CN115984855A - Intelligent pen writing behavior characteristic analysis method and device - Google Patents
Intelligent pen writing behavior characteristic analysis method and device Download PDFInfo
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Abstract
The invention relates to the field of data processing, in particular to an intelligent pen writing behavior characteristic analysis method and device, wherein the method comprises the following steps: collecting pressure data and writing notes; judging time interval conditions according to the pressure acquisition time interval, and slicing the pressure data to form a plurality of pressure slice data; performing writing behavior characteristic analysis on the pressure slice data according to pressure values in the pressure slice data, comparing the pressure values in the pressure slice data with a preset pressure value, marking the pressure values, and counting the number of marks to confirm the important grade of the writing note data corresponding to the marked pressure value so as to form writing behavior characteristics of the writing note; and marking the corresponding writing notes in a corresponding form according to the importance levels corresponding to the pressure values in the writing behavior characteristics. According to the invention, the importance degree of the note is obtained by analyzing the pressure value, so that the note is automatically marked, and the processing effect and efficiency of the intelligent pen writing behavior characteristic analysis are improved.
Description
Technical Field
The invention relates to the field of data processing, in particular to an intelligent pen writing behavior characteristic analysis method and device.
Background
The intelligent pen mainly acquires information of writing traces on common paper by dot matrix, electromagnetism and other technologies. The dot matrix pen and the electromagnetic pen respectively realize the acquisition of handwriting data through technologies such as code recognition, electromagnetic induction and the like.
Chinese patent application publication no: the patent of CN110515474a discloses an intelligent stylus pen, which includes: a writing section for generating a writing note under the control of a writing action; the note collection device is used for collecting the written notes to obtain corresponding electronic notes; and the communication chip is used for uploading the electronic note to a server so that the server can store the electronic note.
In the prior art, writing notes generated by a user under the control of writing behaviors are collected and stored, but the writing notes of the writing behaviors of the user are only stored, so that the processing efficiency is low during the characteristic analysis of the writing behaviors.
Disclosure of Invention
Therefore, the invention provides an intelligent pen writing behavior characteristic analysis method and device, which can solve the problem of low processing efficiency of intelligent pen writing behavior characteristic analysis.
In order to achieve the above object, the present invention provides an intelligent pen writing behavior feature analysis method, including:
collecting pressure data of a pressure sensing device in the intelligent pen, and collecting writing notes of the intelligent pen;
judging whether the two pressure acquisition time intervals meet a time interval condition or not according to the pressure acquisition time intervals, marking the previous pressure acquisition time in the two pressure acquisition time intervals meeting a first preset time interval condition, and slicing the pressure data corresponding to the marked pressure acquisition time to form a plurality of pressure slice data;
performing writing behavior characteristic analysis on a plurality of pressure slice data according to the pressure values in the pressure slice data, comparing the pressure values in the pressure slice data with a preset pressure value, marking the pressure values according to the comparison result, counting the number of marks to confirm the important grade of the writing note data corresponding to the marked pressure value, and forming the writing behavior characteristic corresponding to the writing note by the pressure values and the important grade;
marking the corresponding writing notes in a corresponding form according to the importance levels corresponding to the pressure values in the writing behavior characteristics;
counting feedback data of a user for writing notes on the marks within a preset period time, and correcting the preset pressure value according to the number of error marks in the feedback data.
Further, when the pressure data is sliced, whether two pressure acquisition time intervals in the pressure data accord with a time interval condition or not is judged according to the pressure acquisition time interval, wherein,
if the two pressure acquisition time intervals are judged to accord with a first preset time interval condition, determining to slice the pressure data, and marking the previous pressure acquisition time;
if the two pressure acquisition time intervals are judged to accord with a second preset time interval condition, the pressure data are not sliced;
the first preset time interval condition is that two pressure acquisition time intervals are greater than or equal to a preset pressure acquisition time interval, and the second preset time interval condition is that two pressure acquisition time intervals are smaller than the preset pressure acquisition time interval.
Further, when the pressure data is sliced to form the pressure slice data, slicing a corresponding pressure value sequence in the pressure data according to the marked pressure acquisition time to form a plurality of pressure value sequence sections, and associating each pressure value sequence section with the corresponding pressure acquisition time to form a pressure slice, wherein the pressure slice data comprises a plurality of pressure slices.
Further, when the writing behavior characteristic analysis is carried out on the data of the plurality of pressure slices, the pressure value sequence section in the pressure slice is compared with a preset pressure value, wherein,
if any pressure value in the pressure value sequence section meets a first preset pressure value condition, carrying out character marking on the pressure value meeting the first preset pressure value condition;
if any pressure value in the pressure value sequence section meets a second preset pressure value condition, digitally marking the pressure value meeting the first preset pressure value condition;
if any pressure value in the pressure value sequence section meets a third preset pressure value condition, not marking the pressure value meeting the first preset pressure value condition;
the first preset pressure value is larger than a second preset pressure value, the second preset pressure value is larger than or equal to the first preset pressure value and smaller than or equal to the second preset pressure value, the third preset pressure value is smaller than a third preset pressure value, and the first preset pressure value is smaller than the second preset pressure value.
Further, when the pressure values meeting the preset pressure value condition are marked, counting the number of marks to confirm the important grade of the written note data corresponding to the pressure value sequence section, when any pressure value in the pressure value sequence section meets the first preset pressure value condition, counting the number of character marks in the pressure value sequence section, when any pressure value in the pressure value sequence section meets the second preset pressure value condition, counting the number of character marks in the pressure value sequence section, and judging the grade of the number of character marks and the number of the character marks according to the number of the preset marks to determine the important grade of the written note data corresponding to the pressure value sequence section, wherein,
if the number of the character marks accords with a first preset character mark condition, judging that the level of the number of the character marks, namely the important level of the written note data corresponding to the pressure value sequence section, is one level;
if the number of the character marks accords with a second preset character mark condition, judging that the level of the number of the character marks, namely the important level of the written note data corresponding to the pressure value sequence segment, is a second level;
if the number of the digital marks meets a first preset digital mark condition, judging that the level of the number of the digital marks, namely the important level of the written note data corresponding to the pressure value sequence section, is three levels;
if the number of the digital marks accords with a second preset digital mark condition, judging that the level of the number of the digital marks, namely the important level of the written note data corresponding to the pressure value sequence section, is four levels;
the first preset character marking condition is that the number of the character marks is more than or equal to the number of preset marks, the second preset character marking condition is that the number of the character marks is less than the number of the preset marks, the first preset digital marking condition is that the number of the digital marks is more than or equal to the number of the preset marks, and the second preset digital marking condition is that the number of the digital marks is less than the number of the preset marks.
Further, corresponding form marking is carried out on the writing notes corresponding to the writing behavior characteristics, the writing notes corresponding to the pressure value sequence section and the important grade matching pressure value sequence section in the writing behavior characteristics are matched, the corresponding writing notes are matched according to the pressure acquisition time corresponding to the pressure value sequence section, the matched writing notes are marked according to the important grade corresponding to the pressure value sequence section, and different marking forms correspond to different important grades.
Further, if the two pressure acquisition time intervals are greater than two times of the preset pressure acquisition time interval, it is judged that the writing of the intelligent pen is finished, an ending instruction is formed, and the pressure data and the written note data are collected according to the ending instruction.
Further, the invention provides an intelligent pen writing behavior feature analysis method, which further comprises the following steps:
and forming an abnormal instruction when any pressure value in the pressure value sequence section is judged to be not in accordance with the preset pressure value condition.
Further, the first preset pressure value and the second preset pressure value are corrected according to the number of error marks in the feedback data, two correction modes for correcting the first preset pressure value and the second preset pressure value are determined according to the number of error marks in the preset period time, wherein,
the first correction mode is that the number of the error marks is reduced by a first preset correction coefficient under the condition of a first preset error mark, and the preset pressure value and the second preset pressure value are reduced;
the second correction mode is that the number of the error marks does not correct the first preset pressure value and the second preset pressure value under the condition of a second preset error mark;
the first preset error marking condition is that the number of the error marks is larger than a preset number of the error marks, and the second preset error marking condition is that the number of the error marks is smaller than or equal to the preset number of the error marks.
The invention also provides an intelligent pen writing behavior characteristic analysis device, which comprises:
the acquisition module is used for acquiring pressure data of the pressure sensing device in the intelligent pen and acquiring writing notes of the intelligent pen;
the cutting module is connected with the acquisition module and used for judging whether the two pressure acquisition time intervals meet the time interval condition or not according to the pressure acquisition time intervals, marking the previous pressure acquisition time in the two pressure acquisition time intervals meeting the first preset time interval condition, and cutting the pressure data corresponding to the marked pressure acquisition time to form a plurality of pressure slice data;
the analysis module is connected with the cutting module and used for performing writing behavior characteristic analysis on a plurality of pressure slice data according to pressure values in the pressure slice data, comparing the pressure values in the pressure slice data with a preset pressure value, marking the pressure values according to a comparison result, counting the number of marks to confirm the important grade of writing note data corresponding to the marked pressure value, and forming the pressure values and the important grade into writing behavior characteristics corresponding to the writing notes;
the marking module is connected with the analysis module and used for marking the corresponding written notes in a corresponding mode according to the importance levels corresponding to the pressure values in the writing behavior characteristics;
and the correction module is connected with the marking module and used for counting feedback data of a user for writing notes on the mark in a preset period time and correcting the preset pressure value according to the number of the error marks in the feedback data.
Compared with the prior art, the method has the advantages that time interval conditions are judged according to the pressure acquisition time interval, the pressure data are sliced to form a plurality of pressure slice data, the pressure data are sliced, the continuous pressure data are sliced into one section to be accurately analyzed, writing behavior characteristic analysis is carried out on the pressure slice data according to the pressure values in the pressure slice data, the pressure values in the pressure slice data are compared with the preset pressure values, the pressure values are marked according to the comparison result, the number of marks is counted to confirm the important grades of the writing note data corresponding to the marked pressure values, the pressure values and the important grades form writing behavior characteristics corresponding to the writing notes, the important degrees of the corresponding notes are determined according to the pressure values, the larger the pressure value is more important, the corresponding writing notes are marked in a corresponding mode according to the important grades corresponding to the pressure values in the writing behavior characteristics, automatic note marking is realized, the important degrees of the notes are obtained through analysis on the pressure values, the automatic note marking is realized, the preset notes are corrected according to the feedback data, the writing behavior characteristic analysis is more intelligent, and the writing behavior processing efficiency of the intelligent writing behavior is improved.
Particularly, the pressure data is segmented by judging the time interval condition according to the pressure acquisition time interval and determining whether to slice the pressure data, so that the continuous pressure data is segmented into one segment to be accurately analyzed.
In particular, the pressure data is sliced to form a plurality of pressure slice data, so that the pressure data is segmented, and continuous pressure data is segmented into one segment to be accurately analyzed.
Especially, writing behavior characteristic analysis is carried out on a plurality of pressure slice data according to pressure values in the pressure slice data, the pressure values in the pressure slice data are compared with preset pressure values, different forms of marking are carried out on the pressure values according to comparison results, the importance degree of corresponding notes is further determined, the greater the pressure value is, the more important the pressure value is, finally corresponding form marking is carried out on the corresponding writing notes according to the importance levels corresponding to the pressure values in the writing behavior characteristic, automatic note marking is achieved, the importance degree of the notes is obtained through analysis of the pressure values, automatic note marking is achieved, and processing effect and efficiency of intelligent pen writing behavior characteristic analysis are improved.
Particularly, the important grade of the writing note data corresponding to the marked pressure value is confirmed by counting the number of marks, the pressure value and the important grade form writing behavior characteristics corresponding to the writing notes, the important degree of the corresponding notes is determined according to the pressure value, the more important the pressure value is, and finally the corresponding writing notes are marked in a corresponding mode according to the important grade corresponding to the pressure value in the writing behavior characteristics, so that the notes are automatically marked, the important degree of the notes is obtained by analyzing the pressure value, the notes are automatically marked, and the processing effect and the efficiency of intelligent pen writing behavior characteristic analysis are improved.
Particularly, two correction modes of correcting the first preset pressure value and the second preset pressure value are determined according to the number of error marks in the preset period time, and the first preset pressure value and the second preset pressure value are continuously corrected through feedback data, so that the intelligent pen writing behavior characteristic analysis is more accurate, and the processing effect and efficiency of the intelligent pen writing behavior characteristic analysis are improved.
Drawings
Fig. 1 is a schematic flow chart of a method for analyzing writing behavior characteristics of an intelligent pen according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a method for analyzing writing behavior characteristics of an intelligent pen according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an intelligent pen writing behavior feature analysis device according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an analysis module in the intelligent pen writing behavior feature analysis device according to the embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described in conjunction with the following examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principles of the present invention, and do not limit the scope of the present invention.
It should be noted that in the description of the present invention, the terms of direction or positional relationship indicated by the terms "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, which are only for convenience of description, and do not indicate or imply that the device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Referring to fig. 1, a method for analyzing writing behavior characteristics of an intelligent pen according to an embodiment of the present invention includes:
step S110, collecting pressure data of a pressure sensing device in the intelligent pen, and collecting writing notes of the intelligent pen;
step S120, judging whether the two pressure acquisition time intervals accord with a time interval condition or not according to the pressure acquisition time intervals, marking the previous pressure acquisition time in the two pressure acquisition time intervals which accord with a first preset time interval condition, and slicing the pressure data corresponding to the marked pressure acquisition time to form a plurality of pressure slice data;
step S130, performing writing behavior characteristic analysis on a plurality of pressure slice data according to pressure values in the pressure slice data, comparing the pressure values in the pressure slice data with a preset pressure value, marking the pressure values according to a comparison result, counting the number of marks to confirm an important grade of writing note data corresponding to the marked pressure value, and forming writing behavior characteristics corresponding to writing notes by the pressure values and the important grade;
step S140, marking corresponding forms of corresponding writing notes according to the importance levels corresponding to the pressure values in the writing behavior characteristics;
step S150, counting feedback data of the user for writing the marks in the preset period time, and correcting the preset pressure value according to the number of the error marks in the feedback data.
Specifically, the written note data is acquired by a camera device on the smart pen and recognized according to an object, and may be characters, graphics, or the like.
Specifically, the embodiment of the invention judges a time interval condition according to a pressure acquisition time interval, slices the pressure data to form a plurality of pressure slice data, realizes the segmentation of the pressure data, segments continuous pressure data into a section, accurately analyzes the section, performs writing behavior characteristic analysis on the pressure slice data according to the pressure values in the pressure slice data, compares the pressure values in the pressure slice data with a preset pressure value, marks the pressure values according to the comparison result, counts the number of marks to confirm the important grades of the writing note data corresponding to the marked pressure values, forms writing behavior characteristics corresponding to the writing notes according to the pressure values, determines the important degrees of the corresponding notes according to the pressure values, the larger the pressure value is, the more important the pressure value is, performs corresponding form marking on the corresponding writing notes according to the important grades corresponding to the pressure values in the writing behavior characteristics, realizes the automatic marking of the notes, obtains the important degrees of the notes through the analysis on the pressure values to realize the automatic marking of the notes, continuously corrects the first preset notes and the second preset writing behavior characteristics through feedback data, and improves the intelligent writing behavior characteristic analysis efficiency and the writing behavior analysis efficiency.
Specifically, when the pressure data is sliced, whether two pressure acquisition time intervals in the pressure data meet a time interval condition is judged according to the pressure acquisition time interval, wherein,
if the two pressure acquisition time intervals are judged to accord with a first preset time interval condition, determining to slice the pressure data, and marking the previous pressure acquisition time;
if the two pressure acquisition time intervals are judged to accord with a second preset time interval condition, the pressure data are not sliced;
the first preset time interval condition is that two pressure acquisition time intervals are greater than or equal to a preset pressure acquisition time interval, and the second preset time interval condition is that two pressure acquisition time intervals are smaller than the preset pressure acquisition time interval.
In particular, the two pressure acquisition time intervals are the time intervals between two consecutive pressure values.
Specifically, the embodiment of the invention judges the time interval condition according to the pressure acquisition time interval and determines whether to slice the pressure data, so as to realize the segmentation of the pressure data, and segment the continuous pressure data into a segment for accurate analysis.
Specifically, when the pressure data is sliced to form the pressure slice data, the corresponding pressure value sequence in the pressure data is sliced according to the marked pressure acquisition time to form a plurality of pressure value sequence segments, each pressure value sequence segment is associated with the corresponding pressure acquisition time to form a pressure slice, and the pressure slice data comprises a plurality of pressure slices.
Specifically, the pressure data includes pressure values corresponding to pressure acquisition time and acquisition time, and a plurality of pressure values form a pressure value sequence.
Specifically, the embodiment of the invention realizes the segmentation of the pressure data by slicing the pressure data to form a plurality of pressure slice data, so that the continuous pressure data is segmented into a segment to be accurately analyzed.
Specifically, when writing behavior characteristic analysis is performed on a plurality of pressure slice data, a pressure value sequence segment in the pressure slice is compared with a preset pressure value, wherein,
if any pressure value in the pressure value sequence section meets a first preset pressure value condition, carrying out character marking on the pressure value meeting the first preset pressure value condition;
if any pressure value in the pressure value sequence section meets a second preset pressure value condition, digitally marking the pressure value meeting the first preset pressure value condition;
if any pressure value in the pressure value sequence section meets a third preset pressure value condition, not marking the pressure value meeting the first preset pressure value condition;
the first preset pressure value is larger than a second preset pressure value, the second preset pressure value is larger than or equal to the first preset pressure value and smaller than or equal to the second preset pressure value, the third preset pressure value is smaller than a third preset pressure value, and the first preset pressure value is smaller than the second preset pressure value.
Specifically, the text marks and the digital marks are only in a marking mode and can be set by self, and the marking modes meeting the first preset pressure value condition and the second preset pressure value condition are different.
Specifically, according to the embodiment of the invention, writing behavior characteristic analysis is carried out on a plurality of pressure slice data according to the pressure values in the pressure slice data, the pressure values in the pressure slice data are compared with the preset pressure values, different forms of marking are carried out on the pressure values according to the comparison result, so that the importance degree of the corresponding note is determined, the greater the pressure value is, the more important the corresponding note is, finally, the corresponding writing note is marked in a corresponding form according to the importance level corresponding to the pressure value in the writing behavior characteristic, automatic note marking is realized, the importance degree of the note is obtained through analysis of the pressure values, automatic note marking is realized, and the processing effect and efficiency of the intelligent pen writing behavior characteristic analysis are improved.
Specifically, when a pressure value meeting a preset pressure value condition is marked, counting the number of marks to confirm the important grade of the writing note data corresponding to the pressure value sequence section, when any pressure value in the pressure value sequence section meets a first preset pressure value condition, counting the number of character marks in the pressure value sequence section, when any pressure value in the pressure value sequence section meets a second preset pressure value condition, counting the number of character marks in the pressure value sequence section, and judging the grade of the number of character marks and the number of character marks according to the number of preset marks to confirm the important grade of the writing note data corresponding to the pressure value sequence section, wherein,
if the number of the character marks accords with a first preset character mark condition, judging that the grade of the number of the character marks, namely the important grade of the writing note data corresponding to the pressure value sequence section, is a first grade;
if the number of the character marks accords with a second preset character mark condition, judging that the level of the number of the character marks, namely the important level of the written note data corresponding to the pressure value sequence segment, is a second level;
if the number of the digital marks meets a first preset digital mark condition, judging that the level of the number of the digital marks, namely the important level of the written note data corresponding to the pressure value sequence section, is three levels;
if the number of the digital marks accords with a second preset digital mark condition, judging that the level of the number of the digital marks, namely the important level of the writing note data corresponding to the pressure value sequence section, is four levels;
the first preset word marking condition is that the number of the word marks is more than or equal to the preset mark number, the second preset word marking condition is that the number of the word marks is less than the preset mark number, the first preset digital mark condition is that the number of the digital marks is more than or equal to the preset mark number, and the second preset digital mark condition is that the number of the digital marks is less than the preset mark number.
Specifically, according to the embodiment of the invention, the number of marks is counted to confirm the important level of the writing note data corresponding to the marked pressure value, the pressure value and the important level form the writing behavior characteristic corresponding to the writing note, the important degree of the corresponding writing is determined according to the pressure value, the greater the pressure value is, the more important the writing behavior characteristic is, finally, the corresponding writing note is marked in a corresponding form according to the important level corresponding to the pressure value in the writing behavior characteristic, the note is automatically marked, the important degree of the writing is obtained through the analysis of the pressure value, the note is automatically marked, and the processing effect and the efficiency of the intelligent pen writing behavior characteristic analysis are improved.
Specifically, the corresponding writing notes are marked in a corresponding mode according to the writing behavior characteristics, the writing notes corresponding to the pressure value sequence section and the important grade matching pressure value sequence section in the writing behavior characteristics are matched according to the pressure value sequence section and the important grade matching pressure value sequence section in the writing behavior characteristics, the corresponding writing notes are matched according to the pressure acquisition time corresponding to the pressure value sequence section, the matched writing notes are marked according to the important grade corresponding to the pressure value sequence section, and different important grades correspond to different marking modes.
Specifically, if the two pressure acquisition time intervals are greater than two times of the preset pressure acquisition time interval, it is determined that the writing of the smart pen is finished, an end instruction is formed, and the pressure data and the written note data are acquired according to the end instruction.
Referring to fig. 2, the method for analyzing writing behavior characteristics of an intelligent pen according to an embodiment of the present invention further includes:
and step S160, forming an abnormal instruction when any pressure value in the pressure value sequence section is judged to be not in accordance with the preset pressure value condition.
Specifically, the abnormal instruction is used for prompting that the smart pen has a fault.
Specifically, the first preset pressure value and the second preset pressure value are corrected according to the number of error marks in the feedback data, and two correction modes for correcting the first preset pressure value and the second preset pressure value are determined according to the number of error marks in the preset period time, wherein,
the first correction mode is that the number of the error marks is reduced by a first preset correction coefficient under the condition of a first preset error mark, and the preset pressure value and the second preset pressure value are reduced;
the second correction mode is that the number of the error marks does not correct the first preset pressure value and the second preset pressure value under the condition of a second preset error mark;
the first preset error flag condition is that the number of the error flags is greater than a preset number of the error flags, and the second preset error flag condition is that the number of the error flags is less than or equal to the preset number of the error flags.
Specifically, according to the embodiment of the invention, two correction modes for correcting the first preset pressure value and the second preset pressure value are determined according to the number of error marks in the preset period time, and the first preset pressure value and the second preset pressure value are continuously corrected through feedback data, so that the intelligent pen writing behavior characteristic analysis is more accurate, and the processing effect and efficiency of the intelligent pen writing behavior characteristic analysis are improved.
Referring to fig. 3, an intelligent pen writing behavior feature analysis device according to an embodiment of the present invention includes:
the acquisition module 210 is used for acquiring pressure data of a pressure sensing device in the intelligent pen and acquiring writing notes of the intelligent pen;
a slicing module 220, connected to the collecting module, for determining a time interval condition according to a pressure collecting time interval and slicing the pressure data to form a plurality of pressure slice data;
the analysis module 230 is connected with the segmentation module and is used for performing writing behavior feature analysis on a plurality of pressure slice data according to pressure values in the pressure slice data, comparing the pressure values in the pressure slice data with a preset pressure value, marking the pressure values according to a comparison result, counting the number of marks to confirm an important grade of writing note data corresponding to the marked pressure value, and forming the pressure values and the important grade into writing behavior features corresponding to writing notes;
the marking module 240 is connected with the analysis module and is used for marking the corresponding written notes in a corresponding mode according to the importance levels corresponding to the pressure values in the writing behavior characteristics;
and the correcting module 250 is connected with the marking module and is used for counting feedback data of the user for writing the note on the mark in a preset period time and correcting the preset pressure value according to the number of the error marks in the feedback data.
Specifically, the embodiment of the invention judges a time interval condition according to a pressure acquisition time interval through a segmentation module, and slices the pressure data to form a plurality of pressure slice data, so as to realize segmentation of the pressure data, segment continuous pressure data into a section, and accurately analyze the section, an analysis module performs writing behavior characteristic analysis on the plurality of pressure slice data according to pressure values in the pressure slice data, compares pressure values in the pressure slice data with preset pressure values, marks the pressure values according to comparison results, counts the number of marks to confirm important grades of writing note data corresponding to the marked pressure values, forms the pressure values and the important grades into writing behavior characteristics of corresponding writing notes, determines the important degrees of the corresponding notes according to the pressure values, the larger the pressure values represent the more important notes, and finally marks the corresponding writing notes in a corresponding form according to the important grades corresponding to the pressure values in the writing behavior characteristics, so as to realize automatic note marking, and improve intelligent processing effect and efficiency of pen writing behavior characteristic analysis.
As shown in fig. 4, the analysis module includes a comparison unit 251 for comparing the pressure values in the pressure slice data with the preset pressure values, a marking unit 252 for marking the pressure values according to the comparison result, a counting unit 253 for counting the number of the marks, a confirmation unit 254 for confirming the importance levels of the written note data corresponding to the marked pressure values, and a forming unit 255 for forming the writing behavior characteristics of the written note corresponding to the pressure values and the importance levels.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can be within the protection scope of the invention.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention; various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for analyzing writing behavior characteristics of an intelligent pen is characterized by comprising the following steps:
collecting pressure data of a pressure sensing device in the intelligent pen, and collecting writing notes of the intelligent pen;
judging whether the two pressure acquisition time intervals meet a time interval condition or not according to the pressure acquisition time intervals, marking the previous pressure acquisition time in the two pressure acquisition time intervals meeting a first preset time interval condition, and slicing the pressure data corresponding to the marked pressure acquisition time to form a plurality of pressure slice data;
performing writing behavior characteristic analysis on a plurality of pressure slice data according to the pressure values in the pressure slice data, comparing the pressure values in the pressure slice data with a preset pressure value, marking the pressure values according to the comparison result, counting the number of marks to confirm the important grade of the writing note data corresponding to the marked pressure value, and forming the writing behavior characteristic corresponding to the writing note by the pressure values and the important grade;
marking the corresponding writing notes in a corresponding form according to the importance levels corresponding to the pressure values in the writing behavior characteristics;
counting feedback data of a user for marking writing notes in a preset period time, and correcting a preset pressure value according to the number of error marks in the feedback data.
2. The intelligent pen writing behavior feature analysis method according to claim 1, wherein when slicing the pressure data, it is determined whether two pressure acquisition time intervals in the pressure data meet a time interval condition according to the pressure acquisition time intervals, wherein,
if the two pressure acquisition time intervals are judged to accord with a first preset time interval condition, determining to slice the pressure data, and marking the previous pressure acquisition time;
if the two pressure acquisition time intervals are judged to accord with a second preset time interval condition, the pressure data are not sliced;
the first preset time interval condition is that two pressure acquisition time intervals are greater than or equal to a preset pressure acquisition time interval, and the second preset time interval condition is that two pressure acquisition time intervals are smaller than the preset pressure acquisition time interval.
3. The method for analyzing the characteristic of the writing behavior of the smart pen according to claim 2, wherein when the pressure data is sliced to form the pressure slice data, the corresponding pressure value sequence in the pressure data is sliced according to the marked pressure acquisition time to form a plurality of pressure value sequence segments, each pressure value sequence segment is associated with the corresponding pressure acquisition time to form a pressure slice, and the pressure slice data comprises a plurality of pressure slices.
4. The method for analyzing writing behavior characteristics of a smart pen according to claim 3, wherein when the writing behavior characteristics of a plurality of pressure slice data are analyzed, the pressure value sequence segments in the pressure slices are compared with preset pressure values,
if any pressure value in the pressure value sequence section meets a first preset pressure value condition, carrying out character marking on the pressure value meeting the first preset pressure value condition;
if any pressure value in the pressure value sequence section accords with a second preset pressure value condition, carrying out digital marking on the pressure value which accords with the first preset pressure value condition;
if any pressure value in the pressure value sequence section meets a third preset pressure value condition, not marking the pressure value meeting the first preset pressure value condition;
the first preset pressure value is larger than a second preset pressure value, the second preset pressure value is larger than or equal to the first preset pressure value and smaller than or equal to the second preset pressure value, the third preset pressure value is smaller than a third preset pressure value, and the first preset pressure value is smaller than the second preset pressure value.
5. The method for analyzing the writing behavior characteristics of the smart pen according to claim 4, wherein when the pressure values meeting the predetermined pressure value condition are marked, the number of the marks is counted to determine the important level of the writing data corresponding to the pressure value sequence segment, when any pressure value in the pressure value sequence segment meets the first predetermined pressure value condition, the number of the character marks in the pressure value sequence segment is counted, when any pressure value in the pressure value sequence segment meets the second predetermined pressure value condition, the number of the character marks in the pressure value sequence segment is counted, and the level of the number of the character marks are determined according to the number of the predetermined marks to determine the important level of the writing data corresponding to the pressure value sequence segment, wherein,
if the number of the character marks accords with a first preset character mark condition, judging that the level of the number of the character marks, namely the important level of the written note data corresponding to the pressure value sequence section, is one level;
if the number of the character marks accords with a second preset character mark condition, judging that the level of the number of the character marks, namely the important level of the written note data corresponding to the pressure value sequence segment, is a second level;
if the number of the digital marks accords with a first preset digital mark condition, judging that the level of the number of the digital marks, namely the important level of the writing note data corresponding to the pressure value sequence section, is three levels;
if the number of the digital marks accords with a second preset digital mark condition, judging that the level of the number of the digital marks, namely the important level of the written note data corresponding to the pressure value sequence section, is four levels;
the first preset character marking condition is that the number of the character marks is more than or equal to the number of preset marks, the second preset character marking condition is that the number of the character marks is less than the number of the preset marks, the first preset digital marking condition is that the number of the digital marks is more than or equal to the number of the preset marks, and the second preset digital marking condition is that the number of the digital marks is less than the number of the preset marks.
6. The method for analyzing the writing behavior characteristics of the smart pen according to claim 5, wherein corresponding forms of the corresponding writing notes are marked according to the writing behavior characteristics, the writing notes corresponding to the pressure value sequence section and the important grade matching pressure value sequence section are matched according to the writing behavior characteristics, the corresponding writing notes are matched according to the pressure acquisition time corresponding to the pressure value sequence section, the matched writing notes are marked according to the important grade corresponding to the pressure value sequence section, and different important grades correspond to different marking forms.
7. The method for analyzing the writing behavior characteristics of the smart pen according to claim 6, wherein if the time interval between two pressure acquisition is greater than twice the preset pressure acquisition time interval, it is determined that the writing of the smart pen is finished, an end instruction is formed, and the acquisition of the pressure data and the writing note data is finished according to the end instruction.
8. The intelligent pen writing behavior feature analysis method according to claim 7, further comprising:
and forming an abnormal instruction when any pressure value in the pressure value sequence section is judged to be not in accordance with the preset pressure value condition.
9. The intelligent pen writing behavior feature analysis method according to claim 8, wherein the first preset pressure value and the second preset pressure value are corrected according to the number of error marks in the feedback data, and two correction manners for correcting the first preset pressure value and the second preset pressure value are determined according to the number of error marks in the preset cycle time, wherein,
the first correction mode is that the number of the error marks is reduced by a first preset correction coefficient under the condition of a first preset error mark, and the preset pressure value and the second preset pressure value are reduced;
the second correction mode is that the number of the error marks does not correct the first preset pressure value and the second preset pressure value under the condition of a second preset error mark;
the first preset error marking condition is that the number of the error marks is larger than a preset number of the error marks, and the second preset error marking condition is that the number of the error marks is smaller than or equal to the preset number of the error marks.
10. An intelligent pen writing behavior feature analysis device applying the intelligent pen writing behavior feature analysis method according to any one of claims 1 to 9, comprising:
the acquisition module is used for acquiring pressure data of the pressure sensing device in the intelligent pen and acquiring writing notes of the intelligent pen;
the cutting module is connected with the acquisition module and used for judging whether the two pressure acquisition time intervals meet the time interval condition or not according to the pressure acquisition time intervals, marking the previous pressure acquisition time in the two pressure acquisition time intervals meeting the first preset time interval condition, and cutting the pressure data corresponding to the marked pressure acquisition time to form a plurality of pressure slice data;
the analysis module is connected with the cutting module and used for performing writing behavior characteristic analysis on a plurality of pressure slice data according to pressure values in the pressure slice data, comparing the pressure values in the pressure slice data with a preset pressure value, marking the pressure values according to a comparison result, counting the number of marks to confirm the important grade of writing note data corresponding to the marked pressure value, and forming the pressure values and the important grade into writing behavior characteristics corresponding to the writing notes;
the marking module is connected with the analysis module and used for marking the corresponding written notes in a corresponding mode according to the importance levels corresponding to the pressure values in the writing behavior characteristics;
and the correction module is connected with the marking module and used for counting feedback data of a user for writing notes on the mark in a preset period time and correcting the preset pressure value according to the number of the error marks in the feedback data.
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