CN107784298B - Identification method and device - Google Patents
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- CN107784298B CN107784298B CN201711184250.5A CN201711184250A CN107784298B CN 107784298 B CN107784298 B CN 107784298B CN 201711184250 A CN201711184250 A CN 201711184250A CN 107784298 B CN107784298 B CN 107784298B
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Abstract
The invention provides an identification method and a device, which are used for solving the problem of inaccurate step in a complex motion state, and the method comprises the following steps: obtaining a peak amplitude statistical value and an adjacent peak distance statistical value of a step point in a first step state; acquiring a peak amplitude value and an adjacent peak distance value corresponding to a target step counting point, wherein the target step counting point is a step counting point of the gait which is not determined after the last step counting point which is determined in the first step state is obtained; identifying whether the target step point belongs to the first gait according to the peak amplitude statistic value, the adjacent peak distance statistic value, the peak amplitude value and the adjacent peak distance value; and if the target gait point does not belong to the first step state, determining that the target gait point is the gait point of the second gait. The invention can dynamically identify the gait change in real time by comparing and analyzing the walking data, thereby realizing accurate step counting.
Description
Technical Field
The present invention relates to the field of communications, and in particular, to an identification method and apparatus.
Background
Along with the popularization of smart phones and smart watches, people's lives are increasingly unable to leave the support of smart devices. Because people often carry intelligent devices with them when doing sports, the combination of intelligent devices and sports is a field worth researching at present, and various step counting methods, such as a step counting method based on a mobile phone sensor and mobile phone software, come up to now.
In the existing step counting method, when a sudden change occurs in a motion state, in order to ensure the authenticity of detected motion data, the intelligent device often uses a priori fixed threshold or an adaptive threshold to remove interference information in the motion data. However, the thresholds are usually set according to different a priori motion states. The existing method for processing the motion data through the threshold value cannot accurately identify the motion state of the sudden change in real time.
There is a need for a method to dynamically identify gait changes in real time to achieve accurate step counting.
Disclosure of Invention
The embodiment of the invention provides an identification method, which aims to solve the problem of inaccurate step counting caused by incapability of identifying gait changes dynamically in real time in the movement process.
In order to solve the technical problem, the invention is realized as follows:
in a first aspect, an identification method is provided, and the method includes:
obtaining a peak amplitude statistical value and an adjacent peak distance statistical value of a step point in a first step state;
acquiring a peak amplitude value and an adjacent peak distance value corresponding to a target step counting point, wherein the target step counting point is a step counting point of the gait which is not determined after the last step counting point which is determined in the first step state is obtained;
identifying whether the target step point belongs to the first gait according to the peak amplitude statistic value, the adjacent peak distance statistic value, the peak amplitude value and the adjacent peak distance value;
and if the target pace point does not belong to the first gait, determining the target pace point as a pace point of a second gait.
In a second aspect, there is provided an identification apparatus, the apparatus comprising:
the first acquisition module is used for acquiring a peak amplitude statistical value and an adjacent peak distance statistical value of the step point in a first step state;
the second acquisition module is used for acquiring a peak amplitude value and an adjacent peak distance value corresponding to a target step counting point, wherein the target step counting point is a step counting point of the gait which is not determined after the last step counting point which is determined in the first step state is determined;
the identification module is used for identifying whether the target pace point belongs to the first gait according to the peak amplitude statistic value, the adjacent peak distance statistic value, the peak amplitude value and the adjacent peak distance value;
and the determining module is used for determining that the target pace point is a pace point of a second gait if the target pace point does not belong to the first gait.
In a third aspect, a mobile terminal is provided, comprising a processor, a memory and a computer program stored on the memory and being executable on the processor, the computer program, when executed by the processor, implementing the steps of the method according to the first aspect.
In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method according to the first aspect.
In the embodiment of the invention, the peak amplitude statistical value and the adjacent peak distance statistical value of the step point in the first step state, and the peak amplitude value and the adjacent peak distance value corresponding to the target step point are obtained. And the target pace point is the pace point of the gait which is not determined after the last pace point which is determined in the first step. And then, identifying whether the target step point belongs to a first gait according to the peak amplitude statistic value, the adjacent peak distance statistic value, the peak amplitude value and the adjacent peak distance value, and if the target step point does not belong to the first gait, determining that the target step point is the step point of a second gait. According to the wave crest amplitude value corresponding to the target step counting point and the wave crest amplitude statistical value in the gait, and the adjacent wave crest distance value corresponding to the target step counting point and the adjacent wave crest distance statistical value in the gait, whether the target step counting point belongs to the first gait is determined, and if the target step counting point does not belong to the first gait, whether the target step counting point belongs to the second gait is determined, so that the motion state change is recognized in time, and the step counting accuracy is improved. Therefore, the scheme can identify the step counting point when the motion state changes so as to dynamically identify the gait change in real time, thereby realizing accurate step counting.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a human gait acceleration curve;
FIG. 2 is a flow chart of an identification method of the present invention;
FIG. 3a is a flow chart of a preferred recognition method of the present invention;
FIG. 3b is a schematic diagram of a change curve of human gait resultant acceleration;
FIG. 4 is a diagram of an identification device according to the present invention;
fig. 5 is a schematic diagram of a hardware structure of a mobile terminal according to the present invention.
Detailed Description
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, not all, embodiments of the present 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.
Example one
The embodiment of the invention provides an identification method, which is used for solving the problem of inaccurate step in a complex motion state. When a person wears a motion sensor to perform a sport, the motion sensor is often capable of collecting motion information, which may include parameters such as time of the sport, speed of the sport, acceleration of the sport, and the like.
Taking walking as an example, fig. 1 is a human gait resultant acceleration change curve, the ordinate in the graph is a resultant acceleration value, the reference value in fig. 1 is 1, the reference value can be set according to the actual curve condition, and in this embodiment, the difference value between the peak and the reference value is the peak amplitude. The abscissa is the movement time, and the curve in the graph shows the change condition of the acceleration of the human body in the walking process. The combined acceleration refers to the combined acceleration h of the person in the directions of three axes x, y and z which are vertical to each other when the person walks, and the specific formula is as follows:
as can be seen from fig. 1, in the walking process, under the influence of the stride, the pace, the environmental factors, etc., the resultant acceleration curve is composed of a plurality of variable peaks, wherein the distance between adjacent peaks is variable, the amplitude of the peaks is variable, and a part of the peaks further include a pseudo peak. In order to improve the step counting accuracy of complex movement, an embodiment of the present invention provides an identification method, as shown in fig. 2, the method includes the following steps:
step 21: obtaining a peak amplitude statistical value and an adjacent peak distance statistical value of a step point in a first step state;
the first step state may be a combined acceleration motion curve formed by walking with uniform continuous stride and uniform pace within a period of time.
The statistical value may be one of an arithmetic average, a weighted average, a square average, and a median. In this embodiment, taking an arithmetic mean value as an example, the peak amplitude statistic may specifically be an arithmetic mean value of peak amplitudes of the step points in the first step. The above-mentioned statistical value of the distance between adjacent peaks may be an average value of distances between at least one adjacent peak, where the distance between adjacent peaks refers to a distance between one step-counting peak and its previous adjacent step-counting peak, and may be represented by a horizontal coordinate difference, and in this embodiment, may refer to a time difference between two adjacent step-counting peaks.
Of course, it should be understood that if there is only one step point in the first step, the distance between adjacent peaks may be a default value, or 2 times the distance between the peak and the trough of the step point, and so on.
Step 22: acquiring a peak amplitude value and an adjacent peak distance value corresponding to a target step counting point, wherein the target step counting point is a step counting point of the gait which is not determined after the last step counting point which is determined in the first step state is obtained;
wherein, the target pace point may refer to: after the plurality of step points of the first gait have been determined, one or more step points of the gait have not yet been determined adjacent to the step point in the last first gait.
Step 23: and identifying whether the target step point belongs to the first gait according to the peak amplitude statistic value, the adjacent peak distance statistic value, the peak amplitude value and the adjacent peak distance value.
The peak amplitude value refers to the difference between a peak and a reference value, and the distance value between adjacent peaks refers to the difference between the horizontal coordinates of a target step point and a step point adjacent to the target step point, namely the time difference between the two peaks. Since the peak amplitude statistical value is calculated based on the peak amplitudes at a plurality of the count points in the first gait, the peak amplitude statistical value has the characteristic of the first gait. By comparing the peak amplitude value with the peak amplitude statistical value, the correlation between the target step counting point and the step counting point in the first step state in the aspect of peak amplitude can be obtained. Similarly, by comparing the distance value between the adjacent peaks with the statistical value of the distance between the adjacent peaks, the correlation between the target step count point and the step count point in the first step in the distance between the adjacent peaks can be obtained. And determining whether the peak of the target step counting point has the characteristic of the first gait by combining the two correlations so as to judge whether the target step counting point belongs to the first gait.
Step 24: and if the target pace point does not belong to the first gait, determining the target pace point as a pace point of a second gait.
If the target step counting point does not belong to the first gait, the target step counting point is another step counting point different from the step counting point in the first gait, and therefore the target step counting point is determined as the step counting point of the second gait. Preferably, the second step is a new gait. Preferably, the target pace point is taken as the first pace point of the second gait.
In the embodiment of the invention, the peak amplitude statistical value and the adjacent peak distance statistical value of the step point in the first step state, and the peak amplitude value and the adjacent peak distance value corresponding to the target step point are obtained. And the target pace point is the pace point of the gait which is not determined after the last pace point which is determined in the first step. And then, identifying whether the target step point belongs to a first gait according to the peak amplitude statistic value, the adjacent peak distance statistic value, the peak amplitude value and the adjacent peak distance value, and if the target step point does not belong to the first gait, determining that the target step point is the step point of a second gait. According to the wave crest amplitude value corresponding to the target step counting point and the wave crest amplitude statistical value in the gait, and the adjacent wave crest distance value corresponding to the target step counting point and the adjacent wave crest distance statistical value in the gait, whether the target step counting point belongs to the first gait is determined, and if the target step counting point does not belong to the first gait, whether the target step counting point belongs to the second gait is determined, so that the motion state change is recognized in time, and the step counting accuracy is improved. Therefore, the scheme can identify the step counting point when the motion state changes so as to dynamically identify the gait change in real time, thereby realizing accurate step counting.
Example two
Based on the above embodiments, a second embodiment of the present invention provides a gait recognition method with better pace-counting points, so as to solve the problem of inaccurate pace counting in a complex exercise state, where a flowchart of the method is shown in fig. 3a, and the method includes the following steps:
step 301: acquiring a peak amplitude value and an adjacent peak distance value of a step point in a first step state;
specifically, fig. 3b is a schematic diagram of a human gait and acceleration curve, which shows the relationship between the amplitudes of a plurality of continuous peaks and the distances between adjacent peaks. The difference value between the vertical coordinate of the peak and the reference value is assumed to be F1I.e. peak amplitude value of F1The difference value between the abscissa of the wave crest and the abscissa of the adjacent wave crest is T1I.e. the distance between adjacent peaks is T1。
Step 302: obtaining a peak amplitude statistical value and an adjacent peak distance statistical value of a step point in a first step state;
the first step state includes at least one step point, and it is assumed that the first step state includes two step points, the first step point is the step point obtained in step 301, the second step point is adjacent to the first step point, and the peak amplitude of the second step point is F2The distance value between adjacent wave crests is T2. Because the two step-counting points are both the step-counting points in the first gait, the peak amplitudes of the two step-counting points satisfy | F |1-F2|/F1<0.2, and the adjacent peak distance values of the two step points satisfy (T)2-T1)/rate∈[0.4,1]Wherein rate is the sampling frequency of the accelerometer. In practice, the rate is often 50HZ, i.e. samples are taken every 0.02 seconds.
According to the two step points in the first gait, a peak amplitude statistic and an adjacent peak distance statistic corresponding to the first step can be obtained, and the statistic can be specifically one of an arithmetic mean, a weighted mean, a squared mean and a median. Peak amplitude statistic, i.e. wave of the step point in the first stepArithmetic mean of peak amplitudes F, F ═ F (F)1+F2)/2. The statistical value of the distance between adjacent peaks is the arithmetic mean value T of the distance between adjacent step points in the first step, where T is (T ═ T-1+T2)/2。
For a gait containing a plurality of step points, the peak amplitude statistic F ═ F (F)1+F2+……Fn) And/n, similarly, the statistical value of the distance between adjacent peaks is T ═ T1+T2+……Tn) And/n. By calculating the peak amplitude statistic value and the adjacent peak distance statistic value, the peak amplitude characteristics and the adjacent peak distance characteristics of a plurality of step counting points in one gait can be displayed, and the two statistic values can be used for judging whether the step counting points acquired later have the characteristics of the current gait or not and judging the sudden change of the gait in time.
Step 303: acquiring a peak amplitude value and an adjacent peak distance value corresponding to the target step counting point;
in this step, the target step point is the last step point determined in the first step, and the step point of the gait is not determined yet, and the target step point is hereinafter referred to as a step point to be determined. In this embodiment, one step point to be determined is taken as an example for description, and the peak amplitude value of the step point to be determined is F3The step counting point to be judged is adjacent to the last step counting point determined as the first gait, and the distance value of the adjacent wave crests is T3. Wherein the target pace point may be a pace point which is closest to the last pace point and has not yet been determined for the gait after the last pace point which has been determined for the first step.
By judging whether the target step counting point belongs to the first gait or not, the step change of the step counting point can be identified in time. Because the target step counting point is the closest step counting point to the last step counting point in the first step state, the invention can sequentially identify each step counting point, determine the gait of each step counting point according to the wave crest amplitude value and the adjacent wave crest distance value of each step counting point, and dynamically identify the gait change in real time, thereby realizing accurate step counting.
Step 304: and identifying whether the target step point belongs to the first gait according to the peak amplitude statistic value, the adjacent peak distance statistic value, the peak amplitude value and the adjacent peak distance value.
The specific determination method is as follows:
and if the difference value between the peak amplitude value of the target step point and the peak amplitude statistic value is smaller than or equal to a first preset value, and/or the difference value between the adjacent peak distance value of the target step point and the adjacent peak distance statistic value is smaller than or equal to a second preset value, identifying that the target step point belongs to the first gait. Then, step 303 is entered.
In the present embodiment, the first preset value is 0.2, and the second preset value is 0.2. According to the peak amplitude statistic value F obtained in the step 302, when F is equal to F3And F satisfies F3When F is less than or equal to 0.2, the peak amplitude of the step point to be judged has the characteristic of the first step state peak amplitude. In addition, F is a method other than the above method of judging correlation using difference values3The judgment of the correlation with F can be made in many ways, for example: ratio or variation, etc., preferably when F3And F satisfies | F3And when F is less than or equal to 0.2, identifying the target step point as the characteristic of the first step state wave peak amplitude. Similarly, according to the above-mentioned statistical value T of the distance between adjacent peaks obtained in step 302, when T is equal to T3Satisfies T with T3When T is less than or equal to 0.2, the distance between adjacent peaks of the to-be-judged step point has the characteristic of the distance between adjacent peaks of the first step state. Similarly, in addition to the above way of determining correlation using difference, T3The determination of the correlation with T can also be made in a variety of ways, preferably when T is3Satisfies | T with T3And when the value of T/T is less than or equal to 0.2, identifying the characteristic that the distance between adjacent peaks of the target step point has the distance between adjacent peaks of the first step state. And when the wave crest amplitude and the adjacent wave crest distance of the to-be-judged step point correspond to the characteristics of the first step state, determining the to-be-judged step point as the next step point of the first step state.
And calculating the correlation between the peak amplitude of the step counting point to be judged, the distance between adjacent peaks and the first step state according to the two statistical values of the first gait, thereby determining whether the step counting point to be judged has the characteristics of the first gait. The method can express the correlation between the first gait and the to-be-judged step counting point in a numerical value mode, and when the correlation between the to-be-judged step counting point and the first gait is strong, the to-be-judged step counting point is determined to be the next step counting point of the first gait.
In addition, when the target step point is identified to belong to the first step state, updating the peak amplitude statistic value according to the peak amplitude value of the target step point and the peak amplitude value of the at least one step point; and updating the adjacent peak statistic value according to the adjacent peak distance value of the target step point and the adjacent peak distance value of the step point in the first step state.
Specifically, when it is determined that the step counting point to be judged belongs to the first gait, F of the step counting point is determined3Updating F, and after updating F ═ F1+F2+F3)/3. In the same way, according to T3Updating T, and the updated T ═ T1+T2+T3)/3. T 'and F' may be used to determine whether the next step count point adjacent to the step count point for which it has not been determined that the gait is next has the characteristics of the first gait. When the number of the step counting points in the first gait is determined to be increased, the method can update the characteristic value of the first gait in time, adjust the characteristic of the first gait according to the latest step counting point, and express the characteristic in a numerical value form so as to further judge the correlation between the step counting point and the first gait.
And if the difference value between the peak amplitude value of the target step point and the peak amplitude statistic value is larger than a first preset value, and/or the difference value between the adjacent peak distance value of the target step point and the adjacent peak distance statistic value is larger than a second preset value, identifying that the target step point does not belong to the first gait.
In the present embodiment, the first preset value is 0.2, and the second preset value is 0.2. For a target step-counting point not belonging to the first gait, three cases are specifically distinguished:
A. the difference value of the peak amplitude value of the target step point relative to the peak amplitude statistic value is larger than a first preset value, and the difference value of the adjacent peak distance value of the target step point relative to the adjacent peak distance statistic value is larger than a second preset value.
Specifically, it can be expressed as: f3-F>0.2 and T3-T>0.2. In practical applications, the situation may be that the person is changing from a constant walking to a running or other movement state.
B. The difference value of the peak amplitude value of the target step point relative to the peak amplitude statistic value is larger than a first preset value, but the difference value of the adjacent peak distance value of the target step point relative to the adjacent peak distance statistic value is not larger than a second preset value.
Specifically, it can be expressed as: f3-F>0.2 and T3-T is less than or equal to 0.2. In practical applications, the situation may be that a person moves from walking at a constant speed to a state of movement such as going up and down stairs or jumping.
C. The difference value of the peak amplitude value of the target step point relative to the peak amplitude statistic value is not larger than a first preset value, but the difference value of the adjacent peak distance value of the target step point relative to the adjacent peak distance statistic value is larger than a second preset value.
Specifically, it can be expressed as: f3-F.ltoreq.0.2 and T3-T>0.2. In practice, it may be the case that a person decreases pace or stops moving during walking.
In addition, the step also comprises a better scheme, when the target step counting point and the current gait meet any condition of A, B, C, the method can also screen a pseudo wave peak, and specifically, whether the step counting point meeting the first step characteristic exists within a distance of 1.2T after the last step counting point of the first step is judged. If the step counting point meeting the first step state characteristic exists within the distance of 1.2T, confirming that the target step counting point is a pseudo wave peak, and taking the step counting point as an interference factor to not count steps; if there is no step-counting point satisfying the first step-state characteristic within the distance of 1.2T, it is determined that the target step-counting point is not the next step-counting point of the first gait, and the process proceeds to step 305.
Therefore, when any one characteristic value of the peak amplitude and the adjacent peak distance in the target step counting point is not consistent with the characteristic of the current gait, the target step counting point is determined not to have the characteristic of the current gait, namely the target step counting point does not belong to the first gait. The invention distinguishes the step counting point with the change of the motion state in time by judging the relation between two characteristic values of the wave peak amplitude and the adjacent wave peak distance in the target step counting point and the current gait characteristic. When any one or more motion characteristics such as stride, pace, motion frequency and the like are changed, the peak amplitude value and/or the adjacent peak distance value in the target step counting point are/is correspondingly changed, so that the characteristics of the step counting point with the changed motion state are expressed in a numerical value form.
Step 305: determining the target step counting point as a step counting point of a second gait;
when the target step counting point does not belong to the first gait and the motion state of the target step counting point is suddenly changed, the first gait jumps out in time, the second step state is established according to the target step counting point, the step counting point is prevented from being judged by the characteristics of the first gait, and therefore the step counting precision is improved in the motion change state.
Step 306: and taking the peak amplitude value of the target step point as the peak amplitude statistical value of the second gait, and taking the adjacent peak distance value of the target step point as the adjacent peak distance statistical value of the second gait.
Through the judgment, the target step point does not have the characteristic of the first gait, so the peak amplitude statistical value and the adjacent peak distance statistical value corresponding to the second step state are different from those of the first step state. Only one step counting point exists in the current second gait, so that the peak amplitude value of the step counting point is used as the peak amplitude statistical value of the second gait, and the adjacent peak distance value of the step counting point is used as the adjacent peak distance statistical value of the second gait.
Step 307: after the initial step counting point of the second gait is obtained, the peak amplitude value and the adjacent peak distance value of the step counting point of the gait are not determined;
the step counting point of the gait to which the determination is not made may be one or more step counting points, and a new step counting point to be determined is after the last step counting point in the second gait.
Step 308: and determining whether the step counting point to be judged after the initial step counting point is the next step counting point of the second gait according to the correlation between the peak amplitude statistical value of the second gait and the peak amplitude value of the step counting point to be judged after the initial step counting point and the correlation between the adjacent peak distance statistical value of the second gait and the adjacent peak distance value of the step counting point to be judged after the initial step counting point.
The specific judgment rule for the correlation is the same as that in step 304, and is not described herein again.
In the embodiment of the invention, whether the step counting point to be judged belongs to the step counting point of the gait is determined according to the peak amplitude value corresponding to the step counting point to be judged and the peak amplitude statistical value in the gait, and the adjacent peak distance value corresponding to the step counting point to be judged and the adjacent peak distance statistical value in the gait, so that the motion state change is identified in time, and the step counting accuracy is improved. In addition, when the step counting point to be judged is determined to belong to the step counting point of the gait, the invention can update the relevant statistical value corresponding to the gait in time. When the step counting point to be judged is determined not to belong to the step counting point of the gait, the invention can create a new gait and a corresponding related statistical value in time according to the step counting point to be judged, and judge the subsequent step counting point based on the related statistical value corresponding to the new gait. Therefore, the step counting point when the motion state changes can be identified, the accuracy of identifying the motion change is improved, and the step counting precision is further improved.
EXAMPLE III
The present embodiment provides an identification apparatus 40, which has a structure as shown in fig. 4, and is used to implement the method of the above embodiment, and the apparatus includes but is not limited to the following functional modules:
the first obtaining module 41 is configured to obtain a peak amplitude statistic and an adjacent peak distance statistic of the step point in the first step.
A second obtaining module 42, configured to obtain a peak amplitude value and an adjacent peak distance value corresponding to a target step counting point, where the target step counting point is a step counting point of a gait to which the target step counting point belongs, which is not determined after the last step counting point determined in the first step;
an identifying module 43, configured to identify whether the target pace point belongs to the first gait according to the peak amplitude statistic, the adjacent peak distance statistic, the peak amplitude value, and the adjacent peak distance value;
a determining module 44, configured to determine that the target pace point is a pace point of a second gait if the target pace point does not belong to the first gait.
In the embodiment of the invention, the peak amplitude statistical value and the adjacent peak distance statistical value of the step point in the first step state, and the peak amplitude value and the adjacent peak distance value corresponding to the target step point are obtained. And the target pace point is the pace point of the gait which is not determined after the last pace point which is determined in the first step. And then, identifying whether the target step point belongs to a first gait according to the peak amplitude statistic value, the adjacent peak distance statistic value, the peak amplitude value and the adjacent peak distance value, and if the target step point does not belong to the first gait, determining that the target step point is the step point of a second gait. According to the wave crest amplitude value corresponding to the target step counting point and the wave crest amplitude statistical value in the gait, and the adjacent wave crest distance value corresponding to the target step counting point and the adjacent wave crest distance statistical value in the gait, whether the target step counting point belongs to the first gait is determined, and if the target step counting point does not belong to the first gait, whether the target step counting point belongs to the second gait is determined, so that the motion state change is recognized in time, and the step counting accuracy is improved. Therefore, the scheme can identify the step counting point when the motion state changes so as to dynamically identify the gait change in real time, thereby realizing accurate step counting.
Wherein the target pace point may be a pace point which is closest to the last pace point and has not yet been determined for the gait after the last pace point which has been determined for the first step.
The invention can identify the step state change of the step counting point in time by judging whether the target step counting point belongs to the first step state. Because the target step counting point is the closest step counting point to the last step counting point, the invention can sequentially identify each step counting point, determine the gait of each step counting point according to the wave crest amplitude value of each step counting point and the distance value of the adjacent wave crests, and dynamically identify the gait change in real time, thereby realizing accurate step counting.
Preferably, the identification module is specifically configured to: and if the difference value between the peak amplitude value of the target step point and the peak amplitude statistic value is larger than a first preset value, and/or the difference value between the adjacent peak distance value of the target step point and the adjacent peak distance statistic value is larger than a second preset value, identifying that the target step point does not belong to the first gait.
Therefore, when any one characteristic value of the peak amplitude and the adjacent peak distance in the target step counting point is not consistent with the characteristic of the current gait, the target step counting point is determined not to have the characteristic of the current gait, namely the target step counting point does not belong to the first gait. The invention distinguishes the step counting point with the change of the motion state in time by judging the relation between two characteristic values of the wave peak amplitude and the adjacent wave peak distance in the target step counting point and the current gait characteristic. When any one or more motion characteristics such as stride, pace, motion frequency and the like are changed, the peak amplitude value and/or the adjacent peak distance value in the target step counting point are/is correspondingly changed, so that the characteristics of the step counting point with the changed motion state are expressed in a numerical value form.
Preferably, the above apparatus further comprises: and the statistic module is used for taking the peak amplitude value of the target step counting point as the peak amplitude statistic value of the second gait and taking the adjacent peak distance value of the target step counting point as the adjacent peak distance statistic value of the second gait after the target step counting point is determined to be the step counting point of the second gait.
After the target step counting point is determined to be the step counting point of the second gait, the peak amplitude statistic value and the adjacent peak distance statistic value corresponding to the second step state are different from those of the first step state because the target step counting point does not have the characteristics of the first gait. Only one step counting point exists in the current second gait, so that the peak amplitude value of the step counting point is used as the peak amplitude statistical value of the second gait, and the adjacent peak distance value of the step counting point is used as the adjacent peak distance statistical value of the second gait.
Preferably, the identification module is specifically configured to: and if the difference value between the peak amplitude value and the peak amplitude statistic value is smaller than or equal to a first preset value, and the difference value between the adjacent peak distance value and the adjacent peak distance statistic value is smaller than or equal to a second preset value, identifying that the target step point belongs to the first gait.
According to the two statistical values of the first gait, the correlation between the peak amplitude of the step counting point to be judged, the distance between adjacent peaks and the first gait is calculated, and therefore whether the step counting point to be judged has the characteristic of the first gait is determined. The method can express the correlation between the first gait and the to-be-judged step counting point in a numerical value mode, and when the correlation between the to-be-judged step counting point and the first gait is strong, the to-be-judged step counting point is determined to be the next step counting point of the first gait.
Preferably, the above apparatus further comprises: the third acquisition module is used for acquiring the peak amplitude value and the adjacent peak distance value of each step point in the first step state before acquiring the peak amplitude statistical value and the adjacent peak distance statistical value of the step point in the first step state;
the first updating module is used for updating the peak amplitude statistical value according to the peak amplitude value of the target step point and the acquired peak amplitude value of each step point in the first step state after the target step point is identified to belong to the first step state;
and the second updating module is used for updating the adjacent peak statistical value according to the adjacent peak distance value of the target step point and the acquired adjacent peak distance value of each step point in the first step state after the target step point is identified to belong to the first step state.
When the number of the step counting points in the first gait is determined to be increased, the method can update the characteristic value of the first gait in time, adjust the characteristic of the first gait according to the latest step counting point, and express the characteristic in a numerical value form so as to further judge the correlation between the step counting point and the first gait.
Each module in the identification apparatus 40 provided by the present invention is configured to implement each process of the method in the above embodiment, and can achieve the same technical effect, and for avoiding repetition, the details are not described here again.
Example four
Figure 5 is a schematic diagram of a hardware configuration of a mobile terminal implementing various embodiments of the present invention,
the mobile terminal 500 includes, but is not limited to: a radio frequency unit 501, a network module 502, an audio output unit 503, an input unit 504, a sensor 505, a display unit 506, a user input unit 507, an interface unit 508, a memory 509, a processor 510, and a power supply 511. Those skilled in the art will appreciate that the mobile terminal architecture shown in fig. 5 is not intended to be limiting of mobile terminals, and that a mobile terminal may include more or fewer components than shown, or some components may be combined, or a different arrangement of components. In the embodiment of the present invention, the mobile terminal includes, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted terminal, a wearable device, a pedometer, and the like.
Wherein, the processor 510 is configured to: obtaining a peak amplitude statistical value and an adjacent peak distance statistical value of a step point in a first step state; acquiring a peak amplitude value and an adjacent peak distance value corresponding to a target step counting point, wherein the target step counting point is a step counting point of the gait which is not determined after the last step counting point which is determined in the first step state is obtained;
identifying whether the target step point belongs to the first gait according to the peak amplitude statistic value, the adjacent peak distance statistic value, the peak amplitude value and the adjacent peak distance value; and if the target pace point does not belong to the first gait, determining the target pace point as a pace point of a second gait.
According to the scheme, the peak amplitude statistical value and the adjacent peak distance statistical value of the step point in the first step state, and the peak amplitude value and the adjacent peak distance value corresponding to the target step point are obtained. And the target pace point is the pace point of the gait which is not determined after the last pace point which is determined in the first step. And then, identifying whether the target step point belongs to a first gait according to the peak amplitude statistic value, the adjacent peak distance statistic value, the peak amplitude value and the adjacent peak distance value, and if the target step point does not belong to the first gait, determining that the target step point is the step point of a second gait. According to the wave crest amplitude value corresponding to the target step counting point and the wave crest amplitude statistical value in the gait, and the adjacent wave crest distance value corresponding to the target step counting point and the adjacent wave crest distance statistical value in the gait, whether the target step counting point belongs to the first gait is determined, and if the target step counting point does not belong to the first gait, whether the target step counting point belongs to the second gait is determined, so that the motion state change is recognized in time, and the step counting accuracy is improved. Therefore, the scheme can identify the step counting point when the motion state changes so as to dynamically identify the gait change in real time, thereby realizing accurate step counting.
It should be understood that, in the embodiment of the present invention, the radio frequency unit 501 may be used for receiving and sending signals during a message sending and receiving process or a call process, and specifically, receives downlink data from a base station and then processes the received downlink data to the processor 510; in addition, the uplink data is transmitted to the base station. In general, radio frequency unit 501 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 501 can also communicate with a network and other devices through a wireless communication system.
The mobile terminal provides the user with wireless broadband internet access through the network module 502, such as helping the user send and receive e-mails, browse webpages, access streaming media, and the like.
The audio output unit 503 may convert audio data received by the radio frequency unit 501 or the network module 502 or stored in the memory 509 into an audio signal and output as sound. Also, the audio output unit 503 may also provide audio output related to a specific function performed by the mobile terminal 500 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 503 includes a speaker, a buzzer, a receiver, and the like.
The input unit 504 is used to receive an audio or video signal. The input Unit 504 may include a Graphics Processing Unit (GPU) 5041 and a microphone 5042, and the Graphics processor 5041 processes image data of a still picture or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 506. The image frames processed by the graphic processor 5041 may be stored in the memory 509 (or other storage medium) or transmitted via the radio frequency unit 501 or the network module 502. The microphone 5042 may receive sounds and may be capable of processing such sounds into audio data. The processed audio data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 501 in case of the phone call mode.
The mobile terminal 500 also includes at least one sensor 505, such as a light sensor, motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor that adjusts the brightness of the display panel 5061 according to the brightness of ambient light, and a proximity sensor that turns off the display panel 5061 and/or a backlight when the mobile terminal 500 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally three axes), detect the magnitude and direction of gravity when stationary, and can be used to identify the posture of the mobile terminal (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), and vibration identification related functions (such as pedometer, tapping); the sensors 505 may also include fingerprint sensors, pressure sensors, iris sensors, molecular sensors, gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc., which are not described in detail herein.
The display unit 506 is used to display information input by the user or information provided to the user. The Display unit 506 may include a Display panel 5061, and the Display panel 5061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.
The user input unit 507 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal. Specifically, the user input unit 507 includes a touch panel 5071 and other input devices 5072. Touch panel 5071, also referred to as a touch screen, may collect touch operations by a user on or near it (e.g., operations by a user on or near touch panel 5071 using a finger, stylus, or any suitable object or attachment). The touch panel 5071 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 510, and receives and executes commands sent by the processor 510. In addition, the touch panel 5071 may be implemented in various types such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 5071, the user input unit 507 may include other input devices 5072. In particular, other input devices 5072 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described in detail herein.
Further, the touch panel 5071 may be overlaid on the display panel 5061, and when the touch panel 5071 detects a touch operation thereon or nearby, the touch operation is transmitted to the processor 510 to determine the type of the touch event, and then the processor 510 provides a corresponding visual output on the display panel 5061 according to the type of the touch event. Although in fig. 5, the touch panel 5071 and the display panel 5061 are two independent components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 5071 and the display panel 5061 may be integrated to implement the input and output functions of the mobile terminal, and is not limited herein.
The interface unit 508 is an interface through which an external device is connected to the mobile terminal 500. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 508 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the mobile terminal 500 or may be used to transmit data between the mobile terminal 500 and external devices.
The memory 509 may be used to store software programs as well as various data. The memory 509 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 509 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device.
The processor 510 is a control center of the mobile terminal, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal and processes data by operating or executing software programs and/or modules stored in the memory 509 and calling data stored in the memory 509, thereby performing overall monitoring of the mobile terminal. Processor 510 may include one or more processing units; preferably, the processor 510 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 510.
The mobile terminal 500 may further include a power supply 511 (e.g., a battery) for supplying power to various components, and preferably, the power supply 511 may be logically connected to the processor 510 via a power management system, so that functions of managing charging, discharging, and power consumption are performed via the power management system.
In addition, the mobile terminal 500 includes some functional modules that are not shown, and thus, are not described in detail herein.
Preferably, an embodiment of the present invention further provides a mobile terminal, which includes a processor 510, a memory 509, and a computer program that is stored in the memory 509 and can be run on the processor 510, and when the computer program is executed by the processor 510, the processes of the above-mentioned identification method embodiment are implemented, and the same technical effect can be achieved, and in order to avoid repetition, details are not described here again.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the method in the first embodiment or the second embodiment, and can achieve the same technical effect, and in order to avoid repetition, the computer program is not described herein again. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. An identification method, comprising:
obtaining a peak amplitude statistical value and an adjacent peak distance statistical value of a step point in a first step state;
acquiring a peak amplitude value and an adjacent peak distance value corresponding to a target step counting point, wherein the target step counting point is a step counting point of the gait which is not determined after the last step counting point which is determined in the first step state is obtained;
identifying whether the target step point belongs to the first gait according to the peak amplitude statistic value, the adjacent peak distance statistic value, the peak amplitude value and the adjacent peak distance value;
if the target step counting point does not belong to the first gait, determining the target step counting point as a step counting point of a second gait;
before obtaining the peak amplitude statistic and the adjacent peak distance statistic of the step point in the first step, the method further comprises:
acquiring a peak amplitude value and an adjacent peak distance value of each step point in the first step state;
if the target step counting point is identified to belong to the first gait, the method further comprises the following steps:
updating the peak amplitude statistic value according to the peak amplitude value of the target step point and the acquired peak amplitude value of each step point in the first step state;
and updating the adjacent peak statistic value according to the adjacent peak distance value of the target step point and the acquired adjacent peak distance value of each step point in the first step state.
2. The method of claim 1, wherein the target pace point is a pace point that is closest to the last pace point and has not been determined for the gait after the last pace point that the first step has been determined.
3. The method according to claim 1, wherein the identifying whether the target step point belongs to the first gait based on the peak amplitude statistic, the adjacent peak distance statistic, the peak amplitude value and the adjacent peak distance value comprises:
and if the difference value between the peak amplitude value of the target step point and the peak amplitude statistic value is larger than a first preset value, and/or the difference value between the adjacent peak distance value of the target step point and the adjacent peak distance statistic value is larger than a second preset value, identifying that the target step point does not belong to the first gait.
4. The method of claim 3, after determining that the target pace point is a pace point of a second gait, further comprising:
and taking the peak amplitude value of the target step point as the peak amplitude statistical value of the second gait, and taking the adjacent peak distance value of the target step point as the adjacent peak distance statistical value of the second gait.
5. The method according to claim 1, wherein the identifying whether the target step point belongs to the first gait based on the peak amplitude statistic, the adjacent peak distance statistic, the peak amplitude value and the adjacent peak distance value comprises:
and if the difference value between the peak amplitude value of the target step point and the peak amplitude statistic value is smaller than or equal to a first preset value, and the difference value between the adjacent peak distance value and the adjacent peak distance statistic value is smaller than or equal to a second preset value, identifying that the target step point belongs to the first gait.
6. An identification device, comprising:
the first acquisition module is used for acquiring a peak amplitude statistical value and an adjacent peak distance statistical value of the step point in a first step state;
the second acquisition module is used for acquiring a peak amplitude value and an adjacent peak distance value corresponding to a target step counting point, wherein the target step counting point is a step counting point of the gait which is not determined after the last step counting point which is determined in the first step state is determined;
the identification module is used for identifying whether the target pace point belongs to the first gait according to the peak amplitude statistic value, the adjacent peak distance statistic value, the peak amplitude value and the adjacent peak distance value;
the determining module is used for determining that the target step counting point is a step counting point of a second gait if the target step counting point does not belong to the first gait;
the third acquisition module is used for acquiring the peak amplitude value and the adjacent peak distance value of each step point in the first step state before acquiring the peak amplitude statistical value and the adjacent peak distance statistical value of the step point in the first step state;
the first updating module is used for updating the peak amplitude statistical value according to the peak amplitude value of the target step point and the acquired peak amplitude value of each step point in the first step state after the target step point is identified to belong to the first step state;
and the second updating module is used for updating the adjacent peak statistical value according to the adjacent peak distance value of the target step point and the acquired adjacent peak distance value of each step point in the first step state after the target step point is identified to belong to the first step state.
7. The apparatus of claim 6, wherein the target pace point is a pace point that is closest to the last pace point and has not been determined for the gait after the last pace point that the first step has been determined.
8. The apparatus of claim 6, wherein the identification module is specifically configured to:
and if the difference value between the peak amplitude value of the target step point and the peak amplitude statistic value is larger than a first preset value, and/or the difference value between the adjacent peak distance value of the target step point and the adjacent peak distance statistic value is larger than a second preset value, identifying that the target step point does not belong to the first gait.
9. The apparatus of claim 8, further comprising:
and the statistic module is used for taking the peak amplitude value of the target step counting point as the peak amplitude statistic value of the second gait and taking the adjacent peak distance value of the target step counting point as the adjacent peak distance statistic value of the second gait after the target step counting point is determined to be the step counting point of the second gait.
10. The apparatus of claim 6, wherein the identification module is specifically configured to:
and if the difference value between the peak amplitude value and the peak amplitude statistic value is smaller than or equal to a first preset value, and the difference value between the adjacent peak distance value and the adjacent peak distance statistic value is smaller than or equal to a second preset value, identifying that the target step point belongs to the first gait.
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| CN111879334B (en) * | 2020-07-31 | 2022-03-25 | 歌尔科技有限公司 | Step counting method, step counting device and computer readable storage medium |
| CN112629554A (en) * | 2020-12-10 | 2021-04-09 | 维沃移动通信有限公司 | Motion trajectory acquisition method and device and electronic equipment |
| CN113324559B (en) * | 2021-05-10 | 2023-03-21 | 青岛海尔空调器有限总公司 | Motion step counting method and device and air treatment equipment |
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