CN111557649A

CN111557649A - Body temperature monitoring data processing method and device

Info

Publication number: CN111557649A
Application number: CN202010443399.6A
Authority: CN
Inventors: 王秀文
Original assignee: Unisound Intelligent Technology Co Ltd; Xiamen Yunzhixin Intelligent Technology Co Ltd
Current assignee: Unisound Intelligent Technology Co Ltd; Xiamen Yunzhixin Intelligent Technology Co Ltd
Priority date: 2020-05-22
Filing date: 2020-05-22
Publication date: 2020-08-21

Abstract

The invention provides a method and a device for processing body temperature monitoring data, which relate to the technical field of computers and comprise the steps that a non-contact thermometer arranged on an intelligent robot acquires a plurality of body temperature samples of a target object in a specified period; preprocessing a plurality of body temperature samples to obtain a plurality of effective body temperature values; judging whether the body temperature of the target object is abnormal or not based on the average value of the effective body temperature values; and if the body temperature of the target object is abnormal, executing body temperature abnormality reminding operation. Therefore, the convenience of body temperature measurement is improved, abnormal body temperatures such as high fever can be found in time, and timeliness is high.

Description

Body temperature monitoring data processing method and device

Technical Field

The invention relates to the technical field of computers, in particular to a method and a device for processing body temperature monitoring data.

Background

The temperature of a human body is relatively constant, but when the body temperature rises and exceeds a threshold value which can be borne by the human body, symptoms such as headache, weakness of the whole body, lethargy, no diet, chilliness, shiver and the like can be generated, and when a child is in a growth and development stage, fever has great threat to the health and brain health of the child, and even the intelligence of the child is affected because the fever of the child cannot be treated in time.

With the improvement of living standard, people pay more and more attention to health problems, and pay more attention to the health problems of children. Fever is a major problem for parents, for example, some kindergartens and primary schools measure the body temperature of children when they enter the school. However, the existing temperature measurement mode generally needs field detection by detection personnel, and the operation is complex.

Disclosure of Invention

The invention aims to provide a body temperature monitoring data processing method and device to solve the technical problem that the operation of a test mode is complex in the prior art.

In a first aspect, an embodiment of the present invention provides a method for processing body temperature monitoring data, which is applied to an intelligent robot, where a thermometer is installed on the intelligent robot, and the method includes:

responding to a body temperature test instruction, and acquiring a plurality of body temperature samples of a target object in a specified period through a thermometer;

preprocessing a plurality of body temperature samples to obtain a plurality of effective body temperature values;

judging whether the body temperature of the target object is abnormal or not based on the average value of the effective body temperature values;

and if the body temperature of the target object is abnormal, executing body temperature abnormality reminding operation.

In an alternative embodiment, the thermometer comprises a contact thermometer and/or a non-contact thermometer, wherein the non-contact thermometer is installed at the front of the head of the intelligent robot, and the contact thermometer is installed at the back of the head of the intelligent robot.

In an alternative embodiment, the step of preprocessing the plurality of body temperature samples to obtain a plurality of effective body temperature values comprises:

and screening a plurality of body temperature samples according to a preset effective data range, and determining a plurality of effective body temperature values in the preset effective data range.

In an alternative embodiment, the step of determining whether the body temperature of the target subject is abnormal based on the mean value of the plurality of effective body temperature values includes:

judging whether the average value of the effective body temperature values is within a preset normal body temperature range or not;

and if the average value of the plurality of effective body temperature values is not within the preset normal body temperature range, determining that the body temperature of the target object is abnormal.

In an alternative embodiment, prior to the step of obtaining, by the thermometer, a plurality of body temperature samples of the target subject over a specified period in response to the body temperature test instructions, the method further comprises:

and receiving a body temperature test instruction from the guardian terminal.

In an optional embodiment, the body temperature abnormality reminding operation includes sending a body temperature abnormality indication to the guardian terminal, where the body temperature abnormality indication includes a mean value of a plurality of effective body temperature values.

In an alternative embodiment, the step of obtaining a plurality of body temperature samples of the target subject over a specified period by the thermometer in response to the body temperature test instructions comprises:

responding to a body temperature test instruction, and acquiring an image of a target object;

identifying the image of the target object and determining the forehead area of the target object;

converting an image position of a forehead region of the target object in an image of the target object to a first three-dimensional position in a camera coordinate system;

converting the first three-dimensional position to a second three-dimensional position in the non-contact thermometer coordinate system based on a relationship between the camera coordinate system and the non-contact thermometer coordinate system;

and controlling the non-contact thermometer to point to the second three-dimensional position, and acquiring multiple times of body temperature samples of the forehead of the target object corresponding to the second three-dimensional position in a specified period.

In a second aspect, an embodiment of the present invention provides a body temperature monitoring data processing apparatus, which is applied to an intelligent robot, where a non-contact thermometer is installed on the intelligent robot, and the apparatus includes:

the acquisition module is used for responding to a body temperature test instruction and acquiring a plurality of body temperature samples of the target object in a specified period through the thermometer;

the processing module is used for preprocessing a plurality of body temperature samples to obtain a plurality of effective body temperature values;

the judging module is used for judging whether the body temperature of the target object is abnormal or not based on the average value of the effective body temperature values;

and the execution module is used for executing the abnormal body temperature reminding operation if the body temperature of the target object is abnormal.

In a third aspect, an embodiment of the present invention provides an intelligent robot, including a thermometer, a memory, and a processor, where the memory stores a computer program operable on the processor, and the processor implements the steps of the method in any one of the foregoing embodiments when executing the computer program.

In a fourth aspect, embodiments of the invention provide a computer readable storage medium having stored thereon machine executable instructions which, when invoked and executed by a processor, cause the processor to perform the method of any of the preceding embodiments.

According to the body temperature monitoring data processing method and device, a plurality of body temperature samples of a target object in a specified period are obtained through a non-contact thermometer arranged on an intelligent robot; preprocessing a plurality of body temperature samples to obtain a plurality of effective body temperature values; judging whether the body temperature of the target object is abnormal or not based on the average value of the effective body temperature values; and if the body temperature of the target object is abnormal, executing body temperature abnormality reminding operation. Through installing the non-contact clinical thermometer on intelligent robot, realize detecting the body temperature of the target object who is guarded, and remind when the body temperature of target object is unusual, the convenience of body temperature measurement has been promoted, and can be at the light real-time measurement infant's body temperature of the in-process that the infant played with intelligent robot, the condition that the infant does not cooperate has been avoidd to whole process, abnormal body temperatures such as high fever can in time be discover simultaneously, automatic sending warning message gives the guardian, the ageing is higher.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.

Fig. 1 is a schematic flow chart of a method for processing body temperature monitoring data according to an embodiment of the present disclosure;

fig. 2 is an example of a body temperature monitoring data processing method provided in an embodiment of the present application;

fig. 3 is a schematic structural diagram of a body temperature monitoring data processing apparatus according to an embodiment of the present disclosure;

fig. 4 is a schematic structural diagram of a computer device according to an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.

Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments 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.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.

In the description of the present invention, it should be noted that the terms "first", "second", "third", and the like are used only for distinguishing the description, and are not intended to indicate or imply relative importance. The terms "disposed," "mounted," "connected," and "connected" are to be construed broadly and may, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.

Some embodiments of the invention are described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.

Fig. 1 is a schematic flow chart of a method for processing body temperature monitoring data according to an embodiment of the present invention. As shown in fig. 1, the method may be applied to a smart robot, which may be a learning machine or the like, for example, and on which a thermometer is mounted, which may include one or more thermometers. For example, the thermometer includes a contact thermometer (e.g., an electronic thermometer, a mercury thermometer, etc.), a non-contact thermometer (e.g., an infrared thermometer, etc.), or both a contact thermometer and a non-contact thermometer, which may be installed in front of the head of the smart robot; the touch thermometer may be mounted at the back of the head of the intelligent robot. The method specifically comprises the following steps:

s110, responding to a body temperature test instruction, and acquiring a plurality of body temperature samples of a target object in a specified period through a thermometer;

for example, the guardian terminal may send the body temperature test instruction to the intelligent robot, and the intelligent robot may receive the body temperature test instruction from the guardian terminal so as to respond. For another example, the smart robot may monitor the posture of the target object, and trigger the body temperature test instruction when detecting that the target object faces the smart robot.

In addition, the intelligent robot can detect the body temperature of the target object in real time after receiving the body temperature test instruction, and can wake up periodically according to a specified time interval to detect the body temperature.

In order to improve the authenticity and accuracy of the measured body temperature, when the body temperature is sampled, the body temperature may be sampled for a plurality of times in a cycle, for example, the cycle may be 10 minutes, the sampling frequency may be 500 times per minute or 500 times per second, and so on.

And S120, preprocessing the multiple body temperature samples to obtain multiple effective body temperature values.

After step S110, some inaccurate invalid data generally exists in the sampled data, and at this time, the body temperature samples may be screened according to the preset valid data range, so as to determine a plurality of valid body temperature values within the preset valid data range. For example, the valid data range may be predefined as: and at the temperature of 30-45 ℃, data which are not at the temperature of 30-45 ℃ in a plurality of body temperature samples can be deleted, and the rest is the effective body temperature value.

And S130, judging whether the body temperature of the target object is abnormal or not based on the average value of the effective body temperature values.

A mean value of the plurality of effective body temperature values may be calculated and used as the body temperature of the target subject during the current cycle.

In the embodiment of the present invention, a normal body temperature range may be predefined, for example, the normal body temperature range may be 36.5 ℃ to 37.5 ℃, if the body temperature in the period is within the normal body temperature range, the body temperature of the target subject in the period is determined to be normal, and if the body temperature in the period is not within the normal body temperature range, the body temperature of the target subject in the period is determined to be abnormal. Based on this, this step can be achieved by:

step A: judging whether the average value of the effective body temperature values is within a preset normal body temperature range or not;

and B: and if the average value of the plurality of effective body temperature values is not within the preset normal body temperature range, determining that the body temperature of the target object is abnormal.

And S140, if the body temperature of the target object is abnormal, executing body temperature abnormality reminding operation.

The abnormal reminding operation can be default or pre-configured. For example, the body temperature abnormality reminding operation may include sending a body temperature abnormality indication to the guardian terminal, where the body temperature abnormality indication includes a mean value of a plurality of effective body temperature values.

According to the embodiment of the invention, the body temperature of the monitored target object is detected through the non-contact thermometer arranged on the intelligent robot, and the body temperature of the target object is reminded when the body temperature is abnormal, so that the convenience of body temperature measurement is improved, the body temperature of the infant can be easily measured in real time in the process of playing with the intelligent robot, the condition that the infant is not matched is avoided in the whole process, meanwhile, the abnormal body temperatures such as high fever can be found in time, an alarm message is automatically sent to the monitor, and the timeliness is higher.

In some embodiments, different sampling patterns may be respectively associated with the contact thermometer and the non-contact thermometer. Further description is provided below with reference to specific examples.

As an example, as shown in fig. 2, when the thermometer includes a non-contact thermometer, the step S110 may be implemented by:

and S210, responding to the body temperature test instruction, and acquiring an image of the target object.

Wherein, the image of the target object can be acquired by a camera installed on the intelligent robot. For example, the smart robot may be mounted with a 360 ° camera, through which an image of the target object may be acquired. Of course, the embodiment of the present invention is not limited to the type of the camera, and the image of the target object may also be acquired by other types of cameras, such as a monocular camera, and the like.

And S220, identifying the image of the target object and determining the forehead area of the target object.

In the process of recognizing the image of the target object, the face recognition may be performed first, and then the region corresponding to the forehead of the face of the target object is determined. The forehead area may be positioned in relation to the eyebrow area.

In addition, identity information may also be determined based on the face, for example, when the target object includes a plurality of target objects, the identity of each target object may be determined based on the face information of the plurality of target objects, so that when an abnormality prompt is performed, the identity of the target object with the abnormality may be carried. For example, the intelligent robot may perform body temperature detection on a plurality of children, may store face information and identity information of the plurality of children in the intelligent robot in advance in a corresponding manner, and the specific storage manner may be cloud storage or local storage, and the like. When the face is identified, matching can be performed in the stored face information based on the identified target face, and target identity information corresponding to the successfully matched face information is determined, wherein the target identity information is an identity corresponding to the target face. In addition, the identity information may include the name of the target object, guardian information, contact information of the guardian, and the like.

And S230, converting the image position of the forehead area of the target object in the image of the target object into a first three-dimensional position in a camera coordinate system.

After determining the forehead area of the target object, the image position of the forehead of the target object in the image is determined, the image position is a two-dimensional position, the image position can be converted into a three-dimensional space, for example, the image position can be converted into a camera coordinate system, and the conversion process can be realized by monocular positioning or multi-view positioning and other technologies.

And S240, converting the first three-dimensional position into a second three-dimensional position in the non-contact thermometer coordinate system based on the relation between the camera coordinate system and the non-contact thermometer coordinate system.

The camera coordinate system and the thermometer coordinate system are three-dimensional coordinate systems, rotation and offset parameters exist between the two coordinate systems, the parameters can be internal parameters of the intelligent robot, the offset parameters are usually fixed, the offset parameters are usually related to the postures of the camera and the thermometer, and the postures can be acquired through corresponding sensors.

Through step S240, the positions of the thermometer and the target object can be converted into the same three-dimensional coordinate system, so that the relative positions of the thermometer and the target object can be accurately determined.

And S250, controlling the non-contact thermometer to point to the second three-dimensional position, and acquiring multiple times of body temperature sampling of the forehead of the target object corresponding to the second three-dimensional position in a specified period.

By pointing the non-contact thermometer at the second three-dimensional position, a temperature sample of the forehead of the target subject can be accurately obtained.

As another example, when the thermometer includes a contact thermometer, the step S110 may sense whether the thermometer contacts the skin of the target object when the body temperature sampling is performed, and start the body temperature sampling when the skin of the target object is sensed to contact the thermometer.

Fig. 3 is a schematic structural diagram of a body temperature monitoring data processing device according to an embodiment of the present invention. As shown in fig. 3, the apparatus is applied to an intelligent robot, on which a thermometer is installed, and includes:

an obtaining module 301, configured to, in response to a body temperature test instruction, obtain, by a thermometer, a plurality of body temperature samples of a target subject in a specified period;

the processing module 302 is configured to pre-process a plurality of body temperature samples to obtain a plurality of effective body temperature values;

a judging module 303, configured to judge whether the body temperature of the target object is abnormal based on a mean value of the plurality of effective body temperature values;

and the execution module 304 is configured to execute a body temperature abnormality reminding operation if the body temperature of the target object is abnormal.

In some embodiments, the thermometer comprises a contact thermometer and/or a non-contact thermometer; the non-contact thermometer is arranged at the front of the head of the intelligent robot, and the contact thermometer is arranged at the rear of the head of the intelligent robot.

In some embodiments, the processing module 302 is specifically configured to filter the plurality of body temperature samples according to a preset valid data range, and determine a plurality of valid body temperature values within the preset valid data range.

In some embodiments, the determining module 303 is specifically configured to:

In some embodiments, the monitoring system further comprises a receiving module for receiving a body temperature test instruction from the guardian terminal.

In some embodiments, the monitoring system further comprises a sending module, configured to send an abnormal body temperature indication to the guardian terminal, where the abnormal body temperature indication includes a mean value of a plurality of effective body temperature values.

In some embodiments, the obtaining module 301 is specifically configured to:

The body temperature monitoring data processing device provided by the embodiment of the application has the same technical characteristics as the body temperature monitoring data processing method provided by the embodiment, so that the same technical problems can be solved, and the same technical effects can be achieved.

As shown in fig. 4, an intelligent robot 700 provided in an embodiment of the present application includes: the intelligent robot 700 comprises a processor 701, a memory 702, a thermometer 703 and a bus, wherein the memory 702 stores machine readable instructions executable by the processor 701, when the intelligent robot 700 runs, the processor 701 and the memory 702 are communicated through the bus, and the processor 701 executes the machine readable instructions to execute the steps of the method for processing the body temperature monitoring data. The thermometer 703 may include one or more. For example, the thermometer includes a contact thermometer (e.g., an electronic thermometer, a mercury thermometer, etc.), a non-contact thermometer (e.g., an infrared thermometer, etc.), or both a contact thermometer and a non-contact thermometer, which may be installed in front of the head of the smart robot; the touch thermometer may be mounted at the back of the head of the intelligent robot.

Specifically, the memory 702 and the processor 701 can be general-purpose memory and processor, which are not limited to specific embodiments, and the processor 701 can execute the body temperature monitoring data processing method when executing the computer program stored in the memory 702.

Corresponding to the body temperature monitoring data processing method, an embodiment of the present application further provides a computer readable storage medium, where a machine executable instruction is stored in the computer readable storage medium, and when the machine executable instruction is called and executed by the processor, the computer executable instruction causes the processor to execute the steps of the body temperature monitoring data processing method.

The body temperature monitoring data processing device provided by the embodiment of the application can be specific hardware on equipment or software or firmware installed on the equipment. The device provided by the embodiment of the present application has the same implementation principle and technical effect as the foregoing method embodiments, and for the sake of brief description, reference may be made to the corresponding contents in the foregoing method embodiments where no part of the device embodiments is mentioned. It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the foregoing systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit is merely a division of one logic function, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.

Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

In addition, functional units in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the mobile control method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus once an item is defined in one figure, it need not be further defined and explained in subsequent figures, and moreover, the terms "first", "second", "third", etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.

Finally, it should be noted that: the above examples are only specific embodiments of the present application, and are not intended to limit the technical solutions of the present application, and the scope of the present application is not limited thereto, although the present application is described in detail with reference to the foregoing examples, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the scope of the embodiments of the present application. Are intended to be covered by the scope of the present application.

Claims

1. A body temperature monitoring data processing method is applied to an intelligent robot, a thermometer is installed on the intelligent robot, and the method comprises the following steps:

acquiring a plurality of body temperature samples of a target object in a specified period through the thermometer in response to a body temperature test instruction;

preprocessing the body temperature samples to obtain a plurality of effective body temperature values;

determining whether the body temperature of the target subject is abnormal based on the mean value of the plurality of effective body temperature values;

and if the body temperature of the target object is abnormal, executing body temperature abnormal reminding operation.

2. The method of claim 1, wherein the thermometer comprises a contact thermometer and/or a non-contact thermometer; the non-contact thermometer is arranged at the front of the head of the intelligent robot, and the contact thermometer is arranged at the rear of the head of the intelligent robot.

3. The method of claim 1, wherein the step of preprocessing the plurality of body temperature samples to obtain a plurality of effective body temperature values comprises:

and screening the body temperature samples according to a preset effective data range, and determining a plurality of effective body temperature values in the preset effective data range.

4. The method of claim 3, wherein the step of determining whether the body temperature of the target subject is abnormal based on the mean of the plurality of effective body temperature values comprises:

and if the average value of the effective body temperature values is not in the preset normal body temperature range, determining that the body temperature of the target object is abnormal.

5. The method of claim 1, wherein prior to the step of obtaining, by the thermometer, a plurality of body temperature samples of the target subject over a specified period in response to the body temperature test instructions, the method further comprises:

and receiving a body temperature test instruction from the guardian terminal.

6. The method of claim 5, wherein the body temperature abnormality alerting operation comprises sending a body temperature abnormality indication to the parent terminal, the body temperature abnormality indication comprising a mean of the plurality of valid body temperature values.

7. The method of claim 1, wherein the thermometer comprises a non-contact thermometer; the step of obtaining a plurality of body temperature samples of a target subject over a specified period by the thermometer in response to a body temperature test instruction includes:

responding to a body temperature test instruction, and acquiring an image of the target object;

identifying the image of the target object, and determining a forehead area of the target object;

converting the first three-dimensional position to a second three-dimensional position in a non-contact thermometer coordinate system based on a relationship between a camera coordinate system and the non-contact thermometer coordinate system;

and controlling the non-contact thermometer to point to the second three-dimensional position, and acquiring multiple times of body temperature samples of the forehead of the target object corresponding to the second three-dimensional position in the specified period.

8. The utility model provides a body temperature monitoring data processing apparatus which characterized in that is applied to intelligent robot, the last non-contact clinical thermometer that installs of intelligent robot, the device includes:

the acquisition module is used for responding to a body temperature test instruction and acquiring a plurality of body temperature samples of a target object in a specified period through the thermometer;

the processing module is used for preprocessing the body temperature samples to obtain a plurality of effective body temperature values;

9. An intelligent robot comprising a thermometer, a memory, a processor, a computer program being stored in the memory and being executable on the processor, wherein the processor, when executing the computer program, performs the steps of the method according to any of the preceding claims 1 to 7.

10. A computer readable storage medium having stored thereon machine executable instructions which, when invoked and executed by a processor, cause the processor to execute the method of any of claims 1 to 7.