receives the acceleration information of motion sensor means collection first user movement generation and specifically includes：
The acceleration information that the user terminal real-time reception motion sensor means collection first user movement is produced.
Preferably, the motion sensor means are specially external motion sensor means, receive motion in the user terminal
Before the acceleration information that sensing device collection first user movement is produced, methods described also includes：
The data cube computation that sets up between the user terminal and the motion sensor means.
Preferably, the information of the default timing statisticses includes to count information and the letter of statistics end time of initial time
Breath, methods described also include；
When the default end time is reached, age reference data and the accumulative step count data is enlivened according to described,
Generation enlivens the age and refers to data storage, and is stored in database.
Preferably, methods described also includes：After the default end time is reached, by the accumulative step count data weight
It is set to 0.
Preferably, the accumulative step number threshold value is multiple, and each accumulative step number threshold value corresponds to one and enlivens the age or active
Age range；The age of enlivening for determining the first user according to the accumulative step count data and accumulative step number threshold value refers to
Data are specially：
Corresponding accumulative step number threshold value is determined according to the accumulative step count data；
Enliven the age or enliven age range according to what the accumulative step number threshold value obtained that the first user is presently in.
Preferably, the active year for determining the first user according to the accumulative step count data and accumulative step number threshold value
Age reference data is specially：
According to the actual count time of the accumulative step count data and the ratio of the default timing statisticses and described tired
Meter step count data, obtains predicting accumulative step count data；
Step count data is added up according to the prediction and the accumulative step number threshold value obtains what the first user was presently in
Enliven the age or enliven age range.
Preferably, methods described also includes：
The user profile of receiving user's input；The user profile includes the ID of the first user；
The exercise habit statistics of the first user is obtained according to the ID.
It is further preferred that described determine the first user according to the accumulative step count data and accumulative step number threshold value
Enliven age reference data to be specially：
According to the exercise habit statistics, the actual count time of the accumulative step count data, the default statistics
Time, and the accumulative step count data, obtain predicting accumulative step count data；
Step count data is added up according to the prediction and the accumulative step number threshold value obtains what the first user was presently in
Enliven the age or enliven age range.
Data processing method based on user movement state provided in an embodiment of the present invention, can be to the motion step number of user
Be further analyzed and process, obtain user enlivens the age so that user can by enlivening the data display at age,
Determine whether oneself current amount of exercise is appropriate, play a part of to supervise so as to the amount of exercise daily to user and guide.
Description of the drawings
Fig. 1 is the data processing method flow chart based on user movement state provided in an embodiment of the present invention.
Specific embodiment
Below by drawings and Examples, technical scheme is described in further detail.
The present embodiment provides the data processing method based on user movement state, is implemented in the application of user terminal.Often
User terminal includes：Smart mobile phone and intelligent watch.Fig. 1 is provided in an embodiment of the present invention based on user movement state
Data processing method flow chart, as shown in figure 1, key step includes：
Step 110, user terminal receive the acceleration information that motion sensor means collection first user movement is produced.
Wherein, motion sensor means can be acceleration transducer, built-in in the user terminal.Adopt in motion sensor means
Before collection user's acceleration information, user need to be input into acquisition instructions in user terminal first, and motion sensor means are according to receiving
Acquisition instructions, gather first user movement produce acceleration information, wherein, gather acceleration information while record adopt
The temporal information of collection.
Motion sensor means can also be external motion sensor means, can between external motion sensor means and user terminal
To be connected by wired or wireless way, such as external motion sensor means can be motion bracelet, in motion sensor means
Before collection user's acceleration information, the data cube computation that bluetooth is set up between user terminal and motion bracelet can be first passed through, use
When family is moved, motion bracelet is acquired to the acceleration information of user, then by Bluetooth transmission to user terminal.
Step 120, obtains the information for presetting timing statisticses.
Wherein, the information for presetting timing statisticses includes to count information and the information of statistics end time of initial time.In advance
If the information of timing statisticses can default, or user set on the subscriber terminal as needed, such as,
Default timing statisticses can be 1 day, set and preset timing statisticses as 24 hours, and the information for counting initial time is September 1 day 0:
00:00, the information for counting the end time is September 1 day 23:59:59；Default timing statisticses can also be 1 week, set default statistics
Time is 1 week, and the information for counting initial time is September 1 day 0:00:00, the information September of statistics end time 8 days 0:00:00.
Step 130, according to acquisition time information and the information of default timing statisticses, determines to be counted in acceleration information
Acceleration information.
Specifically, first the acquisition time information matched with which is found according to the information for presetting timing statisticses, further according to
Acquisition time information determines that the acceleration information in the acquisition time is acceleration information to be counted.In a specific example
In, the information for presetting timing statisticses is 24 hours, and the information for counting initial time is September 1 day 0:00:00, count the end time
Information be September 1 day 23:59:59, then when finding collection according to the information of statistics initial time with the information of statistics end time
Between information September 1 day 0:00:00 to September 1 day 23:59:59 acceleration information, determines that the acceleration information of the acquisition time is
Acceleration information to be counted, does not count to the acceleration information in non-default timing statisticses.
Step 140, is processed to acceleration information to be counted, obtains presetting the accumulative step number number in timing statisticses
According to.
Specifically, motion sensor means can be 3-axis acceleration sensor, can gather three directions in user's walking
Acceleration change, frequency acquisition is default, such as sets frequency acquisition as 200ms or 500ms, and user terminal calculates three first
The vector length of individual acceleration, so as to obtain the sinusoidal path in a user movement；Changed by vector length again, sentence
Break the direction of current acceleration and the acceleration direction of last preservation be compared, if in opposite direction, be shortly past peak value
State, then entering meter step logic carries out meter step, otherwise gives up, so as to obtain presetting in timing statisticses by the method for peakvalue's checking
Accumulative step count data, the accumulative step count data for wherein obtaining contains actual count temporal information.
Step 150, enlivens age reference data according to what accumulative step count data and accumulative step number threshold value determined first user.
Wherein, it is multiple to add up step number threshold value, and each accumulative step number threshold value corresponds to one and enlivens age or the age of enlivening area
Between, the information for such as presetting timing statisticses is 24 hours, adds up step number in 0 to 1.5 ten thousand step, sets and adds up step number threshold value as 0
To 1,000, corresponding enliven the age for 59 years old, it is 1 thousand to 2 thousand to add up step number threshold value, corresponding enliven the age for 57 years old, add up step
Number threshold value is 2 thousand to 3 thousand, corresponding enliven the age for 55 years old, it is 3 thousand to 4 thousand to add up step number threshold value, corresponding enliven the age and is
53 years old, it was 4 thousand to 5 thousand to add up step number threshold value, corresponding enliven the age for 51 years old, sets accumulative step number threshold value as 5 thousand to 6 thousand,
Corresponding enliven the age for 49 years old, it is 6 thousand to 7 thousand to add up step number threshold value, corresponding enliven the age for 47 years old, add up step number threshold value
For 7 thousand to 8 thousand, corresponding enliven the age for 45 years old, it is 8 thousand to 9 thousand to add up step number threshold value, corresponding enliven the age for 43 years old,
Accumulative step number threshold value is 9 thousand to 1 ten thousand, corresponding enlivens the age for 41 years old；Accumulative step number threshold value is 1 ten thousand to 1.1 ten thousand, corresponding work
The jump age is 39 years old；Accumulative step number threshold value is 1.1 ten thousand to 1.2 ten thousand, corresponding enlivens the age for 37 years old；Accumulative step number threshold value is
1.2 ten thousand to 1.3 ten thousand, corresponding the age is enlivened for 35 years old；Accumulative step number threshold value is 1.3 ten thousand to 1.4 ten thousand, corresponding enliven the age and is
33 years old；Accumulative step number threshold value is 1.4 ten thousand to 1.5 ten thousand, corresponding enlivens the age for 31 years old；Accumulative step number is in 1.5 ten thousand to 3 ten thousand steps
When, set that to add up step number threshold value be 1.5 ten thousand to 1.6 ten thousand, corresponding enliven the age for 29 years old, set accumulative step number threshold value as 1.6
Ten thousand to 1.7 ten thousand, corresponding enliven the age for 27 years old, sets accumulative step number threshold value as 1.7 ten thousand to 1.8 ten thousand, corresponding enlivens the age
For 25 years old, set that to add up step number threshold value be 1.8 ten thousand to 2 ten thousand, corresponding enliven the age for 24 years old, set accumulative step number threshold value as 2
Ten thousand to 2.5 ten thousand, corresponding enliven the age for 22 years old, sets accumulative step number threshold value as 2.5 ten thousand to 3 ten thousand, corresponding enliven the age and be
20 years old；Set and add up step number threshold value and be more than 30,000 steps, corresponding the age is enlivened for 18 years old.
In a specific example, corresponding accumulative step number threshold can be determined according to the accumulative step count data of user
Value, enlivens the age or enlivens age range further according to what accumulative step number threshold value obtained that user is presently in, such as:In default statistics
Accumulative step count data in the information 24 hours of time is 12584 steps, it is determined that add up corresponding tired of 12584 step of step count data
Meter step number threshold value is 1.2 ten thousand to 1.3 ten thousand, and the accumulative step number threshold value is corresponding to enliven the age for 35 years old, so that it is determined that adding up step number
Data be the user of 12584 steps be presently in enliven the age for 35 years old.
Additionally, in another specific example, according to the actual count time for adding up step count data and can also preset
The ratio of timing statisticses, and accumulative step count data, the prediction for obtaining user add up step count data, add up step number further according to prediction
What data and accumulative step number threshold value obtained that user is presently in enlivens the age or enlivens age range.Such as：Default timing statisticses
Information be 24 hours, count initial time information be 0:00:00, the information for counting the end time is 23:59:59, actual
Timing statisticses are 8：00：00, it is 1500 steps to add up step count data, and the actual count time is preset timing statisticses 1/3rd,
Therefore obtain user to add up step count data in the prediction of default timing statisticses is 4500 steps, and prediction adds up 4500 step pair of step count data
The accumulative step number threshold value that answers is 4 thousand to 5 thousand, corresponding enlivens the age for 51 years old.
For the average user of amount of exercise, can using above-mentioned basis add up step count data the actual count time and
The ratio calculating of default timing statisticses enlivens the method at age and is calculated.
For the uneven situation of amount of exercise, the embodiment of the present invention additionally provides a kind of more preferred scheme, by learning
Commonly use the exercise habit at family, more accurately the age of enlivening to user calculate, so as to obtain accurate result.
Specifically, before motion sensor means collection acceleration information, user need to be defeated in the login interface of user terminal
Access customer information, user profile include the ID of first user, and user terminal can obtain the motion of user according to ID
Habit statistical data；When then according to exercise habit statistics, the actual count time of accumulative step count data, default statistics
Between, and accumulative step count data, obtain predicting accumulative step count data；Add up step count data and accumulative step number threshold value further according to prediction
Obtain that user is presently in enlivens the age or enlivens age range；Such as ID is 5467467 user, is united according to exercise habit
Count display user's morning amount of exercise and whole day momental 3/4ths is accounted for, the information for presetting timing statisticses is 24 hours, system
The information of meter initial time is 0:00:00, the information for counting the end time is 23:59:59, the actual count time is 12：00：
00, it is 6300 steps to add up step count data, it is determined that it is 8000 steps that prediction adds up step count data, rather than 12600 steps, and prediction is accumulative
The corresponding accumulative step number threshold value of 8400 step of step count data is 8 thousand to 9 thousand, and obtained enlivened the age for 43 years old.
Step 160, according to age reference data and accumulative step count data is enlivened, generates and enlivens the age and refer to display information,
And show.
Specifically, be 8000 steps according to accumulative step count data, age reference data is enlivened for 43 years old, generate and enliven age ginseng
Display information " 8000 steps enliven the age 43 years old " is examined, and is shown the age is enlivened in user terminal with reference to display information.Should
Show and can be realized with mode word, forms mode or form of icons etc..Display information enlivens the age with reference to aobvious except showing
Show outside information, the ID of this test can also be included, and the user for obtaining is corresponded to according to ID to enliven age change
Change curve etc..
After the default end time is reached, accumulative step count data is reset to 0, carry out next timing statisticses of presetting and add
The collection of speed data.
Additionally, when the default end time is reached, age reference data and the accumulative step count data will be enlivened, generate and live
The jump age refers to data storage, and is stored in database according to ID, the amount of exercise daily to user and enlivens the age and enters
Row record, facilitates user to understand the health status of itself.
Data processing method based on user movement state provided in an embodiment of the present invention, can be to the motion step number of user
Be further analyzed and process, obtain user enlivens the age so that user can by enlivening the data display at age,
Determine whether oneself current amount of exercise is appropriate, play a part of to supervise so as to the amount of exercise daily to user and guide.
Professional should further appreciate that, in conjunction with each example of the embodiments described herein description
Unit and algorithm steps, can be hard in order to clearly demonstrate with electronic hardware, computer software or the two be implemented in combination in
Part and the interchangeability of software, generally describe composition and the step of each example in the above description according to function.
These functions are executed with hardware or software mode actually, the application-specific depending on technical scheme and design constraint.
Professional and technical personnel can use different methods to realize to each specific application described function, but this realization
It is not considered that beyond the scope of this invention.
Method in conjunction with the embodiments described herein description can be with hardware, computing device the step of algorithm
Software module, or the combination of the two is implementing.Software module can be placed in random access memory (RAM), internal memory, read-only storage
(ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field
In interior known any other form of storage medium.
Above-described specific embodiment, has been carried out to the purpose of the present invention, technical scheme and beneficial effect further
Describe in detail, the specific embodiment that the foregoing is only the present invention is should be understood that, is not intended to limit the present invention
Protection domain, all any modification, equivalent substitution and improvement that within the spirit and principles in the present invention, is done etc., all should include
Within protection scope of the present invention.
Claims (9)
1. a kind of data processing method based on user movement state, it is characterised in that methods described includes：
User terminal receives the acceleration information that motion sensor means collection first user movement is produced；The acceleration information bag
Include acquisition time information；
Obtain the information for presetting timing statisticses；
According to the acquisition time information and the information of the default timing statisticses, determine to be counted in the acceleration information
Acceleration information；
The acceleration information to be counted is processed, obtains the accumulative step count data in the default timing statisticses；Institute
State the information that accumulative step count data has the actual count time；
Age reference data is enlivened according to what the accumulative step count data and accumulative step number threshold value determined the first user；
Age reference data and the accumulative step count data is enlivened according to described, generate and enliven the age and refer to display information, and show
Show.
2. the data processing method based on user movement state according to claim 1, it is characterised in that the motion is passed
Induction device is specially acceleration transducer, is built in the user terminal, and the user terminal receives motion sensor means and adopts
The acceleration information that collection first user movement is produced is specifically included：
The acceleration information that the user terminal real-time reception motion sensor means collection first user movement is produced.
3. the data processing method based on user movement state according to claim 1, it is characterised in that the motion is passed
Induction device is specially external motion sensor means, receives motion sensor means collection first user movement in the user terminal and produces
Before raw acceleration information, methods described also includes：
The data cube computation that sets up between the user terminal and the motion sensor means.
4. the data processing method based on user movement state according to claim 1, it is characterised in that the default system
Information between timing includes information and the information of statistics end time for counting initial time, and methods described also includes；
When the default end time is reached, age reference data and the accumulative step count data is enlivened according to described, generate
Enlivening the age refers to data storage, and is stored in database.
5. the data processing method based on user movement state according to claim 1, it is characterised in that methods described is also
Including：After the default end time is reached, the accumulative step count data is reset to 0.
6. the data processing method based on user movement state according to claim 1, it is characterised in that the accumulative step
Number threshold value is multiple, and each accumulative step number threshold value corresponds to one and enlivens the age or enliven age range；Described according to described accumulative
Step count data and accumulative step number threshold value determine that the age reference data of enlivening of the first user is specially：
Corresponding accumulative step number threshold value is determined according to the accumulative step count data；
Enliven the age or enliven age range according to what the accumulative step number threshold value obtained that the first user is presently in.
7. the data processing method based on user movement state according to claim 1, it is characterised in that described according to institute
State accumulative step count data and accumulative step number threshold value determines that the age reference data of enlivening of the first user is specially：
According to the actual count time of the accumulative step count data and the ratio of the default timing statisticses, and the accumulative step
Number data, obtain predicting accumulative step count data；
According to the prediction add up that step count data and the accumulative step number threshold value obtain that the first user is presently in active
Age enlivens age range.
8. the data processing method based on user movement state according to claim 1, it is characterised in that methods described is also
Including：
The user profile of receiving user's input；The user profile includes the ID of the first user；
The exercise habit statistics of the first user is obtained according to the ID.
9. the data processing method based on user movement state according to claim 8, it is characterised in that described according to institute
State accumulative step count data and accumulative step number threshold value determines that the age reference data of enlivening of the first user is specially：
According to the exercise habit statistics, the actual count time of the accumulative step count data, the default timing statisticses,
And the accumulative step count data, obtain predicting accumulative step count data；
According to the prediction add up that step count data and the accumulative step number threshold value obtain that the first user is presently in active
Age enlivens age range.
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| CN111416904A (en) * | 2020-03-13 | 2020-07-14 | 维沃移动通信有限公司 | Data processing method, electronic device and medium |
| CN111416904B (en) * | 2020-03-13 | 2021-06-22 | 维沃移动通信有限公司 | Data processing method, electronic device and medium |
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