CN111780779A - Data processing method, device, equipment and storage medium - Google Patents
Data processing method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a data processing method, a data processing device, data processing equipment and a storage medium. The method comprises the following steps: acquiring first acceleration data acquired by an acceleration acquisition unit of the mobile terminal in a preset period; performing Fourier transform processing on the first acceleration data to obtain first frequency spectrum data; selecting second spectrum data meeting a preset condition from the first spectrum data; performing inverse Fourier transform processing on the second frequency spectrum data to obtain second acceleration data; and counting steps according to the second acceleration data.
Description
Technical Field
The present invention relates to terminal technologies, and in particular, to a data processing method, apparatus, device, and storage medium.
Background
With the rapid development of mobile terminals and sensors, the mobile terminals may be provided with various sensors, for example, acceleration sensors. During actual application, the application program of the mobile terminal can utilize acceleration data acquired by the acceleration sensor to realize a step counting function, and display corresponding step numbers on a display interface. However, the number of steps may not match the number of steps generated by the actual movement of the user, which may cause inaccurate step counting and affect the user experience.
Therefore, it is desirable to find a technical solution capable of improving the step-counting accuracy.
Disclosure of Invention
In view of this, embodiments of the present invention are intended to provide a data processing method, apparatus, device, and storage medium.
The technical scheme of the invention is realized as follows:
the embodiment of the invention provides a data processing method, which comprises the following steps:
acquiring first acceleration data acquired by an acceleration acquisition unit of the mobile terminal in a preset period;
performing Fourier transform processing on the first acceleration data to obtain first frequency spectrum data;
selecting second spectrum data meeting a preset condition from the first spectrum data;
performing inverse Fourier transform processing on the second frequency spectrum data to obtain second acceleration data; and counting steps according to the second acceleration data.
In the above scheme, the first acceleration data includes x-axis acceleration data, y-axis acceleration data, and z-axis acceleration data; the fourier transform processing is performed on the first acceleration data to obtain first spectrum data, and the processing includes:
calculating covariance data by using x-axis acceleration data, y-axis acceleration data and z-axis acceleration data contained in the first acceleration data;
and carrying out Fourier transform processing on the covariance data to obtain first frequency spectrum data.
In the foregoing solution, the selecting the second spectrum data meeting the preset condition from the first spectrum data includes one of:
selecting spectrum data with amplitude values meeting a first preset condition from the first spectrum data, and taking the selected spectrum data as second spectrum data;
selecting frequency spectrum data with the frequency meeting a second preset condition from the first frequency spectrum data, and taking the selected frequency spectrum data as second frequency spectrum data;
the ordinate of the first frequency spectrum data is the amplitude of acting force applied to the mobile terminal corresponding to the first acceleration data; the abscissa of the first spectrum data is the frequency of the acting force applied to the mobile terminal corresponding to the first acceleration data.
In the foregoing scheme, the selecting, from the first spectrum data, spectrum data whose amplitude satisfies a first preset condition, and using the selected spectrum data as second spectrum data includes:
dividing the first spectrum data into two parts of spectrum data;
selecting a first maximum value and a first maximum value according to the amplitude value aiming at one part of the frequency spectrum data in the two parts of frequency spectrum data; selecting a second maximum value and a second maximum value according to the amplitude value aiming at the other part of the frequency spectrum data in the two parts of frequency spectrum data;
determining an index corresponding to the first maximum value, an index corresponding to the second maximum value and an index corresponding to the second maximum value according to frequencies corresponding to the two parts of spectrum data;
and obtaining the second spectrum data based on the first maximum value, the second maximum value and the determined index.
In the foregoing scheme, the selecting, from the first spectrum data, spectrum data whose frequency meets a second preset condition includes:
determining a frequency threshold interval;
and selecting the frequency spectrum data matched with the frequency threshold interval from the first frequency spectrum data, and taking the selected frequency spectrum data as the second frequency spectrum data.
In the foregoing solution, the step counting according to the second acceleration data includes:
for every two pieces of acceleration data in the second acceleration data, comparing numerical values corresponding to the two corresponding pieces of acceleration data to obtain a comparison result;
determining a third maximum value according to the comparison result;
updating the calculated number of steps when the third maximum value is greater than a numerical threshold.
In the foregoing solution, the step counting according to the second spectrum data includes:
for each acceleration data in the second acceleration data, summing the numerical values corresponding to the corresponding acceleration data to obtain a first numerical value; averaging the first numerical value to obtain a second numerical value;
and updating the calculated step number when the second value is larger than the numerical threshold.
An embodiment of the present invention provides a data processing apparatus, including:
the acquisition unit is used for acquiring first acceleration data acquired by an acceleration acquisition unit of the mobile terminal in a preset period;
the first processing unit is used for carrying out Fourier transform processing on the first acceleration data to obtain first frequency spectrum data; selecting second spectrum data meeting a preset condition from the first spectrum data;
the second processing unit is used for performing inverse Fourier transform processing on the second frequency spectrum data to obtain second acceleration data; and counting steps according to the second acceleration data.
In the foregoing solution, the first processing unit is specifically configured to:
the first acceleration data comprise x-axis acceleration data, y-axis acceleration data and z-axis acceleration data; calculating covariance data by using x-axis acceleration data, y-axis acceleration data and z-axis acceleration data contained in the first acceleration data;
and carrying out Fourier transform processing on the covariance data to obtain first frequency spectrum data.
In the foregoing solution, the first processing unit is specifically configured to perform one of the following operations:
selecting spectrum data with amplitude values meeting a first preset condition from the first spectrum data, and taking the selected spectrum data as second spectrum data;
selecting frequency spectrum data with the frequency meeting a second preset condition from the first frequency spectrum data, and taking the selected frequency spectrum data as second frequency spectrum data;
the ordinate of the first frequency spectrum data is the amplitude of acting force applied to the mobile terminal corresponding to the first acceleration data; the abscissa of the first spectrum data is the frequency of the acting force applied to the mobile terminal corresponding to the first acceleration data.
In the foregoing solution, the first processing unit is specifically configured to:
dividing the first spectrum data into two parts of spectrum data;
selecting a first maximum value and a first maximum value according to the amplitude value aiming at one part of the frequency spectrum data in the two parts of frequency spectrum data; selecting a second maximum value and a second maximum value according to the amplitude value aiming at the other part of the frequency spectrum data in the two parts of frequency spectrum data;
determining an index corresponding to the first maximum value, an index corresponding to the second maximum value and an index corresponding to the second maximum value according to frequencies corresponding to the two parts of spectrum data;
and obtaining the second spectrum data based on the first maximum value, the second maximum value and the determined index.
In the foregoing solution, the first processing unit is specifically configured to:
determining a frequency threshold interval;
and selecting the frequency spectrum data matched with the frequency threshold interval from the first frequency spectrum data, and taking the selected frequency spectrum data as the second frequency spectrum data.
In the foregoing solution, the second processing unit is specifically configured to: :
for every two pieces of acceleration data in the second acceleration data, comparing numerical values corresponding to the two corresponding pieces of acceleration data to obtain a comparison result;
determining a third maximum value according to the comparison result;
updating the calculated number of steps when the third maximum value is greater than a numerical threshold.
In the foregoing solution, the second processing unit is specifically configured to:
for each acceleration data in the second acceleration data, summing the numerical values corresponding to the corresponding acceleration data to obtain a first numerical value; averaging the first numerical value to obtain a second numerical value;
and updating the calculated step number when the second value is larger than the numerical threshold.
An embodiment of the present invention provides a mobile terminal, including: a processor and a memory for storing a computer program capable of running on the processor,
wherein the processor is configured to implement the steps of any of the above methods when executing the computer program when executing the program.
An embodiment of the present invention provides a storage medium, on which a computer program is stored, which when executed by a processor implements the steps of any of the methods described above.
According to the data processing method, the data processing device, the data processing equipment and the storage medium, first acceleration data acquired by an acceleration acquisition unit of the mobile terminal in a preset period are acquired; performing Fourier transform processing on the first acceleration data to obtain first frequency spectrum data; selecting second spectrum data meeting a preset condition from the first spectrum data; performing inverse Fourier transform processing on the second frequency spectrum data to obtain second acceleration data; and counting steps according to the second acceleration data. By adopting the technical scheme of the embodiment of the invention, the first acceleration data of the time domain space is converted into the first frequency spectrum data of the frequency domain space, the frequency spectrum data which does not accord with the preset condition is filtered from the first frequency spectrum data to obtain the second frequency spectrum data which meets the preset condition, and the step counting is realized by utilizing the second acceleration data corresponding to the second frequency spectrum data, so that the calculated step number can accord with the step number generated by the actual motion of the user, the step counting accuracy is improved, and the user experience is further improved.
Drawings
FIG. 1 is a schematic flow chart of an implementation of a data processing method according to an embodiment of the present invention;
fig. 2 is a schematic diagram of performing correlation processing on first acceleration data to obtain second acceleration data according to an embodiment of the present invention;
FIG. 3 is a diagram illustrating second spectrum data selected from the first spectrum data and matched with an amplitude threshold interval according to an embodiment of the present invention;
FIG. 4 is a diagram illustrating second spectrum data selected from the first spectrum data and matched with a frequency threshold interval according to an embodiment of the present invention;
fig. 5 is a schematic flow chart illustrating an implementation process of selecting, by a mobile terminal according to an embodiment of the present invention, second spectrum data that meets a preset condition from first spectrum data;
FIG. 6 is a diagram illustrating first spectrum data according to an embodiment of the present invention;
FIG. 7 is a diagram illustrating second spectrum data according to an embodiment of the present invention;
FIG. 8 is a schematic illustration of first acceleration data and second acceleration data in accordance with an embodiment of the present invention;
FIG. 9 is a block diagram of a data processing apparatus according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of a mobile terminal according to an embodiment of the present invention.
Detailed Description
Before describing the technical solution of the embodiment of the present invention in detail, a description will be given of a related art.
In the related art, the application program of the mobile terminal may implement a step-counting function, for example, an application program such as WeChat, qq motion, and the like. After the acceleration data is detected by an acceleration sensor arranged in the mobile terminal, the step number is obtained by a driving layer of an application program of the mobile terminal by using the acceleration data and reported to the application layer of the application program, and the received step number is displayed on a display interface by the application layer of the application program. In the related technology, a user can place a mobile terminal such as a mobile phone on a step brushing instrument, the step brushing instrument continuously applies acting force to the mobile terminal, so that an acceleration sensor of the mobile terminal detects acceleration data, an application program of the mobile terminal realizes a step counting function by utilizing the acceleration data, and further the problem of inaccurate step counting is caused; in addition, the number of steps reported to the application layer by the driver layer of the application program can be modified by implanting codes, thereby causing the problem of inaccurate step counting.
Based on this, in various embodiments of the present invention, first acceleration data acquired by an acceleration acquisition unit of a mobile terminal in a preset period is acquired; performing Fourier transform processing on the first acceleration data to obtain first frequency spectrum data; selecting second spectrum data meeting a preset condition from the first spectrum data; performing inverse Fourier transform processing on the second frequency spectrum data to obtain second acceleration data; and counting steps according to the second acceleration data.
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
The embodiment of the invention provides a data processing method, which is applied to a mobile terminal, and fig. 1 is a schematic flow chart of the implementation of the data processing method in the embodiment of the invention; as shown in fig. 1, the method includes:
step 101: acquiring first acceleration data acquired by an acceleration acquisition unit of the mobile terminal in a preset period;
step 102: performing Fourier transform processing on the first acceleration data to obtain first frequency spectrum data; selecting second spectrum data meeting a preset condition from the first spectrum data;
step 103: performing inverse Fourier transform processing on the second frequency spectrum data to obtain second acceleration data; and counting steps according to the second acceleration data.
Here, in step 101, the acceleration acquisition unit may refer to an acceleration sensor provided in the mobile terminal. When acting force is applied to the mobile terminal, the acceleration acquisition unit of the mobile terminal can acquire the first acceleration data. For example, if the user fixes the mobile terminal on the arm of the user, when the user performs a swing arm motion, the mobile terminal receives an acting force so that the acceleration acquisition unit can acquire the first acceleration data.
Here, in step 102, considering that the number of steps calculated by the mobile terminal is inaccurate when the force applied to the mobile terminal is not the force generated by the actual motion of the user, in order to be able to analyze whether the force applied to the mobile terminal is the force generated by the actual motion of the user, as shown in fig. 2, the first acceleration data in the time domain space may be converted into the first spectrum data in the frequency domain space by performing Fast Fourier Transform (FFT) on the first acceleration data, and the spectrum data that does not meet the preset condition may be filtered from the first spectrum data to obtain the second spectrum data that meets the preset condition, and the second spectrum data may be converted into the second acceleration data in the time domain space by performing Inverse Fast Fourier Transform (IFFT) on the second spectrum data, and counting steps according to the second acceleration data, so that the calculated steps can be matched with the steps generated by the actual movement of the user, and the accuracy of counting steps is improved.
Here, in step 103, when an acting force is applied to the mobile terminal, the acceleration acquisition unit of the mobile terminal may acquire the first acceleration data, and when the acting force applied to the mobile terminal is not an acting force generated by actual motion of the user, the first acceleration data may be subjected to fourier transform to obtain first spectrum data, and second spectrum data satisfying a preset condition is selected from the first spectrum data, and the corresponding second acceleration data is obtained by using the second spectrum data.
In practical application, in order to accurately analyze the acting force applied to the mobile terminal, the three-axis acceleration sensor can be used for measuring spatial acceleration data, namely the first acceleration data, and the measured spatial acceleration data is used for calculating covariance data; the covariance data is capable of characterizing forces exerted on the mobile terminal.
Based on this, in one embodiment, the first acceleration data includes x-axis acceleration data, y-axis acceleration data, and z-axis acceleration data; the Fourier transform processing is carried out on the first acceleration data to obtain first frequency spectrum data, and the first frequency spectrum data comprises
Calculating covariance data by using x-axis acceleration data, y-axis acceleration data and z-axis acceleration data contained in the first acceleration data;
and carrying out Fourier transform processing on the covariance data to obtain first frequency spectrum data.
Here, in practical application, an x axis and a y axis may be established by a first plane where an acceleration acquisition unit of the mobile terminal is located, and a z axis may be established by a second plane perpendicular to the first plane, where the x axis corresponds to the first gravitational component, the y axis corresponds to the second gravitational component, and the z axis corresponds to the third gravitational component; the first, second, and third gravitational components may be used to determine an acting force applied to the mobile terminal.
Here, the covariance data may be calculated according to equation (1).
Wherein c represents covariance data; x represents x-axis acceleration data, y represents y-axis acceleration data, and z represents z-axis acceleration data.
In practical application, when the acting force applied to the mobile terminal is not consistent with the acting force generated by the actual motion of the user, if the step counting is realized by utilizing the first acceleration data generated aiming at the acting force applied to the mobile terminal, it will result in inaccurate step counting, and therefore, it is necessary to remove the acceleration data that does not meet the condition from the first acceleration data, and the first acceleration data is removed from the time domain with certain difficulty, so that the first acceleration data of the time domain space can be converted into the first frequency spectrum data of the frequency domain space, the frequency spectrum data which does not meet the condition is removed from the first frequency spectrum data, and the second frequency spectrum data which meets the condition is obtained, and the second frequency spectrum data of the frequency domain space is converted into second acceleration data of the time domain space, so that the step counting is realized by utilizing the second acceleration data, and the step counting accuracy can be ensured.
Based on this, in an embodiment, the selecting, from the first spectrum data, second spectrum data that satisfies a preset condition includes one of:
selecting spectrum data with amplitude values meeting a first preset condition from the first spectrum data, and taking the selected spectrum data as second spectrum data;
selecting frequency spectrum data with the frequency meeting a second preset condition from the first frequency spectrum data, and taking the selected frequency spectrum data as second frequency spectrum data;
the ordinate of the first frequency spectrum data is the amplitude of acting force applied to the mobile terminal corresponding to the first acceleration data; the abscissa of the first spectrum data is the frequency of the acting force applied to the mobile terminal corresponding to the first acceleration data.
Next, how to select the second spectrum data satisfying the preset condition from the first spectrum data in the frequency domain space will be described.
In case 1, second spectrum data having an amplitude satisfying a first preset condition is selected from the first spectrum data in the frequency domain space.
In practical application, the ordinate of the first spectrum data may represent the amplitude of the acting force applied to the mobile terminal, and the abscissa may represent the frequency of the acting force applied to the mobile terminal, so that when the first spectrum data includes spectrum data that can represent that the amplitude of the acting force applied to the mobile terminal does not conform to the amplitude of the acting force generated by the actual motion of the user, an amplitude threshold interval may be set, spectrum data within the amplitude threshold interval may be selected from the first spectrum data, and the selected spectrum data is used as second spectrum data that meets a preset condition.
Based on this, in an embodiment, the selecting, from the first spectrum data, spectrum data whose amplitude satisfies a first preset condition, and using the selected spectrum data as second spectrum data includes:
dividing the first spectrum data into two parts of spectrum data;
selecting a first maximum value and a first maximum value according to the amplitude value aiming at one part of the frequency spectrum data in the two parts of frequency spectrum data; selecting a second maximum value and a second maximum value according to the amplitude value aiming at the other part of the frequency spectrum data in the two parts of frequency spectrum data;
determining an index corresponding to the first maximum value, an index corresponding to the second maximum value and an index corresponding to the second maximum value according to frequencies corresponding to the two parts of spectrum data;
and obtaining the second spectrum data based on the first maximum value, the second maximum value and the determined index.
Here, the amplitude threshold interval may be determined according to a maximum amplitude and a second maximum amplitude respectively corresponding to two portions of spectrum data included in the first spectrum data; and taking the frequency spectrum data in the amplitude threshold interval as second frequency spectrum data.
For example, fig. 3 is a schematic diagram of second spectrum data selected from the first spectrum data and matched with the amplitude threshold interval, and as shown in fig. 3, it is assumed that the acceleration acquisition unit of the mobile terminal acquires acceleration data of an x axis, a y axis, and a z axis in a preset period to obtain N ═ 64 acceleration data, calculates corresponding covariance data according to the 64 acceleration data, and performs fourier transform processing on the calculated covariance data to obtain corresponding first spectrum data. The first spectrum data comprises two parts of spectrum data, namely a part of spectrum data corresponding to [0, N/2 ═ 32] and another part of spectrum data corresponding to [32, N ═ 64], traversing the part of spectrum data corresponding to [0, N/2 ═ 32], finding a first maximum value and a first maximum value, and assuming that X (16) and X (15) are used for representing, the index corresponding to X (16) is 16, and the index corresponding to X (15) is 15; and traversing another part of the spectrum data corresponding to [32, N ═ 64], finding a second maximum value and a second maximum value, and assuming that X (40) and X (45) are used for representation, the index corresponding to X (40) is 40, and the index corresponding to X (45) is 45, so that the second spectrum data can be obtained based on X (16), X (15), X (40), X (45) and the corresponding indexes.
In practical application, the amplitude threshold interval can be determined according to the magnitude of the acting force applied to the mobile terminal and generated by the actual motion of the user.
In case 2, second spectrum data having a frequency satisfying a first preset condition is selected from the first spectrum data in the frequency domain space.
In practical application, the ordinate of the first spectrum data may represent the amplitude of the acting force applied to the mobile terminal, and the abscissa may represent the frequency of the acting force applied to the mobile terminal, so that when the first spectrum data includes spectrum data that can represent that the frequency of the acting force applied to the mobile terminal does not conform to the frequency of the acting force generated by the actual motion of the user, a frequency threshold interval may be set, spectrum data within the frequency threshold interval may be selected from the first spectrum data, and the selected spectrum data is used as second spectrum data that meets a preset condition.
Based on this, in an embodiment, the selecting, from the first spectrum data, spectrum data with a frequency satisfying a second preset condition includes:
determining a frequency threshold interval;
and selecting the frequency spectrum data matched with the frequency threshold interval from the first frequency spectrum data, and taking the selected frequency spectrum data as the second frequency spectrum data.
Here, the frequency threshold interval may be determined according to an applied frequency of the acting force generated by the actual motion of the user to the mobile terminal; the spectrum data within the frequency threshold interval is taken as the second spectrum data.
For example, fig. 4 is a schematic diagram of second spectrum data selected from the first spectrum data and matched with the frequency threshold interval, and as shown in fig. 4, it is assumed that the acceleration acquisition unit of the mobile terminal acquires acceleration data of an x axis, a y axis, and a z axis in a preset period to obtain N-64 acceleration data, calculates corresponding covariance data according to the 64 acceleration data, and performs fourier transform processing on the calculated covariance data to obtain corresponding first spectrum data. Assuming that the acting force generated by the actual motion of the user is applied to the mobile terminal so that the acceleration acquisition unit of the mobile terminal can acquire 32 pieces of acceleration data, selecting spectrum data within a frequency threshold interval [1/32,1/64] from the first spectrum data, and taking the selected spectrum data as second spectrum data.
Here, after obtaining the second spectrum data, the second spectrum data in the frequency domain space may be subjected to an inverse fourier transform process to obtain second acceleration data in the time domain space; and counting steps according to the second acceleration data.
Next, how to count the steps based on the second acceleration data will be described.
And in case 1, selecting a maximum value from the numerical values corresponding to the second acceleration data, judging whether the maximum value is greater than a numerical threshold, and adding 1 to the calculated step number when the maximum value is determined to be greater than the numerical threshold.
In practical application, after second spectrum data matched with the amplitude threshold interval or the frequency threshold interval is selected from the first spectrum data, inverse fourier transform processing is performed on the second spectrum data to obtain corresponding second acceleration data, a maximum value can be selected from the second acceleration data, and when the maximum value is greater than a preset threshold value, the user can be considered to have moved one step.
Based on this, in an embodiment, the step counting according to the second acceleration data includes:
for every two pieces of acceleration data in the second acceleration data, comparing numerical values corresponding to the two corresponding pieces of acceleration data to obtain a comparison result;
determining a third maximum value according to the comparison result;
updating the calculated number of steps when the third maximum value is greater than a numerical threshold.
Wherein the numerical threshold may characterize an amount of force applied to the mobile terminal by a user using the mobile terminal while in actual motion. Specifically, the setting may be performed according to related information input by a user using the mobile terminal, for example, according to an age input by the user using the mobile terminal, and assuming that the age of the user is 30 years, an average value of forces applied to the mobile terminal by a large number of users whose ages are [28, 32] interval during actual movement is counted, and the average value is set as the numerical threshold.
And 2, averaging the numerical value corresponding to the second acceleration data, judging whether the average value is greater than a numerical threshold value, and adding 1 to the calculated step number when the average value is determined to be greater than the numerical threshold value.
In practical application, after second frequency spectrum data matched with the amplitude threshold interval or the frequency threshold interval is selected from the first frequency spectrum data, inverse Fourier transform processing is carried out on the second frequency spectrum data to obtain corresponding second acceleration data, an average value is obtained on a numerical value corresponding to the second acceleration data, whether the average value is larger than a numerical threshold value or not is judged, and when the average value is determined to be larger than the numerical threshold value, a user can be considered to move one step.
Based on this, in an embodiment, the step counting according to the second spectrum data includes:
for each acceleration data in the second acceleration data, summing the numerical values corresponding to the corresponding acceleration data to obtain a first numerical value; averaging the first numerical value to obtain a second numerical value;
and updating the calculated step number when the second value is larger than the numerical threshold.
Wherein the numerical threshold may characterize an amount of force applied to the mobile terminal by a user using the mobile terminal while in actual motion. Specifically, the setting may be performed according to related information input by a user using the mobile terminal, for example, according to an age input by the user using the mobile terminal, and assuming that the age of the user is 30 years, an average value of forces applied to the mobile terminal by a large number of users whose ages are [28, 32] interval during actual movement is counted, and the average value is set as the numerical threshold.
In an embodiment, as shown in fig. 5, a process for selecting, by a mobile terminal, second spectrum data meeting a preset condition from first spectrum data is described, where the process includes:
step 501: the method comprises the steps of obtaining first acceleration data collected by an acceleration collecting unit of the mobile terminal in a preset period.
Here, it is assumed that the acceleration acquisition unit of the mobile terminal acquires acceleration data of an x axis, a y axis, and a z axis in a preset period, and obtains N-64 or 128 pieces of acceleration data.
Step 502: and carrying out Fourier transform processing on the first acceleration data to obtain first frequency spectrum data.
Here, the corresponding covariance data is calculated from the obtained 64 or 128 strokes of acceleration data, and the fourier transform processing is performed on the calculated covariance data to obtain corresponding first spectrum data.
Step 503: and selecting the frequency spectrum data matched with the amplitude threshold interval or the frequency threshold interval from the first frequency spectrum data, and taking the selected frequency spectrum data as second frequency spectrum data.
Here, an amplitude threshold interval may be set according to the maximum amplitude and the second maximum amplitude respectively corresponding to the two portions of spectrum data included in the first spectrum data, spectrum data within the amplitude threshold interval may be selected from the first spectrum data, and the selected spectrum data may be used as the second spectrum data.
For example, an amplitude threshold interval is determined according to a maximum amplitude and a secondary maximum amplitude respectively corresponding to two parts of spectrum data included in the first spectrum data; the spectrum data in the amplitude threshold interval is represented by X (16), X (15) X (40) and X (45), the index corresponding to X (16) is 16, the index corresponding to X (15) is 15, and the index corresponding to X (45) is 45, so that the second spectrum data can be obtained based on X (16), X (15), X (40), X (45) and the corresponding indexes, and the obtained second spectrum data is stored in the array FFT _ ARR. The 16 th column of the FFT _ ARR array stores X (16), the 15 th column stores X (15), the 40 th column stores X (40), and the 45 th column stores X (45), and the other columns store 0.
Here, a frequency threshold interval may be set according to an applied frequency of the acting force generated by the actual motion of the user to the mobile terminal, spectrum data within the frequency threshold interval may be selected from the first spectrum data, and the selected spectrum data may be used as the second spectrum data.
For example, the frequency threshold interval may be determined according to the frequency of the applied force to the mobile terminal generated by the actual motion of the user; the spectrum data in the frequency threshold interval is represented by the spectrum data corresponding to [1/32,1/64], and thus, the spectrum data corresponding to [1/32,1/64] can be stored in the array FFT _ ARR.
Fig. 6 is a schematic diagram of first spectrum data, and fig. 7 is a schematic diagram of second spectrum data.
Here, after the second spectrum data is obtained, the second spectrum data may be subjected to inverse fourier transform processing to obtain second acceleration data; storing the obtained second acceleration data in a plurality of IFFT _ ARR arrays, recording a numerical value (recorded as i) corresponding to a corresponding element and a numerical value corresponding to a previous element as (i-1) for each element in the IFFT _ ARR arrays to obtain a first difference value, and calculating the difference between the numerical value corresponding to the corresponding element and a numerical value (i +1) corresponding to the next element to obtain a second difference value; when the first difference is greater than or equal to 0 and the second difference is less than or equal to 0, the value corresponding to the current element is determined to be the maximum value, and the maximum value is stored in the set of STEP _ ARR. When the value corresponding to the element stored in the array STEP _ ARR is larger than the value threshold value, such as 11, the calculated STEP number is added by 1, and the currently calculated total STEP number is displayed on the display interface. Wherein the numerical threshold may characterize an amount of force applied to the mobile terminal by a user using the mobile terminal while in actual motion. Specifically, the setting may be performed according to the related information input by the user using the mobile terminal, for example, according to the age input by the user using the mobile terminal, and assuming that the age of the user is 30 years, the average value of the acting force applied to the mobile terminal by a large number of users whose ages are [28, 32] interval during actual movement is counted, and the counted average value is set as the numerical threshold.
Fig. 8 is a schematic diagram of the first acceleration data and the second acceleration data.
Here, according to the amplitude threshold interval or the frequency threshold interval, the second spectrum data meeting the preset condition is selected from the first spectrum data, and the following advantages are provided:
(1) the step-counting algorithm model can be provided and is suitable for various application platforms, and the step-counting algorithm model can realize the following steps: carrying out Fourier transform processing on the acquired first acceleration data of the time domain space to obtain first frequency spectrum data of the frequency domain space; filtering out frequency spectrum data which are not matched with the amplitude threshold value space from the first frequency spectrum data to obtain second frequency spectrum data meeting preset conditions; performing inverse Fourier transform processing on the second frequency spectrum data to obtain second acceleration data of a time domain space; and counting steps according to the second acceleration data. Compared with the mode of directly utilizing the time domain acceleration data to realize step counting in the related technology, the method can avoid the problem of inaccurate step counting caused by step counting according to the acceleration data generated by the acting force applied to the mobile terminal under the condition that the acting force applied to the mobile terminal is not consistent with the action generated by the actual motion of the user, thereby improving the accuracy of step counting, and can also be suitable for various application platforms in the mobile terminal to realize the consistency of step counting results.
(2) The step number calculated according to the second acceleration data can be ensured to be more real, and the calculated step number is more consistent with the step number generated by the actual movement of the user. Compared with the mode that the user realizes step counting through a step brushing instrument in the related technology, the method can judge whether the first acceleration data is the acceleration data generated under the acting force generated by the actual motion of the user, and under the condition that the first acceleration data is not generated under the acting force generated by the actual motion of the user, the first acceleration data is processed in a related mode to obtain the second acceleration data, and step counting is realized according to the second acceleration data, so that the obtained step counting data is more real.
(3) It is possible to realize accurate step counting for a specific user in a specific scene, that is, when step counting is realized based on the second acceleration data, the magnitude of the acting force applied to the mobile terminal by a large number of users in the motion process can be counted by combining the relevant information of the users currently using the mobile terminal, setting a corresponding numerical threshold according to the counted acting force, comparing the numerical value corresponding to the second acceleration data with the set numerical threshold, when the value corresponding to the second acceleration data is larger than the set value threshold value, adding 1 to the calculated step number, compared with the mode of using a step-brushing instrument to replace a user to realize the step-counting function in the related technology, the method not only can utilize the related information of the user to realize accurate step counting aiming at the user, and the problem that the pedometer cannot be optimized and accurate step counting cannot be realized for a specific user due to the fact that the pedometer is solidified in the chip in the related technology can be avoided.
By adopting the technical scheme of the embodiment of the invention, the first acceleration data of the time domain space is converted into the first frequency spectrum data of the frequency domain space, the frequency spectrum data which does not accord with the preset condition is filtered out from the first frequency spectrum data to obtain the second frequency spectrum data which meets the preset condition, and the step counting is realized by utilizing the second acceleration data which corresponds to the second frequency spectrum data, so that the calculated step number can accord with the step number generated by the actual motion of the user, the accuracy rate of the step counting is improved, and the user experience is further improved.
In order to implement the data processing method according to the embodiment of the present invention, an embodiment of the present invention further provides a data processing apparatus, which is disposed on a mobile terminal. FIG. 9 is a block diagram of a data processing apparatus according to an embodiment of the present invention; as shown in fig. 9, the apparatus includes:
the acquiring unit 91 is used for acquiring first acceleration data acquired by an acceleration acquiring unit of the mobile terminal in a preset period;
the first processing unit 92 is configured to perform fourier transform processing on the first acceleration data to obtain first frequency spectrum data; selecting second spectrum data meeting a preset condition from the first spectrum data;
the second processing unit 93 is configured to perform inverse fourier transform processing on the second frequency spectrum data to obtain second acceleration data; and counting steps according to the second acceleration data.
In an embodiment, the first processing unit 92 is specifically configured to:
the first acceleration data comprise x-axis acceleration data, y-axis acceleration data and z-axis acceleration data; calculating covariance data by using x-axis acceleration data, y-axis acceleration data and z-axis acceleration data contained in the first acceleration data;
and carrying out Fourier transform processing on the covariance data to obtain first frequency spectrum data.
In an embodiment, the first processing unit 92 is specifically configured to perform one of the following operations:
selecting spectrum data with amplitude values meeting a first preset condition from the first spectrum data, and taking the selected spectrum data as second spectrum data;
selecting frequency spectrum data with the frequency meeting a second preset condition from the first frequency spectrum data, and taking the selected frequency spectrum data as second frequency spectrum data;
the ordinate of the first frequency spectrum data is the amplitude of acting force applied to the mobile terminal corresponding to the first acceleration data; the abscissa of the first spectrum data is the frequency of the acting force applied to the mobile terminal corresponding to the first acceleration data.
In an embodiment, the first processing unit 92 is specifically configured to:
dividing the first spectrum data into two parts of spectrum data;
selecting a first maximum value and a first maximum value according to the amplitude value aiming at one part of the frequency spectrum data in the two parts of frequency spectrum data; selecting a second maximum value and a second maximum value according to the amplitude value aiming at the other part of the frequency spectrum data in the two parts of frequency spectrum data;
determining an index corresponding to the first maximum value, an index corresponding to the second maximum value and an index corresponding to the second maximum value according to frequencies corresponding to the two parts of spectrum data;
and obtaining the second spectrum data based on the first maximum value, the second maximum value and the determined index.
In an embodiment, the first processing unit 92 is specifically configured to:
determining a frequency threshold interval;
and selecting the frequency spectrum data matched with the frequency threshold interval from the first frequency spectrum data, and taking the selected frequency spectrum data as the second frequency spectrum data.
In an embodiment, the second processing unit 93 is specifically configured to: :
for every two pieces of acceleration data in the second acceleration data, comparing numerical values corresponding to the two corresponding pieces of acceleration data to obtain a comparison result;
determining a third maximum value according to the comparison result;
updating the calculated number of steps when the third maximum value is greater than a numerical threshold.
In an embodiment, the second processing unit 93 is specifically configured to:
for each acceleration data in the second acceleration data, summing the numerical values corresponding to the corresponding acceleration data to obtain a first numerical value; averaging the first numerical value to obtain a second numerical value;
and updating the calculated step number when the second value is larger than the numerical threshold.
In practical application, the obtaining unit 91 may be implemented by a communication interface in the apparatus; the first processing unit 92 and the second processing unit 93 may be implemented by a processor in the apparatus; the Processor may be a Central Processing Unit (CPU), a Digital Signal Processor (DSP), a Micro Control Unit (MCU), or a Programmable gate array (FPGA).
It should be noted that: the apparatus provided in the foregoing embodiment is only exemplified by the division of each program module when performing data processing, and in practical applications, the processing may be distributed to different program modules according to needs, that is, the internal structure of the terminal is divided into different program modules to complete all or part of the processing described above. In addition, the apparatus provided in the above embodiments and the data processing method embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments for details, which are not described herein again.
Based on the hardware implementation of the above devices, an embodiment of the present invention further provides a mobile terminal, fig. 10 is a schematic diagram of a hardware structure of the mobile terminal according to the embodiment of the present invention, as shown in fig. 10, a mobile terminal 100 includes a memory 103, a processor 102, and a computer program stored in the memory 103 and capable of running on the processor 102; the processor 102 implements the method provided by one or more of the above technical solutions when executing the program.
It should be noted that, the specific steps implemented when the processor 102 executes the program have been described in detail above, and are not described herein again.
It is understood that the mobile terminal 100 further comprises a communication interface 101, wherein the communication interface 101 is used for information interaction with other devices; meanwhile, various components in the mobile terminal 100 are coupled together by a bus system 104. It will be appreciated that the bus system 104 is configured to enable connected communication between these components. The bus system 104 includes a power bus, a control bus, a status signal bus, and the like, in addition to the data bus.
It will be appreciated that the memory 103 in this embodiment may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. Among them, the nonvolatile Memory may be a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a magnetic random access Memory (FRAM), a magnetic random access Memory (Flash Memory), a magnetic surface Memory, an optical disk, or a Compact Disc Read-Only Memory (CD-ROM); the magnetic surface storage may be disk storage or tape storage. The volatile Memory may be a Random Access Memory (RAM) which serves as an external cache. By way of illustration and not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Synchronous Static Random Access Memory (SSRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), Double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM), Enhanced Synchronous Dynamic Random Access Memory (ESDRAM), Enhanced Synchronous Dynamic Random Access Memory (Enhanced DRAM), Synchronous Dynamic Random Access Memory (SLDRAM), Direct Memory (DRmb Access), and Random Access Memory (DRAM). The described memory for embodiments of the present invention is intended to comprise, without being limited to, these and any other suitable types of memory.
The method disclosed in the above embodiments of the present invention may be applied to the processor 102, or implemented by the processor 102. The processor 102 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 102. The processor 102 described above may be a general purpose processor, a DSP, or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. Processor 102 may implement or perform the methods, steps, and logic blocks disclosed in embodiments of the present invention. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the method disclosed by the embodiment of the invention can be directly implemented by a hardware decoding processor, or can be implemented by combining hardware and software modules in the decoding processor. The software modules may be located in a storage medium that is located in a memory where the processor 102 reads information to perform the steps of the aforementioned methods in conjunction with its hardware.
The embodiment of the invention also provides a storage medium, in particular a computer storage medium, and more particularly a computer readable storage medium. Stored thereon are computer instructions, i.e. computer programs, which when executed by a processor perform the methods provided by one or more of the above-mentioned aspects.
In the embodiments provided in the present invention, it should be understood that the disclosed method and intelligent device may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
It should be noted that: "first," "second," and the like are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
In addition, the technical solutions described in the embodiments of the present invention may be arbitrarily combined without conflict.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention.
Claims (10)
1. A method of data processing, the method comprising:
acquiring first acceleration data acquired by an acceleration acquisition unit of the mobile terminal in a preset period;
performing Fourier transform processing on the first acceleration data to obtain first frequency spectrum data;
selecting second spectrum data meeting a preset condition from the first spectrum data;
performing inverse Fourier transform processing on the second frequency spectrum data to obtain second acceleration data; and counting steps according to the second acceleration data.
2. The method of claim 1, wherein the first acceleration data comprises x-axis acceleration data, y-axis acceleration data, z-axis acceleration data; the fourier transform processing is performed on the first acceleration data to obtain first spectrum data, and the processing includes:
calculating covariance data by using x-axis acceleration data, y-axis acceleration data and z-axis acceleration data contained in the first acceleration data;
and carrying out Fourier transform processing on the covariance data to obtain first frequency spectrum data.
3. The method according to claim 1 or 2, wherein the selecting the second spectrum data satisfying a preset condition from the first spectrum data comprises one of:
selecting spectrum data with amplitude values meeting a first preset condition from the first spectrum data, and taking the selected spectrum data as second spectrum data;
selecting frequency spectrum data with the frequency meeting a second preset condition from the first frequency spectrum data, and taking the selected frequency spectrum data as second frequency spectrum data;
the ordinate of the first frequency spectrum data is the amplitude of acting force applied to the mobile terminal corresponding to the first acceleration data; the abscissa of the first spectrum data is the frequency of the acting force applied to the mobile terminal corresponding to the first acceleration data.
4. The method according to claim 3, wherein the selecting spectral data with an amplitude satisfying a first preset condition from the first spectral data and using the selected spectral data as the second spectral data comprises:
dividing the first spectrum data into two parts of spectrum data;
selecting a first maximum value and a first maximum value according to the amplitude value aiming at one part of the frequency spectrum data in the two parts of frequency spectrum data; selecting a second maximum value and a second maximum value according to the amplitude value aiming at the other part of the frequency spectrum data in the two parts of frequency spectrum data;
determining an index corresponding to the first maximum value, an index corresponding to the second maximum value and an index corresponding to the second maximum value according to frequencies corresponding to the two parts of spectrum data;
and obtaining the second spectrum data based on the first maximum value, the second maximum value and the determined index.
5. The method according to claim 3, wherein the selecting the spectrum data with the frequency satisfying a second predetermined condition from the first spectrum data comprises:
determining a frequency threshold interval;
and selecting the frequency spectrum data matched with the frequency threshold interval from the first frequency spectrum data, and taking the selected frequency spectrum data as the second frequency spectrum data.
6. The method of any of claims 1 to 5, wherein said step counting based on said second acceleration data comprises:
for every two pieces of acceleration data in the second acceleration data, comparing numerical values corresponding to the two corresponding pieces of acceleration data to obtain a comparison result;
determining a third maximum value according to the comparison result;
updating the calculated number of steps when the third maximum value is greater than a numerical threshold.
7. The method according to any one of claims 1 to 5, wherein said counting steps according to said second spectrum data comprises:
for each acceleration data in the second acceleration data, summing the numerical values corresponding to the corresponding acceleration data to obtain a first numerical value; averaging the first numerical value to obtain a second numerical value;
and updating the calculated step number when the second value is larger than the numerical threshold.
8. A data processing apparatus, comprising:
the acquisition unit is used for acquiring first acceleration data acquired by an acceleration acquisition unit of the mobile terminal in a preset period;
the first processing unit is used for carrying out Fourier transform processing on the first acceleration data to obtain first frequency spectrum data; selecting second spectrum data meeting a preset condition from the first spectrum data;
the second processing unit is used for performing inverse Fourier transform processing on the second frequency spectrum data to obtain second acceleration data; and counting steps according to the second acceleration data.
9. A mobile terminal, comprising: a processor and a memory for storing a computer program capable of running on the processor,
wherein the processor is adapted to perform the steps of the method of any one of claims 1 to 7 when running the computer program.
10. A storage medium having a computer program stored thereon, the computer program, when being executed by a processor, performing the steps of the method of any one of claims 1 to 7.
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