Disclosure of Invention
The invention aims to provide a motion monitoring method based on a graphene flexible pressure sensor, which is used for solving the problem of single conventional motion monitoring mode.
In order to achieve the above object, the present invention provides the following technical solutions:
the first aspect of the application provides a motion monitoring method based on a graphene flexible pressure sensor, comprising the following steps:
the pressure detector is arranged at the bottom of foot equipment of a user, and first pressure data of the user are obtained;
obtaining second pressure data, third pressure data, first duration and second duration according to the first pressure data; the first duration characterizes a duration of a single contact of the left foot of the user with the ground; the second duration characterizes a duration of a single contact of the right foot of the user with the ground; the second pressure data characterizes pressure data acquired for the left foot over the first duration; the third pressure data characterizes the pressure data acquired for the right foot over the second duration;
obtaining the exercise condition of the user according to the first duration time, the second pressure data, the third pressure data and the weight data of the user;
the pressure detector is composed of a graphene flexible pressure sensor.
In one embodiment, the obtaining the exercise condition of the user according to the first duration, the second pressure data, the third pressure data, and the weight data of the user includes:
obtaining movement posture data of the user according to the first duration time, the second pressure data, the third pressure data and the weight data of the user;
and obtaining the motion condition of the user according to the motion gesture data of the user.
In one embodiment, the motion gesture data of the user includes a track symmetry coefficient, a force symmetry coefficient, a left force correct coefficient and a right force correct coefficient;
the step of obtaining the movement posture data of the user according to the first duration, the second pressure data, the third pressure data and the weight data of the user comprises the following steps of
Obtaining the track symmetry coefficient according to the first duration and the second duration;
obtaining a force symmetric coefficient according to the second pressure data and the third pressure data;
obtaining a correct left-force-giving coefficient according to the second pressure data and the weight data;
and obtaining right force correct coefficients according to the third pressure data and the weight data.
In one embodiment, the obtaining the motion status of the user according to the motion gesture data of the user includes:
comparing the track symmetry coefficient with a first symmetry threshold value to obtain a first track coefficient;
comparing the force symmetry coefficient with a second symmetry threshold value to obtain a second track coefficient;
obtaining a track standard degree according to the first track coefficient and the second track coefficient;
obtaining a force standard according to the left force correct coefficient, the right force correct coefficient and the force symmetric coefficient;
and obtaining the motion condition of the user according to the track standard degree and the force generation standard degree.
In one embodiment, the method further comprises: and matching a motion scheme according to the motion condition of the user.
In one embodiment, the motion scheme includes adjusting at least one of a left trajectory, a right trajectory, a left force, a right force.
In one embodiment, the matching the motion scheme by the motion condition of the user includes:
when the track standard degree is smaller than the minimum value of the first preset range, the motion scheme comprises the step of adjusting a left track;
when the track standard degree is larger than the maximum value of the first preset range, the motion scheme comprises the step of adjusting a right track;
when the force standard degree is smaller than the minimum value of the second preset range, the movement scheme comprises the step of adjusting left force;
when the force standard is less than the maximum value of the second preset range, the exercise scheme includes adjusting right force.
The second aspect of the present application provides a motion monitoring device based on a graphene flexible pressure sensor, comprising:
the pressure detector is arranged at the bottom of the foot equipment of the user and used for acquiring first pressure data of the user; the pressure detector is composed of a graphene flexible pressure sensor;
a data processor for obtaining second pressure data, third pressure data, first duration and second duration according to the first pressure data; the first duration characterizes a duration of a single contact of the left foot of the user with the ground; the second duration characterizes a duration of a single contact of the right foot of the user with the ground; the second pressure data characterizes pressure data acquired for the left foot over the first duration; the third pressure data characterizes the pressure data acquired for the right foot over the second duration; and obtaining the exercise condition of the user according to the first duration, the second pressure data, the third pressure data and the weight data of the user.
A third aspect of the present application provides a computer readable storage medium storing a computer program which, when executed by a processor, implements a method according to any one of the first aspects.
A fourth aspect of the present application provides a wearable smart device comprising a storage medium having a computer program present, characterized in that the computer program, when executed by a processor, implements the method of any of the first aspects.
Compared with the prior art, the scheme of the invention has the following advantages:
according to the invention, by acquiring the first duration representing the duration of single contact of the left foot with the ground, the second duration representing the duration of single contact of the right foot with the ground, the second pressure data representing the pressure data of the left foot acquired in the first duration, the third pressure data representing the pressure data of the right foot acquired in the second duration, and the weight data of the user, the difference value of the time of contact of the left foot and the right foot with the ground during movement of the user can be obtained, the stress conditions of the left foot and the right foot can be obtained, and the stress conditions of the left foot and the right foot of the user can be known by combining the weight data of the user, so that the stress conditions of the left foot and the right foot of the user during movement can be obtained, and the movement conditions of the user can be obtained.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention.
It will be understood by those skilled in the art that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element/component is referred to as being "connected" to another element/component, it can be directly connected to the other element/component or intervening elements/components may also be present. The term "and/or" as used herein includes all or any element and all combination of one or more of the associated listed items.
As shown in fig. 1, the first aspect of the present invention provides a motion monitoring method based on a graphene flexible pressure sensor, which includes steps S100-S300.
And S100, setting a pressure detector at the bottom of the foot equipment of the user, and acquiring first pressure data of the user.
The pressure detector is composed of graphene flexible pressure sensors. The graphene flexible pressure sensor is of a graphene porous network structure with a three-dimensional communication structure and consists of graphene, polydimethylsiloxane (PDMS) and pores; the graphene provides conductivity, and the PDMS provides an elastic polymerization function for changing the contact state of the graphene network structure. The pressure detector may include graphene flexible pressure sensors distributed on an insole of the foot device (shoe), corresponding to a middle portion of a heel of a human body, which are the most important points of force for walking, for detecting pressure information of a sole of a foot during walking, thereby acquiring first pressure data. It is understood that the pressure detector further includes a time module for recording the acquisition time corresponding to the pressure value.
S200, obtaining second pressure data, third pressure data, first duration and second duration according to the first pressure data; the first duration characterizes a duration of a single contact of the left foot of the user with the ground; the second duration characterizes a duration of a single contact of the right foot of the user with the ground; the second pressure data characterizes pressure data acquired for the left foot over the first duration; the third pressure data characterizes the acquisition of pressure data for the right foot over the second duration.
And S300, obtaining the exercise condition of the user according to the first duration time, the second pressure data, the third pressure data and the weight data of the user.
In this embodiment, by acquiring a first duration representing a duration of single contact between the left foot and the ground, a second duration representing a duration of single contact between the right foot and the ground, a second pressure data representing pressure data of the left foot acquired in the first duration, a third pressure data representing pressure data of the right foot acquired in the second duration, and weight data of the user, a difference value between time of contact between the left foot and the right foot of the user and the ground during exercise can be obtained, and a force applying condition of the left foot and the right foot can be obtained, and by combining weight data of the user, whether the force applying condition of the left foot and the right foot of the user is in a normal range can be known.
In one embodiment, the obtaining the exercise condition of the user according to the first duration, the second pressure data, the third pressure data, and the weight data of the user includes:
obtaining movement posture data of the user according to the first duration time, the second pressure data, the third pressure data and the weight data of the user;
and obtaining the motion condition of the user according to the motion gesture data of the user.
In this embodiment, the exercise posture data of the user is obtained by comparing the first duration, the second pressure data, the third pressure data and the weight data of the user, and then the exercise posture data is compared with the corresponding data of the preset exercise condition, so as to obtain the exercise condition of the user.
In one embodiment, the motion gesture data of the user includes a track symmetry coefficient, a force symmetry coefficient, a left force correct coefficient and a right force correct coefficient;
the step of obtaining the movement posture data of the user according to the first duration, the second pressure data, the third pressure data and the weight data of the user comprises the following steps of
Obtaining the track symmetry coefficient according to the first duration and the second duration;
obtaining a force symmetric coefficient according to the second pressure data and the third pressure data;
obtaining a correct left-force-giving coefficient according to the second pressure data and the weight data;
and obtaining right force correct coefficients according to the third pressure data and the weight data.
In this embodiment, the distribution ratio of the left foot and the right foot of the user in the foot lifting and placing time can be obtained through the first duration and the second duration, so that the approximate motion track of the left foot and the right foot of the user can be known, and further the track symmetry coefficient is obtained; the trajectory symmetry coefficient refers to a ratio between the time ratios of lifting and putting the left foot and the right foot of the user, and is compared by default based on the left foot, for example, the lifting time of the left foot is 0.6 seconds, the contact ground time of the left foot is 0.2 seconds, the lifting time of the right foot is 0.6 seconds, and the contact ground time of the right foot is 0.3 seconds, and then the trajectory symmetry coefficient= (0.6/0.2)/(0.6/0.3) =1.5. In addition, the force symmetric coefficients of the left foot and the right foot of the user can be obtained through the second pressure data and the third pressure data, and the force symmetric coefficients are compared by taking the left foot as a base number by default. In addition, taking the second pressure data as an example, a plurality of pressure data of the left foot are collected in one foot lifting and placing period, at this time, the pressure data can be averaged to obtain the second pressure data, and further, the maximum value and the minimum value can be removed and then averaged. Meanwhile, when the weight data of the user is determined, the foot force of the user is normal in one section, so that the left force correct coefficient can be obtained by comparing the second pressure data with the optimal force value corresponding to the weight data, and the foot force of the user is normal as long as the left force correct coefficient is in the normal force range. Similarly, the right force correct coefficient can be obtained through the third pressure data and the weight data, so that whether the right foot force of the user is normal or not is judged.
In one embodiment, the obtaining the motion status of the user according to the motion gesture data of the user includes:
comparing the track symmetry coefficient with a first symmetry threshold value to obtain a first track coefficient;
comparing the force symmetry coefficient with a second symmetry threshold value to obtain a second track coefficient;
obtaining a track standard degree according to the first track coefficient and the second track coefficient;
obtaining a force standard according to the left force correct coefficient, the right force correct coefficient and the force symmetric coefficient;
and obtaining the motion condition of the user according to the track standard degree and the force generation standard degree.
In this embodiment, the first symmetry threshold is a symmetry ratio of a standard left and right foot motion trail, and is ideally 1, but for a real human, this value cannot be reached, so that a gap exists between the left and right foot motion trail is allowed, this first symmetry threshold is generally set to 0.88-0.92, and a ratio of the trail symmetry coefficient to a preset first symmetry threshold is taken as the first trail coefficient. The second symmetry threshold is a symmetry proportion of standard left and right foot force, and the left and right foot force of a natural person is certainly different, and the second symmetry threshold is generally set to be 0.85-0.90, and the ratio of the force symmetry coefficient to a preset second symmetry threshold is taken as a second track coefficient.
The first track coefficient and the second track data are summed according to preset weights, so that track standard degree can be obtained, the track standard degree comprehensively reflects the track and force deviation of the left foot and the right foot of the user during movement, and the symmetry degree of the user is more suitable through the track standard degree because the force and the track of the foot are overlapped during movement for the same person, namely the force can influence the track, the track can also influence the force. In addition, the right force correct coefficient, the left force correct coefficient and the force symmetric coefficient are used for obtaining force standard, and the force standard can comprehensively reflect the force condition of the user. The motion condition of the user can be obtained by combining the track standard degree and the force standard degree.
In one embodiment, the method further comprises: and matching a motion scheme according to the motion condition of the user.
In one embodiment, the motion scheme includes adjusting at least one of a left trajectory, a right trajectory, a left force, a right force.
In one embodiment, the matching the motion scheme by the motion condition of the user includes:
when the track standard degree is smaller than the minimum value of the first preset range, the motion scheme comprises the step of adjusting a left track;
when the track standard degree is larger than the maximum value of the first preset range, the motion scheme comprises the step of adjusting a right track;
when the force standard degree is smaller than the minimum value of the second preset range, the movement scheme comprises the step of adjusting left force;
when the force standard is less than the maximum value of the second preset range, the exercise scheme includes adjusting right force.
In this embodiment, when the track standard degree is obtained, the track of the left foot and the track of the right foot are respectively compared with the standard track to obtain new coefficients, the coefficients are introduced into the track standard degree, meanwhile, the first preset range is the range in which the track standard degree is normal, and the first preset range is set so that when the track standard degree is smaller than the minimum value of the first preset range, the deviation value of the left track relative to the standard track is larger than that of the right track; when the track standard is greater than the maximum value of the first preset range, the deviation value of the track right track relative to the standard track is determined to be larger than that of the track left track. When the track standard degree is smaller than the minimum value of the first preset range, the motion scheme comprises the step of adjusting the left track; when the track standard is greater than the maximum value of the first preset range, the motion scheme comprises adjusting the right track. The force standard degree is based on the data of the left foot, so when the force standard degree is smaller than the minimum value of the second preset range, the movement scheme comprises the step of adjusting the left force; when the force standard is smaller than the maximum value of the second preset range, the movement scheme comprises adjusting the right force
The second aspect of the present application provides a motion monitoring device based on a graphene flexible pressure sensor, comprising:
the pressure detector 11 is arranged at the bottom of the foot equipment of the user and used for acquiring first pressure data of the user; the pressure detector is composed of a graphene flexible pressure sensor;
a data processor 12 for obtaining second pressure data, third pressure data, first duration and second duration from the first pressure data; the first duration characterizes a duration of a single contact of the left foot of the user with the ground; the second duration characterizes a duration of a single contact of the right foot of the user with the ground; the second pressure data characterizes pressure data acquired for the left foot over the first duration; the third pressure data characterizes the pressure data acquired for the right foot over the second duration; and obtaining the exercise condition of the user according to the first duration, the second pressure data, the third pressure data and the weight data of the user.
Because the movement monitoring device based on the graphene flexible pressure sensor of the present embodiment includes the movement monitoring method based on the graphene flexible pressure sensor of any one of the above embodiments, the movement monitoring device based on the graphene flexible pressure sensor of the present embodiment includes the beneficial effects corresponding to the movement monitoring method based on the graphene flexible pressure sensor of any one of the above embodiments, which are not described in detail herein.
A third aspect of the present application provides a computer readable storage medium storing a computer program which, when executed by a processor, implements a method according to any one of the first aspects.
A fourth aspect of the present application provides a wearable smart device comprising a storage medium having a computer program present, characterized in that the computer program, when executed by a processor, implements the method of any of the first aspects.
The wearable intelligent device can be matched with intelligent processing equipment for intelligent shoes and intelligent data processing equipment for intelligent insoles; the intelligent processing device can be an intelligent mobile device with a wireless output transmission function, and comprises a smart phone, a smart watch and the like.
It should be noted that, because the content of information interaction and execution process between the above devices/units is based on the same concept as the method embodiment of the present application, specific functions and technical effects thereof may be referred to in the method embodiment section, and will not be described herein again.
It will be apparent to those skilled in the art that, for convenience and brevity, only the above-described division of the functional elements and circuits is illustrated, and that, in practical applications, the above-described functional allocations may be implemented by different functional elements and circuits, i.e., the internal structures of the circuits are divided into different functional elements or circuits to implement all or part of the above-described functions. The functional elements and circuits in the embodiments may be integrated in one processing element, or each element may exist alone physically, or two or more elements may be integrated in one element, where the integrated elements may be implemented in hardware or software functional elements. In addition, specific names of the functional elements and circuits are only for distinguishing from each other, and are not intended to limit the protection scope of the present application. The specific working process of the elements and circuits in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
Reference throughout this specification to "various embodiments," "in an embodiment," "one embodiment," or "an embodiment," etc., means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. Thus, the appearances of the phrases "in various embodiments," "in some embodiments," "in one embodiment," or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. Thus, a particular feature, structure, or characteristic shown or described in connection with one embodiment may be combined, in whole or in part, with features, structures, or characteristics of one or more other embodiments without assuming that such combination is not an undue or non-functional limitation.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. 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.
In the embodiments provided in the present invention, it should be understood that the disclosed circuits/terminal devices and methods may be implemented in other manners. For example, the circuit/terminal device embodiments described above are merely illustrative, e.g., the division of the circuits or elements is merely a logical function division, and there may be additional divisions in actual implementation, e.g., multiple elements or circuits may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, circuits or elements, which may be electrical, mechanical or otherwise.
The elements described as separate components may or may not be physically separate, and components shown as elements may or may not be physical elements, i.e., may be located in one place, or may be distributed over multiple network elements. Some or all of the elements may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional element in each embodiment of the present invention may be integrated in one processing element, or each element may exist alone physically, or two or more elements may be integrated in one element. The integrated elements described above may be implemented in hardware or in software functional elements.
Embodiments of the present application also provide a computer readable storage medium storing a computer program which, when executed by a processor, implements steps that may implement the various method embodiments described above.
The integrated circuits/elements may be stored in a computer readable storage medium if implemented in the form of software functional elements and sold or used as a stand alone product. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or circuitry capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.
The foregoing is only a partial embodiment of the present invention, and it should be noted that it will be apparent to those skilled in the art that modifications and adaptations can be made without departing from the principles of the present invention, and such modifications and adaptations are intended to be comprehended within the scope of the present invention.