CN107714056A - A kind of wearable device of intellectual analysis mood and the method for intellectual analysis mood - Google Patents

A kind of wearable device of intellectual analysis mood and the method for intellectual analysis mood Download PDF

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Publication number
CN107714056A
CN107714056A CN201710794390.8A CN201710794390A CN107714056A CN 107714056 A CN107714056 A CN 107714056A CN 201710794390 A CN201710794390 A CN 201710794390A CN 107714056 A CN107714056 A CN 107714056A
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China
Prior art keywords
user
heart rate
information
mood
state
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CN201710794390.8A
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Chinese (zh)
Inventor
陈文韬
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Taizhou Jiji Intellectual Property Operation Co.,Ltd.
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Shanghai Feixun Data Communication Technology Co Ltd
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Priority to CN201710794390.8A priority Critical patent/CN107714056A/en
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/16Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/165Evaluating the state of mind, e.g. depression, anxiety
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802Sensor mounted on worn items
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems

Abstract

The invention discloses a kind of wearable device of intellectual analysis mood and the method for intellectual analysis mood, and to solve the problems, such as that prior art analysis user emotion is inaccurate, the method for this intellectual analysis mood includes step S1:Record user voice messaging data message, analyze the speech data information volume and collection corresponding to heart rate information;S2:Preset algorithm computing is carried out according to the user speech information of record, the volume of user speech information and corresponding user's heart rate information, determines the emotional state of user;S3:Show the emotional state of user.User emotion can more accurately be analyzed by the wearable device of intellectual analysis mood and the method for intellectual analysis mood of the present invention, and understand the emotional state of user preset time cycle at any time by wearing the equipment, it is fast and effective.

Description

A kind of wearable device of intellectual analysis mood and the method for intellectual analysis mood
Technical field
The present invention relates to wearable device field, more particularly to a kind of wearable device of intellectual analysis mood and intelligence point The method for analysing mood.
Background technology
With smart machine come to analyze human emotion be current study hotspot, many smart machines are all involved in wherein, such as apple Watch records the heart rate volatility of user by heart rate sensor, judges user emotion with this.
But it is simple judge that the mood of user is not accurate enough by changes in heart rate, first, because current sensing heart rate The quasi- accuracy of device is inadequate;Second, only judging that the mood of people is too thin with heart rate data, the conclusion drawn is also not objective enough.
Simple judges that the mood of user is also not accurate enough by the speech volume size of user, first, because user exists It is not the real emotional reactions of heart sometimes when speech, that is, says yes and mean no;Second, user says speech under various circumstances The size of amount is also can be different, therefore the user emotion state drawn is inaccurate.
Such as Publication No. CN106548788A Chinese patent, the inventive embodiments provide a kind of intelligent mood and determined Method and system, obtain the audio-frequency information of personnel to be detected and user's communication;From each audio-frequency information section for forming audio-frequency information, Abnormal emotion audio-frequency information section is determined, wherein, abnormal emotion audio-frequency information section is different for characterizing personnel to be detected to be included The preset audio information of reason thread, when meeting the audio-frequency information section of corresponding preparatory condition, determine to be checked corresponding to audio-frequency information section Abnormal emotion be present in survey personnel.It is more objective, analysis obtain personnel to be detected with the presence or absence of abnormal emotion it is more accurate.
In another example Publication No. CN 104338228A Chinese patent, that application discloses a kind of emotion adjustment method and Terminal.Wherein, emotion adjustment method includes:Terminal obtains the ecg information of user, wherein, the ecg information is terminal from the heart Obtained in electrograph;Analyze the emotional state that the ecg information judges user;If the emotional state is unhealthy emotion, hold Row is corresponding to be acted to improve user emotion.Such scheme, mood effectively can be adjusted and managed, lift health index, reduced Potential safety hazard.
Prior art disclosed above, all it is to carry out judging user by single voice messaging or heart rate information Emotional state, it can not be considered according to user's each side to judge the emotional state of user.
The content of the invention
The invention provides a kind of wearable device of intellectual analysis mood and the method for intellectual analysis mood, to pass through The voice messaging and speech volume information of wearable intelligence record user, movement state information, heart rate information, comprehensive descision user The problem of emotional state.
The present invention is in order to solve the above problems, there is provided following technical scheme:
A kind of method of intellectual analysis mood, including step:
S1:The voice messaging data message of user is recorded, the volume of the speech data information is analyzed and gathers correspondingly Heart rate information;
S2:Believed according to the user speech information of record, the volume of user speech information and corresponding user's heart rate Breath carries out preset algorithm computing, determines the emotional state of user;
S3:Show the emotional state of user.
Further, step S1 includes:
S11:The voice messaging data message of user is recorded, analyzes the volume of the speech data information;
S12:According to the user voice data information time of record, setting collection user corresponds to the time zone of heart rate information Between;
S13:The time interval of heart rate information is corresponded to according to the collection user of setting, gathers the heart rate information of user.
Wherein, the heart rate value under the motion state and the user motion state of user is recorded, and establishes predetermined movement shape State and corresponding heart rate value database.
Further, the preset algorithm includes step:
The user speech information data information of record, and the heart rate information of collection corresponding time cycle, should by choosing Highest heart rate value in time cycle judge the emotional state of user;
The heart rate value under the motion state and the user motion state of user is recorded, under the analysis user motion state Whether heart rate value carries out judging user emotion state in the range of the first default heart rate value;
The heart rate information of user is analyzed, the heart rate value of user is judged whether in the second preset range, if the heart rate of user Value then analyzes user's volume under the Heart Rate States, according to the user under the Heart Rate States not in the second preset range Whether volume in default volume range judge the emotional state of user.
Further, step S3 includes:
S31:According to preset time period, the emotional state of counting user;
S32:The user emotion state of statistics is classified according to default;
S33:Show the user emotion state of classification.
Closer, setting analysis user emotion state timeframe, if not in analysis user emotion state for time model In enclosing, interrupt analysis user emotion state flow, restPose.
A kind of wearable device of intellectual analysis user emotion, including:
Voice receiver, for recording the voice messaging data of user;
Volume analyzer, the volume of the user speech information for analyzing record;
Heart rate sensor, for gathering the heart rate information data of user;
Computing module, for the user speech information according to record, the volume of user speech information and corresponding User's heart rate information carries out preset algorithm computing, determines the emotional state of user.
Further, including:Mechanism module, for analyzing the heart rate value scope under user preset motion state.
Setting time module, for setting preset time, it is determined that corresponding collection heart during record user speech information data The time interval of rate information.
Closer, including:
Setting time cycle module, for setting preset time period, determine the time cycle of counting user emotional state;
Statistical module, for counting the emotional state of the user in preset time period;
Sort module, for being analyzed by calculating, the user emotion state of statistics is divided into first kind mood, the second class feelings Thread and the 3rd class mood.
The beneficial effects of the invention are as follows:By recording corresponding to the speech data information, heart rate information and user of user Movement state information comprehensive descision user emotion state so that the user emotion state of acquisition is more accurate, and this method is fast It is fast effectively, it is only necessary to user, which wears the wearable device, can record emotional state in the user preset time cycle
Brief description of the drawings
Fig. 1 is the method flow diagram one for the intellectual analysis mood that the embodiment of the present invention one provides;
Fig. 2 is the method flow diagram two for the intellectual analysis mood that the embodiment of the present invention two provides;
Fig. 3 is the wearable device structured flowchart one for the intellectual analysis mood that the embodiment of the present invention three provides;
Fig. 4 is the wearable device structured flowchart two for the intellectual analysis mood that the embodiment of the present invention four provides;
Embodiment
It is the specific embodiment of the present invention and with reference to accompanying drawing below, technical scheme is further described, But the present invention is not limited to these embodiments.
Embodiment one
A kind of method of intellectual analysis mood is present embodiments provided, as shown in figure 1, including step:
S1:The voice messaging data message of user is recorded, the volume of the speech data information is analyzed and gathers correspondingly Heart rate information;
S2:Believed according to the user speech information of record, the volume of user speech information and corresponding user's heart rate Breath carries out preset algorithm computing, determines the emotional state of user;
S3:Show the emotional state of user.
The anxious state of mind of people can be reacted in the information such as voice, intonation, speech volume, word speed, can be also embodied in heart rate, When being discontented with such as indignation, more fierce voice is had, word speed also can be very fast, and speech volume also can be larger, is also had in terms of heart rate Unusual fluctuations.
The expression classification of people has many point-scores, and common five kinds can be classified as in terms of voice by reacting, and they are:It is high It is emerging, sad, fear, indignation and insensibility.
Current speech recognition algorithm, comprising identification tone, the mood probability of people can be accurately positioned out 70% or so.Its In 30% error rate.Because inaccuracy when the fluctuation of the mood of a general people only has an evaluation criterion.In general is done Method is exactly to be calibrated again by heart rate.Because people, when expressing mood, palmic rate also can be different accordingly.
The method for the intellectual analysis user emotion that the present embodiment provides, sets preset algorithm, the preset algorithm includes in advance Calculate analysis user voice data information, and corresponding heart rate information;And judge the heart rate information under the speech data information Whether be in preset state, whether preset state be then according to the heart rate information under the speech data information, carry out to The judgement of the emotional state at family.
After judgement determines the emotional state of user, the emotional state of user is shown, user can be according to display Emotional state, be voluntarily adjusted and rest.
Therefore the method for the intellectual analysis mood that the present embodiment provides, including recording voice message data message and correspondingly Heart rate information, the emotional state of comprehensive descision user so that the emotional state for calculating the user of judgement is more accurate.
Embodiment two
A kind of method of intellectual analysis mood is present embodiments provided, as shown in Fig. 2 increasing compared to the present embodiment of embodiment one Following steps are added:
S11:The voice messaging data message of user is recorded, analyzes the volume of the speech data information;
S12:According to the user voice data information time of record, setting collection user corresponds to the time zone of heart rate information Between;
S13:The time interval of heart rate information is corresponded to according to the collection user of setting, gathers the heart rate information of user.
Heart rate sensor can determine that whether user's heart has fluctuation at present, that is, heart rate sensor can only analyze user It is in usual mood or non-flat reason thread.So evaluate and test its whether accuracy particularly important in fluctuation.
But if the measuring and calculating of heart rate is forbidden, evaluate still inaccurate.
In order to make heart rate measuring and calculating more accurate, following method is present embodiments provided:
When being captured to user voice data information, heart rate sensor can also be simultaneously to user's heart rate data information Collection, it is contemplated that user is reacted in voice and heart rate not necessarily Complete Synchronization in time when expressing mood, therefore the present embodiment Offer scheme is by setting preset time T (such as 10 seconds).
When setting time t record user voice data information when, collection heart rate sensor obtain it is past previous default when Between data, and the end time accordingly also to lag, that is, the time interval of heart rate information for gathering user is [t-T, t+T].This Sample obtains more accurately heart rate value.
Further, choose the heart rate information gathered between [t-T, t] and [t, t+T], carry out the calculating of heart rate information with Analysis, [t-T, the t] and highest heart rate value in user's heart rate information in [t, t+T] section are taken, by highest heart rate value and in advance If heart rate value is compared, so as to be judged to the emotional state of user.
Further, variable T can be regulated and controled according to the voice length of user, such as voice length is longer, then T values can Smaller with value, voice length is shorter, can increase its T value.So as to improve the precision of the heart rate information of collection.
This is as set to preset algorithm, the user speech information data information of record, and the collection corresponding time cycle Heart rate information, by the highest heart rate value chosen in the time cycle judge the emotional state of user;
Wherein, the heart rate value under the motion state and the user motion state of user is recorded, and establishes predetermined movement shape State and corresponding heart rate value database.
In the present embodiment, further, it is contemplated that motion state can also influence the change of heart rate, when judging that user transporting When moving or have before user's heart rate information is gathered the motion for significantly changing heart rate, pass through the motion of foundation and the data of heart rate Storehouse, judge motion or post exercise heart rate span;
The heart rate information under user movement state and the motion state is analyzed, judges the heart rate under user's motion state Whether information exceedes default heart rate span, if exceeding the scope, for non-usual heart rate.Available for evaluating anon-normal reason Thread, such as the mood such as angry anxiety.
This is set to preset algorithm, records the heart rate value under the motion state and the user motion state of user, point Whether the heart rate value under the analysis user motion state carries out judging user emotion state in the range of the first default heart rate value;
Further, many times user's word is not the real emotional reactions of user's heart, i.e., " says yes and mean no ". This is made it necessary to saying that " the saying yes and mean no " of speech data screens.Such case often can be in the volume spoken Embody, present embodiments provide a kind of method that " saying yes and mean no " situation is somebody's turn to do in screening:During heart rate exception, the voice sound of user is obtained Size is measured, if volume matches mood not in normal range value, according to the fluctuation of heart rate.
This is set to preset algorithm, analyzes the heart rate information of user, judges whether the heart rate value of user is default second In the range of, if the heart rate value of user not in the second preset range, analyzes user's volume under the Heart Rate States, according to Whether user's volume under the Heart Rate States in default volume range judge the emotional state of user.
Therefore the technical scheme provided according to above-described embodiment, the speech data information and heart rate information in preset time section All record and collect;
Heart rate is in five kinds of moods:It is glad, sad, fear, the fluctuation range under indignation, insensibility it is inconsistent, therefore according to Permutation and combination, when it is certain mood that foundation speech data information, which draws user, the result that heart rate data analyzes still has five kinds Possibility.
So when the result drawn by speech data information analysis (glad, sadness, is feared, anger for improper mood Anger) when, and when the result that draws of heart rate sensor analysis is insensibility, this mood is determined as "abnormal", i.e., it is usually said Say yes and mean no.
Therefore, we will add a kind of emotional state of "abnormal" outside above-mentioned five kinds of common moods.
When the result that wearable device is drawn by speech data analysis is that improper mood (glad, sadness, is feared, anger Anger) when, and the data judging of heart rate sensor is in a bad mood when fluctuating, and now, this mood is determined as obtained by speech data information The result gone out.
Then a preset time period P is set, the emotional status in user's time cycle can be counted, according to various Mood ratio shared in statistics sum shows the overall emotional state in user's timing statisticses section.
Overall emotional state in user's timing statisticses section is set as three kinds:Actively, it is passive, usual, wherein, happiness is classified as Positive class;Sadness, fear, be angry, being classified as passive class extremely;Insensibility is classified as usually.
As following steps:
S31:According to preset time period, the emotional state of counting user;
S32:The user emotion state of statistics is classified according to default;
S33:Show the user emotion state of classification.
Closer, setting analysis user emotion state timeframe, if not in analysis user emotion state for time model In enclosing, interrupt analysis user emotion state flow, restPose.
The present embodiment, by recording based on user voice data information, gather supplemented by heart rate information, carry out two-dimensionses and comment Sentence, judge that the user emotion state that draws is more accurate.And the present embodiment considers that motion state changes heart rate and " mouth is The heart is non-" state, carry out comprehensive analysis, consider it is comprehensive, be analysis result is more accurate.
Embodiment three
A kind of wearable device of intellectual analysis mood is present embodiments provided, as shown in figure 3, this wearable device bag Include:
Voice receiver, for recording the voice messaging data of user;
Volume analyzer, the volume of the user speech information for analyzing record;
Heart rate sensor, for gathering the heart rate information data of user;
Computing module, for the user speech information according to record, the volume of user speech information and corresponding User's heart rate information carries out preset algorithm computing, determines the emotional state of user.
Voice receiver in the present embodiment, the user speech information data of record, including the intonation of user, word speed and The volume of voice.
Volume analyzer, for the user speech information data according to record, size analysis is carried out to its volume, because with When family speech volume is larger, its mood is likely to be in abnormal i.e. impatient state.Can by user's speech volume size with And the heart rate information under the voice carries out comprehensive descision.
The wearable device for a kind of intellectual analysis mood that the present embodiment provides, by setting voice receiver, volume point Parser, heart rate sensor and computing module, synthetic user voice messaging data, speech volume and heart rate information judge user Emotional state, i.e. user wears the wearable device, can analyze the emotional state of the user, convenient and simple.
Example IV
A kind of wearable device of intellectual analysis mood is present embodiments provided, as shown in figure 4, the wearable device, Include compared to embodiment three:
Mechanism module, for analyzing the heart rate value scope under user preset motion state, for excluding due to motion The extremely caused mood of heart rate afterwards differentiates the problem of inaccurate, can be used for further accurately being commented according to the post exercise heart rate Sentence the effect of mood.
Setting time module, for setting preset time, it is determined that corresponding collection heart during record user speech information data The time interval of rate information, the exact value of heart rate information corresponding to corresponding user voice data information is gathered for improving.
Setting time cycle module, for setting preset time period, determine the time cycle of counting user emotional state; The time cycle can also be able to be 24 hours etc. for 12 hours.
Statistical module, for counting the emotional state of the user in preset time period;
Sort module, for being analyzed by calculating, the user emotion state of statistics is divided into first kind mood, the second class feelings Thread and the 3rd class mood.
Specifically:The integrality of user preset time cycle is set as three kinds:Actively, it is passive, usual, wherein, it is high It is emerging to be classified as positive class;Sadness, fear, be angry, being classified as passive class extremely;Insensibility is classified as usually.
It can set,
When positive sample size ratio is more than 0.5, judge that user is in positive state.
When the sample size ratio of passiveness is more than 0.5, judge that user is in passive states.
When usual sample size ratio is more than 0.5, judge that user is in normal state.
Finally with 24 hours one day for measurement period, the summary of user's state of one day is provided.
The present embodiment on wearable device by setting mechanism module, setting time module, setting time cycle Module, statistical module and sort module, can avoid the motion of some users influences heart rate, and " saying yes and mean no " influences heart rate Problem, add the precision of analysis user emotion state.And the user emotion state of collection is classified, summarize, display On wearable device, user can be adjusted according to the emotional state of display to oneself, reduce erroneous judgement, improve user Usage experience.
Specific embodiment described herein is only to spirit explanation for example of the invention.Technology belonging to the present invention is led The technical staff in domain can be made various modifications or supplement to described specific embodiment or be replaced using similar mode Generation, but without departing from the spiritual of the present invention or surmount scope defined in appended claims.

Claims (10)

  1. A kind of 1. method of intellectual analysis mood, it is characterised in that including step:
    S1:Record user voice messaging data message, analyze the speech data information volume and collection corresponding to the heart Rate information;
    S2:Entered according to the user speech information of record, the volume of user speech information and corresponding user's heart rate information Row preset algorithm computing, determine the emotional state of user;
    S3:Show the emotional state of user.
  2. 2. the method for a kind of intellectual analysis mood according to claim 1, it is characterised in that step S1 includes:
    S11:The voice messaging data message of user is recorded, analyzes the volume of the speech data information;
    S12:According to the user voice data information time of record, setting collection user corresponds to the time interval of heart rate information;
    S13:The time interval of heart rate information is corresponded to according to the collection user of setting, gathers the heart rate information of user.
  3. A kind of 3. method of intellectual analysis mood according to claim 2, it is characterised in that including:
    Record the heart rate value under the motion state and the user motion state of user and establish predetermined movement state and correspondingly Heart rate value database.
  4. 4. the method for a kind of intellectual analysis mood according to claim 3, it is characterised in that the preset algorithm includes step Suddenly:
    The user speech information data information of record, and the heart rate information of collection corresponding time cycle, by choosing the time Highest heart rate value in cycle judge the emotional state of user;
    Record the heart rate value under the motion state and the user motion state of user, the heart rate under the analysis user motion state Whether value carries out judging user emotion state in the range of the first default heart rate value;
    The heart rate information of user is analyzed, the heart rate value of user is judged whether in the second preset range, if the heart rate value of user is not In the second preset range, then user's volume under the Heart Rate States is analyzed, according to user's volume under the Heart Rate States Whether size in default volume range judge the emotional state of user.
  5. 5. the method for a kind of intellectual analysis mood according to claim 4, it is characterised in that step S3 includes:
    S31:According to preset time period, the emotional state of counting user;
    S32:The user emotion state of statistics is classified according to default;
    S33:Show the user emotion state of classification.
  6. A kind of 6. method of intellectual analysis mood according to claim 5, it is characterised in that
    Setting analysis user emotion state timeframe, if not in analysis user emotion state timeframe, interrupt analysis is used Family emotional state flow, restPoses.
  7. A kind of 7. wearable device of intellectual analysis user emotion, it is characterised in that including:
    Voice receiver, for recording the voice messaging data of user;
    Volume analyzer, the volume of the user speech information for analyzing record;
    Heart rate sensor, for gathering the heart rate information data of user;
    Computing module, for user speech information, the volume of user speech information and the corresponding user according to record Heart rate information carries out preset algorithm computing, determines the emotional state of user.
  8. A kind of 8. wearable device of intellectual analysis user emotion according to claim 7, it is characterised in that including:
    Mechanism module, for analyzing the heart rate value scope under user preset motion state.
  9. A kind of 9. wearable device of intellectual analysis user emotion according to claim 8, it is characterised in that including:
    Setting time module, for setting preset time, it is determined that corresponding collection heart rate letter during record user speech information data The time interval of breath.
  10. A kind of 10. wearable device of intellectual analysis user emotion according to claim 9, it is characterised in that including
    Setting time cycle module, for setting preset time period, determine the time cycle of counting user emotional state;
    Statistical module, for counting the emotional state of the user in preset time period;
    Sort module, for by calculate analyze, by the user emotion state of statistics be divided into first kind mood, the second class mood with And the 3rd class mood.
CN201710794390.8A 2017-09-06 2017-09-06 A kind of wearable device of intellectual analysis mood and the method for intellectual analysis mood Withdrawn CN107714056A (en)

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CN111430007A (en) * 2020-03-19 2020-07-17 乐爱健康科技(苏州)有限公司 Information processing method and device
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CN113144374A (en) * 2021-04-09 2021-07-23 上海探寻信息技术有限公司 Method and device for adjusting user state based on intelligent wearable device
CN113827240A (en) * 2021-09-22 2021-12-24 北京百度网讯科技有限公司 Emotion classification method and emotion classification model training method, device and equipment
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