CN113288062A - Multi-dimensional staff emotion analysis method and system - Google Patents
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Abstract
The invention belongs to the technical field of information management, and discloses a multidimensional personnel emotion analysis method and a multidimensional personnel emotion analysis system, which comprise data acquisition equipment, service data processing equipment, data cloud storage equipment, an intelligent AI algorithm engine and emotion output equipment, wherein the multidimensional personnel emotion analysis method comprises the steps of acquiring facial expression information, heart rate information, blood oxygen information, body temperature information, activity range information, exercise step number information and sound information of personnel by the data acquisition equipment in cooperation with the service data processing equipment, transmitting the information to the data cloud storage equipment, extracting corresponding normal personnel information from a database by the data extraction module by the data cloud storage equipment, comparing the acquired information with large data information in the database by the data comparison module, and simultaneously verifying the data information for multiple times in cooperation with the intelligent AI algorithm engine, and obtaining emotion information of the current person to be detected, transmitting the obtained result to emotion output equipment, and displaying and early warning.
Description
Technical Field
The invention belongs to the technical field of informatization management, and particularly relates to a multidimensional staff emotion analysis method and system.
Background
With the development and progress of science and technology, the requirements of people for things are changed from old thinking that people can use things as things to be quite fine and smooth, and only with the continuous progress or innovation conception, a new form is generated to improve the added value of the product, so that people can live under the test of intense market competition. In areas such as psychiatric hospital, drug rehabilitation facility, old people's home or prison, in order to prevent personnel from causing trouble, monitoring is mostly needed, but ordinary monitoring can not prevent the occurrence of trouble-causing situations, so emotion monitoring is needed for the personnel to achieve the purpose of prevention, at present, few systems for achieving the purpose of supervision through emotion analysis exist in the same type of informatization field, the systems also stay in the traditional stages of patrol monitoring and alarming, the informatization degree is low, and early warning can be rarely achieved.
Disclosure of Invention
In view of the problems raised by the above background art, the present invention is directed to: aiming at providing a method and a system for analyzing emotion of multi-dimensional personnel.
In order to achieve the technical purpose, the technical scheme adopted by the invention is as follows:
a multidimensional personnel emotion analysis system comprises data acquisition equipment, business data processing equipment, data cloud storage equipment, an intelligent AI algorithm engine and emotion output equipment;
the data acquisition equipment is in signal connection with the data processing equipment and comprises a camera, a wearable bracelet and a microphone;
the service data processing equipment is in signal connection with the data cloud storage equipment, the service data processing equipment comprises an image acquisition module, a heart rate detection module, a temperature acquisition module, a GPS positioning module, a pedometer module and a sound identification module, the image acquisition module is connected with the camera, the heart rate detection module, the temperature acquisition module, the GPS positioning module and the pedometer module are installed on the wearable bracelet, and the sound identification module is connected with the microphone;
the data cloud storage device is in signal connection with the intelligent AI algorithm engine and comprises a database, a data extraction module and a data comparison module, the data extraction module is connected with the database and the data comparison module, and the data comparison module is in signal connection with the image acquisition module, the heart rate detection module, the temperature acquisition module and the sound identification module;
the intelligent AI algorithm engine is in signal connection with the emotion output device and comprises a voice signal processing algorithm and a facial expression processing algorithm.
Further, the data cloud storage device is further provided with a data cleaning module, and due to the design, error correction is achieved, and accuracy is guaranteed.
Further limiting, the intelligent AI algorithm engine has five algorithm results, namely excitement, dysphoria, normality, rest and fatigue, and the design has clear judgment and ensures the accuracy of an analysis result.
Further inject, mood output device is connected with wireless transmission module, wireless transmission module wireless connection has handheld terminal, and such design, long-range wireless transmission reports to the police, excellent in use effect.
And further limiting, the voice signal processing algorithm comprises decibel recognition and keyword extraction, and the facial expression processing algorithm is mainly used for judging the current expression of the character according to the expression ratio on the facial image obtained by the image acquisition module.
Further inject, speech output module is installed to the wearable bracelet, speech output module and mood output device signal connection, such design makes the wearable bracelet possible to talkback.
A multidimensional person emotion analysis method comprises the following steps:
s1, acquiring facial expression information, heart rate information, blood oxygen information, body temperature information, activity range information, exercise step number information and sound information of the person through the data acquisition equipment in cooperation with the service data processing equipment;
s2, the information is transmitted to a data cloud storage device, the data cloud storage device extracts corresponding normal personnel information from a database through a data extraction module, a data comparison module performs data comparison on the acquired information and the large data information in the database, and meanwhile, an intelligent AI algorithm engine is matched to perform verification on the data information for multiple times to obtain emotion information of the current person to be tested;
and S3, transmitting the obtained result to the emotion output device and displaying or early warning on the emotion output device according to the result.
Further, the establishment of the database is obtained from the internet, and can be considered to be modified and input by the related technical personnel, so that the design is more humanized.
Further inject, the mode of early warning includes that buzzing is reported to the police and the warning of pilot lamp, and such design, warning effect is good.
Further limiting, the intelligent AI algorithm engine is connected with a deep learning module, and the algorithm is optimized through the design.
The invention has the following beneficial effects:
the invention achieves the purposes of early intervention and early warning by analyzing the emotion of the data, has high informatization degree, less manual processing flow, full-automatic processing and analysis and good monitoring effect, and prevents the occurrence of hit-and-run situations.
Drawings
The invention is further illustrated by the non-limiting examples given in the accompanying drawings;
FIG. 1 is a block diagram of a multi-dimensional emotion analysis system for a person according to an embodiment of the present invention;
FIG. 2 is a block diagram of a service data processing device according to an embodiment of the present invention;
FIG. 3 is a block diagram of a flow chart of an embodiment of a method for analyzing emotions of a multidimensional person according to the present invention;
the main element symbols are as follows:
the system comprises a data acquisition device 1, a camera 101, a wearable bracelet 102, a microphone 103, a business data processing device 2, an image acquisition module 201, a heart rate detection module 202, a temperature acquisition module 203, a GPS positioning module 204, a pedometer module 205, a voice recognition module 206, a data cloud storage device 3, a database 301, a data extraction module 302, a data comparison module 303, a data cleaning module 304, an intelligent AI algorithm engine 4, a voice signal processing algorithm 401, a facial expression processing algorithm 402 and an emotion output device 5.
Detailed Description
In order that those skilled in the art can better understand the present invention, the following technical solutions are further described with reference to the accompanying drawings and examples.
As shown in fig. 1, fig. 2, and fig. 3, the multidimensional people emotion analyzing system of the present invention includes a data collecting device 1, a service data processing device 2, a data cloud storage device 3, an intelligent AI algorithm engine 4, and an emotion outputting device 5;
the data acquisition equipment 1 is in signal connection with the data processing equipment 2, and the data acquisition equipment 1 comprises a camera 101, a wearable bracelet 102 and a microphone 103;
the service data processing device 2 is in signal connection with the data cloud storage device 3, the service data processing device 2 comprises an image acquisition module 201, a heart rate detection module 202, a temperature acquisition module 203, a GPS positioning module 204, a pedometer module 205 and a sound identification module 206, the image acquisition module 201 is connected with the camera 101, the heart rate detection module 202, the temperature acquisition module 203, the GPS positioning module 204 and the pedometer module 205 are installed on the wearable bracelet 102, and the sound identification module 206 is connected with the microphone 103;
the data cloud storage device 3 is in signal connection with the intelligent AI algorithm engine 4, the data cloud storage device 3 comprises a database 301, a data extraction module 302 and a data comparison module 303, the data extraction module 302 is connected with the database 301 and the data comparison module 303, and the data comparison module 303 is in signal connection with the image acquisition module 201, the heart rate detection module 202, the temperature acquisition module 203 and the sound identification module 206;
the intelligent AI algorithm engine 4 is in signal connection with the emotion output device 5, and the intelligent AI algorithm engine 4 includes a speech signal processing algorithm 401 and a facial expression processing algorithm 402.
A multidimensional person emotion analysis method comprises the following steps:
s1, acquiring facial expression information, heart rate information, blood oxygen information, body temperature information, activity range information, exercise step number information and sound information of the person through the data acquisition equipment 1 in cooperation with the service data processing equipment 2;
s2, the information is transmitted to the data cloud storage device 3, the data cloud storage device 3 extracts corresponding normal personnel information from the database 301 through the data extraction module 302, the data comparison module 303 performs data comparison on the acquired information and the big data information in the database, and meanwhile, the data information is verified for many times by matching with the intelligent AI algorithm engine 4, so that emotion information of the current person to be detected is obtained;
and S3, transmitting the obtained result to the emotion output device 5 and displaying or early warning on the emotion output device 5 according to the result.
In the embodiment, when the multidimensional people emotion analysis method and system are used, the position and the facial expression of a person are monitored through the camera 101, the physical condition of the person is detected through the wearable bracelet 102, the voice of the person is monitored through the microphone 103, the image acquisition module 201 is matched with the camera 101 to transmit the condition and the facial expression of the person to the data cloud storage device 3, the data extraction module 302 in the data cloud storage device 3 extracts data information corresponding to signals received by the data cloud storage device 3 from the database 301, the two data are compared through the data comparison module 303 to judge the emotion shown by the current facial expression, the emotion is further determined through the facial expression processing algorithm 402 in the intelligent AI algorithm engine 4 to ensure the recognition effect, and then the recognition result is transmitted to the emotion output device 5, the emotion value is displayed to the related personnel by the emotion output device 5, and corresponding alarm is performed to warn the related personnel, the heart rate detection module 202, the temperature acquisition module 203, the GPS positioning module 204 and the pedometer module 205 are matched with the wearable bracelet 102 to monitor the heart rate, the body temperature, the current position and the walking steps of the personnel, the current situation of the personnel is determined, the emotion of the personnel can be effectively estimated, the emotion value is displayed to the related personnel, corresponding alarm is performed, the voice identification module 206 is matched with the microphone 103 to monitor the voice of the personnel, the voice signal processing algorithm 401 can effectively extract keywords from the voice data information acquired by the voice identification module 206, whether the current personnel has large-amplitude change of emotion or has a sign of onset, the data information is displayed to the related personnel, and corresponding alarm is performed, in conclusion, the purposes of early intervention and early warning are achieved by analyzing the emotion through data, the informatization degree is high, the manual processing flow is few, the full-automatic processing analysis is realized, the monitoring effect is good, and the occurrence of the accident situation is prevented.
Preferably, the data cloud storage device 3 is further provided with a data cleaning module 304, and such design and error correction can also be considered according to specific situations to ensure accuracy.
Preferably, the intelligent AI algorithm engine 4 has five algorithm results, namely, excitement, dysphoria, normality, rest and fatigue, and the design has clear judgment and ensures the accuracy of the analysis result, and actually, the result of the intelligent AI algorithm engine 4 can be considered according to specific conditions.
Preferably, the emotion output equipment 5 is connected with a wireless transmission module, the wireless transmission module is wirelessly connected with a handheld terminal, and by the design, remote wireless transmission alarming is achieved, the using effect is good, and actually, the selection of the handheld terminal can be considered according to specific conditions.
The preferred voice signal processing algorithm comprises decibel recognition and keyword extraction, and the facial expression processing algorithm mainly judges the current expression of a character according to the expression ratio on the facial image obtained by the image acquisition module 201.
Preferably, wear formula bracelet 102 and install voice output module, voice output module and 5 signal connection of mood output device, such design makes wear formula bracelet 102 carry out the possibility of talkbacking, and in fact, also can consider the mode of instructing of talkbacking according to particular case.
Preferably, the database 301 is established by being obtained from the internet and can be modified and entered by the technicians in the field, and such design is more humanized, and actually, the establishment mode of the database 301 can be considered according to specific situations.
The preferable early warning mode comprises a buzzing warning mode and an indicator light warning mode, and due to the design, the warning effect is good, and actually, the warning mode can be considered according to specific conditions.
Preferably, the intelligent AI algorithm engine 4 is connected to a deep learning module, and such design, optimization algorithm, in fact, can also consider whether the deep learning module is needed according to specific situations.
The foregoing embodiments are merely illustrative of the principles of the present invention and its efficacy, and are not to be construed as limiting the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (10)
1. A multidimensional people emotion analysis system is characterized in that: the intelligent emotion recognition system comprises data acquisition equipment (1), business data processing equipment (2), data cloud storage equipment (3), an intelligent AI algorithm engine (4) and emotion output equipment (5);
the data acquisition equipment (1) is in signal connection with the data processing equipment (2), and the data acquisition equipment (1) comprises a camera (101), a wearable bracelet (102) and a microphone (103);
the service data processing equipment (2) is in signal connection with the data cloud storage equipment (3), the service data processing equipment (2) comprises an image acquisition module (201), a heart rate detection module (202), a temperature acquisition module (203), a GPS positioning module (204), a pedometer module (205) and a sound recognition module (206), the image acquisition module (201) is connected with the camera (101), the heart rate detection module (202), the temperature acquisition module (203), the GPS positioning module (204) and the pedometer module (205) are installed on the wearable bracelet (102), and the sound recognition module (206) is connected with the microphone (103);
the data cloud storage device (3) is in signal connection with the intelligent AI algorithm engine (4), the data cloud storage device (3) comprises a database (301), a data extraction module (302) and a data comparison module (303), the data extraction module (302) is connected with the database (301) and the data comparison module (303), and the data comparison module (303) is in signal connection with the image acquisition module (201), the heart rate detection module (202), the temperature acquisition module (203) and the sound recognition module (206);
the intelligent AI algorithm engine (4) is in signal connection with the emotion output device (5), and the intelligent AI algorithm engine (4) comprises a voice signal processing algorithm (401) and a facial expression processing algorithm (402).
2. A multidimensional people emotion analysis system as recited in claim 1, wherein: the data cloud storage device (3) is further provided with a data cleaning module (304).
3. A multidimensional people emotion analysis system as recited in claim 2, wherein: the intelligent AI algorithm engine (4) has five algorithm results, namely excitement, dysphoria, normality, rest and fatigue.
4. A multidimensional people emotion analysis system as recited in claim 3, wherein: the emotion output equipment (5) is connected with a wireless transmission module, and the wireless transmission module is in wireless connection with a handheld terminal.
5. A multidimensional people emotion analysis system as recited in claim 4, wherein: the voice signal processing algorithm comprises decibel recognition and keyword extraction, and the facial expression processing algorithm is mainly used for judging the current expression of a person according to the expression ratio on a facial image obtained by the image acquisition module (201).
6. A multidimensional people emotion analysis system as recited in claim 5, wherein: the wearable bracelet (102) is provided with a voice output module, and the voice output module is in signal connection with the emotion output equipment (5).
7. A multidimensional human emotion analysis method is characterized by comprising the following steps:
s1, obtaining facial expression information, heart rate information, blood oxygen information, body temperature information, activity range information, exercise step number information and sound information of the person through the data acquisition equipment (1) in cooperation with the service data processing equipment (2);
s2, the information is transmitted to the data cloud storage device (3), the data cloud storage device (3) extracts corresponding normal personnel information from the database (301) through the data extraction module (302), the data comparison module (303) performs data comparison on the acquired information and the large data information in the database, and meanwhile, the intelligent AI algorithm engine (4) is matched to perform verification on the data information for multiple times to obtain emotion information of the current detected personnel;
and S3, transmitting the obtained result to the emotion output device (5) and displaying or early warning on the emotion output device (5) according to the result.
8. The method of claim 7, wherein the emotion analysis method comprises: the database (301) is established by being obtained from the internet and can be subject to modifications and entries by the skilled person.
9. The method of claim 7, wherein the emotion analysis method comprises: the early warning mode comprises a buzzing alarm and an indicator lamp alarm.
10. The method of claim 7, wherein the emotion analysis method comprises: the intelligent AI algorithm engine (4) is connected with a deep learning module.
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| CN115730605A (en) * | 2022-11-21 | 2023-03-03 | 刘奕涵 | Data analysis method based on multi-dimensional information |
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Application publication date: 20210824 |