CN107680649A - Movable based reminding method and relevant device - Google Patents
Movable based reminding method and relevant device Download PDFInfo
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- CN107680649A CN107680649A CN201710747460.4A CN201710747460A CN107680649A CN 107680649 A CN107680649 A CN 107680649A CN 201710747460 A CN201710747460 A CN 201710747460A CN 107680649 A CN107680649 A CN 107680649A
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- G06Q10/10—Office automation; Time management
- G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
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Abstract
The invention discloses a kind of movable based reminding method and relevant device.Methods described includes：Terminal device gathers the exercise data of user by motion sensor；Terminal device gathers the physiological data of the user by biosensor；By the exercise data of the user and physiological data input, to sit quietly judgment models that user's terminal device sits quietly or movable to determine, wherein, the judge module of sitting quietly can reflect the mapping relations of the exercise data and the active state；When the time of sitting quietly of the user being more than predetermined threshold value, terminal device reminds user's carry out activity.
Description
Technical field
The present invention relates to Internet of Things field, more particularly to a kind of movable based reminding method and relevant device.
Background technology
Become increasingly popular with the office equipment of computer, more and more people need it is long-term be sitting in computer before be operated.It is many
Well known, the harm sat quietly for a long time to people is quite big, and it doubles angiocardiopathy, diabetes, causing danger for obesity,
And largely add causing danger for hypertension, osteoporosis, depression and anxiety.Due to operating pressure, to the greatest extent
The seriousness that many people recognize problem is managed, still, once into working condition, with regard to inevitably have ignored this problem.
Prior art lacks the generation that a kind of feasible mechanism carrys out proactive problem.
The content of the invention
The embodiment of the present invention provides a kind of movable based reminding method and relevant device, can automatically prompting user lived
It is dynamic.
First aspect, there is provided a kind of movable based reminding method, including：
Terminal device gathers the exercise data of user by motion sensor；
Terminal device gathers the physiological data of the user by biosensor；
The exercise data of the user and physiological data input are sat quietly judgment models to determine the use by terminal device
It is that family is sat quietly or movable, wherein, the judge module of sitting quietly can reflect the exercise data and the active state
Mapping relations；
When the time of sitting quietly of the user being more than predetermined threshold value, terminal device reminds user's carry out activity.
Alternatively, the exercise data includes at least one in motional amplitude, acceleration of motion, motion frequency；It is described
Physiological data includes at least one of breathing, blood pressure and heartbeat.
Alternatively, methods described also includes：
Terminal device receives the sign data of user's input, wherein, the height of the sign data including the user or
At least one of person's body weight；
The exercise data of the user and physiological data input are sat quietly judgment models to determine the use by terminal device
That family is sat quietly or movable includes：
Exercise data, physiological data and the sign data input of the user is sat quietly judgment models with true by terminal device
It is that the fixed user sits quietly or movable.
Alternatively, the judgment models of sitting quietly are regression model, decision-tree model, supporting vector machine model and Bayes
At least one of model.
Alternatively, the exercise data of the user and physiological data input are sat quietly into judgment models with true in terminal device
Before that the fixed user sits quietly or movable, methods described also includes：The terminal device by the exercise data with
And the invalid data in the physiological data is filtered.
Second aspect, there is provided a kind of movable alarm set, including：Acquisition module, determination module and prompting module,
The acquisition module is used for the exercise data that user is gathered by motion sensor, and, pass through biosensor
Gather the physiological data of the user；
The determination module is used to the exercise data of the user and physiological data input sitting quietly judgment models with true
It is that the fixed user sits quietly or movable, wherein, the judge module of sitting quietly can reflect the exercise data with it is described
The mapping relations of active state；
The prompting module is used for when the time of sitting quietly of the user being more than predetermined threshold value, reminds the user to be lived
It is dynamic.
Alternatively, the exercise data includes at least one in motional amplitude, acceleration of motion, motion frequency；It is described
Physiological data includes at least one of breathing, blood pressure and heartbeat.
Alternatively, described device also includes receiving module, and the receiving module is used for the sign data for receiving user's input,
Wherein, the sign data includes at least one of height or body weight of the user；
The determination module is used to the exercise data, physiological data and sign data of the user inputting judgement of sitting quietly
Model is that the user sits quietly or movable to determine.
Alternatively, the judgment models of sitting quietly are regression model, decision-tree model, supporting vector machine model and Bayes
At least one of model.
Alternatively, described device also includes filtering module, and the filtering module is used for the exercise data and described
Invalid data in physiological data is filtered.
In such scheme, by gathering the exercise data and physiological data of user, and according to the exercise data of user with
And physiological data determine user be stand or sit quietly, and sit quietly exceed certain time when, remind user's carry out activity so that
User can be reminded to avoid sitting quietly for a long time well, prevent the appearance of inferior health problem.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is a kind of schematic flow sheet for movable based reminding method that the embodiment of the present application provides；
Fig. 2 is the schematic flow sheet for another movable based reminding method that the embodiment of the present application provides；
Fig. 3 is a kind of structural representation for movable alarm set that the embodiment of the present application provides；
Fig. 4 is the structural representation for another movable alarm set that the embodiment of the present application provides；
Fig. 5 is a kind of structural representation for terminal device that the embodiment of the present application provides.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not made
Embodiment, belong to the scope of protection of the invention.
It should be noted that the term used in embodiments of the present invention is only merely for the mesh of description specific embodiment
, and it is not intended to be limiting the present invention." one of singulative used in the embodiment of the present invention and appended claims
Kind ", " described " and "the" are also intended to including most forms, unless context clearly shows that other implications.It is also understood that this
Term "and/or" used herein refers to and comprising any or all possible group associated of list items purpose of one or more
Close.
The present embodiments relate to user when being handled official business, application scenarios that portable terminal equipment is handled official business.
Specifically,
In the application implementation, terminal device can be that user equipment (User Equipment, UE) can also be worn
Wear equipment (Designing for Wearables) etc..Wherein, the user equipment can include smart mobile phone (smart
Phone), tablet personal computer (PAD) etc..It is described intelligent watch, intelligence ring, intelligent necklace, intelligence to be included with wearable device
Bracelet and intelligent eyes etc..It is appreciated that above-mentioned example is only used for illustrating, should not be construed as specifically limiting.
Motion sensor is provided with the terminal device.Wherein, the motion sensor is used for the motion for gathering user
Data.For example, it can be accelerometer, gyroscope and magnetometer etc. that the motion-sensing, which includes, the bag of user can be gathered
The exercise data including motional amplitude, acceleration of motion and motion frequency is included, and is accelerated according to the motional amplitude of user, motion
Degree and motion frequency etc. exercise data identify that user sits quietly or active state.
Biosensor collection is provided with the terminal device.Wherein, the biosensor is used to gather user's
Physiological data.For example, the biosensor can be electronic sphygmomanometer, electronic electrocardiagram detector and apnea detector etc.
Deng, can collect a variety of physiological datas of the user including blood pressure, heartbeat and respiratory rate, and according to including blood pressure,
A variety of physiological datas identification user including heartbeat and respiratory rate sits quietly or activity.It is appreciated that the physiology passes
Sensor can also be not arranged in terminal device, and is provided in human body.Now, the biosensor is wirelessly
It is connected with terminal device, so as to which the physiological data collected is sent into terminal device.
In the embodiment of the present application, wireless mode includes：Cellular based communication mode, equipment are to DeviceMode or other wireless
Communication modes.Wherein, cellular based communication mode can be using based on global system for mobile communications (Global System for
Mobile Communication, GSM), CDMA (Code Division Multiple Access, CDMA), broadband code
Divide multiple access (Wideband Code Division Multiple Access, WCDMA), Long Term Evolution (Long Term
Evolution, LTE) or other standards, it is not especially limited herein.Equipment is to equipment (Device to Device) side
Formula can be not especially limited herein using WIFI, Zigbee, bluetooth or other equipment to device talk mode.
In the embodiment of the present application, terminal device can will collect exercise data and physiological data input is sat quietly and judges mould
Type, it is that user sits quietly or movable so as to judge.Wherein, activity can include walking and the state such as run.Alternatively,
The sign data that terminal device can be combined with user is that user sits quietly or movable to judge.
In the embodiment of the present application, exercise data can be included in motional amplitude, acceleration of motion, motion frequency at least
One.In the specific implementation, terminal device can gather above-mentioned exercise data by motion sensor.User is in activity
Motional amplitude during state be typically larger than user be in sit quietly state when motional amplitude；Motion when user is active
Acceleration be typically larger than user be in sit quietly state when acceleration of motion；Motion frequency when user is active is usual
Motion frequency when sitting quietly state is in more than user.In a particular application, exercise data can also include other parameters, this
Place is not especially limited.
In the embodiment of the present application, physiological data can include at least one of breathing, blood pressure and heartbeat.Specific
In realization, terminal device can gather above-mentioned physiological data by biosensor.Exhaling when user is active
Inhale and be generally in being short of breath when sitting quietly state than user；Blood pressure when user is active generally is in quiet than user
High blood pressure during seat state；Heartbeat when user is active generally is in rapid heart beat when sitting quietly state than user.
In concrete application, physiological data can also include other parameters, be not especially limited herein.
In the embodiment of the present application, the sign data of user can include at least one of height and body weight etc..
In the specific implementation, the sign data of user can be user voluntarily inputs, for example, user voluntarily inputs oneself at interface
Height and body weight, or, the sign data of user can be that terminal device is acquired by internet.The height of user
The judged result of terminal may be influenced whether with body weight.Under normal conditions, the motional amplitude of the higher user of height compares height
Motional amplitude compared with short user is big；The acceleration of motion of the acceleration of motion of the higher user of the height user shorter than height
Greatly；The motion frequency of the motion frequency of the higher user of the height user shorter than height is low.In addition, the user of heavier-weight
Motional amplitude is bigger compared with the motional amplitude of light user than body weight；The acceleration of motion of the user of the heavier-weight use lighter than body weight
The acceleration of motion at family is big；The motion frequency of the motion frequency of the user of the heavier-weight user lighter than body weight is low.
In the embodiment of the present application, judgment models of sitting quietly be regression model, decision-tree model, supporting vector machine model and
At least one of Bayesian model.By taking motional amplitude, acceleration of motion, motion frequency as an example, judgment models of sitting quietly can be with table
It is shown as：
F (amplitude, velocity, frequency)=a*amplitudem+b*velocityn+c*frequencyt
+d
Wherein, a, b, c represent the weight of every factor, and m, n, t represent the index of each factor, and d represents adjustment increment.Specifically
During implementation, a, b, c, m, n, t and d value can be trained using machine learning algorithm.During training, substantial amounts of known fortune is used
Dynamic amplitude, known acceleration of motion, known motion frequency, and, it is the known motional amplitude, known acceleration of motion, known
Virtual condition corresponding to motion frequency (activity is sat quietly) is trained as input to model.
Needing what is illustrated, be not limited to above-mentioned algorithm expression formula, the judgment models f that sits quietly can also be other models,
Here it is not limited.Also, it is not limited to motional amplitude, acceleration of motion, motion frequency these three parameters, function f independent variable
It may include more or less parameters, i.e., described judgment models of sitting quietly can also judge user's from more various dimensions or less dimension
State.
By taking motional amplitude, acceleration of motion, motion frequency as an example, motional amplitude, acceleration of motion and motion frequency are total to
With the judgement for influenceing User Status.Between motional amplitude, the combination of acceleration of motion and motion frequency formation and User Status
In the presence of the mapping relations sat quietly represented by judgment models.
Specifically, the user fixed for motional amplitude and acceleration of motion, the motion frequency of the user is bigger, then
User Status is probably active state, conversely, the motion frequency of the user is smaller, then User Status is probably the state of sitting quietly.
The user fixed for acceleration of motion and motion frequency, the motional amplitude of the user is bigger, then User Status is probably
Active state, conversely, the motional amplitude of the user is smaller, then User Status is probably the state of sitting quietly.For motional amplitude with
And the user that motion frequency is fixed, the acceleration of motion of the user is bigger, then User Status is probably active state, conversely,
The acceleration of motion of the user is smaller, then User Status is probably the state of sitting quietly.Example is used only for explaining implementation of the present invention
Example, should not form restriction.
Refering to Fig. 1, Fig. 1 is a kind of schematic flow sheet for movable based reminding method that the embodiment of the present application provides.Such as Fig. 1 institutes
Show, the movable based reminding method of the application includes：
S101：Terminal device gathers the exercise data of user by motion sensor.
In the embodiment of the present application, exercise data can be included in motional amplitude, acceleration of motion, motion frequency at least
One.In the specific implementation, terminal device can gather above-mentioned exercise data by motion sensor.User is in activity
Motional amplitude during state be typically larger than user be in sit quietly state when motional amplitude；Motion when user is active
Acceleration be typically larger than user be in sit quietly state when acceleration of motion；Motion frequency when user is active is usual
Motion frequency when sitting quietly state is in more than user.In a particular application, exercise data can also include other parameters, this
Place is not especially limited.
S102：Terminal device gathers the physiological data of the user by biosensor.
In the embodiment of the present application, physiological data can include at least one of breathing, blood pressure and heartbeat.Specific
In realization, terminal device can gather above-mentioned physiological data by biosensor.Exhaling when user is active
Inhale and be generally in being short of breath when sitting quietly state than user；Blood pressure when user is active generally is in quiet than user
High blood pressure during seat state；Heartbeat when user is active generally is in rapid heart beat when sitting quietly state than user.
In concrete application, physiological data can also include other parameters, be not especially limited herein.
S103：The exercise data of the user and physiological data input are sat quietly judgment models to determine by terminal device
State it is that user sits quietly or movable, wherein, the judge module of sitting quietly can reflect the exercise data and the activity
The mapping relations of state.
S104：When the time of sitting quietly of the user being more than predetermined threshold value, terminal device reminds user's carry out activity.
In such scheme, by gathering the exercise data and physiological data of user, and according to the exercise data of user with
And physiological data determine user be stand or sit quietly, and sit quietly exceed certain time when, remind user's carry out activity so that
User can be reminded to avoid sitting quietly for a long time well, prevent the appearance of inferior health problem.
Refering to Fig. 2, Fig. 2 is the schematic flow sheet for another movable based reminding method that the embodiment of the present application provides.Such as Fig. 2 institutes
Show, the movable based reminding method of the application includes：
S201：Terminal device gathers the exercise data of user by motion sensor.
In the embodiment of the present application, exercise data can be included in motional amplitude, acceleration of motion, motion frequency at least
One.In the specific implementation, terminal device can gather above-mentioned exercise data by motion sensor.User is in activity
Motional amplitude during state be typically larger than user be in sit quietly state when motional amplitude；Motion when user is active
Acceleration be typically larger than user be in sit quietly state when acceleration of motion；Motion frequency when user is active is usual
Motion frequency when sitting quietly state is in more than user.In a particular application, exercise data can also include other parameters, this
Place is not especially limited.
S202：Terminal device gathers the physiological data of the user by biosensor.
In the embodiment of the present application, physiological data can include at least one of breathing, blood pressure and heartbeat.Specific
In realization, terminal device can gather above-mentioned physiological data by biosensor.Exhaling when user is active
Inhale and be generally in being short of breath when sitting quietly state than user；Blood pressure when user is active generally is in quiet than user
High blood pressure during seat state；Heartbeat when user is active generally is in rapid heart beat when sitting quietly state than user.
In concrete application, physiological data can also include other parameters, be not especially limited herein.
S203：Terminal device receives the sign data of user's input.
In the embodiment of the present application, the sign data of user can include at least one of height and body weight etc..
In the specific implementation, the sign data of user can be user voluntarily inputs, for example, user voluntarily inputs oneself at interface
Height and body weight, or, the sign data of user can be that terminal device is acquired by internet.The height of user
The judged result of terminal may be influenced whether with body weight.Under normal conditions, the motional amplitude of the higher user of height compares height
Motional amplitude compared with short user is big；The acceleration of motion of the acceleration of motion of the higher user of the height user shorter than height
Greatly；The motion frequency of the motion frequency of the higher user of the height user shorter than height is low.In addition, the user of heavier-weight
Motional amplitude is bigger compared with the motional amplitude of light user than body weight；The acceleration of motion of the user of the heavier-weight use lighter than body weight
The acceleration of motion at family is big；The motion frequency of the motion frequency of the user of the heavier-weight user lighter than body weight is low.
S204：The terminal device will be illegal in the exercise data, the physiological data and the sign data
Data are filtered.
In the embodiment of the present application, terminal device can be filtered invalid data.Wherein, invalid data be it is obvious not
Meet the data of physics law.For example, if the palmic rate of terminal device is per second under being 1000, this data are substantially to exceed
The physical endurance of the mankind, so, can by it is this substantially be disturb data data filtered.Above-mentioned example is only intended to
Citing, should not form specific restriction.
S205：Terminal device inputs the exercise data of the user, the physiological data and the sign data quiet
It is that the user sits quietly or movable to determine to sit judgment models, wherein, the judge module of sitting quietly can reflect described
Exercise data and the mapping relations of the active state.
In the embodiment of the present application, judgment models of sitting quietly be regression model, decision-tree model, supporting vector machine model and
At least one of Bayesian model.By taking motional amplitude, acceleration of motion, motion frequency as an example, judgment models of sitting quietly can be with table
It is shown as：
F (amplitude, velocity, frequency)=a*amplitudem+b*velocityn+c*frequencyt
+d
Wherein, a, b, c represent the weight of every factor, and m, n, t represent the index of each factor, and d represents adjustment increment.Specifically
During implementation, a, b, c, m, n, t and d value can be trained using machine learning algorithm.During training, substantial amounts of known fortune is used
Dynamic amplitude, known acceleration of motion, known motion frequency, and, it is the known motional amplitude, known acceleration of motion, known
Virtual condition corresponding to motion frequency (activity is sat quietly) is trained as input to model.
Needing what is illustrated, be not limited to above-mentioned algorithm expression formula, the judgment models f that sits quietly can also be other models,
Here it is not limited.Also, it is not limited to motional amplitude, acceleration of motion, motion frequency these three parameters, function f independent variable
It may include more or less parameters, i.e., described judgment models of sitting quietly can also judge user's from more various dimensions or less dimension
State.
S206：When the time of sitting quietly of the user being more than predetermined threshold value, terminal device reminds user's carry out activity.
In the embodiment of the present application, terminal can be reminded the user by a variety of alerting patterns.Wherein, remind
Mode includes at least one of auditory tone cues, text prompt and picture cues.For example, can be by playing melodious music
To remind user to get up activity, the word of " asking user's carry out activity " can be shown on the interface of terminal device to remind user
Get up activity, or, the picture of stroll can be shown on the interface of terminal device to remind user to get up activity.
In such scheme, by gathering the exercise data and physiological data of user, and according to the exercise data of user with
And physiological data determine user be stand or sit quietly, and sit quietly exceed certain time when, remind user's carry out activity so that
User can be reminded to avoid sitting quietly for a long time well, prevent the appearance of inferior health problem.
The above-mentioned method for illustrating the embodiment of the present invention, following for being easy to preferably implement the embodiment of the present invention
Such scheme, correspondingly, the relevant device for implementing such scheme for coordinating is also provided below.
Refering to Fig. 3, Fig. 3 is a kind of structural representation for movable alarm set that the embodiment of the present application provides.The present embodiment
Movable alarm set include：Acquisition module 310, determination module 320 and prompting module 330.
The acquisition module 310 is used for the exercise data that user is gathered by motion sensor, and, sensed by physiology
Device gathers the physiological data of the user.
The determination module 320 be used for by the exercise data of the user and physiological data input sit quietly judgment models with
Determine it is that the user sits quietly or movable, wherein, the judge module of sitting quietly can reflect the exercise data and institute
State the mapping relations of active state；
The prompting module 330 is used for when the time of sitting quietly of the user being more than predetermined threshold value, reminds the user to enter
Row activity.
In such scheme, by gathering the exercise data and physiological data of user, and according to the exercise data of user with
And physiological data determine user be stand or sit quietly, and sit quietly exceed certain time when, remind user's carry out activity so that
User can be reminded to avoid sitting quietly for a long time well, prevent the appearance of inferior health problem.
Refering to Fig. 4, Fig. 4 is the structural representation for another movable alarm set that the embodiment of the present application provides.This implementation
The movable alarm set of example includes：Receiving module 410, acquisition module 420, filtering module 430, determination module 440 and prompting
Module 450.
The acquisition module 420 is used for the exercise data that user is gathered by motion sensor, and, sensed by physiology
Device gathers the physiological data of the user；
The determination module 440 be used for by the exercise data of the user and physiological data input sit quietly judgment models with
Determine it is that the user sits quietly or movable, wherein, the judge module of sitting quietly can reflect the exercise data and institute
State the mapping relations of active state；
The prompting module 450 is used for when the time of sitting quietly of the user being more than predetermined threshold value, reminds the user to enter
Row activity.
Alternatively, the exercise data includes at least one in motional amplitude, acceleration of motion, motion frequency；It is described
Physiological data includes at least one of breathing, blood pressure and heartbeat.
Alternatively, the receiving module 410 is used for the sign data for receiving user's input, wherein, the sign data bag
Include at least one of height or body weight of the user；The determination module 440 be used for by the exercise data of the user,
It is that the user sits quietly or movable to determine that judgment models are sat quietly in physiological data and sign data input.
Alternatively, the judgment models of sitting quietly are regression model, decision-tree model, supporting vector machine model and Bayes
At least one of model.
Alternatively, described device also includes filtering module 430, the filtering module 430 be used for by the exercise data with
And the invalid data in the physiological data is filtered.
In such scheme, by gathering the exercise data and physiological data of user, and according to the exercise data of user with
And physiological data determine user be stand or sit quietly, and sit quietly exceed certain time when, remind user's carry out activity so that
User can be reminded to avoid sitting quietly for a long time well, prevent the appearance of inferior health problem.
Referring to Fig. 5, Fig. 5 is a kind of hardware architecture diagram of terminal device provided in an embodiment of the present invention.This implementation
Terminal device include：Processor 510, user interface 520, input-output unit 530, communication unit 540 and memory
550。
Processor 510 is the arithmetic center of heater, has powerful operational capability, can carry out various fortune at high speed
Calculate.Processor 510 can be CPU (Central Processing Unit, CPU), Digital Signal Processing
(Digital Signal Process, DSP) device, micro-control unit (MCU, Microcontroller Unit) or for performing
Logic circuit of control or computing etc..Processor 510 can be single core processor or polycaryon processor.
User interface (User Interface, UI) 520 is that the matchmaker exchanged with information is interacted between system and user
It is situated between, it realizes the internal form of information and the mankind can receive conversion between form.User interface 520 can connect including order
Mouth, routine interface, three kinds of graphic interface.
Input-output unit may include touch control unit 540 and other input equipments 550.Touch control unit 540 also referred to as touches
Display screen or Trackpad are touched, collecting touch operation of the user on or near it, (for example user is appointed using finger, stylus etc.
What operation of suitable object or annex on touch sensitive surface or near touch sensitive surface), and driven according to formula set in advance
Move corresponding attachment means.Optionally, touch control unit 540 may include both touch detecting apparatus and touch controller.Its
In, touch detecting apparatus detects the touch orientation of user, and detects the signal that touch operation is brought, and transmits a signal to touch control
Device processed；Touch controller receives touch information from touch detecting apparatus, and is converted into contact coordinate, then gives processor
510, and the order sent of reception processing device 510 and can be performed.Furthermore, it is possible to use resistance-type, condenser type, infrared ray with
And the polytype such as surface acoustic wave realizes touch sensitive surface.Except touch sensitive surface, input-output unit can also include other inputs
Equipment 550.Specifically, other input equipments 550 can include but is not limited to physical keyboard, function key (such as volume control press
Key, switch key etc.), trace ball, mouse, the one or more in action bars etc..
Communication unit 560 can use the wireless technologys such as cellular technology, Bluetooth technology, zibee technologies, WLAN to be led to
Letter, communication unit 560 can also use UART technologies, printing vocal imitation skill, USB technologies and cable-network transmission technology etc. wired
Technology is communicated.
Memory cell 570 can include internal storage and external memory storage.Internal storage is used for depositing current fortune
The instruction and data of line program, and information directly is exchanged with processor 510, it is the main source of the processing data of processor 510.It is interior
Portion's memory can include read-only storage and random access memory.External memory storage storage volume is big, and price is low, but stores speed
Degree is slow, for deposit a large amount of temporarily no programs, data and intermediate result, it is necessary to when, can enter in batch with internal storage
Row information exchanges.External memory storage can only exchange information with internal storage, it is impossible to direct by the miscellaneous part of computer system
Access.Conventional external memory storage has disk, tape, CD etc..
The execution of processor 510 states one or more than one program bag contains the instruction for being used for being operated below：
The exercise data of user is gathered by motion sensor；
The physiological data of the user is gathered by biosensor；
The exercise data of the user and physiological data input are sat quietly into judgment models to determine that the user is to sit quietly
Or activity, wherein, the judge module of sitting quietly can reflect that the mapping of the exercise data and the active state is closed
System；
When the time of sitting quietly of the user being more than predetermined threshold value, terminal device reminds user's carry out activity.
Alternatively, the exercise data includes at least one in motional amplitude, acceleration of motion, motion frequency；It is described
Physiological data includes at least one of breathing, blood pressure and heartbeat.
Alternatively, receive the sign data of user's input, wherein, the height of the sign data including the user or
At least one of body weight；
Exercise data, physiological data and the sign data input of the user is sat quietly into judgment models to determine the use
It is that family is sat quietly or movable.
Alternatively, the judgment models of sitting quietly are regression model, decision-tree model, supporting vector machine model and Bayes
At least one of model.
Alternatively, the invalid data in the exercise data and the physiological data is filtered.
In such scheme, by gathering the exercise data and physiological data of user, and according to the exercise data of user with
And physiological data determine user be stand or sit quietly, and sit quietly exceed certain time when, remind user's carry out activity so that
User can be reminded to avoid sitting quietly for a long time well, prevent the appearance of inferior health problem.
One of ordinary skill in the art will appreciate that realize all or part of flow in above-described embodiment method, being can be with
The hardware of correlation is instructed to complete by computer program, described program can be stored in a computer read/write memory medium
In, the program is upon execution, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, described storage medium can be magnetic
(R is to be heated for dish, CD, read-only memory (Re heated material d-Only Memory, ROM) or random access memory
Object ndom heated material ccess Memory, R heated material M) etc..
The above disclosed power for being only a kind of preferred embodiment of the present invention, the present invention can not being limited with this certainly
Sharp scope, one of ordinary skill in the art will appreciate that realizing all or part of flow of above-described embodiment, and weighed according to the present invention
Profit requires made equivalent variations, still falls within and invents covered scope.
Claims (10)
- A kind of 1. movable based reminding method, it is characterised in that including：Terminal device gathers the exercise data of user by motion sensor；Terminal device gathers the physiological data of the user by biosensor；The exercise data of the user and physiological data input are sat quietly judgment models to determine that the user is by terminal device It is sitting quietly or activity, wherein, the judge module of sitting quietly can reflect reflecting for the exercise data and the active state Penetrate relation；When the time of sitting quietly of the user being more than predetermined threshold value, terminal device reminds user's carry out activity.
- 2. according to the method for claim 1, it is characterised in that the exercise data include motional amplitude, acceleration of motion, It is at least one in motion frequency；The physiological data includes at least one of breathing, blood pressure and heartbeat.
- 3. according to the method for claim 1, it is characterised in that methods described also includes：Terminal device receives the sign data of user's input, wherein, the sign data includes the height or body of the user At least one of weight；The exercise data of the user and physiological data input are sat quietly judgment models to determine that the user is by terminal device It is sitting quietly or activity to include：Exercise data, physiological data and the sign data input of the user is sat quietly judgment models to determine by terminal device State that user sits quietly or movable.
- 4. according to the method for claim 1, it is characterised in that the judgment models of sitting quietly is regression model, decision tree moulds At least one of type, supporting vector machine model and Bayesian model.
- 5. according to the method described in Claims 1-4 any claim, it is characterised in that in terminal device by the user Exercise data and physiological data input sit quietly judgment models with determine it is that the user sits quietly or movable before, institute Stating method also includes：The terminal device is filtered the invalid data in the exercise data and the physiological data.
- A kind of 6. movable alarm set, it is characterised in that including：Acquisition module, determination module and prompting module,The acquisition module is used for the exercise data that user is gathered by motion sensor, and, gathered by biosensor The physiological data of the user；The determination module is used to the exercise data of the user and physiological data input sitting quietly judgment models to determine State it is that user sits quietly or movable, wherein, the judge module of sitting quietly can reflect the exercise data and the activity The mapping relations of state；The prompting module is used for when the time of sitting quietly of the user being more than predetermined threshold value, reminds user's carry out activity.
- 7. device according to claim 6, it is characterised in that the exercise data include motional amplitude, acceleration of motion, It is at least one in motion frequency；The physiological data includes at least one of breathing, blood pressure and heartbeat.
- 8. device according to claim 6, it is characterised in that described device also includes receiving module,The receiving module is used for the sign data for receiving user's input, wherein, the sign data includes the body of the user At least one of high or body weight；The determination module is used to the exercise data, physiological data and sign data of the user inputting judgment models of sitting quietly It is that the user sits quietly or movable to determine.
- 9. device according to claim 6, it is characterised in that the judgment models of sitting quietly is regression model, decision tree moulds At least one of type, supporting vector machine model and Bayesian model.
- 10. according to the device described in claim 6-9 any claims, it is characterised in that described device also includes filter module Block,The filtering module is used to be filtered the invalid data in the exercise data and the physiological data.
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| CN201710747460.4A CN107680649A (en) | 2017-08-26 | 2017-08-26 | Movable based reminding method and relevant device |
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| CN201710747460.4A CN107680649A (en) | 2017-08-26 | 2017-08-26 | Movable based reminding method and relevant device |
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| CN110584675A (en) * | 2019-09-30 | 2019-12-20 | 北京卡路里信息技术有限公司 | Information triggering method and device and wearable device |
| CN111028488A (en) * | 2019-10-31 | 2020-04-17 | 浙江工业大学 | A method of intelligent sedentary reminder based on PSO-SVM |
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Application publication date: 20180209 |