CN114220243A - Tumble monitoring method, device, equipment and system - Google Patents
Tumble monitoring method, device, equipment and system Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0407—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
- G08B21/043—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis detecting an emergency event, e.g. a fall
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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
- A61B5/103—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
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- A—HUMAN NECESSITIES
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Abstract
The invention discloses a tumble monitoring method, which only needs to acquire acceleration and position information acquired by equipment, and does not need to identify tumble by detection equipment, so that the dependence on the detection equipment is small; the acceleration and the position information can be detected during the arbitrary movement of the user, so that the limitation on the detection place is small; meanwhile, in the process of tumble detection, after the current moving state is determined according to the acceleration and the position information, the difference comparison is carried out on the current moving state according to the conventional state range generated by the conventional moving information statistical analysis on the target, the different moving habits of different targets are considered, and the accurate recognition analysis aiming at different users can be realized. Therefore, the method not only can reduce the dependence on detection equipment, but also can identify accurate identification aiming at different objects. The invention also discloses a tumble monitoring device, equipment and a tumble monitoring system, which have corresponding technical effects.
Description
Technical Field
The invention relates to the technical field of safety guarantee, in particular to a tumble monitoring method, device, equipment and system.
Background
With the rapid development of society, the life of people is more and more convenient, but often when science and technology develops at a high speed, the development and care of a crowd can be forgotten unintentionally, that is, the old people group. The old people are cared by no people to become an increasingly common problem in society, and although the living standard of people is greatly improved, the health of the old people is not cared by the old people. The old and children neglect to take care of the frequently occurred accidents such as acute diseases, tumble and the like. How to realize the security guarantee for the old people by analyzing the requirements and difficulties of the old people group in the current society becomes more and more important.
At present, the fall detection for the old depends on detection equipment, such as video detection, acoustic detection and the like, is limited by detection places, is not suitable for the requirements of the old, and has high recognition precision due to the influence of external factors such as environment and the like.
In summary, how to realize stable high-precision fall detection on the basis of reducing the limitation of detection places is a technical problem which needs to be solved urgently by those skilled in the art at present.
Disclosure of Invention
The invention aims to provide a tumble monitoring method, a tumble monitoring device, tumble monitoring equipment and a tumble monitoring system, which can reduce the limitation of detection places and realize stable high-precision tumble detection.
In order to solve the technical problems, the invention provides the following technical scheme:
a fall monitoring method comprising:
acquiring acceleration information and position information acquired and generated in the movement of a target;
matching the acceleration information corresponding to each position information as movement information;
analyzing the moving state of the moving information to obtain a state value;
if the state value exceeds the conventional state range, starting tumble early warning; wherein the regular state range is generated according to regular movement information statistical analysis of the target.
Optionally, the acquiring acceleration information and position information collected and generated in the movement of the target includes: acquiring multi-directional acceleration in the movement of a target as the acceleration information and acquiring corresponding position information; wherein the multi-directional acceleration accounts for gravity;
accordingly, the analyzing the moving state of the moving information includes:
carrying out vector sum calculation on the multi-direction acceleration to obtain an acceleration vector sum;
and taking the acceleration vector sum as the state value.
Optionally, before the initiating the fall warning, the method further comprises:
judging whether the acceleration vector sum is continuously lower than a lowest movement threshold value within a preset time interval after the state value exceeds the conventional state range;
and if so, executing the step of starting the early warning of falling.
Optionally, before the initiating the fall warning, the method further comprises:
outputting whether to send first-aid information;
and if a confirmation reply is received, executing the step of starting the tumble warning.
Optionally, the initiating fall warning comprises:
determining the time and position information of the movement state exceeding the abnormal early warning range, and respectively taking the time and position information as the falling time and the falling position;
adding the falling time and the falling position into an emergency information template to generate emergency information;
and sending the first-aid information to a guardian terminal.
Optionally, the fall monitoring method further includes:
determining a conventional moving speed according to the conventional moving information;
determining a moving track and a moving distance according to the position information in the target movement;
determining the step number of the target according to the moving distance and the conventional moving speed;
and recording the moving track, the moving distance and the step number as the walking information.
Optionally, before acquiring the generated acceleration information and the position information during the movement of the object, the method further includes:
acquiring position information of the target;
determining historical movement information matched with the current movement route according to the position information;
calculating a movement difference value between the current movement and the historical movement according to the historical movement information and the position information;
judging whether the movement difference value exceeds a threshold value;
and if so, judging that the target is likely to fall down, and executing the step of acquiring the acceleration information and the position information generated by the acquisition in the movement of the target.
A fall monitoring device comprising:
the information acquisition unit is used for acquiring acceleration information and position information acquired and generated in the movement of a target;
an information matching unit for matching the position information corresponding to the acceleration information as movement information;
the state analysis unit is used for carrying out movement state analysis on the movement information to obtain a state value; if the state value exceeds the conventional state range, triggering a tumbling early warning unit; wherein the normal state range is generated according to normal movement information statistical analysis of the target;
and the fall early warning unit is used for starting the fall early warning.
A fall monitoring device comprising:
a memory for storing a computer program;
a processor for implementing the steps of the fall monitoring method described above when executing the computer program.
A fall monitoring system comprising: a mobile terminal and a fall monitoring device as described above;
the mobile terminal is used for acquiring the acceleration of a user as acceleration information and acquiring the position information of the user through the acceleration sensor;
and the fall monitoring equipment is used for acquiring the acceleration information and the position information to monitor the fall.
According to the method provided by the embodiment of the invention, only the acceleration and the position information acquired by the equipment are needed to be acquired, and the detection equipment does not need to perform tumble identification, so that the dependence on the detection equipment is small; the acceleration and the position information can be detected during the arbitrary movement of the user, so that the limitation on the detection place is small; meanwhile, in the process of tumble detection, after the current moving state is determined according to the acceleration and the position information, the difference comparison is carried out on the current moving state according to the conventional state range generated by the conventional moving information statistical analysis on the target, the different moving habits of different targets are considered, and the accurate recognition analysis aiming at different users can be realized. Therefore, the method not only can reduce the dependence on detection equipment, but also can identify accurate identification aiming at different objects.
Correspondingly, the embodiment of the invention also provides a fall monitoring device, equipment and a system corresponding to the fall monitoring method, which have the technical effects and are not described herein again.
Drawings
In order to more clearly illustrate the embodiments of the present invention or technical solutions in related arts, the drawings used in the description of the embodiments or related arts will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart illustrating an embodiment of a fall monitoring method according to the present invention;
fig. 2 is a schematic structural diagram of a fall monitoring device according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a fall monitoring device according to an embodiment of the present invention.
Detailed Description
The core of the invention is to provide a tumble monitoring method, which can reduce the limitation of detection places and realize stable high-precision tumble detection.
In order that those skilled in the art will better understand the disclosure, the invention will be described in further detail with reference to the accompanying drawings and specific embodiments. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a flowchart of a fall monitoring method according to an embodiment of the present invention, the method including the following steps:
s101, acquiring acceleration information and position information acquired and generated in target movement;
in the method, the acquisition mode of the acceleration and position information is not limited, and in order to reduce the wearing and use restrictions of the user, the sensor in the mobile phone can be called to acquire data.
When the person falls due to loss of balance, the body of the person falls in one direction, and the person loses balance involuntarily. When the body falls to the moving direction instantly, the gravity center of the body generates a larger acceleration value, and the method mainly judges whether the target falls or not according to the acceleration value generated by the target.
The position information refers to real-time position coordinates of the target, the position of the user can be determined through the position information, accurate analysis can be carried out on different moving states of different users at different positions according to the position, and differentiation and accurate identification of different users are achieved.
S102, matching position information corresponding to the acceleration information as movement information;
because the acquired acceleration information and the acquired position information are acquired separately, in order to realize accurate analysis of the moving states at different positions, the acceleration information and the position information need to be combined, and corresponding acceleration information is matched at each position, so that different moving state analyses can be realized according to the positions.
The process of matching the position information corresponding to the acceleration information may refer to an information matching process in the prior art, and the implementation of information matching between the acceleration information and the position information is not described herein again.
S103, analyzing the moving state of the moving information to obtain a state value;
the person is converted from a standing or flat sitting posture to a lying down posture under unconscious conditions, namely, the person falls. In the posture transition process, the moving state of the person, such as acceleration, speed, displacement and the like, is changed, and the moving state of the user can be analyzed through the moving information, so that the body posture of the user can be analyzed.
For the moving state analysis mode, the posture can be learned and recognized through a deep learning network, and the recognized posture is used as a state value; the specified parameters may also be calculated for the movement information, and the calculated parameters are used as state values, etc., and the specific analysis method is not limited in this embodiment, and the movement state analysis method may be set according to the actual application needs.
S104, if the state value exceeds the conventional state range, starting fall early warning; wherein, the regular state range is generated according to the regular movement information statistical analysis of the target.
After the real-time state value of the user is obtained, the real-time state value of the user is compared with a conventional state range, wherein the conventional state range is a state value range which is generated according to the statistical analysis of the target conventional movement information and is used for indicating that the user is in a conventional movement state (not falling down) at different positions, the calculation modes of the current state value of the state range in the conventional movement state need to be mutually corresponding to ensure the compatibility of range comparison, and because the evaluation mode of the state value in the step is not limited, the evaluation mode of the conventional state range in the step is not limited, and the description of the step can be referred to, and is not repeated herein.
Because the mobile habits of different users and the mobile modes at different positions are different, the analysis difficulty of the fall analysis of the current mobile state is higher, the analysis algorithm is complex, the time consumption is long, and the accuracy is limited.
If the state value does not exceed the conventional state range, the user is instructed that no unexpected situation occurs during the movement according to the conventional state, the processing mode under the situation is not limited in the embodiment, and the step S101 can be skipped to perform real-time detection and analysis of the movement state; if the state value exceeds the conventional state range, the current moving state is indicated to be abnormal, some unexpected situations possibly exist in the user, the user is judged to fall in order to avoid possible damage to the user caused by the unexpected situations, and the fall early warning is started.
The fall early warning means a treatment measure triggered after judging that the user falls down, and the specific mode can be set according to the actual user requirement, for example, alarm sound can be output so as to prompt people nearby the user to treat or contact a hospital or the like with the nearest distance; considering that a user may be in a single place in a closed space, time and position information of which the moving state exceeds an abnormal early warning range can be determined to be respectively used as falling time and falling position in order to facilitate relevant personnel to timely handle the emergency falling condition of the user; adding the falling time and the falling position into an emergency information template to generate emergency information; and sending the first-aid information to the guardian terminal. Under this kind of fall early warning mode, both can let the guardian in time acquire the information that the user fell, can let the guardian know the user information when falling again, including the time of falling and the place of falling, wherein the place of falling can be linked to the map to the guardian knows positional information fast, thereby in time carries out corresponding rescue. It should be noted that, in this embodiment, only the above-mentioned fall warning method is taken as an example for description, and other implementation manners can refer to the description of this embodiment, which is not described herein again.
Based on the introduction, the technical scheme provided by the embodiment of the invention only needs to acquire the acceleration and the position information acquired by the equipment, and does not need the detection equipment to carry out tumble identification, so that the dependence on the detection equipment is small; the acceleration and the position information can be detected during the arbitrary movement of the user, so that the limitation on the detection place is small; meanwhile, in the process of tumble detection, after the current moving state is determined according to the acceleration and the position information, the difference comparison is carried out on the current moving state according to the conventional state range generated by the conventional moving information statistical analysis on the target, the different moving habits of different targets are considered, and the accurate recognition analysis aiming at different users can be realized. Therefore, the method not only can reduce the dependence on detection equipment, but also can identify accurate identification aiming at different objects.
It should be noted that, based on the above embodiments, the embodiments of the present invention also provide corresponding improvements. In the preferred/improved embodiment, the same steps as those in the above embodiment or corresponding steps may be referred to each other, and corresponding advantageous effects may also be referred to each other, which are not described in detail in the preferred/improved embodiment herein.
The specific implementation manner of the moving state analysis in the above embodiment is not limited, and one analysis manner is described in this embodiment, and other analysis manners may refer to the description of this embodiment, and are not described herein again.
In the moving state analysis method provided in this embodiment, acquiring acceleration information and position information collected and generated during movement of a target specifically includes: acquiring multi-directional acceleration in the movement of a target as acceleration information, and acquiring corresponding position information; wherein the multi-directional acceleration takes into account gravity.
In the method, the acceleration in the coordinate system (namely the actual acceleration of the acquisition equipment) acquired by the acquisition equipment (such as a sensor) is acquired, instead of the acceleration parameter value read from the acquisition equipment, the former takes the gravity acceleration into consideration, the latter does not take the gravity acceleration into consideration, and the value returned by the acquisition equipment can only reflect the acceleration generated by the external force of the equipment. In the method, the gravity action needs to be considered for calculating the actual acceleration of the object, so that the acceleration in the coordinate system needs to be acquired.
And multi-direction indicates a plurality of collection directions, because the tumble incident has randomness, so the tumble direction can't be foreseeable, so should not adopt certain axial acceleration data to judge the emergence of tumble incident, adopts multi-direction acceleration to carry out comprehensive evaluation in this embodiment, can promote the discernment precision to the tumble incident of random direction. The specific direction is not limited in this embodiment, and acceleration values in three axes, that is, x, y, and z axes, may be obtained to reduce the difficulty of obtaining.
Accordingly, the process of analyzing the moving state of the moving information specifically includes the following steps:
(1) carrying out vector sum calculation on the multidirectional acceleration to obtain an acceleration vector sum;
(2) the sum of the acceleration vectors is taken as a state value.
The moving state analysis method ignores the space direction of the acceleration, carries out vector sum operation on the space acceleration, compares the vector sum with a threshold value to preliminarily judge whether the falling is carried out or not, and can promote the unified identification of the falling behavior in the random falling direction. One calculation of the vector sum is shown in the following formula,
wherein X, Y, and Z are directional accelerations of three axes X, Y, and Z, respectively (here, only the multi-direction is taken as the three-axis direction, and all other directions can refer to the description of this embodiment). When the three values of the sensor sharply increase and reach or exceed the maximum threshold value, namely the vector sum exceeds the conventional state range, the falling can be preliminarily judged.
Further, for promoting fall recognition accuracy, reduce the error that some violent activities brought, after the vector sum surpassed conventional state scope, before starting the early warning of falling, can continue to carry out following step:
(3) judging whether the acceleration vector sum is continuously lower than a minimum moving threshold value within a preset time interval after the state value exceeds the conventional state range;
(4) if yes, executing the step of starting the early warning of falling.
And if the acceleration vector sum is not continuously lower than the minimum movement threshold value within a preset time interval after the state value exceeds the conventional state range, namely the user is not static after the state is abnormal and actively climbs after the user is possibly fallen in the continuous movement without rescue or the user does not fall in the continuous violent movement. In this embodiment, the processing manner in this case is not limited, and the process may jump to step S101, or output corresponding prompt information, such as prompting the user to take care, or to take a meal amount for strenuous exercise. And will not be described in detail herein.
If the acceleration vector sum is almost unchanged and tends to zero in the preset time interval after the acceleration vector sum exceeds the conventional state range, some violent activities or some normal activities can be eliminated, and the probability of false alarm is reduced.
In addition, in order to eliminate false alarm caused by most unexpected activities, before starting the early warning of falling down, whether to send first-aid information or not can be output, for example, a confirmation box is arranged to confirm whether to send a first-aid short message or not, if the user points to the early warning of falling down, the old people can be basically determined to fall down, and at the moment, the early warning of falling down is started again, for example, a short message is sent to a guardian of the old people. It should be noted that, before the fall warning is started, the manner of outputting whether to send the first aid information is not limited to the manner of analyzing the moving state, and may be performed after the acceleration vector sum manner provided in this embodiment, or performed after other analysis manners, which is not described herein again.
The fall analysis and the detection mode that this embodiment provided can promote the analysis precision, get rid of the interference of accidental state, realize effectual fall discernment.
On the basis of the above embodiment, further, a function of recording the number of steps may be implemented to query and count the movement of the user, and specifically, the following steps may be executed:
(1) determining a conventional moving speed according to the conventional moving information;
(2) determining a moving track and a moving distance according to the position information in the target movement;
(3) determining the step number of the target according to the moving distance and the conventional moving speed;
(4) and recording the moving track, the moving distance and the number of steps as the walking information.
Due to the difference of the moving habits of different users, the determined moving speed in the method is obtained according to the statistics in the conventional movement of the user, and the accuracy of step number statistics is improved.
After the moving track, the moving distance and the step number are used as walking information for the time, the user can be inquired, and statistics of daily behavior of the user is achieved.
Besides the step number recording function, auxiliary functions such as track inquiry, medicine taking reminding and the like can be further set so as to improve the comprehensiveness of monitoring reminding and improve the user experience, and the description is omitted here.
On the basis of the above embodiment, in order to reduce monitoring energy consumption and avoid false alarm and missed report, before acquiring acceleration information and position information generated during target movement in step S101, a feedback mechanism for tumble monitoring is provided in this embodiment, and triggering of tumble is realized through real-time position monitoring. The specific implementation steps are as follows:
(1) acquiring position information of a target;
and acquiring the target position information (such as longitude and latitude) acquired in real time.
(2) Determining historical movement information matched with the current movement route according to the position information;
recording sensor information of the old during routine walking, and recording and storing position information of the old during routine walking to form a historical database. And based on the position information acquired in real time, traversing the position information in the conventional walking process in the database, comparing, identifying whether a route matched with the current moving route exists in the historical route, and if so, acquiring corresponding historical moving information, such as a moving track, the distance between two sampling points, the moving time and the like.
If the historical movement information is not matched in the historical database, the situation is not limited in this embodiment, and in order to avoid false alarm, step S101 may be triggered immediately, or the historical database may be updated automatically, and so on, which is not described herein again.
(3) Calculating a movement difference value between the current movement and the historical movement according to the historical movement information and the position information;
the movement difference value can be determined by comparing the difference between the movement distances of the current route and the historical route at the same movement time, or the difference between the movement distances of the current route and the historical route at the same movement time, and the calculation mode of the movement difference can be set according to the actual situation, and is not limited here.
(4) Judging whether the movement difference value exceeds a threshold value; if yes, triggering the following step (5);
the threshold value can be determined according to the conventional movement habit of the user, or according to the difference degree of the conventional movement of the public, and the value is not limited here.
And (4) judging whether the movement difference value exceeds a threshold value, if the movement difference value exceeds the threshold value, indicating that the current movement position and/or movement time are abnormal, starting the determination of the movement state at the moment, realizing the tumble monitoring, and executing the following step (5). If the movement difference value does not exceed the threshold value, the current movement position and the movement time are indicated to be not abnormal, the indication is similar to the conventional state when the conventional (non-falling) movement data is the same, that is, the non-falling possibility is high, at this time, the step (1) can be continued to be skipped, and the step of obtaining the target position information is executed, which is not limited herein.
(5) And judging that the object can fall down, and triggering the step S101 to execute the step of acquiring the acceleration information and the position information generated by the acquisition in the movement of the object.
For further understanding, the method provided by the present embodiment will be described by taking the following cases as examples.
In the conventional moving route of the user, a moving track from a cell a to an E park (such as point a → point B → point C → point D → E park) exists, and in real-time tumble monitoring on a certain day, it is detected that the user moves from the cell a to the point C through the point B, and then the user can be preliminarily predicted to move to the E park, and in the position monitoring of the user, it is found that the user does not reach the point C from the point B for twice the time length exceeding the conventional moving time length, or stays at the position between the point B and the point C for a long time, and it is determined that the user may have an accidental tumble, at this time, data acquisition of the detection device and tumble monitoring of the above embodiment are triggered, so that accurate user state identification is realized, and start feedback of tumble monitoring is realized.
The method is simple in monitoring implementation mode, can quickly find the abnormity of the user state, can reduce the energy consumption for starting the acquisition equipment for a long time, can avoid the missing report of the user falling when the acquisition equipment and the falling monitoring are not started, and ensures the monitoring accuracy.
In accordance with the above method embodiments, the present invention further provides a fall monitoring device, and the fall monitoring device described below and the fall monitoring method described above may be referred to in correspondence.
Referring to fig. 2, the apparatus includes the following modules:
the information obtaining unit 110 is mainly used for obtaining acceleration information and position information collected and generated in the movement of a target;
the information matching unit 120 is mainly configured to match position information corresponding to the acceleration information as movement information;
the state analysis unit 130 is mainly used for performing movement state analysis on the movement information to obtain a state value; if the state value exceeds the conventional state range, triggering a tumbling early warning unit; wherein, the conventional state range is generated according to the conventional movement information statistical analysis of the target;
the fall warning unit 140 is mainly used to start the fall warning.
In accordance with the above method embodiments, embodiments of the present invention further provide a fall monitoring device, and a fall monitoring device described below and a fall monitoring method described above may be referred to in correspondence with each other.
This fall monitoring facilities includes:
a memory for storing a computer program;
a processor for implementing the steps of the fall monitoring method of the above method embodiments when executing the computer program.
Specifically, referring to fig. 3, a specific structural diagram of a fall monitoring device provided in this embodiment is shown, where the fall monitoring device may generate a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 322 (e.g., one or more processors) and a memory 332, where the memory 332 stores one or more computer applications 342 or data 344. Memory 332 may be, among other things, transient or persistent storage. The program stored in memory 332 may include one or more modules (not shown), each of which may include a sequence of instructions operating on a data processing device. Still further, the central processor 322 may be configured to communicate with the memory 332 to execute a series of instruction operations in the memory 332 on the fall monitoring device 301.
The steps in the fall monitoring method described above may be implemented by the structure of the fall monitoring device.
Corresponding to the above method embodiment, an embodiment of the present invention further provides a system, including: mobile terminal and tumble monitoring equipment.
The specific monitoring and identifying process of the fall monitoring device can refer to the description of the above embodiments, and is not described herein again.
The mobile terminal is provided with an acceleration sensor and used for acquiring the acceleration of a user as acceleration information and acquiring the position information of the user;
accordingly, the fall monitoring device is mainly used for acquiring acceleration information and position information to monitor the fall.
The mobile terminal can specifically be a mobile phone, an intelligent bracelet and the like, wherein the mobile phone is worn on the chest and mouth side of the user with higher identification precision. The mobile phone is taken as an example to introduce system interaction, the mobile phone acquires sample data of a user in real time and uploads the sample data to the fall monitoring equipment to analyze and compare the moving state, and the fall monitoring equipment can control the mobile phone to send a distress short message to an emergency contact after judging that the user falls down.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
Claims (10)
1. A fall monitoring method, comprising:
acquiring acceleration information and position information acquired and generated in the movement of a target;
matching the acceleration information corresponding to each position information as movement information;
analyzing the moving state of the moving information to obtain a state value;
if the state value exceeds the conventional state range, starting tumble early warning; wherein the regular state range is generated according to regular movement information statistical analysis of the target.
2. The fall monitoring method according to claim 1, wherein the acquiring of the acceleration information and the position information generated by the target moving comprises: acquiring multi-directional acceleration in the movement of a target as the acceleration information and acquiring corresponding position information; wherein the multi-directional acceleration accounts for gravity;
accordingly, the analyzing the moving state of the moving information includes:
carrying out vector sum calculation on the multi-direction acceleration to obtain an acceleration vector sum;
and taking the acceleration vector sum as the state value.
3. The fall monitoring method according to claim 2, characterized in that it further comprises, before said initiating the fall warning:
judging whether the acceleration vector sum is continuously lower than a lowest movement threshold value within a preset time interval after the state value exceeds the conventional state range;
and if so, executing the step of starting the early warning of falling.
4. The fall monitoring method according to claim 1, characterized in that it further comprises, before said initiating the fall warning:
outputting whether to send first-aid information;
and if a confirmation reply is received, executing the step of starting the tumble warning.
5. The fall monitoring method according to claim 1, characterized in that said initiating fall warning comprises:
determining the time and position information of the movement state exceeding the abnormal early warning range, and respectively taking the time and position information as the falling time and the falling position;
adding the falling time and the falling position into an emergency information template to generate emergency information;
and sending the first-aid information to a guardian terminal.
6. The fall monitoring method of claim 1, further comprising:
determining a conventional moving speed according to the conventional moving information;
determining a moving track and a moving distance according to the position information in the target movement;
determining the step number of the target according to the moving distance and the conventional moving speed;
and recording the moving track, the moving distance and the step number as the walking information.
7. The fall monitoring method according to any one of claims 1 to 6, further comprising, before the acquiring the generated acceleration information and the position information while the target is moving, the steps of:
acquiring position information of the target;
determining historical movement information matched with the current movement route according to the position information;
calculating a movement difference value between the current movement and the historical movement according to the historical movement information and the position information;
judging whether the movement difference value exceeds a threshold value;
and if so, judging that the target is likely to fall down, and executing the step of acquiring the acceleration information and the position information generated by the acquisition in the movement of the target.
8. A fall monitoring device, comprising:
the information acquisition unit is used for acquiring acceleration information and position information acquired and generated in the movement of a target;
an information matching unit for matching the position information corresponding to the acceleration information as movement information;
the state analysis unit is used for carrying out movement state analysis on the movement information to obtain a state value; if the state value exceeds the conventional state range, triggering a tumbling early warning unit; wherein the normal state range is generated according to normal movement information statistical analysis of the target;
and the fall early warning unit is used for starting the fall early warning.
9. A fall monitoring device, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the fall monitoring method according to any one of claims 1 to 7 when executing the computer program.
10. A fall monitoring system, comprising: a mobile terminal and a fall monitoring device as claimed in claim 9;
the mobile terminal is used for acquiring the acceleration of a user as acceleration information and acquiring the position information of the user through the acceleration sensor;
and the fall monitoring equipment is used for acquiring the acceleration information and the position information to monitor the fall.
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| CN202111044028.1A CN114220243A (en) | 2021-09-07 | 2021-09-07 | Tumble monitoring method, device, equipment and system |
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