CN106859616A - A kind of monitoring method and terminal based on body area network - Google Patents
A kind of monitoring method and terminal based on body area network Download PDFInfo
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- CN106859616A CN106859616A CN201611199322.9A CN201611199322A CN106859616A CN 106859616 A CN106859616 A CN 106859616A CN 201611199322 A CN201611199322 A CN 201611199322A CN 106859616 A CN106859616 A CN 106859616A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
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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
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Abstract
A kind of monitoring method and terminal based on body area network are the embodiment of the invention provides, wherein, methods described includes：Target body characteristic is gathered using the multiple nodes in body area network；The variable quantity of motion index is calculated according to the target body characteristic；Variable quantity according to the motion index updates the first motion index for pre-setting, and obtains the second motion index；Second motion index is pushed to user.Implementing the embodiment of the present invention can be visually known the performance of the motion index after motion index is made.
Description
Technical field
The present invention relates to body area network field, and in particular to a kind of monitoring method and terminal based on body area network.
Background technology
In the prior art, bracelet can be used for measuring the physical characteristic datas such as heart rate, blood pressure, the step number of user, but, by
The data result obtained in bracelet measures the characteristics of human body of user merely by the sensor that bracelet is contacted with wrist
Data, thus, the physical characteristic data that it is measured is not accurate enough.
The content of the invention
A kind of monitoring method and terminal based on body area network are the embodiment of the invention provides, characteristics of human body can be entered exactly
Row monitoring.
Embodiment of the present invention first aspect provides a kind of monitoring method based on body area network, including：
Target body characteristic is gathered using the multiple nodes in body area network；
The variable quantity of motion index is calculated according to the target body characteristic；
Variable quantity according to the motion index updates the first motion index for pre-setting, and obtains the second motion index；
Second motion index is pushed to user.
Embodiment of the present invention second aspect provides a kind of terminal, including：
Collecting unit, for gathering target body characteristic using the multiple nodes in body area network；
Computing unit, the variable quantity for calculating motion index according to the target body characteristic；
Updating block, for updating the first motion index for pre-setting according to the variable quantity of the motion index, obtains
Second motion index；
Push unit, for second motion index to be pushed into user.
As can be seen that by the embodiment of the present invention, target body characteristic is gathered using the multiple nodes in body area network；
The variable quantity of motion index is calculated according to the target body characteristic；Variable quantity according to the motion index updates pre-
The first motion index for first setting, obtains the second motion index；Second motion index is pushed to user.So as to can be
After making motion index, the performance of the motion index is visually known.
Brief description of the drawings
Technical scheme in order to illustrate more clearly the embodiments of the present invention, below will be to that will make needed for embodiment description
Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the present invention, for ability
For the those of ordinary skill of domain, on the premise of not paying creative work, can also obtain other attached according to these accompanying drawings
Figure.
Fig. 1 is body area network network architecture schematic diagram provided in an embodiment of the present invention；
Fig. 1-1 is the Module Division schematic diagram of sensor node provided in an embodiment of the present invention；
Fig. 2 is that a kind of first embodiment flow of monitoring method based on body area network provided in an embodiment of the present invention is illustrated
Figure；
The refinement schematic flow sheet of the step of Fig. 2-1 is described in Fig. 2 provided in an embodiment of the present invention 201；
The refinement schematic flow sheet of the step of Fig. 2-2 is described in Fig. 2 provided in an embodiment of the present invention 202；
The refinement schematic flow sheet of the step of Fig. 2-3 is described in Fig. 2 provided in an embodiment of the present invention 204；
Fig. 3 a are a kind of first embodiment structural representations of terminal provided in an embodiment of the present invention.
Fig. 3 b are the structural representations of the collecting unit of the terminal described in Fig. 3 a provided in an embodiment of the present invention；
Fig. 3 c are the structural representations of the computing unit of the terminal described in Fig. 3 a provided in an embodiment of the present invention；
Fig. 3 d are the structural representations of the push unit of the terminal described in Fig. 3 a provided in an embodiment of the present invention；
Fig. 4 is a kind of second embodiment structural representation of terminal provided in an embodiment of the present invention.
Specific 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 is described, it is clear that described embodiment is a part of embodiment of the invention, rather than whole embodiments.Based on this hair
Embodiment in bright, the every other implementation that those of ordinary skill in the art are obtained under the premise of creative work is not made
Example, belongs to the scope of protection of the invention.
Term " first ", " second ", " the 3rd " in description and claims of this specification and the accompanying drawing and "
Four " it is etc. for distinguishing different objects, rather than for describing particular order.Additionally, term " comprising " and " having " and it
Any deformation, it is intended that covering non-exclusive is included.For example contain the process of series of steps or unit, method, be
System, product or equipment are not limited to the step of having listed or unit, but alternatively also include the step of not listing or list
Unit, or alternatively also include for these processes, method, product or other intrinsic steps of equipment or unit.
Referenced herein " embodiment " is it is meant that the special characteristic, structure or the characteristic that describe can be wrapped in conjunction with the embodiments
Containing at least one embodiment of the present invention.Each position in the description occur the phrase might not each mean it is identical
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
Terminal described by the embodiment of the present invention can include smart mobile phone (such as Android phone, iOS mobile phones,
Windows Phone mobile phones etc.), panel computer, palm PC, notebook computer, mobile internet device (MID, Mobile
Internet Devices) or Wearable etc., above-mentioned terminal is only citing, and non exhaustive, including but not limited to above-mentioned end
End.
It should be noted that as shown in figure 1, body body area network (Body Area Network, BAN) abbreviation body area network, is
Wearable sensors node with human body is attached to by multiple, the communication network that wireless aggregation node and radio network gateway are constituted
Network.Wearable sensors node is made up of flexible PCB, very compact, light, stabilization, and with sensing, calculating and leads to
Telecommunication function.Human body in Fig. 1 carries 6 sensor nodes, is distributed in the head of human body, shoulder, chest, hand, waist and
Foot position.The data that sensor node will be collected are processed and are sent to after being merged wireless aggregation node, wireless to converge
Node transmits the data to wireless body area network gateway again.The data that wireless body area network gateway will can be obtained send terminal to, use
Family can at any time check measurement result.Each sensor node can gather different types of data, realize different functions, each
Sensor node co-ordination, can be formed in the body area network of stabilization by communication technologys such as Wireless Fidelity wifi, bluetooth, ZigBee
Portion's communication network.
According to the difference of function, there is the infrared temperature sensor for surveying body temperature, survey the blood oxygen probe sensor of pulse, survey
Move the multiple sensors such as the 3-axis acceleration sensor of step number.As Figure 1-1, each sensor can be divided into data and adopt
Collection unit 10, data processing unit 20, data storage cell 30, wireless communication unit 40 and power subsystem 50.Data acquisition list
Unit 10 is used to gather original physical characteristic data；Data processing unit 20 is used for original characteristics of human body's data conversion into target person
Body characteristicses data, and the variable quantity of motion index is calculated, update the first motion index and obtain the second motion index；Data storage
Unit 30 is used for data storage information, the first motion index and the second motion index；Wireless communication unit 40 is used to carry out data
Communication, user is pushed to by the second motion index；Power subsystem 50 is used to provide energy to sensor.
Based on the body area network network architecture described by Fig. 1, Fig. 2 is referred to, be that one kind provided in an embodiment of the present invention is based on
The first embodiment schematic flow sheet of the monitoring method of body area network.The monitoring side based on body area network described in the present embodiment
Method, comprises the following steps：
201st, target body characteristic is gathered using the multiple nodes in body area network；
Alternatively, as shown in Fig. 2-1, above-mentioned steps 201 can be comprised the following steps：
2011st, original physical characteristic data is gathered using the multiple nodes in body area network, wherein, the original characteristics of human body
Data are following at least one：Body weight, body temperature, volume of perspiration, heart rate, fat ratio, blood pressure and activity information；
2012nd, the original physical characteristic data is carried out into data processing, obtains the target body characteristic.
Wherein, each sensor node at least includes a sensor in body area network, and each sensor node is distributed in
Each position of human body, can measure the characteristics of human body at each position, and the same feature of different parts may have different results.
Alternatively, the characteristics of human body can be body weight, body temperature, volume of perspiration, heart rate, fat ratio, blood pressure and activity
At least one in information.Each sensor node can detect a physical characteristic data or multiple physical characteristic datas.If certain
One physical characteristic data can be measured by multiple sensor nodes, can use the average value of multiple measurement result as objective result.
Alternatively, if a certain physical characteristic data is measured by multiple sensor nodes, multiple node is can use in different time
The average value of the physical characteristic data for measuring, or take the average value work of the physical characteristic data that multiple nodes are measured in the same time
It is objective result.
Optionally, body weight can be measured by Intelligent insole, and the Intelligent insole is internally provided with pressure sensor, institute
Stating pressure sensor can measure the body weight of people.For example if desired measure current time body weight, the liftable left foot of user, by the right side
The pressure sensor that the Intelligent insole of pin is built-in measures body weight, obtains an individual weight data, and then user lifts right crus of diaphragm again, passes through
The pressure sensor that the Intelligent insole of left foot is built-in measures body weight, obtains another weight data, and data on two individual weights are taken
Average value can draw body weight result, and user can be checked by terminal.
Alternatively, body weight, body temperature, volume of perspiration, heart rate, fat ratio, blood pressure and activity are collected in sensor node
After etc. physical characteristic data, the original human body that will can be collected by the data processing unit 20 of sensor node inner sensor is special
Levying data carries out data processing, obtains the target body characteristic.Heart rate is for example measured, sensor is by measuring in five seconds
Heartbeat how many times, then calculate heartbeat each time and spend duration, finally obtain the beats of a minute.
Alternatively, above-mentioned steps 2012 can be comprised the following steps (do not marked in figure)：
Obtain the change curve of the original physical characteristic data in preset time period；
Sampled in the change curve, obtained multiple sampled points；
Using the average of the data of the multiple sampled point as the target body characteristic.
Alternatively, in order to obtain more accurately physical characteristic data, the original physical characteristic data is being carried out into data
During treatment, the change curve of original physical characteristic data in Preset Time can be obtained, i.e., persistently to human body in preset time period
Feature is measured, and obtains change curve.Uniformly it is sampled in change curve, obtains multiple sampled values, this multiple is adopted
Sample value is averaged and obtains final result, used as target body characteristic.For example, when measurement of bldy temperature is carried out, obtaining body temperature
Change curve in Preset Time, samples in the conversion curve uniformly to body temperature, obtains the sampled value of multiple body temperature,
The average value of the body temperature value of this multiple sampling is taken, as objective body temperature value.
Optionally, if change curve of some physical characteristic datas in Preset Time finally tends to a stationary value, can
The stationary value is taken as target body characteristic.For example when the measurement of body weight is carried out, in Preset Time, the change of body weight
If change curve gradually changes linearly and no longer, the numerical value of the line correspondences can be taken as objective body weight values.
202nd, the variable quantity of motion index is calculated according to the target body characteristic；
Alternatively, as shown in Fig. 2-2, above-mentioned steps 202 can be comprised the following steps：
2021st, amount of energy and energy releasing amount are calculated according to the physical characteristic data；
2022nd, using the difference between the amount of energy and the energy releasing amount as the motion index change
Amount.
Wherein, the converted quantity of motion index determines by energy releasing amount and amount of energy, according to the multiple human bodies for measuring
Characteristic calculates the burst size of the energy of human body and the uptake of energy, then calculates amount of energy and energy release
Difference between amount.If the difference between amount of energy and the energy releasing amount is more than 0, the variable quantity of motion index is for just
Number, if the difference between amount of energy and the energy releasing amount is less than 0, the variable quantity of motion index is negative.
Alternatively, by measure the amount of exercise (such as step number, milimeter number, stretching hand with arm number of times etc.) of human body, Temperature changing,
The characteristics of human body such as volume of perspiration, fat ratio, blood pressure, heart rate can calculate body energy burst size, by measuring human body feed intake
The characteristics of human body such as (such as have a meal, drink water, eat fruit), fat ratio, body weight can calculate body energy uptake.
203rd, the variable quantity according to the motion index updates the first motion index for pre-setting, and obtains the second motion and refers to
Mark；
Wherein, first motion index can be set by user, and user can generate the first motion after making plan
Index.Such as user sets the time cycle in advance, and loss of weight jin number, terminal can calculate the motion index of daily requirement completion,
And as the first motion index.
Alternatively, after the variable quantity for calculating motion index, the numerical value of motion index variable quantity and the first motion are referred to
Target numerical value is added, and obtains the second motion index.Because the variable quantity of the motion index is probably positive number, it is also possible to negative
Number, so the second motion index is likely larger than the first motion index, it is also possible to less than or equal to the first motion index.If second
Motion index is 0, shows that user has completed same day index plan；If the second motion index is more than 0, show that user does not complete the same day
Index plan；If the second motion index is less than 0, show that user overfulfils same day index plan.
Optionally, if the second motion index is more than 0, show that user does not complete same day index plan, remaining index can be put down
It is added in remaining number of days, that is, updates the first motion index in remaining number of days；If the second motion index is less than 0, show to use
Same day index plan is overfulfiled at family, uniformly can subtract overages in the first motion index of remaining number of days, makes the first fortune
The numerical value of dynamic index is reduced.The first motion index is updated by dynamic, user can be conducive to complete loss of weight at the appointed time
Plan.
Alternatively, the unit of the motion index can be energy conventional unit joule, it is also possible to calorie, and user can be
Terminal carries out the conversion of joule and calorie.
204th, second motion index is pushed to user.
Alternatively, as Figure 2-3, above-mentioned steps 204 can be comprised the following steps：
2041st, second motion index pair is determined according to the corresponding relation between default motion index and warning message
The target alert information answered；
2042nd, the user is given by the target alert information pushing.
Alternatively, after the second motion index is calculated, the second motion index is pushed to user, allows user to understand first
The performance of motion index.User can at any time check the second motion index by terminal.
Optionally, can time segment second motion index is pushed to user.For example, each 4 hour is to user
Second motion index is pushed, can be by shake, sounding, display screen at least one implementation such as shinny to user's push one
Secondary second motion index, at the same can the motion index of affix second and the first motion index difference.By different time points
Push, can allow user understand each time period amount of exercise how, amount of exercise is preferably at most occur in which, while having time period
Exercise program was uniformly arranged in each time period beneficial to user.
Alternatively, when the second motion index is higher than the first motion index, grave warning information is sent to user；Second
When motion index is higher than the first predetermined threshold value, moderate warning message is sent to user；Preset less than second in the second motion index
During threshold value, prompt message is sent to user.First predetermined threshold value be more than the second predetermined threshold value, and the first predetermined threshold value and
Second predetermined threshold value is more than 0.When user does not complete the first motion index, for the completion feelings of the motion index of user first
Condition, sends the prompting message of different stage, allows user to understand motion conditions, and make the best use of time to improve amount of exercise.
As can be seen that by the embodiment of the present invention, target body characteristic is gathered using the multiple nodes in body area network；
The variable quantity of motion index is calculated according to the target body characteristic；Variable quantity according to the motion index updates pre-
The first motion index for first setting, obtains the second motion index；Second motion index is pushed to user.So as to can be
After making motion index, the performance of the motion index is visually known.
Consistent with the abovely, the dress of the monitoring method based on body area network for being provided for the implementation embodiments of the present invention below
Put, it is specific as follows：
Fig. 3 a are referred to, is a kind of example structure schematic diagram of terminal provided in an embodiment of the present invention.In the present embodiment
Described terminal, including：Collecting unit 301, computing unit 302, updating block 303 and push unit 304, it is specific as follows：
301st, collecting unit, for gathering target body characteristic using the multiple nodes in body area network；
302nd, computing unit, the variable quantity for calculating motion index according to the target body characteristic；
303rd, updating block, for updating the first motion index for pre-setting according to the variable quantity of the motion index,
Obtain the second motion index；
304th, push unit, for second motion index to be pushed into user.
Alternatively, the collecting unit 301 of the terminal as described in Fig. 3 b, Fig. 3 a may include：Acquisition module 3011 and place
Reason module 3012, it is specific as follows：
Acquisition module 3011, for gathering original physical characteristic data using the multiple nodes in body area network, wherein, it is described
Original physical characteristic data is following at least one：Body weight, body temperature, volume of perspiration, heart rate, fat ratio, blood pressure and activity letter
Breath；
Processing module 3012, for the original physical characteristic data to be carried out into data processing, obtains the target body
Characteristic.
Further, above-mentioned processing module 3012 may include：Acquisition module (not marked in figure), sampling module are (in figure not
Mark) and the first determining module (not marked in figure), it is specific as follows：
Acquisition module, the change curve for obtaining the original physical characteristic data in preset time period；
Sampling module, for being sampled in the change curve, obtains multiple sampled points；
First determining module, for using the average of the data of the multiple sampled point as the target body characteristic
According to.
Alternatively, the computing unit 302 of the terminal as described in Fig. 3 c, Fig. 3 a may include：Computing module 3021 and
Two determining modules 3022, it is specific as follows：
Computing module 3021, for calculating amount of energy and energy releasing amount according to the physical characteristic data；
Second determining module 3022, for using the difference between the amount of energy and the energy releasing amount as institute
State the variable quantity of motion index.
Alternatively, the push unit 304 of the terminal as described in Fig. 3 d, Fig. 3 a may include：Determining module 3041 and push away
Module 3042 is sent, it is specific as follows：
3rd determining module 3041, for determining institute according to the corresponding relation between default motion index and warning message
State the corresponding target alert information of the second motion index；
Pushing module 3042, for giving the user by the target alert information pushing.
As can be seen that by the embodiment of the present invention, target body characteristic is gathered using the multiple nodes in body area network；
The variable quantity of motion index is calculated according to the target body characteristic；Variable quantity according to the motion index updates pre-
The first motion index for first setting, obtains the second motion index；Second motion index is pushed to user.So as to can be
After making motion index, the performance of the motion index is visually known.
Fig. 4 is referred to, is a kind of second embodiment structural representation of terminal provided in an embodiment of the present invention.The present embodiment
Described in terminal, including：At least one input equipment 1000；At least one output equipment 2000；At least one processor
3000, such as CPU；With memory 4000, above-mentioned input equipment 1000, output equipment 2000, processor 3000 and memory
4000 are connected by bus 5000.
Wherein, above-mentioned input equipment 1000 concretely contact panel, physical button or mouse.
The concretely display screen of above-mentioned output equipment 2000.
Above-mentioned memory 4000 can be high-speed RAM memory, or nonvolatile storage (non-volatile
Memory), such as magnetic disk storage.Above-mentioned memory 4000 is used to store batch processing code, above-mentioned input equipment 1000, defeated
Going out equipment 2000 and processor 3000 is used to call the program code stored in memory 4000, performs following operation：
Target body characteristic is gathered using the multiple nodes in body area network；
The variable quantity of motion index is calculated according to the target body characteristic；
Variable quantity according to the motion index updates the first motion index for pre-setting, and obtains the second motion index；
Second motion index is pushed to user.
Alternatively, multiple nodes collection target body characteristic of the above-mentioned processor 3000 in the utilization body area network
According to, including：
Original physical characteristic data is gathered using the multiple nodes in body area network, wherein, the original physical characteristic data
It is following at least one：Body weight, body temperature, volume of perspiration, heart rate, fat ratio, blood pressure and activity information；
The original physical characteristic data is carried out into data processing, the target body characteristic is obtained.
Alternatively, the original physical characteristic data is carried out data processing by above-mentioned processor 3000 described, obtains institute
Target body characteristic is stated, including：
Obtain the change curve of the original physical characteristic data in preset time period；
Sampled in the change curve, obtained multiple sampled points；
Using the average of the data of the multiple sampled point as the target body characteristic.
Alternatively, above-mentioned processor 3000 is in the change that motion index is calculated according to the physical characteristic data
Amount, including：
Amount of energy and energy releasing amount are calculated according to the physical characteristic data；
Using the difference between the amount of energy and the energy releasing amount as the motion index variable quantity.
Alternatively, second motion index is pushed to user by above-mentioned processor 3000, including：
Determine that second motion index is corresponding according to the corresponding relation between default motion index and warning message
Target alert information；
The user is given by the target alert information pushing.
The embodiment of the present invention also provides a kind of computer-readable storage medium, wherein, the computer-readable storage medium can be stored with journey
Sequence, the program perform when including any one described in above method embodiment be based on body area network monitoring method part or
Overall Steps.
Although invention has been described to combine each embodiment herein, however, implementing the present invention for required protection
During, those skilled in the art are by checking the accompanying drawing, disclosure and appended claims, it will be appreciated that and it is real
Other changes of the existing open embodiment.In the claims, " including " (comprising) one word be not excluded for other composition
Part or step, "a" or "an" are not excluded for the situation of multiple.Single processor or other units can realize claim
In some functions enumerating.Mutually different has been recited in mutually different dependent some measures, it is not intended that these are arranged
Apply to combine and produce good effect.
It will be understood by those skilled in the art that embodiments of the invention can be provided as method, device (equipment) or computer journey
Sequence product.Therefore, in terms of the present invention can be using complete hardware embodiment, complete software embodiment or combination software and hardware
The form of embodiment.And, the present invention can be used and wherein include the calculating of computer usable program code at one or more
The computer program implemented in machine usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.Computer program is stored/distributed in suitable medium, is provided together with other hardware or as the one of hardware
Part, it would however also be possible to employ other distribution forms, such as passes through Internet or other wired or wireless telecommunication systems.
The present invention be with reference to the embodiment of the present invention method, device (equipment) and computer program product flow chart with/
Or block diagram is described.It should be understood that each flow during flow chart and/or block diagram can be realized by computer program instructions and/
Or the combination of the flow and/or square frame in square frame and flow chart and/or block diagram.These computer program instructions can be provided
To the processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices producing one
Individual machine so that produced for realizing by the instruction of computer or the computing device of other programmable data processing devices
The device of the function of being specified in one flow of flow chart or multiple one square frame of flow and/or block diagram or multiple square frames.
These computer program instructions may be alternatively stored in can guide computer or other programmable data processing devices with spy
In determining the computer-readable memory that mode works so that instruction of the storage in the computer-readable memory is produced and include finger
Make the manufacture of device, the command device realize in one flow of flow chart or multiple one square frame of flow and/or block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that in meter
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented treatment, so as in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
Although with reference to specific features and embodiment, invention has been described, it is clear that, do not departing from this hair
In the case of bright spirit and scope, various modifications and combinations can be carried out to it.Correspondingly, the specification and drawings are only institute
The exemplary illustration of the invention that attached claim is defined, and be considered as covered in the scope of the invention any and all and repair
Change, change, combining or equivalent.Obviously, those skilled in the art the present invention can be carried out it is various change and modification without
Depart from the spirit and scope of the present invention.So, if it is of the invention these modification and modification belong to the claims in the present invention and its
Within the scope of equivalent technologies, then the present invention is also intended to comprising these changes and modification.
Claims (10)
1. a kind of monitoring method based on body area network, it is characterised in that including：
Target body characteristic is gathered using the multiple nodes in body area network；
The variable quantity of motion index is calculated according to the target body characteristic；
Variable quantity according to the motion index updates the first motion index for pre-setting, and obtains the second motion index；
Second motion index is pushed to user.
2. method according to claim 1, it is characterised in that the multiple nodes collection target person in the utilization body area network
Body characteristicses data, including：
Gather original physical characteristic data using the multiple nodes in body area network, wherein, the original physical characteristic data be with
Lower at least one：Body weight, body temperature, volume of perspiration, heart rate, fat ratio, blood pressure and activity information；
The original physical characteristic data is carried out into data processing, the target body characteristic is obtained.
3. method according to claim 2, it is characterised in that described to carry out at data the original physical characteristic data
Reason, obtains the target body characteristic, including：
Obtain the change curve of the original physical characteristic data in preset time period；
Sampled in the change curve, obtained multiple sampled points；
Using the average of the data of the multiple sampled point as the target body characteristic.
4. the method according to any one of claims 1 to 3, it is characterised in that described according to the physical characteristic data meter
The variable quantity of motion index is calculated, including：
Amount of energy and energy releasing amount are calculated according to the physical characteristic data；
Using the difference between the amount of energy and the energy releasing amount as the motion index variable quantity.
5. the method according to any one of claims 1 to 3, it is characterised in that described to push second motion index
To user, including：
The corresponding target of second motion index is determined according to the corresponding relation between default motion index and warning message
Warning message；
The user is given by the target alert information pushing.
6. a kind of terminal, it is characterised in that including：
Collecting unit, for gathering target body characteristic using the multiple nodes in body area network；
Computing unit, the variable quantity for calculating motion index according to the target body characteristic；
Updating block, for updating the first motion index for pre-setting according to the variable quantity of the motion index, obtains second
Motion index；
Push unit, for second motion index to be pushed into user.
7. terminal according to claim 6, it is characterised in that the collecting unit includes：
Acquisition module, for gathering original physical characteristic data using the multiple nodes in body area network, wherein, the original human body
Characteristic is following at least one：Body weight, body temperature, volume of perspiration, heart rate, fat ratio, blood pressure and activity information；
Processing module, for the original physical characteristic data to be carried out into data processing, obtains the target body characteristic.
8. terminal according to claim 7, it is characterised in that the processing module includes：
Acquisition module, the change curve for obtaining the original physical characteristic data in preset time period；
Sampling module, for being sampled in the change curve, obtains multiple sampled points；
First determining module, for using the average of the data of the multiple sampled point as the target body characteristic.
9. the terminal according to any one of claim 6 to 8, it is characterised in that the computing unit includes：
Computing module, for calculating amount of energy and energy releasing amount according to the physical characteristic data；
Second determining module, for referring to the difference between the amount of energy and the energy releasing amount as the motion
Target variable quantity.
10. the terminal according to any one of claim 6 to 8, it is characterised in that the push unit includes：
3rd determining module, for determining second fortune according to the corresponding relation between default motion index and warning message
The corresponding target alert information of dynamic index；
Pushing module, for giving the user by the target alert information pushing.
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| CN201611199322.9A CN106859616A (en) | 2016-12-22 | 2016-12-22 | A kind of monitoring method and terminal based on body area network |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20230123441A1 (en) * | 2020-04-13 | 2023-04-20 | Leomo, Inc. | Stability evaluation system, program, and method |
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Application publication date: 20170620 |