CN109620180A - Control method, apparatus, equipment and the storage medium of wearable device alarm - Google Patents
Control method, apparatus, equipment and the storage medium of wearable device alarm Download PDFInfo
- Publication number
- CN109620180A CN109620180A CN201910040459.7A CN201910040459A CN109620180A CN 109620180 A CN109620180 A CN 109620180A CN 201910040459 A CN201910040459 A CN 201910040459A CN 109620180 A CN109620180 A CN 109620180A
- Authority
- CN
- China
- Prior art keywords
- data
- physical condition
- dimension
- analyzed
- wearable device
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
-
- 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
- A61B5/021—Measuring pressure in heart or blood vessels
-
- 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
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02438—Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1116—Determining posture transitions
- A61B5/1117—Fall detection
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1118—Determining activity level
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
- A61B5/6803—Head-worn items, e.g. helmets, masks, headphones or goggles
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
- A61B5/681—Wristwatch-type devices
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/7465—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network
- A61B5/747—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network in case of emergency, i.e. alerting emergency services
Abstract
This application involves method, apparatus, equipment and the storage mediums of a kind of control wearable device alarm.This method is related to data analysis technique field, and method includes: to obtain the various kinds of sensors data of wearable device acquisition；Determine that physical condition corresponding with each sensor monitors dimension；Fluction analysis is carried out to corresponding sensing data in each physical condition monitoring dimension, obtains monitoring the analysis result in dimension in corresponding physical condition；Each analysis result is matched with physical condition sample data, obtains the matching result for indicating the physical condition of active user；When determining that active user is in the hole based on matching result, then alarm command is triggered.It can be improved the accuracy that alarm command is triggered by wearable device using this method.
Description
Technical field
This application involves field of computer technology, more particularly to a kind of control wearable device alarm method, apparatus,
Computer equipment and computer readable storage medium.
Background technique
With the development of Intelligent hardware, intelligent wearable equipment is also more more and more universal, integrates in intelligent wearable equipment
Function it is also more and more, for example user can monitor the pulse, blood pressure and sleep etc. of user when having worn the smart machine,
Warning function can also be triggered, to guarantee the personal safety of user especially old man or children.But it is most of on the market at present to wear
The formula equipment of wearing can only trigger manually alarm by user when user experiences uncomfortable or dangerous, be delayed alarm opportunity, or
Person, only single carry out cardioelectric monitor, when monitoring that electrocardiosignal is abnormal, triggering alarm, but cardioelectric monitor be easy to by
To user movement influence and generate temporary exception, thus in this way triggering alarm mode be it is inaccurate, easily occur
Erroneous judgement, can not be effectively ensured the safety of user.
Summary of the invention
Based on this, it is necessary in view of the above technical problems, provide a kind of control of accuracy that can be improved triggering alarm
Method, apparatus, computer equipment and the storage medium of wearable device alarm.
A method of control wearable device alarm, which comprises
Obtain the various kinds of sensors data of wearable device acquisition；
Determine that physical condition corresponding with each sensor monitors dimension；
Fluction analysis is carried out to corresponding sensing data in each physical condition monitoring dimension, is obtained corresponding
Physical condition monitors the analysis result in dimension；
Each analysis result is matched with physical condition sample data, obtains the body for indicating active user
The matching result of state；
When determining that active user is in the hole based on the matching result, then alarm command is triggered.
In one embodiment, described that wave is carried out to corresponding sensing data in each physical condition monitoring dimension
Dynamic analysis, the analysis result obtained in corresponding physical condition monitoring dimension include:
Various kinds of sensors data are divided into more parts of data to be analyzed with prefixed time interval respectively；
The data to be analyzed that same time period is corresponded in different sensors data are constituted into data group to be analyzed；
Fluction analysis is carried out to every part in the data group to be analyzed data to be analyzed respectively, obtains each number to be analyzed
Corresponding analysis result in dimension is monitored in each physical condition according to group.
In one embodiment, described to match each analysis result with physical condition sample data, it is used
Include: in the matching result for the physical condition for indicating active user
It obtains physical condition sample data and marks result accordingly；
The data group to be analyzed is monitored into corresponding analysis result and the body in dimension in each physical condition
State sample data are matched；
Using the corresponding label result of matched physical condition sample data as the corresponding matching of the data group to be analyzed
As a result.
In one embodiment, described when determining that active user is in the hole based on the matching result, then it touches
Sending out alarm command includes:
When corresponding matching result indicates that active user's data group to be analyzed in the hole is more than preset ratio number
When amount, then the alarm command sought help to specified relief side is triggered.
In one embodiment, the method also includes:
Dangerous field locating for active user is determined according to the analysis result in each physical condition monitoring dimension
Scape；
The triggering alarm command includes:
Determining relief side corresponding with the danger scene identifies；
The relief side represented to relief side mark issues the alarm command sought help.
In one embodiment, the method also includes:
Obtain voice data of saving oneself corresponding with the danger scene；
By voice data of saving oneself described in the wearable device loop play, to prompt active user by the language of saving oneself
Sound data are saved oneself.
In one embodiment, the sensing data includes temperature data, blood pressure data, pulse data, accelerates degree
According to, at least one of displacement data, travel frequency data and move angle data.
A kind of device of control wearable device alarm, described device include:
Module is obtained, for obtaining the various kinds of sensors data of wearable device acquisition；
Determining module, for determining that physical condition corresponding with each sensor monitors dimension；
Fluction analysis module, for being fluctuated in each physical condition monitoring dimension to corresponding sensing data
Analysis obtains monitoring the analysis result in dimension in corresponding physical condition；
Each analysis result is matched with physical condition sample data, is obtained for indicating current by matching module
The matching result of the physical condition of user；
Alarm module, for when determining that active user is in the hole based on the matching result, then triggering alarm
Instruction.
A kind of computer equipment can be run on a memory and on a processor including memory, processor and storage
Computer program, the processor perform the steps of when executing the computer program
Obtain the various kinds of sensors data of wearable device acquisition；
Determine that physical condition corresponding with each sensor monitors dimension；
Fluction analysis is carried out to corresponding sensing data in each physical condition monitoring dimension, is obtained corresponding
Physical condition monitors the analysis result in dimension；
Each analysis result is matched with physical condition sample data, obtains the body for indicating active user
The matching result of state；
When determining that active user is in the hole based on the matching result, then alarm command is triggered.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor
It is performed the steps of when row
Obtain the various kinds of sensors data of wearable device acquisition；
Determine that physical condition corresponding with each sensor monitors dimension；
Fluction analysis is carried out to corresponding sensing data in each physical condition monitoring dimension, is obtained corresponding
Physical condition monitors the analysis result in dimension；
Each analysis result is matched with physical condition sample data, obtains the body for indicating active user
The matching result of state；
When determining that active user is in the hole based on the matching result, then alarm command is triggered.
Method, apparatus, computer equipment and the storage medium of above-mentioned control wearable device alarm, it is wearable by obtaining
The various kinds of sensors data that equipment currently acquires, determining after corresponding with various kinds of sensors physical condition monitors dimension can be
Fluction analysis is carried out to corresponding sensing data in each physical condition monitoring dimension, obtains monitoring in corresponding physical condition and tie up
Analysis on degree is obtained for indicating current as a result, then again match each analysis result with physical condition sample data
The matching result of the physical condition of user then triggers alarm when matching result can indicate that active user is in the hole
Instruction.Since the corresponding analysis result of sensing data of various kinds of sensors acquisition can embody active user in different body shapes
State monitors the state in dimension, in this way, the physical state matches of the active user matched based on these analysis results
As a result various factors are just combined, so that the accuracy of the alarm command based on matching result triggering has very big mention
It is high.
Detailed description of the invention
Fig. 1 is the application scenario diagram of the method for control wearable device alarm in one embodiment；
Fig. 2 is the flow diagram of the method for control wearable device alarm in one embodiment；
Fig. 3 is the block schematic illustration that various kinds of sensors data are successively analyzed in one embodiment；
Fig. 4 is the structural block diagram of the device of control wearable device alarm in one embodiment；
Fig. 5 is the internal structure chart of computer equipment in one embodiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, not
For limiting the application.
The method of control wearable device alarm provided by the present application, can be applied in application environment as shown in Figure 1.
Wherein, wearable device 102 is communicated with server 104 by network by network.Wearable device can obtain in real time
The various kinds of sensors data of acquisition determine that physical condition corresponding with each sensor monitors dimension, monitor and tie up in each physical condition
Fluction analysis is carried out to corresponding sensing data on degree, obtains monitoring the analysis result in dimension in corresponding physical condition；
Each analysis result is matched with physical condition sample data, obtains for indicating the physical condition of active user
With result；When determining that active user is in the hole based on matching result, then alarm command is triggered.Wherein, wearable to set
Standby 102 can be, but not limited to be various portable wearable intelligent earphones, smartwatch, intelligent glasses and Intelligent bracelet
It can be realized with the server cluster of the either multiple servers compositions of independent server Deng, server 104.
In some embodiments, the various kinds of sensors that wearable intelligent equipment 102 will can also be acquired in real time by network
Data are sent to server 104, are analyzed by server 104 received various kinds of sensors data, with based on the analysis results
It controls wearable intelligent equipment 102 and triggers alarm command.
In one embodiment, as shown in Fig. 2, providing a kind of method of control wearable device alarm, in this way
Applied to being illustrated for the wearable device 102 in Fig. 1, comprising the following steps:
Step 202, the various kinds of sensors data of wearable device acquisition are obtained.
Wherein, various sensors, including cardiotach ometer, accelerometer, pedometer, blood pressure be may be configured in wearable device
Meter, thermometer, gyroscope etc..Specifically, wearable device can obtain the energy of these sensors acquisition of itself configuration in real time
Enough reflect the various kinds of sensors data of current user state.Wearable device can also monitor that it is bright that a certain sensing data occurs
When aobvious unusual fluctuations, triggering obtains the various kinds of sensors data acquired in real time.
In one embodiment, before step 202, the various kinds of sensors data for obtaining wearable device acquisition, control
The method of wearable device alarm further include: the heart rate data that monitoring acquires in real time is used when being determined according to current heart rate data
The current heart rate in family is when in an abnormal state, then triggers and obtain the various kinds of sensors number that the various kinds of sensors of configuration acquires in real time
According to.
Specifically, wearable device is when monitoring that heart rate is abnormal, in the preset period of time before acquisition current time
The corresponding sensing data of all the sensors.Wherein, the condition that heart rate is abnormal includes: that the change rate of heart rate data is more than pre-
If threshold value, the change rate of heart rate data is more than that preset threshold has corresponded to user and is currently at that heart rate increases sharply or that heart rate is unstable is different
Normal state.
In one embodiment, sensing data includes temperature data, blood pressure data, pulse data, acceleration information, position
Move at least one of data, travel frequency data and move angle data.It should be noted that wearable device can also be according to
The intermediate data that demand is calculated convenient for analysis based on the original sensing data that various kinds of sensors acquires in real time, for example, it is flat
Mean value, change rate, maximum value, minimum value, fluctuating range etc., wearable device can be based on the intermediate data being calculated into one
The physical condition of step analysis active user.
Wherein, the fluctuation of temperature data can reflect out the severe degree of current user activities, and activity is more violent, current to use
The body temperature at family can rise.Pulse data, blood pressure data fluctuation during exercise with it is in the hole be different, such as people
Pulse, blood pressure are irregular under dangerous situation, but pulse, blood pressure are to be stepped up in the case of running
, therefore the fluctuation of pulse data, blood pressure data also can be used as a factor for judging user's current body state.Accelerate degree
According to can reflect out the human body corresponding acceleration of three directions X, Y and Z in the sky, human body acceleration spatially and human body
Posture has close relationship.Displacement data can reflect out the motion amplitude of people.Travel frequency data refer to be passed according to acceleration
The change rate of the calculated acceleration information of sensor data, for example it is not that people, which is in the change rate of acceleration information under dangerous situation,
Rule, but the variation of displacement data and travel frequency is relatively regular in the case of running.Move angle data can
To judge that human body relative to ground is horizontal, inclination or vertical.Therefore, it is monitored in conjunction with the above in different physical conditions
The analysis result that sensing data in dimension obtains can be used for judging whether user is currently in the hole.
Step 204, determine that physical condition corresponding with each sensor monitors dimension.
Wherein, physical condition monitoring dimension refers to the dimension being monitored to the physical condition of user.Specifically, from above
The corresponding physical condition monitoring dimension of different sensor known to the expression meaning of the various kinds of sensors data referred to is different, need to adopt
Different analysis modes is taken to analyze corresponding sensing data.The corresponding physical condition monitoring dimension of temperature data is people
Body body temperature, the corresponding physical condition monitoring dimension of pulse data, blood pressure data is physiological signal index, acceleration information, displacement
Data, travel frequency data and the corresponding physical condition monitoring dimension of move angle data are the variations of body posture.
Step 206, fluction analysis is carried out to corresponding sensing data in each physical condition monitoring dimension, obtained in phase
The analysis result in physical condition monitoring dimension answered.
In some embodiments, for the various kinds of sensors data of acquisition, dimension can be monitored in corresponding physical condition
Upper carry out parallel parsing, the analysis result based on parallel parsing are matched.It can also be according to preset matching priority, successively
Various kinds of sensors data are analyzed, final matching result is determined based on analysis result.
In some embodiments, the sensing data that wearable device obtains can be preset duration before current point in time
Data, such as data before current point in time in 3 minutes.Current point in time can obtain all the sensors acquisition for triggering
The corresponding trigger time of sensing data.
In one embodiment, as shown in figure 3, according to preset matching priority, various kinds of sensors data are successively analyzed,
Following manner specifically can be used: after getting various kinds of sensors data, for the temperature data currently obtained, will can directly be somebody's turn to do
The average temperature data that temperature data is under tranquility with user compares, and calculates relative to the different of tranquil temperature data
Normal percentage, to confirm that active user is in strenuous exercise's state or tranquility.Then, the displacement number for currently obtaining
According to the change rate of displacement data being calculated, to confirm whether change rate has exceeded certain fluctuation range, to confirm active user
Whether in regular motion state or violent fight state.Then, it for the move angle data currently obtained, can determine whether
Active user is in state of couching or standing state, or constantly changes between state of couching or standing state.Finally, for
Blood pressure data and pulse data, can be calculated according to blood pressure data and heart rate data in preset duration corresponding change rate of heartbeat,
Whether blood pressure change rate, heart rate or blood pressure are lower than preset threshold or change rate of heartbeat, blood pressure change rate, heart rate or blood pressure are
It is no to be higher than preset threshold, to determine the vital sign state of active user.
In one embodiment, step 206, wave is carried out to corresponding sensing data in each physical condition monitoring dimension
Dynamic analysis obtains the analysis result in corresponding physical condition monitoring dimension specifically includes the following steps: respectively by all kinds of biographies
Sensor data are divided into more parts of data to be analyzed with prefixed time interval；Same time period will be corresponded in different sensors data
Data to be analyzed constitute data group to be analyzed；Fluction analysis is carried out to every part in data group to be analyzed data to be analyzed respectively, is obtained
Corresponding analysis result in dimension is monitored in each physical condition to each data group to be analyzed.
Specifically, for the various kinds of sensors data of acquisition, it can be spaced at preset timed intervals and draw every class sensing data
It is divided into more parts of data to be analyzed, the data to be analyzed that same time period is then corresponded in different sensors data constitute number to be analyzed
According to group, for each data to be analyzed in the data group to be analyzed of obtained multiple corresponding different time points, in respective body
It is analyzed in status monitoring dimension, obtains the corresponding analysis result of data group to be analyzed.
For example, configuring 6 sensors of corresponding different physical condition monitoring dimensions in wearable device, it is followed successively by temperature biography
Sensor, accelerometer, measuring unit, gyroscope, cardiotach ometer, sphygmomanometer are getting this 6 sensor distance current points in time
After the sensing data acquired in first 3 minutes, every class sensing data was divided every 10 seconds, by every class sensing data
18 parts of data to be analyzed are divided into, then constitute the data to be analyzed for corresponding to same time period in every class sensing data wait divide
Data group is analysed, 18 parts of data groups to be analyzed are obtained, includes having corresponded to 6 parts in different time periods wait divide in every part of data group to be analyzed
Analyse data.For each of obtained 18 parts of data groups to be analyzed data to be analyzed, all monitors and tie up in corresponding physical condition
Fluction analysis is carried out on degree.Mode corresponding from different physical conditions monitoring dimension mentioned hereinabove specifically can be used to obtain respectively
Analysis result of a sensing data within this each period.Analyze the available abnormal percentage relative to normal data of result
It indicates, for example, the corresponding analysis result of 6 sensors is respectively as follows: in first data group to be analyzed
120%, 10%, -50%, 12%, -30%, 20%,
Analysis result can also be indicated according to according to the situation of change of data with physical condition.For example, at first wait divide
Analysis result in analysis data in each dimension is respectively as follows:
Body temperature increases 5 degree, and movable amplitude is abnormal, and moving distance is chaotic, falls, and heart rate increases sharply, and blood pressure increases sharply.
In the present embodiment, after the sensing data refinement that will acquire, to various kinds of sensors data in same time period
It is analyzed, the state of user can be fluctuated in different physical condition monitoring dimensions on the time point more refined
Analysis, is analyzed as a result, making the matching result made based on the analysis result more accurate.
Step 208, each analysis result is matched with physical condition sample data, is obtained for indicating active user's
The matching result of physical condition.
Specifically, wearable device can be by analysis knot of each sensing data in each physical condition monitoring dimension
Fruit is matched with physical condition sample data, obtains matching result, and matching result determines whether wearable device will trigger
Alarm command.For example, when the corresponding analysis result of pulse data is " heart rate stopping " and the corresponding analysis knot of move angle data
Fruit is " tumble ", and corresponding matching result is that active user is in " precarious position " after carrying out Data Matching；When pulse data pair
The analysis result answered is " heart rate surge " and the corresponding analysis of acceleration information is the result is that " regular activity ", carries out data
It is that active user is in " safe condition " with rear corresponding matching result.It is above-mentioned to be only used for for example, in some embodiments,
Matching result needs to comprehensively consider the corresponding analysis result of each sensing data.
In one embodiment, each analysis result is matched with physical condition sample data, is obtained for indicating to work as
The matching result of the physical condition of preceding user includes: to obtain physical condition sample data and mark result accordingly；It will be wait divide
Analysis data group corresponding analysis result in each physical condition monitoring dimension is matched with physical condition sample data；It will matching
The corresponding label result of physical condition sample data as the corresponding matching result of data group to be analyzed.
Specifically, the various kinds of sensors for the wearable device acquisition that user wears when available movable in different scenes
Data, different scenes had both included external factor difference or the difference including User Status.External factor includes environmental factor, than
Such as hot environment, clammy environment, cold environment, User Status include the non-activity state of user, sit state, run state, the state that lies down,
Sleep state and abnormal condition (meeting with dangerous) etc., obtain and adopt when user wears wearable device under various different scenes
The sensing data of collection extracts a large amount of physical condition sample data from these sensing datas, and is each body shape
Aspect notebook data determines corresponding label result.Alternatively, can be according to obtained sensing data in the way of being mentioned above
The analysis in each physical condition monitoring dimension is counted as a result, using the analysis result on different dimensions as physical condition sample
Data.In some embodiments, label result may include that active user is in a safe condition and one of precarious position.Mark
Remember that result can also include scene identity.
Therefore, after obtaining physical condition sample data and corresponding label result, data group can be analysed to each
Corresponding analysis result is matched with physical condition sample data in physical condition monitoring dimension, and matched process is exactly from big
The determining and the most similar one group of data of data group to be analyzed in physical condition sample data are measured, then by matched physical condition
The corresponding label result of sample data is as the corresponding matching result of data group to be analyzed.In some embodiments, wearable to set
It is standby the corresponding analysis result of each data group to be analyzed to be sent to server, by server will analyze result in database
Physical condition sample data matched.
Step 210, when determining that active user is in the hole based on matching result, then alarm command is triggered.
Specifically, when matching result can indicate that active user is in the hole, then triggering to relief side for reporting
Alert alarm command.In some embodiments, wearable device can also be asked after triggering alarm command to specified number call
Help phone.In a specific application scenarios, SIM card, the SIM card of installation corresponding phone can be installed in wearable device
Number is bound in advance with designated number, then the alarm command triggered can be used for dialing relief phone to the designated number, for example,
SIM card is main card in wearable device, and designated number is telephone number corresponding with the vice card that the main card is bound, alternatively, wearing
Wearing SIM card in formula equipment is vice card, and designated number is telephone number corresponding with the main card that the vice card is bound.It answers at other
With that in scene, can also install instant messaging application program in wearable device, the alarm command of triggering is used for wearable device
Request of seeking help is sent to the terminal of specified good friend by instant messaging application program, and by network.
In one embodiment, it when determining that active user is in the hole based on matching result, then triggers alarm and refers to
Order includes: when corresponding matching result indicates that active user's data group to be analyzed in the hole is more than preset ratio quantity
When, then trigger the alarm command sought help to specified relief side.
Specifically, in a step 208, wearable device is after obtaining the corresponding matching result of each data group to be analyzed,
Counting, which indicates current there are the corresponding matching result of the data group to be analyzed of how many ratio quantity in all data groups to be analyzed, uses
Family is in the hole, when being more than preset ratio quantity, then triggers the alarm command sought help to specified relief side.
For example, 18 groups of data groups to be analyzed are obtained according to the sensing data of acquisition, if depositing in the example being mentioned above
It is " precarious position " being more than the 60% corresponding matching result of data group to be analyzed, then triggers alarm command.Specified relief side
It can be public relief side and be also possible to the private relief side that active user specifies.
In the present embodiment, determined whether to trigger alarm command energy according to the corresponding matching result of multiple groups data group to be analyzed
It is accurately, so that the trigger condition of alarm command more meets practical need that enough further guarantee analyses, which obtain current user state,
It asks.
In the method for above-mentioned control wearable device alarm, the various kinds of sensors that is currently acquired by obtaining wearable device
Data can monitor in dimension in each physical condition to phase after determining physical condition monitoring dimension corresponding with various kinds of sensors
The sensing data answered carries out fluction analysis, obtains monitoring the analysis in dimension in corresponding physical condition as a result, then again will
Each analysis result is matched with physical condition sample data, obtains the matching knot for indicating the physical condition of active user
Fruit then triggers alarm command when matching result can indicate that active user is in the hole.Since various kinds of sensors acquires
Sensing data it is corresponding analysis result can embody active user different physical conditions monitoring dimension on state, this
Sample, based on physical state matches results of active user that these analysis results are matched just combine it is various because
Element can be improved matched accuracy, so that the accuracy of the alarm command based on matching result triggering is greatly improved.
In one embodiment, method further include: worked as according to the analysis result determination in each physical condition monitoring dimension
Dangerous scene locating for preceding user；Triggering alarm command comprises determining that relief side corresponding with dangerous scene identifies；To relief side
The represented relief side of mark issues the alarm command sought help.
Specifically, active user institute can also be determined according to corresponding analysis result in dimension is monitored in different physical conditions
The dangerous scene at place determines relief side's mark corresponding with the danger scene, and triggers the relief represented to relief side's mark
Just issue the alarm command sought help.For example, judging hyperpyrexia according to the analysis result in each dimension, abnormal body temperature percentage is most
Greatly, acceleration information variation is too fast, then can determine that dangerous scene locating for active user is fire scenario, then urgency is dialed in triggering
It rescues phone and is sent to hospital or fire brigade after location information is converted to voice messaging.For another example, according to point in each dimension
Analysis result judges hyperpiesia, heart rate emergency stop is judged according to heart rate data, if detecting these situations, it is determined that active user
Locating dangerous scene is burst acute disease, then triggers and dial ambulance call to hospital and location information is converted to voice messaging
After be sent to hospital.For another example, it determines that human body is in a kind of fight posture of confusion according to the analysis result in each dimension, then touches
Hair dials the police emergency number and is sent to the police after location information is converted to voice messaging.Due to combining different physical condition prisons
The analysis in dimension is surveyed as a result, allowing to improve the accuracy of alarm under these complicated scenes.
In one embodiment, method further include: obtain voice data of saving oneself corresponding with dangerous scene；By wearable
Equipment loop play is saved oneself voice data, to prompt active user to save oneself by voice data of saving oneself.
Wherein, voice data of saving oneself is the voice data for prompting user to save oneself.Active user institute is being determined
After the dangerous scene at place, the corresponding voice data of saving oneself under the danger scene, and loop play can be obtained, user can be prompted
It saves oneself according to the voice data of saving oneself of broadcasting.
In a specific embodiment, control wearable device alarm method specifically includes the following steps:
1, the various kinds of sensors data of wearable device acquisition are obtained；
2, determine that physical condition corresponding with each sensor monitors dimension；
3, various kinds of sensors data are divided into more parts of data to be analyzed with prefixed time interval respectively；
4, the data to be analyzed that same time period is corresponded in different sensors data are constituted into data group to be analyzed；
5, fluction analysis is carried out to every part in data group to be analyzed data to be analyzed respectively, obtains each data group to be analyzed and exists
Corresponding analysis result in each physical condition monitoring dimension；
6, it obtains physical condition sample data and marks result accordingly；
7, data group corresponding analysis result and physical condition sample number in each physical condition monitoring dimension are analysed to
According to being matched；
8, it is tied the corresponding label result of matched physical condition sample data as the corresponding matching of data group to be analyzed
Fruit.
9, dangerous scene locating for active user is determined according to the analysis result in each physical condition monitoring dimension；
10, when corresponding matching result indicates that active user's data group to be analyzed in the hole is more than preset ratio
When quantity, it is determined that relief side's mark corresponding with dangerous scene；
11, the alarm command sought help is issued to the represented relief side of relief side's mark.
12, voice data of saving oneself corresponding with dangerous scene is obtained；
13, saved oneself voice data by wearable device loop play, with prompt active user by save oneself voice data into
Row is saved oneself.
It should be understood that although each step in the flow chart of Fig. 2, Fig. 3 is successively shown according to the instruction of arrow,
It is these steps is not that the inevitable sequence according to arrow instruction successively executes.Unless expressly stating otherwise herein, these steps
There is no stringent sequences to limit for rapid execution, these steps can execute in other order.Moreover, in Fig. 2, Fig. 3 extremely
Few a part of step may include that perhaps these sub-steps of multiple stages or stage are not necessarily same to multiple sub-steps
Moment executes completion, but can execute at different times, and the execution sequence in these sub-steps or stage is also not necessarily
It successively carries out, but in turn or can be handed over at least part of the sub-step or stage of other steps or other steps
Alternately execute.
In one embodiment, as shown in figure 4, providing a kind of device 400 of control wearable device alarm, comprising:
Obtain module 402, determining module 404, fluction analysis module 406, matching module 408 and alarm module 410, in which:
Module 402 is obtained, for obtaining the various kinds of sensors data of wearable device acquisition；
Determining module 404, for determining that physical condition corresponding with each sensor monitors dimension；
Fluction analysis module 406, for being fluctuated in each physical condition monitoring dimension to corresponding sensing data
Analysis obtains monitoring the analysis result in dimension in corresponding physical condition；
Matching module 408 is obtained for matching each analysis result with physical condition sample data for indicating to work as
The matching result of the physical condition of preceding user；
Alarm module 410 refers to for when determining that active user is in the hole based on matching result, then triggering alarm
It enables.
In one embodiment, fluction analysis module 406 is also used to respectively by various kinds of sensors data between preset time
Every being divided into more parts of data to be analyzed；The data to be analyzed that same time period is corresponded in different sensors data are constituted to be analyzed
Data group；Fluction analysis is carried out to every part in data group to be analyzed data to be analyzed respectively, obtains each data group to be analyzed each
Physical condition monitors corresponding analysis result in dimension.
In one embodiment, matching module 408 is also used to obtain physical condition sample data and corresponding label knot
Fruit；It is analysed to data group corresponding analysis result and the progress of physical condition sample data in each physical condition monitoring dimension
Match；Using the corresponding label result of matched physical condition sample data as the corresponding matching result of data group to be analyzed.
In one embodiment, alarm module 410 is also used to indicate that active user is in danger when corresponding matching result
When the data group to be analyzed of state is more than preset ratio quantity, then the alarm command sought help to specified relief side is triggered.
In one embodiment, the device 400 of control wearable device alarm further includes dangerous scene determining module, dangerous
Scene determining module is used to determine dangerous field locating for active user according to the analysis result in each physical condition monitoring dimension
Scape；Alarm module is also used to determining relief side corresponding with dangerous scene and identifies；The relief side represented to relief side's mark is sent out
The alarm command sought help out.
In one embodiment, the device 400 of control wearable device alarm further includes voice data acquisition module of saving oneself,
Voice data of saving oneself obtains module for obtaining voice data of saving oneself corresponding with dangerous scene；It is broadcast by wearable device circulation
Voice data of saving oneself is put, to prompt active user to save oneself by voice data of saving oneself.
In one embodiment, sensing data includes temperature data, blood pressure data, pulse data, acceleration information, position
Move at least one of data, travel frequency data and move angle data.
In the device 400 of above-mentioned control wearable device alarm, all kinds of biographies that are currently acquired by obtaining wearable device
Sensor data can monitor in dimension after determining physical condition monitoring dimension corresponding with various kinds of sensors in each physical condition
Fluction analysis is carried out to corresponding sensing data, obtains the analysis in corresponding physical condition monitoring dimension as a result, then
Each analysis result is matched with physical condition sample data again, obtains the matching for indicating the physical condition of active user
As a result, then triggering alarm command when matching result can indicate that active user is in the hole.Since various kinds of sensors is adopted
The corresponding analysis result of the sensing data of collection can embody state of the active user in different physical conditions monitoring dimension, this
Sample, based on physical state matches results of active user that these analysis results are matched just combine it is various because
Element can be improved matched accuracy, so that the accuracy of the alarm command based on matching result triggering is greatly improved.
The specific restriction of device 400 about control wearable device alarm may refer to wearable above for controlling
The restriction of the method for equipment alarm, details are not described herein.Modules in the device 400 of above-mentioned control wearable device alarm
It can be realized fully or partially through software, hardware and combinations thereof.Above-mentioned each module can be embedded in the form of hardware or independently of
In processor in computer equipment, it can also be stored in a software form in the memory in computer equipment, in order to locate
It manages device and calls the corresponding operation of the above modules of execution.
In one embodiment, a kind of computer equipment is provided, which can be wearable device, in
Portion's structure chart can be as shown in Figure 5.The computer equipment includes that the processor, memory, network connected by system bus connects
Mouth and loudspeaker.Wherein, the processor of the computer equipment is for providing calculating and control ability.The storage of the computer equipment
Device includes non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system and computer program.
The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The computer is set
Standby network interface is used to communicate with external server by network connection.The computer program is executed by processor Shi Yishi
A kind of method of existing control wearable device alarm.
It will be understood by those skilled in the art that structure shown in Fig. 5, only part relevant to application scheme is tied
The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to application scheme, specific computer equipment
It may include perhaps combining certain components or with different component layouts than more or fewer components as shown in the figure.
In one embodiment, the device 400 of control wearable device alarm provided by the present application can be implemented as one kind
The form of computer program, computer program can be run in computer equipment as shown in Figure 5.The memory of computer equipment
In can store form the control wearable device alarm device 400 each program module, for example, acquisition mould shown in Fig. 4
Block 402, determining module 404, fluction analysis module 406, matching module 408 and alarm module 410.What each program module was constituted
The control wearable device that computer program makes processor execute each embodiment of the application described in this specification is alarmed
Method in step.
For example, the device that computer equipment shown in fig. 5 can be alarmed by control wearable device as shown in Figure 4
Acquisition module 402 in 400 executes step 202.Computer equipment can execute step 204 by determining module 404.Computer is set
It is standby to execute step 206 by fluction analysis module 406.Computer equipment can execute step 208 by matching module 408.Meter
Step 210 can be executed by alarm module 410 by calculating machine equipment.
In one embodiment, a kind of computer equipment, including memory and processor are provided, memory is stored with meter
Calculation machine program, when computer program is executed by processor, so that the method that processor executes above-mentioned control wearable device alarm
The step of.The step of method of control wearable device alarm can be the control wearable device of above-mentioned each embodiment herein
Step in the method for alarm.
In one embodiment, a kind of computer readable storage medium is provided, computer program, computer journey are stored with
When sequence is executed by processor, so that the step of processor executes the method for above-mentioned control wearable device alarm.Control is worn herein
The step of wearing the method for formula equipment alarm can be the step in the method for the control wearable device alarm of above-mentioned each embodiment
Suddenly.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided herein,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
Each technical characteristic of above embodiments can be combined arbitrarily, for simplicity of description, not to above-described embodiment
In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance
Shield all should be considered as described in this specification.
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the concept of this application, various modifications and improvements can be made, these belong to the protection of the application
Range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.
Claims (10)
1. a kind of method of control wearable device alarm, which comprises
Obtain the various kinds of sensors data of wearable device acquisition；
Determine that physical condition corresponding with each sensor monitors dimension；
Fluction analysis is carried out to corresponding sensing data in each physical condition monitoring dimension, is obtained in corresponding body
Analysis result in status monitoring dimension；
Each analysis result is matched with physical condition sample data, obtains the physical condition for indicating active user
Matching result；
When determining that active user is in the hole based on the matching result, then alarm command is triggered.
2. the method according to claim 1, wherein described monitor in dimension in each physical condition to corresponding
Sensing data carry out fluction analysis, obtain corresponding physical condition monitor dimension on analysis result include:
Various kinds of sensors data are divided into more parts of data to be analyzed with prefixed time interval respectively；
The data to be analyzed that same time period is corresponded in different sensors data are constituted into data group to be analyzed；
Fluction analysis is carried out to every part in the data group to be analyzed data to be analyzed respectively, obtains each data group to be analyzed
The corresponding analysis result in each physical condition monitoring dimension.
3. according to the method described in claim 2, it is characterized in that, described by each analysis result and physical condition sample number
According to being matched, obtaining the matching result for indicating the physical condition of active user includes:
It obtains physical condition sample data and marks result accordingly；
The data group to be analyzed is monitored into corresponding analysis result and the physical condition in dimension in each physical condition
Sample data is matched；
Using the corresponding label result of matched physical condition sample data as the corresponding matching result of the data group to be analyzed.
4. according to the method described in claim 3, it is characterized in that, described ought be determined at active user based on the matching result
When precarious position, then triggering alarm command includes:
When corresponding matching result indicates that active user's data group to be analyzed in the hole is more than preset ratio quantity,
Then trigger the alarm command sought help to specified relief side.
5. the method according to claim 1, which is characterized in that the method also includes:
Dangerous scene locating for active user is determined according to the analysis result in each physical condition monitoring dimension；
The triggering alarm command includes:
Determining relief side corresponding with the danger scene identifies；
The relief side represented to relief side mark issues the alarm command sought help.
6. according to the method described in claim 5, it is characterized in that, the method also includes:
Obtain voice data of saving oneself corresponding with the danger scene；
By voice data of saving oneself described in the wearable device loop play, to prompt active user by the voice number of saving oneself
According to saving oneself.
7. the method according to claim 1, which is characterized in that the sensing data includes temperature number
According to, at least one in blood pressure data, pulse data, acceleration information, displacement data, travel frequency data and move angle data
Kind.
8. a kind of device of control wearable device alarm, which is characterized in that described device includes:
Module is obtained, for obtaining the various kinds of sensors data of wearable device acquisition；
Determining module, for determining that physical condition corresponding with each sensor monitors dimension；
Fluction analysis module, for carrying out fluctuation point to corresponding sensing data in each physical condition monitoring dimension
Analysis obtains monitoring the analysis result in dimension in corresponding physical condition；
Matching module is obtained for matching each analysis result with physical condition sample data for indicating current
The matching result of the physical condition of user；
Alarm module, for when determining that active user is in the hole based on the matching result, then triggering alarm command.
9. a kind of computer equipment, including memory and processor, the memory are stored with computer program, feature exists
In the step of processor realizes any one of claims 1 to 7 the method when executing the computer program.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
The step of method described in any one of claims 1 to 7 is realized when being executed by processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910040459.7A CN109620180B (en) | 2019-01-16 | 2019-01-16 | Method, device, equipment and storage medium for controlling wearable equipment to alarm |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910040459.7A CN109620180B (en) | 2019-01-16 | 2019-01-16 | Method, device, equipment and storage medium for controlling wearable equipment to alarm |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109620180A true CN109620180A (en) | 2019-04-16 |
| CN109620180B CN109620180B (en) | 2023-03-28 |
Family
ID=66061004
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910040459.7A Active CN109620180B (en) | 2019-01-16 | 2019-01-16 | Method, device, equipment and storage medium for controlling wearable equipment to alarm |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109620180B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111012321A (en) * | 2019-12-11 | 2020-04-17 | 心核心科技(北京)有限公司 | Method and device for adjusting physical indication, readable medium and electronic equipment |
| CN111685744A (en) * | 2020-06-17 | 2020-09-22 | 中祖建设安装工程有限公司 | Health monitoring method and system for forbidden personnel |
| CN111899825A (en) * | 2020-07-27 | 2020-11-06 | 深圳微控科技有限公司 | Health data management method and device, computer equipment and storage medium |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110032098A1 (en) * | 2009-08-06 | 2011-02-10 | Cheng-Yun Yang | Portable electronic apparatus with a user physical status sensing and warning circuit |
| CN102473203A (en) * | 2009-07-15 | 2012-05-23 | 皇家飞利浦电子股份有限公司 | Method for automatic setting time varying parameter alert and alarm limits |
| EP2528016A1 (en) * | 2011-05-26 | 2012-11-28 | Fujitsu Limited | A method for analysing sensor data |
| CN103876711A (en) * | 2014-03-27 | 2014-06-25 | 北京圣博亚科技有限公司 | Wearable electronic device and human body health monitoring and managing system |
| US20140197947A1 (en) * | 2013-01-14 | 2014-07-17 | Michael S. Bahorich | Diagnostics method based on input from multiple users of wearable sensors |
| CN104113618A (en) * | 2014-08-06 | 2014-10-22 | 石家庄恒运网络科技有限公司 | Flexible screen based wearable monitoring device |
| CN104252577A (en) * | 2014-09-11 | 2014-12-31 | 来安县新元机电设备设计有限公司 | Remote physical sign monitoring method, physical sign monitoring terminal and remote monitoring terminal |
| CN106993845A (en) * | 2017-04-12 | 2017-08-01 | 佛山市丈量科技有限公司 | A kind of Intelligent insole towards health |
| CN107180071A (en) * | 2017-03-29 | 2017-09-19 | 暨南大学 | A kind of big data risk identification based on mobile intelligent terminal, early warning and emergent platform |
| CN207912677U (en) * | 2017-05-16 | 2018-09-28 | 中国医学科学院北京协和医院 | Various dimensions information data acquisition analysis system |
-
2019
- 2019-01-16 CN CN201910040459.7A patent/CN109620180B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102473203A (en) * | 2009-07-15 | 2012-05-23 | 皇家飞利浦电子股份有限公司 | Method for automatic setting time varying parameter alert and alarm limits |
| US20110032098A1 (en) * | 2009-08-06 | 2011-02-10 | Cheng-Yun Yang | Portable electronic apparatus with a user physical status sensing and warning circuit |
| EP2528016A1 (en) * | 2011-05-26 | 2012-11-28 | Fujitsu Limited | A method for analysing sensor data |
| US20140197947A1 (en) * | 2013-01-14 | 2014-07-17 | Michael S. Bahorich | Diagnostics method based on input from multiple users of wearable sensors |
| CN103876711A (en) * | 2014-03-27 | 2014-06-25 | 北京圣博亚科技有限公司 | Wearable electronic device and human body health monitoring and managing system |
| CN104113618A (en) * | 2014-08-06 | 2014-10-22 | 石家庄恒运网络科技有限公司 | Flexible screen based wearable monitoring device |
| CN104252577A (en) * | 2014-09-11 | 2014-12-31 | 来安县新元机电设备设计有限公司 | Remote physical sign monitoring method, physical sign monitoring terminal and remote monitoring terminal |
| CN107180071A (en) * | 2017-03-29 | 2017-09-19 | 暨南大学 | A kind of big data risk identification based on mobile intelligent terminal, early warning and emergent platform |
| CN106993845A (en) * | 2017-04-12 | 2017-08-01 | 佛山市丈量科技有限公司 | A kind of Intelligent insole towards health |
| CN207912677U (en) * | 2017-05-16 | 2018-09-28 | 中国医学科学院北京协和医院 | Various dimensions information data acquisition analysis system |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111012321A (en) * | 2019-12-11 | 2020-04-17 | 心核心科技(北京)有限公司 | Method and device for adjusting physical indication, readable medium and electronic equipment |
| CN111685744A (en) * | 2020-06-17 | 2020-09-22 | 中祖建设安装工程有限公司 | Health monitoring method and system for forbidden personnel |
| CN111899825A (en) * | 2020-07-27 | 2020-11-06 | 深圳微控科技有限公司 | Health data management method and device, computer equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109620180B (en) | 2023-03-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109620180A (en) | Control method, apparatus, equipment and the storage medium of wearable device alarm | |
| CN105264585B (en) | The method and apparatus for leaving the risk of safety zone for determining patient | |
| CN106343979B (en) | Resting heart rate measuring method and device and wearable equipment comprising device | |
| CN110179198A (en) | The method for early warning and device of intelligent safety helmet | |
| CN108597176A (en) | A kind of safe early warning method and wearable device based on wearable device | |
| US20190008465A1 (en) | Generating an indicator of a condition of a patient | |
| CN109659030A (en) | For determining device, the method and apparatus readable medium of consumer's risk | |
| EP2845539B1 (en) | Device and method for automatically normalizing the physiological signals of a living being | |
| CN109330576B (en) | Control starting method and electronic equipment | |
| US11931150B2 (en) | Wrist-worn impairment detection and methods for using such | |
| CN110366387A (en) | Measurement and assessment sleep quality | |
| CN109036541A (en) | A kind of use based reminding method and the wearable device of wearable device | |
| CN105827869A (en) | Anti-addiction method for mobile terminal, anti-addiction device for mobile terminal, and mobile terminal | |
| CN108711256A (en) | The energy saving intellectual analysis of the personal safety by all kinds of means alarm method of one kind and system | |
| AU2019200869B2 (en) | Alert System | |
| JP2016129629A (en) | Biological state estimation device | |
| KR102187389B1 (en) | Device, system and method for managing the person in quarantine | |
| CN108538024A (en) | A kind of personal safety intellectual analysis alarm method and system by all kinds of means | |
| CN113491508A (en) | Electronic device and atrial fibrillation early warning method and medium thereof | |
| KR102190759B1 (en) | System and mehtod for monitering emergency situation | |
| US20190274554A1 (en) | Apparatus and method for determining circulatory disease potential | |
| KR101774702B1 (en) | System and method for reporting the emergency situation automatically | |
| CN108765873A (en) | The energy saving intellectual analysis of the personal safety by all kinds of means alarm tracking of one kind and system | |
| CN112565519B (en) | Message reminding method and device, electronic equipment and readable storage medium | |
| CN112700874A (en) | Intelligent community modular management system and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |