CN108875025B - Smart home emotion interaction system - Google Patents
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Abstract
The invention provides an intelligent home emotion interaction system which comprises a voice acquisition module, a character conversion module, an emotion recognition module and an emotion interaction module, wherein the voice acquisition module is used for acquiring voice information of a user, the character conversion module is used for converting the voice information into a text, the emotion recognition module is used for determining the emotion state of the text, and the emotion interaction module is used for interacting with the user according to the emotion state of the text. The invention has the beneficial effects that: through the identification of the emotional state of the user, the accurate interaction of the human-computer emotion in the intelligent home is realized.
Description
Technical Field
The invention relates to the technical field of smart home, in particular to an intelligent home emotion interaction system.
Background
With the continuous update of scientific technology, the technology of subjects such as information science, cognitive science, brain science, psychology, anthropology and the like is different and different. The development of these advanced technologies puts new demands on the future of artificial intelligence. Meanwhile, along with the continuous improvement of the civilization degree of the society, the level of science and technology is continuously improved, the level of mental civilization of people is also continuously improved, and all the effects of rapid economic development and great improvement of the living standard and the living quality are brought. It is under this opportunity that the internet of things comes at the right moment. The smart home, which is one of the widely applied internet of things, has also received attention from researchers at home and abroad.
In the research of the smart home, a researcher only considers the environment of the hardware of the smart home system, but lacks the consideration of the software environment, easily ignores the personalized experience of a user, and ignores the inherent requirements of the user. Therefore, besides intelligent hardware facilities, a set of intelligent soft environment assistance is also needed to achieve the purpose of harmonious and personalized human-computer interaction.
Disclosure of Invention
Aiming at the problems, the invention aims to provide an intelligent home emotion interaction system.
The purpose of the invention is realized by adopting the following technical scheme:
the intelligent home emotion interaction system comprises a voice acquisition module, a character conversion module, an emotion recognition module and an emotion interaction module, wherein the voice acquisition module is used for acquiring voice information of a user, the character conversion module is used for converting the voice information into a text, the emotion recognition module is used for determining the emotion state of the text, and the emotion interaction module is used for interacting with the user according to the emotion state of the text.
The invention has the beneficial effects that: through the identification of the emotional state of the user, the accurate interaction of the human-computer emotion in the intelligent home is realized.
Optionally, the emotion recognition module includes a word segmentation module, an emotion word determination module, an emotion word modeling module, a sentence emotion state determination module, and a text emotion state determination module, where the word segmentation module is configured to segment a sentence in a text into words, the emotion word determination module is configured to screen out words representing emotion characteristics from the words as emotion words, the emotion word modeling module is configured to establish a mathematical model of the emotion words, the sentence emotion state determination module is configured to determine an emotion state of the sentence according to the mathematical model of the emotion words, and the text emotion state determination module is configured to determine an emotion state of the text according to the emotion state of the sentence.
Optionally, the emotion word modeling module is configured to establish a mathematical model of an emotion word, and specifically includes:
using q as emotion wordnZ (q) for expressing, emotion word, emotion staten)＝[b(qn)，c(qn)]Where N is 1,2, …, N indicates the number of emotion words in the sentence, and b (q)n) Expressing the emotional polarity of the emotional word, c (q)n) Representing the emotional intensity of the emotional words;
the emotion polarity of the emotion words is specifically: if b (q)n) If 1, the emotion word is a forward emotion word, and if b (q)n) If the emotion words are negative emotion words, the negative emotion words are negative emotion words;
the emotion intensity of the emotion words is specifically as follows:
representing emotional words qnEmotional intensity of c (q)n) The larger the emotion, the greater the emotional intensity of the emotion word.
Optionally, the statement emotional state determining module is configured to determine an emotional state of the statement according to the mathematical model of the emotional word, and specifically includes:
using p as sentencemIndicating, for example, the emotional state of the sentence Z (p)m)＝[d(pm)，e(pm)]Where M is 1,2, …, M, N indicates the number of sentences in the text, d (p)m) Expressing the emotional polarity of the sentence, c (q)n) Representing the emotional intensity of the sentence;
the emotional polarity of the sentence is specifically: d (p) if the sum of the emotional intensity of the positive emotional words in the sentence is greater than that of the negative emotional words in the sentencem) 1, the sentence is a positive emotion sentence, and if the sum of the emotion intensities of the positive emotion words in the sentence is smaller than the sum of the emotion intensities of the negative emotion words in the sentence, d (p)m) If the sum of the emotion intensities of the positive emotion words in the sentence is equal to the sum of the emotion intensities of the negative emotion words in the sentence, d (p)m) 0, the sentence is a neutral emotion sentence;
the emotional intensity of the sentence is specifically as follows:
in the formula, e (p)m) Representing a sentence pmEmotional intensity of (1), Σ [ c (q)n)Is just]Represents the sum of the emotional intensity of the positive emotion words in the sentence, Σ [ c (q)n)Negative pole]Representing the sum of the emotional intensities of negative emotion words in the sentence; e (p)m) The larger the emotion intensity of the expression sentence.
Optionally, the text emotional state determining module is configured to determine an emotional state of the text according to an emotional state of the sentence, and specifically includes:
the text is represented by w, the text emotion state is represented by Z (w) ═ f (w), h (w), wherein f (w) represents the emotion polarity of the text, and h (w) represents the emotion intensity of the text;
the emotion polarity of the text is specifically: if the sum of the emotion intensities of the positive emotion sentences in the text is greater than the sum of the emotion intensities of the negative emotion sentences in the text, f (w) ═ 1, the text is a positive emotion text, if the sum of the emotion intensities of the positive emotion sentences in the text is less than the sum of the emotion intensities of the negative emotion sentences in the text, f (w) ═ 1, the text is a negative emotion text, if the sum of the emotion intensities of the positive emotion sentences in the text is equal to the sum of the emotion intensities of the negative emotion sentences in the text, f (w) ═ 0, and the text is a neutral emotion text;
the emotion intensity of the text is specifically as follows:
where h (w) represents the emotional intensity of text w, Σ [ e (p)m)Is just]Represents the sum of the emotion intensities, Σ [ e (p), of the forward emotion sentences in the textm)Negative pole]Representing the sum of the emotion intensities of negative emotion sentences in the text; the larger h (w), the greater the emotional intensity of the text.
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The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a schematic structural view of the present invention;
reference numerals:
the device comprises a voice acquisition module 1, a character conversion module 2, an emotion recognition module 3 and an emotion interaction module 4.
Detailed Description
The invention is further described with reference to the following examples.
Referring to fig. 1, the smart home emotion interaction system of the embodiment includes a voice acquisition module 1, a character conversion module 2, an emotion recognition module 3 and an emotion interaction module 4, where the voice acquisition module 1 is configured to acquire voice information of a user, the character conversion module 2 is configured to convert the voice information into a text, the emotion recognition module 3 is configured to determine an emotion state of the text, and the emotion interaction module 4 is configured to interact with the user according to the emotion state of the text.
According to the embodiment, the emotion states of the users are identified, and accurate interaction of human-computer emotion in the smart home is achieved.
Preferably, the emotion recognition module 3 comprises a word segmentation module, an emotion word determination module, an emotion word modeling module, a sentence emotion state determination module and a text emotion state determination module, wherein the word segmentation module is used for segmenting a sentence in the text into words, the emotion word determination module is used for screening out words representing emotion characteristics from the words as emotion words, the emotion word modeling module is used for establishing a mathematical model of the emotion words, the sentence emotion state determination module is used for determining the emotion state of the sentence according to the mathematical model of the emotion words, and the text emotion state determination module is used for determining the emotion state of the text according to the emotion state of the sentence;
the preferred embodiment lays a foundation for text emotion recognition by screening the emotion words and establishing a mathematical model, and realizes accurate recognition of text emotion.
Preferably, the emotion word modeling module is configured to establish a mathematical model of an emotion word, and specifically includes:
using q as emotion wordnZ (q) for expressing, emotion word, emotion staten)＝[b(qn)，c(qn)]Where N is 1,2, …, N indicates the number of emotion words in the sentence, and b (q)n) Expressing the emotional polarity of the emotional word, c (q)n) Representing the emotional intensity of the emotional words;
the emotion polarity of the emotion words is specifically: if b (q)n) If 1, the emotion word is a forward emotion word, and if b (q)n) If the emotion words are negative emotion words, the negative emotion words are negative emotion words;
the emotion intensity of the emotion words is specifically as follows:
representing emotional words qnEmotional intensity of c (q)n) The larger the emotion, the greater the emotional intensity of the emotional word;
the preferred embodiment establishes a mathematical model of the emotional words by defining the emotional polarity and the emotional intensity of the emotional words, and lays a foundation for determining the emotional states of subsequent sentences and texts;
the sentence emotional state determining module is used for determining the emotional state of the sentence according to the mathematical model of the emotional word, and specifically comprises the following steps:
using p as sentencemIndicating, for example, the emotional state of the sentence Z (p)m)＝[d(pm)，e(pm)]Where M is 1,2, …, M indicates the number of sentences in the text, d (p)m) Expressing the emotional polarity of the sentence, c (q)n) Representing the emotional intensity of the sentence;
the emotional polarity of the sentence is specifically: d (p) if the sum of the emotional intensity of the positive emotional words in the sentence is greater than that of the negative emotional words in the sentencem) 1, the sentence is a positive emotion sentence, and if the sum of the emotion intensities of the positive emotion words in the sentence is smaller than the sum of the emotion intensities of the negative emotion words in the sentence, d (p)m) If the sum of the emotion intensities of the positive emotion words in the sentence is equal to the sum of the emotion intensities of the negative emotion words in the sentence, d (p)m) 0, the sentence is a neutral emotion sentence;
the emotional intensity of the sentence is specifically as follows:
in the formula, e (p)m) Representing a sentence pmEmotional intensity of (1), Σ [ c (q)n)Is just]Represents the sum of the emotional intensity of the positive emotion words in the sentence, Σ [ c (q)n)Negative pole]Representing the sum of the emotional intensities of negative emotion words in the sentence; e (p)m) The larger the expression, the greater the emotional intensity of the sentence;
the text emotional state determining module is used for determining the emotional state of the text according to the emotional state of the sentence, and specifically comprises the following steps:
the text is represented by w, the text emotion state is represented by Z (w) ═ f (w), h (w), wherein f (w) represents the emotion polarity of the text, and h (w) represents the emotion intensity of the text;
the emotion polarity of the text is specifically: if the sum of the emotion intensities of the positive emotion sentences in the text is greater than the sum of the emotion intensities of the negative emotion sentences in the text, f (w) ═ 1, the text is a positive emotion text, if the sum of the emotion intensities of the positive emotion sentences in the text is less than the sum of the emotion intensities of the negative emotion sentences in the text, f (w) ═ 1, the text is a negative emotion text, if the sum of the emotion intensities of the positive emotion sentences in the text is equal to the sum of the emotion intensities of the negative emotion sentences in the text, f (w) ═ 0, and the text is a neutral emotion text;
the emotion intensity of the text is specifically as follows:
where h (w) represents the emotional intensity of text w, Σ [ e (p)m)Is just]Represents the sum of the emotion intensities, Σ [ e (p), of the forward emotion sentences in the textm)Negative pole]Representing the sum of the emotion intensities of negative emotion sentences in the text; the larger (h) (w), the greater the emotional intensity of the text;
the preferred embodiment analyzes the emotional words forming the sentences to determine the emotional states of the sentences, analyzes the sentences forming the text to determine the emotional states of the text, lays a foundation for accurate identification of emotion, and particularly realizes accurate acquisition of the emotional states of the text by defining the emotional polarities and the emotional intensities of the sentences and the text according to the emotional states of the emotional words.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by the ordinary technical destination in the art that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (3)
1. The smart home emotion interaction system is characterized by comprising a voice acquisition module, a character conversion module, an emotion recognition module and an emotion interaction module, wherein the voice acquisition module is used for acquiring voice information of a user, the character conversion module is used for converting the voice information into a text, the emotion recognition module is used for determining the emotion state of the text, and the emotion interaction module is used for interacting with the user according to the emotion state of the text;
the emotion recognition module comprises a word segmentation module, an emotion word determination module, an emotion word modeling module, a sentence emotion state determination module and a text emotion state determination module, wherein the word segmentation module is used for segmenting a sentence in a text into words, the emotion word determination module is used for screening out words representing emotion characteristics from the words as emotion words, the emotion word modeling module is used for building a mathematical model of the emotion words, the sentence emotion state determination module is used for determining the emotion state of the sentence according to the mathematical model of the emotion words, and the text emotion state determination module is used for determining the emotion state of the text according to the emotion state of the sentence;
the emotion word modeling module is used for establishing a mathematical model of the emotion words, and specifically comprises the following steps:
using q as emotion wordnZ (q) for expressing, emotion word, emotion staten)＝[b(qn)，c(qn)]Where N is 1,2, …, N indicates the number of emotion words in the sentence, and b (q)n) Expressing the emotional polarity of the emotional word, c (q)n) Representing the emotional intensity of the emotional words;
the emotion polarity of the emotion words is specifically: if b (q)n) If 1, the emotion word is a forward emotion word, and if b (q)n) If the emotion words are negative emotion words, the negative emotion words are negative emotion words;
the emotion intensity of the emotion words is specifically as follows:
c(qn) Representing emotional words qnEmotional intensity of c (q)n) The larger the emotion, the greater the emotional intensity of the emotion word.
2. The smart home emotion interaction system of claim 1, wherein the sentence emotion state determination module is configured to determine an emotion state of a sentence according to a mathematical model of an emotion word, and specifically comprises:
using p as sentencemIndicating, for example, the emotional state of the sentence Z (p)m)＝[d(pm)，e(pm)]Where M is 1,2, …, M indicates the number of sentences in the text, d (p)m) Expressing the emotional polarity of the sentence, c (q)n) Representing the emotional intensity of the sentence;
the emotional polarity of the sentence is specifically: d (p) if the sum of the emotional intensity of the positive emotional words in the sentence is greater than that of the negative emotional words in the sentencem) 1, the sentence is a positive emotion sentence, and if the sum of the emotion intensities of the positive emotion words in the sentence is smaller than the sum of the emotion intensities of the negative emotion words in the sentence, d (p)m) If the sum of the emotion intensities of the positive emotion words in the sentence is equal to the sum of the emotion intensities of the negative emotion words in the sentence, d (p)m) 0, the sentence is a neutral emotion sentence;
the emotional intensity of the sentence is specifically as follows:
in the formula, e (p)m) Representing a sentence pmEmotional intensity of (1), Σ [ c (q)n)Is just]Represents the sum of the emotional intensity of the positive emotion words in the sentence, Σ [ c (q)n)Negative pole]Representing the sum of the emotional intensities of negative emotion words in the sentence; e (p)m) The larger the emotion intensity of the expression sentence.
3. The smart home emotion interaction system of claim 2, wherein the text emotion state determination module is configured to determine an emotion state of a text according to an emotion state of a sentence, and specifically is configured to:
the text is represented by w, the text emotion state is represented by Z (w) ═ f (w), h (w), wherein f (w) represents the emotion polarity of the text, and h (w) represents the emotion intensity of the text;
the emotion polarity of the text is specifically: if the sum of the emotion intensities of the positive emotion sentences in the text is greater than the sum of the emotion intensities of the negative emotion sentences in the text, f (w) ═ 1, the text is a positive emotion text, if the sum of the emotion intensities of the positive emotion sentences in the text is less than the sum of the emotion intensities of the negative emotion sentences in the text, f (w) ═ 1, the text is a negative emotion text, if the sum of the emotion intensities of the positive emotion sentences in the text is equal to the sum of the emotion intensities of the negative emotion sentences in the text, f (w) ═ 0, and the text is a neutral emotion text;
the emotion intensity of the text is specifically as follows:
where h (w) represents the emotional intensity of text w, Σ [ e (p)m)Is just]Represents the sum of the emotion intensities, Σ [ e (p), of the forward emotion sentences in the textm)Negative pole]Representing the sum of the emotion intensities of negative emotion sentences in the text; the larger h (w), the greater the emotional intensity of the text.
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| CN105244042A (en) * | 2015-08-26 | 2016-01-13 | 安徽建筑大学 | FSA (Finite State Automaton) based voice emotion interaction device and method |
| CN107291696A (en) * | 2017-06-28 | 2017-10-24 | 达而观信息科技（上海）有限公司 | A kind of comment word sentiment analysis method and system based on deep learning |
| CN107944008A (en) * | 2017-12-08 | 2018-04-20 | 神思电子技术股份有限公司 | A kind of method that Emotion identification is carried out for natural language |
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| CN105244042A (en) * | 2015-08-26 | 2016-01-13 | 安徽建筑大学 | FSA (Finite State Automaton) based voice emotion interaction device and method |
| CN107291696A (en) * | 2017-06-28 | 2017-10-24 | 达而观信息科技（上海）有限公司 | A kind of comment word sentiment analysis method and system based on deep learning |
| CN107944008A (en) * | 2017-12-08 | 2018-04-20 | 神思电子技术股份有限公司 | A kind of method that Emotion identification is carried out for natural language |
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