CN105374366A - Method and system for wearable device to identify meaning - Google Patents
Method and system for wearable device to identify meaning Download PDFInfo
- Publication number
- CN105374366A CN105374366A CN201510650043.9A CN201510650043A CN105374366A CN 105374366 A CN105374366 A CN 105374366A CN 201510650043 A CN201510650043 A CN 201510650043A CN 105374366 A CN105374366 A CN 105374366A
- Authority
- CN
- China
- Prior art keywords
- voice
- user
- physiological data
- word
- data parameter
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 51
- 230000008451 emotion Effects 0.000 claims abstract description 78
- 230000036651 mood Effects 0.000 claims description 31
- 238000010181 skin prick test Methods 0.000 claims description 14
- 230000002452 interceptive effect Effects 0.000 claims description 12
- 238000001514 detection method Methods 0.000 claims description 8
- 238000006243 chemical reaction Methods 0.000 claims description 7
- 230000011514 reflex Effects 0.000 claims description 6
- 230000008569 process Effects 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 14
- 230000008859 change Effects 0.000 description 7
- 230000002996 emotional effect Effects 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 208000019901 Anxiety disease Diseases 0.000 description 1
- 206010038743 Restlessness Diseases 0.000 description 1
- 230000036506 anxiety Effects 0.000 description 1
- 230000037007 arousal Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 210000004204 blood vessel Anatomy 0.000 description 1
- 230000008602 contraction Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000028327 secretion Effects 0.000 description 1
- 210000000106 sweat gland Anatomy 0.000 description 1
Classifications
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
- G10L25/63—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for estimating an emotional state
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
- G10L25/66—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for extracting parameters related to health condition
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Multimedia (AREA)
- Human Computer Interaction (AREA)
- Acoustics & Sound (AREA)
- Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Signal Processing (AREA)
- General Health & Medical Sciences (AREA)
- Hospice & Palliative Care (AREA)
- Psychiatry (AREA)
- Child & Adolescent Psychology (AREA)
- Epidemiology (AREA)
- Public Health (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
The invention discloses a method and a system for a wearable device to identify a meaning. The method comprises the steps of: obtaining voices emitted by a user and physiological data parameters when the user emits the voices; identifying characters of the voices, and identifying the emotion of the user according to the physiological data parameters; and identifying the meaning according to the characters and the emotion of the user. In the voice and meaning identification process, the voices emitted by the user are combined with the emotion of user in the voice emitting process, so that the meaning can be accurately identified, and the experience of the user is substantially improved.
Description
The present invention relates to semantics recognition field, particularly relate to a kind of method and system of wearable device identification semanteme.
Background technology
Current wearable device, because the limitation of screen, Voice command will become main interactive mode, but current speech semantics recognition, completely according to the feature of sound, and forward-backward correlation carries out Semantic judgement, speech recognition, speech conversion can only be become word, and then identify semantic, sometimes sound differs and well feeds back the emotional change of people surely, can not change according to user's current emotional, provide suitable feedback, do not make good use of the advantage that intelligent wearing itself can detect physiological status.Same word content, be mingled with mood different, the tone is also different, if only may be not easy to distinguish with voice itself, but just can well embody mood in conjunction with physiological measurement data, so just can, on same text basis, coordinate mood to reach more intelligent identification.
Summary of the invention
The invention provides a kind of method and system of wearable device identification semanteme, the method and system send the word of voice according to user and user emotion can identify semanteme accurately.
For realizing above-mentioned design, the present invention by the following technical solutions:
On the one hand, have employed a kind of method of wearable device identification semanteme, comprising:
The voice that acquisition user sends and physiological data parameter when sending voice;
Identify the word of described voice, identify user emotion according to described physiological data parameter;
Semanteme is identified by described word and described user emotion.
Wherein, the voice that described acquisition user sends and physiological data parameter when sending voice, comprising:
The voice semantics recognition opening wearable device controls mutual, obtains the voice that user sends;
Start the biosensor of wearable device, acquisition user sends physiological data parameter during voice.
Wherein, the word of the described voice of described identification, identifies user emotion according to described physiological data parameter, comprising:
Voice semantics recognition controls the word that interactive identification goes out described voice;
According to the preset relation of physiological data parameter and mood in described biosensor, identify user emotion.
Wherein, described biosensor comprises: heart rate pulse transducer, skin pricktest sensor.
Wherein, described physiological data parameter comprises: palmic rate, skin temperature, skin conductivity level, skin conductivity reaction, galvanic skin reflex, skin potential, dermatopolyneuritis, skin conductance.
Wherein, described user emotion comprises sadness, happiness, surprised, angry.
Wherein, describedly identify semanteme by word and user emotion, comprising:
The user emotion of physiological data parameter identification when pre-set user sends the word of speech recognition and sends voice, forms sound bank;
Mated with sound bank by word and user emotion, identify semanteme.
Wherein, described identify semanteme by described word and described user emotion after, also comprise:
According to semantic and user emotion, carry out information feed back.
Have employed a kind of system of wearable device identification semanteme on the other hand, comprising:
Acquisition module, the voice that acquisition user sends and physiological data parameter when sending voice;
First identification module, identifies the word of described voice, identifies user emotion according to described physiological data parameter;
Second identification module, identifies semanteme by described word and described user emotion.
Wherein, described acquisition module comprises:
First acquisition module, the voice semantics recognition opening wearable device controls mutual, obtains the voice that user sends; And
Detection module, starts the detection biosensor of wearable device, and acquisition user sends physiological data parameter during voice;
Described first identification module comprises:
Text region module, voice semantics recognition controls the word that interactive identification goes out described voice; And
Emotion identification module, according to the preset relation of physiological data parameter and mood in described biosensor, identifies user emotion;
Described second identification module comprises:
Presetting module, the user emotion of physiological data parameter identification when pre-set user sends the word of speech recognition and sends voice, forms sound bank; And
Matching module, is mated with sound bank by word and user emotion, identifies semanteme;
System also comprises:
Feedback module, according to semantic and user emotion, carries out information feed back.
Beneficial effect of the present invention is: physiological data parameter when the present invention is by obtaining the voice that send of user and sending voice; Identify the word of described voice, identify user emotion according to described physiological data parameter; Semanteme is identified by described word and described user emotion.The present invention is in identification voice semantic procedure, and voice user sent combine with the mood of user when sending voice, can accurately identify semanteme, greatly improve the experience of user.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, below the accompanying drawing used required in describing the embodiment of the present invention is briefly described, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to the content of the embodiment of the present invention and these accompanying drawings.
Fig. 1 is the method flow diagram of the first embodiment of the method for a kind of wearable device identification semanteme provided in the specific embodiment of the invention.
Fig. 2 is the method flow diagram of the second embodiment of the method for a kind of wearable device identification semanteme provided in the specific embodiment of the invention.
Fig. 3 is the method flow diagram of the 3rd embodiment of the method for a kind of wearable device identification semanteme provided in the specific embodiment of the invention.
Fig. 4 is the method flow diagram of the 4th embodiment of the method for a kind of wearable device identification semanteme provided in the specific embodiment of the invention.
Fig. 5 is the method flow diagram of the 5th embodiment of the method for a kind of wearable device identification semanteme provided in the specific embodiment of the invention.
Fig. 6 is the block diagram of the first embodiment of the system of a kind of wearable device identification semanteme provided in the specific embodiment of the invention.
Fig. 7 is the block diagram of the second embodiment of the system of a kind of wearable device identification semanteme provided in the specific embodiment of the invention.
Embodiment
The technical matters solved for making the present invention, the technical scheme of employing and the technique effect that reaches are clearly, be described in further detail below in conjunction with the technical scheme of accompanying drawing to the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those skilled in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Please refer to Fig. 1, it is the method flow diagram of the first embodiment of the method for a kind of wearable device identification semanteme provided in the specific embodiment of the invention.As shown in the figure, the method, comprising:
Step S101, the voice that acquisition user sends and physiological data parameter when sending voice.
Concrete, wearable device is provided with heart rate pulse transducer, skin pricktest sensor, when carrying out semantics recognition, user sends voice, wearable device obtains the voice that send of user, and obtains physiological data parameter when user sends voice by heart rate pulse transducer, skin pricktest sensor.In the present embodiment, physiological data parameter when user sends voice comprises: palmic rate, skin temperature, skin conductivity level, skin conductivity reaction, galvanic skin reflex, skin potential, dermatopolyneuritis, skin conductance etc.
Step S102, identifies the word of described voice, identifies user emotion according to described physiological data parameter.
Concrete, controlled the word identified alternately corresponding to the voice that user sends by voice semantics recognition on wearable device, and physiological data parameter when sending voice according to the user recorded by the biosensor on wearable device identifies the mood of user.In the present embodiment, user emotion comprises: sad, glad, surprised, angry.
Step S103, identifies semanteme by described word and described user emotion.
Concrete, the user emotion that the word corresponding according to the voice of the voice semantics recognition control interactive identification on wearable device and the physiological parameter recorded reflect identifies the semanteme of user.
In sum, the physiological data parameter when embodiment of the present invention is by obtaining the voice that send of user and sending voice; Identify the word of described voice, identify user emotion according to described physiological data parameter; Semanteme is identified by described word and described user emotion.The present invention is in identification voice semantic procedure, and voice user sent combine with the mood of user when sending voice, can accurately identify semanteme, greatly improve the experience of user.
Please refer to Fig. 2, it is the method flow diagram of the second embodiment of the method for a kind of wearable device identification semanteme provided in the specific embodiment of the invention.As shown in the figure, the method, comprising:
Step S201, the voice semantics recognition opening wearable device controls mutual, obtains the voice that user sends.
Step S202, starts the biosensor of wearable device, and acquisition user sends physiological data parameter during voice.
Concrete, biosensor comprises: heart rate pulse transducer, skin pricktest sensor; Physiological data parameter comprises: palmic rate, skin temperature, skin conductivity level, skin conductivity reaction, galvanic skin reflex, skin potential, dermatopolyneuritis, skin conductance.
Step S203, identifies the word of described voice, identifies user emotion according to described physiological data parameter.
Step S204, identifies semanteme by described word and described user emotion.
In sum, the embodiment of the present invention controls mutual by the voice semantics recognition opening wearable device, obtain the voice that user sends, start the biosensor of wearable device, obtain physiological data parameter when user sends voice, and identify the word of the voice that user sends and the mood corresponding to described physiological data parameter, semanteme when determining that user speech is mutual according to mood and word, make interactive voice more accurately and hommization, improve the experience of user.
Please refer to Fig. 3, it is the method flow diagram of the 3rd embodiment of the method for a kind of wearable device identification semanteme provided in the specific embodiment of the invention.As shown in the figure, the method, comprising:
Step S301, the voice semantics recognition opening wearable device controls mutual, obtains the voice that user sends.
Step S302, starts the biosensor of wearable device, and acquisition user sends physiological data parameter during voice.
Step S303, voice semantics recognition controls the word that interactive identification goes out described voice.
Concrete, the language and characters recognition function in mutual according to the control of voice semantics recognition identifies the word corresponding to the voice that user sends.
Step S304, according to the preset relation of physiological data parameter and mood in described biosensor, identifies user emotion.
Concrete, physiological data parameter comprises: palmic rate, skin temperature, skin conductivity level, skin conductivity reaction, galvanic skin reflex, skin potential, dermatopolyneuritis, skin conductance.Palmic rate is one of good physical signs of mood, satisfied or happy time, heartbeat is normal, is in 60-100 beat/min; And when being in anxiety, fear or violent rage state, heartbeat is just accelerated.Electrodermal response: emotional state is when changing, and in skin, the diastole of blood vessel and the change such as contraction and sweat gland secretion, can cause the change of dermatopolyneuritis.The principal element affecting skin pricktest foundation level has three: arousal level, temperature and activity.Skin pricktest level is lower in the morning, culminates to noon, reduces again at night.Skin pricktest mainly reflects the temperature adjuster system of health, and when the very high somagenic need heat radiation of temperature, skin is because perspiring, and skin pricktest level is just high; And temperature is lower, skin pricktest level is just low.In addition, when just preparing a certain task, skin pricktest level can rise gradually; When taking to a certain activity, skin pricktest level is just correspondingly elevated to a higher level; And skin pricktest level reduces when rest.
In the present embodiment, according to the mood of people in daily life in sad, glad, surprised, angry situation, the scope of physiological data parameter corresponding respectively sets up the preset relation of physiological data parameter and mood in biosensor; When detecting that physiological data parameter is when the scope of the physiological data parameter of sadness, then the mood identified when user sends voice is sad; When detecting that physiological data parameter is when the scope of the physiological data parameter of happiness, then the mood identified when user sends voice is glad; In like manner identify surprised, angry mood.
Step S305, identifies semanteme by described word and described user emotion.
In sum, the embodiment of the present invention controls by voice semantics recognition the word that interactive identification goes out described voice, according to the preset relation of physiological data parameter and mood in described biosensor, identify user emotion, mood and word are combined and identifies semanteme, greatly improve the accuracy rate of interactive voice.
Please refer to Fig. 4, it is the method flow diagram of the 4th embodiment of the method for a kind of wearable device identification semanteme provided in the specific embodiment of the invention.As shown in the figure, the method, comprising:
Step S401, the voice that acquisition user sends and physiological data parameter when sending voice.
Step S402, identifies the word of described voice, identifies user emotion according to described physiological data parameter.
Step S403, the user emotion of physiological data parameter identification when pre-set user sends the word of speech recognition and sends voice, forms sound bank.
Concrete, when carrying out speech recognition, rule of thumb and preset the relation set up between the voice word corresponding with voice; According to the mood of people in daily life in sad, glad, surprised, angry situation, the scope of physiological data parameter corresponding respectively sets up the preset relation of physiological data parameter and mood in biosensor; When detecting that physiological data parameter is when the scope of the physiological data parameter of sadness, then the mood identified when user sends voice is sad; When detecting that physiological data parameter is when the scope of the physiological data parameter of happiness, then the mood identified when user sends voice is glad; In like manner identify surprised, angry mood; With this set up send voice time physiological data parameter and the relation of user emotion.Relation between the word that voice are corresponding with voice and when sending voice the relation of physiological data parameter and user emotion form sound bank.
Step S404, is mated with sound bank by word and user emotion, identifies semanteme.
In sum, the user emotion of physiological data parameter identification when embodiment of the present invention pre-set user sends the word of speech recognition and sends voice, forms sound bank; Mated with sound bank by word and user emotion, identify semanteme, simple to operate, efficiency is higher, improves the Experience Degree of user.
Please refer to Fig. 5, it is the method flow diagram of the 5th embodiment of the method for a kind of wearable device identification semanteme provided in the specific embodiment of the invention.As shown in the figure, the method, comprising:
Step S501, the voice that acquisition user sends and physiological data parameter when sending voice;
Step S502, identifies the word of described voice, identifies user emotion according to described physiological data parameter;
Step S503, identifies semanteme by described word and described user emotion.
Step S504, according to semantic and user emotion, carries out information feed back.
Concrete, wearable device uses some voice or word to give user suitable information feed back according to the semanteme identified and user emotion.Such as: when user provides repeatedly similar voice command, and and with mood restless time, the feedback given according to the user command of speech recognition before then representing is inaccurate, need to change in time, now wearable device will first be apologized, then adopt finer guidance mode, allow user change a kind of voice saying of other equivalent.
In sum, the embodiment of the present invention is in conjunction with the mood of user and voice semantics recognition, and give suitable feedback, allowing user feel is not icy machine, but a nature person that can experience mood is in dialogue, improves the Experience Degree of user greatly.
It is below the embodiment of the system of a kind of wearable device identification of this programme semanteme, a kind of embodiment of system of wearable device identification semanteme realizes based on a kind of embodiment of method of wearable device identification semanteme, description not most in a kind of embodiment of system of wearable device identification semanteme, please refer to a kind of embodiment of method of wearable device identification semanteme.
Please refer to Fig. 6, it is the block diagram of the first embodiment of the system of a kind of wearable device identification semanteme provided in the specific embodiment of the invention.As shown in the figure, the method, comprising:
Acquisition module 610, the voice that acquisition user sends and physiological data parameter when sending voice.
First identification module 620, identifies the word of described voice, identifies user emotion according to described physiological data parameter.
Concrete, described user emotion comprises sadness, happiness, surprised, angry.
Second identification module 630, identifies semanteme by described word and described user emotion.
In sum, above-mentioned each unit collaborative work, the voice sent by acquisition user and physiological data parameter when sending voice; Identify the word of described voice, identify user emotion according to described physiological data parameter; Semanteme is identified by described word and described user emotion.The present invention is in identification voice semantic procedure, and voice user sent combine with the mood of user when sending voice, can accurately identify semanteme, greatly improve the experience of user.
Please refer to Fig. 7, it is the block diagram of the second embodiment of the system of a kind of wearable device identification semanteme provided in the specific embodiment of the invention.As shown in the figure, this system, comprising:
Acquisition module 610, the voice that acquisition user sends and physiological data parameter when sending voice;
Concrete, acquisition module 610 comprises the first acquisition module 611 and detection module 612.
First acquisition module 611, the voice semantics recognition opening wearable device controls mutual, obtains the voice that user sends.
Detection module 612, starts the detection biosensor of wearable device, and acquisition user sends physiological data parameter during voice.
Concrete, biosensor comprises: heart rate pulse transducer, skin pricktest sensor; Described physiological data parameter comprises: palmic rate, skin temperature, skin conductivity level, skin conductivity reaction, galvanic skin reflex, skin potential, dermatopolyneuritis, skin conductance.
First identification module 620, identifies the word of described voice, identifies user emotion according to described physiological data parameter.
Concrete, the first identification module 620 comprises Text region module 621 and Emotion identification module 622.
Text region module 621, voice semantics recognition controls the word that interactive identification goes out described voice.
Emotion identification module 622, according to the preset relation of physiological data parameter and mood in described biosensor, identifies user emotion.
Second identification module 630, identifies semanteme by described word and described user emotion.
Concrete, the second identification module 630 comprises presetting module 631 and matching module 632.
Presetting module 631, the user emotion of physiological data parameter identification when pre-set user sends the word of speech recognition and sends voice, forms sound bank.
Matching module 632, is mated with sound bank by word and user emotion, identifies semanteme.
Feedback module 640, according to semantic and user emotion, carries out information feed back.
In sum, above-mentioned each unit collaborative work, in acquisition module 610, the first acquisition module 611 obtains the voice that user sends, and detection module 612 obtains physiological data parameter when user sends voice; In first identification module 620, word identification module 621 identifies the word of described voice, and Emotion identification module 622 identifies user emotion; In second identification module 630, presetting module 631 forms sound bank, and matching module 632 identifies semanteme; Feedback module 640 carries out information feed back.Physiological data monitoring attribute main in embodiment of the present invention convergence voice semantics recognition and wearable device, allow in the process of voice semantics recognition, incorporate more users emotional change, the semanteme making identification and the interactive voice result giving user feedback, more meet the experience of nature person, can hold user emotion more accurately, user experience is high.
Below know-why of the present invention is described in conjunction with specific embodiments.These describe just in order to explain principle of the present invention, and can not be interpreted as limiting the scope of the invention by any way.Based on explanation herein, those skilled in the art does not need to pay performing creative labour can associate other embodiment of the present invention, and these modes all will fall within protection scope of the present invention.
Claims (10)
1. a method for wearable device identification semanteme, is characterized in that, comprising:
The voice that acquisition user sends and physiological data parameter when sending voice;
Identify the word of described voice, identify user emotion according to described physiological data parameter;
Semanteme is identified by described word and described user emotion.
2. method according to claim 1, is characterized in that, the voice that described acquisition user sends and physiological data parameter when sending voice, comprising:
The voice semantics recognition opening wearable device controls mutual, obtains the voice that user sends;
Start the biosensor of wearable device, acquisition user sends physiological data parameter during voice.
3. method according to claim 2, is characterized in that, the word of the described voice of described identification, identifies user emotion, comprising according to described physiological data parameter:
Voice semantics recognition controls the word that interactive identification goes out described voice;
According to the preset relation of physiological data parameter and mood in described biosensor, identify user emotion.
4. according to the method in claim 2 or 3, it is characterized in that, described biosensor comprises: heart rate pulse transducer, skin pricktest sensor.
5. method according to claim 1, is characterized in that, described physiological data parameter comprises: palmic rate, skin temperature, skin conductivity level, skin conductivity reaction, galvanic skin reflex, skin potential, dermatopolyneuritis, skin conductance.
6. method according to claim 1, is characterized in that, described user emotion comprises sadness, happiness, surprised, angry.
7. method according to claim 1, is characterized in that, describedly identifies semanteme by word and user emotion, comprising:
The user emotion of physiological data parameter identification when pre-set user sends the word of speech recognition and sends voice, forms sound bank;
Mated with sound bank by word and user emotion, identify semanteme.
8. method according to claim 1, is characterized in that, described identify semanteme by described word and described user emotion after, also comprise:
According to semantic and user emotion, carry out information feed back.
9. a system for wearable device identification semanteme, is characterized in that, comprising:
Acquisition module, the voice that acquisition user sends and physiological data parameter when sending voice;
First identification module, identifies the word of described voice, identifies user emotion according to described physiological data parameter;
Second identification module, identifies semanteme by described word and described user emotion.
10. system according to claim 9, is characterized in that:
Described acquisition module comprises:
First acquisition module, the voice semantics recognition opening wearable device controls mutual, obtains the voice that user sends; And
Detection module, starts the detection biosensor of wearable device, and acquisition user sends physiological data parameter during voice;
Described first identification module comprises:
Text region module, voice semantics recognition controls the word that interactive identification goes out described voice; And
Emotion identification module, according to the preset relation of physiological data parameter and mood in described biosensor, identifies user emotion;
Described second identification module comprises:
Presetting module, the user emotion of physiological data parameter identification when pre-set user sends the word of speech recognition and sends voice, forms sound bank; And
Matching module, is mated with sound bank by word and user emotion, identifies semanteme;
System also comprises:
Feedback module, according to semantic and user emotion, carries out information feed back.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510650043.9A CN105374366A (en) | 2015-10-09 | 2015-10-09 | Method and system for wearable device to identify meaning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510650043.9A CN105374366A (en) | 2015-10-09 | 2015-10-09 | Method and system for wearable device to identify meaning |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105374366A true CN105374366A (en) | 2016-03-02 |
Family
ID=55376494
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510650043.9A Pending CN105374366A (en) | 2015-10-09 | 2015-10-09 | Method and system for wearable device to identify meaning |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105374366A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106601231A (en) * | 2016-12-22 | 2017-04-26 | 深圳市元征科技股份有限公司 | Vehicle control method and apparatus |
| CN106910514A (en) * | 2017-04-30 | 2017-06-30 | 上海爱优威软件开发有限公司 | Method of speech processing and system |
| CN107016996A (en) * | 2017-06-06 | 2017-08-04 | 广东小天才科技有限公司 | A kind of processing method and processing device of voice data |
| CN107393529A (en) * | 2017-07-13 | 2017-11-24 | 珠海市魅族科技有限公司 | Audio recognition method, device, terminal and computer-readable recording medium |
| CN107463684A (en) * | 2017-08-09 | 2017-12-12 | 珠海市魅族科技有限公司 | Voice replying method and device, computer installation and computer-readable recording medium |
| CN108877801A (en) * | 2018-06-14 | 2018-11-23 | 南京云思创智信息科技有限公司 | More wheel dialog semantics based on multi-modal Emotion identification system understand subsystem |
| CN110808041A (en) * | 2019-09-24 | 2020-02-18 | 深圳市火乐科技发展有限公司 | Voice recognition method, intelligent projector and related product |
| WO2021073646A1 (en) * | 2019-10-18 | 2021-04-22 | 四川大学华西医院 | Method for evaluating emotional characteristics based on language guidance and heart rate response |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102831891A (en) * | 2011-06-13 | 2012-12-19 | 富士通株式会社 | Processing method and system for voice data |
| CN103500578A (en) * | 2013-10-22 | 2014-01-08 | 上海云视科技有限公司 | Voice control method and device |
| CN103561652A (en) * | 2011-06-01 | 2014-02-05 | 皇家飞利浦有限公司 | Method and system for assisting patients |
| WO2014036263A1 (en) * | 2012-08-29 | 2014-03-06 | Brown University | An accurate analysis tool and method for the quantitative acoustic assessment of infant cry |
| CN103811009A (en) * | 2014-03-13 | 2014-05-21 | 华东理工大学 | Smart phone customer service system based on speech analysis |
| CN104038804A (en) * | 2013-03-05 | 2014-09-10 | 三星电子（中国）研发中心 | Subtitle synchronization device and subtitle synchronization method based on speech recognition |
| US20140303982A1 (en) * | 2013-04-09 | 2014-10-09 | Yally Inc. | Phonetic conversation method and device using wired and wiress communication |
-
2015
- 2015-10-09 CN CN201510650043.9A patent/CN105374366A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103561652A (en) * | 2011-06-01 | 2014-02-05 | 皇家飞利浦有限公司 | Method and system for assisting patients |
| CN102831891A (en) * | 2011-06-13 | 2012-12-19 | 富士通株式会社 | Processing method and system for voice data |
| WO2014036263A1 (en) * | 2012-08-29 | 2014-03-06 | Brown University | An accurate analysis tool and method for the quantitative acoustic assessment of infant cry |
| CN104038804A (en) * | 2013-03-05 | 2014-09-10 | 三星电子（中国）研发中心 | Subtitle synchronization device and subtitle synchronization method based on speech recognition |
| US20140303982A1 (en) * | 2013-04-09 | 2014-10-09 | Yally Inc. | Phonetic conversation method and device using wired and wiress communication |
| CN103500578A (en) * | 2013-10-22 | 2014-01-08 | 上海云视科技有限公司 | Voice control method and device |
| CN103811009A (en) * | 2014-03-13 | 2014-05-21 | 华东理工大学 | Smart phone customer service system based on speech analysis |
Non-Patent Citations (1)
| Title |
|---|
| 赵力: "《语音信号处理》", 31 March 2003 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106601231A (en) * | 2016-12-22 | 2017-04-26 | 深圳市元征科技股份有限公司 | Vehicle control method and apparatus |
| CN106910514A (en) * | 2017-04-30 | 2017-06-30 | 上海爱优威软件开发有限公司 | Method of speech processing and system |
| CN107016996A (en) * | 2017-06-06 | 2017-08-04 | 广东小天才科技有限公司 | A kind of processing method and processing device of voice data |
| CN107393529A (en) * | 2017-07-13 | 2017-11-24 | 珠海市魅族科技有限公司 | Audio recognition method, device, terminal and computer-readable recording medium |
| CN107463684A (en) * | 2017-08-09 | 2017-12-12 | 珠海市魅族科技有限公司 | Voice replying method and device, computer installation and computer-readable recording medium |
| CN108877801A (en) * | 2018-06-14 | 2018-11-23 | 南京云思创智信息科技有限公司 | More wheel dialog semantics based on multi-modal Emotion identification system understand subsystem |
| CN108877801B (en) * | 2018-06-14 | 2020-10-02 | 南京云思创智信息科技有限公司 | Multi-turn dialogue semantic understanding subsystem based on multi-modal emotion recognition system |
| CN110808041A (en) * | 2019-09-24 | 2020-02-18 | 深圳市火乐科技发展有限公司 | Voice recognition method, intelligent projector and related product |
| CN110808041B (en) * | 2019-09-24 | 2021-01-12 | 深圳市火乐科技发展有限公司 | Voice recognition method, intelligent projector and related product |
| WO2021073646A1 (en) * | 2019-10-18 | 2021-04-22 | 四川大学华西医院 | Method for evaluating emotional characteristics based on language guidance and heart rate response |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105374366A (en) | Method and system for wearable device to identify meaning | |
| CN109460752B (en) | Emotion analysis method and device, electronic equipment and storage medium | |
| EP2713881B1 (en) | Method and system for assisting patients | |
| WO2017020660A1 (en) | Method and apparatus for starting preset function in wearable electronic terminal | |
| KR102416782B1 (en) | Method for operating speech recognition service and electronic device supporting the same | |
| CN105144027A (en) | Using nonverbal communication in determining actions | |
| JP2006071936A (en) | Dialogue agent | |
| CN108629313A (en) | Emotion adjustment method, device, system and computer storage media | |
| KR102276415B1 (en) | Apparatus and method for predicting/recognizing occurrence of personal concerned context | |
| US20230046658A1 (en) | Synthesized speech audio data generated on behalf of human participant in conversation | |
| EP3890342A1 (en) | Method and apparatus for awakening wearable device | |
| CN110658742A (en) | Multi-mode cooperative control wheelchair control system and method | |
| CN110598611A (en) | Nursing system, patient nursing method based on nursing system and readable storage medium | |
| CN112217941A (en) | Method, apparatus and medium for operating a digital assistant | |
| CN113287175A (en) | Interactive health status evaluation method and system thereof | |
| Zhang et al. | Speechin: A smart necklace for silent speech recognition | |
| Katada et al. | Is she truly enjoying the conversation? analysis of physiological signals toward adaptive dialogue systems | |
| JP2020126195A (en) | Voice interactive device, control device for voice interactive device and control program | |
| US10983808B2 (en) | Method and apparatus for providing emotion-adaptive user interface | |
| WO2017179262A1 (en) | Information processing device, information processing method, and program | |
| CN109616109B (en) | Voice awakening method, device and system | |
| JP7021488B2 (en) | Information processing equipment and programs | |
| US20160321356A1 (en) | A device and a method for establishing a personal digital profile of a user | |
| WO2018116556A1 (en) | Information processing device and information processing method | |
| CN115019798A (en) | Control method and device of voice recognition equipment, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160302 |