CN112633215A - Embedded image acquisition device for recognizing behavior and emotion of children - Google Patents
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Abstract
The invention discloses an embedded image acquisition device for identifying behaviors and emotions of children, which comprises a device main body, a base and a master control box, wherein the base is connected with the device main body through an adjusting column; a first display screen and a second display screen are embedded in the front end of the device main body, the second display screen is arranged below the first display screen, and a camera is arranged at the top end of the device main body; two motors are arranged inside the base, and brake shafts of the motors are fixedly connected with the bottom ends of the adjusting columns; two sleeves for connecting the adjusting columns are arranged in the device main body, and threads are arranged on the inner walls of the sleeves and the outer walls of the adjusting columns; the both sides of device main part all set up the embedded groove that is used for imbedding preset position. The invention can better and more conveniently acquire images and can more accurately recognize emotion.
Description
Technical Field
The invention relates to the field of image acquisition equipment, in particular to an embedded image acquisition device for recognizing behavior and emotion of children.
Background
Autism, also known as autism or autistic disorder, is a representative disease of pervasive developmental disorders. DSM-IV-TR classifies PDD into 5 types: autistic disorder, childhood disorganized disorder, asperger's syndrome, and unspecified PDD. Among them, autistic disorder and asperger syndrome are common. The morbidity reports of autism are different, the expression change of autistic children is small, emotion analysis needs to be carried out on the autistic children, and an image acquisition device needs to be used for acquiring facial image information for analysis when the emotion analysis is carried out.
The existing image acquisition device is highly fixed, so that the lower children with the height can not conveniently acquire images, the installation mode is single, the emotion recognition effect is not good enough, certain influence is brought to the use of the image acquisition device, and therefore the embedded image acquisition device for the emotion recognition of children behaviors is provided.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: how to solve current image acquisition device, it is highly fixed, lead to the lower children of height to gather the image not convenient enough to the mounting means is single, carries out emotion recognition's effect not good enough, has brought the problem of certain influence for image acquisition device's use, provides an embedded image acquisition device for children's action emotion recognition.
The invention solves the technical problems through the following technical scheme, and the device comprises a device main body, a base connected with the device main body through an adjusting column and a master control box fixedly arranged at the top end in the device main body;
a first display screen and a second display screen are embedded in the front end of the device main body, the second display screen is arranged below the first display screen, and a camera is arranged at the top end of the device main body;
two motors are arranged inside the base, and brake shafts of the motors are fixedly connected with the bottom ends of the adjusting columns;
two sleeves for connecting the adjusting columns are arranged in the device main body, and threads are arranged on the inner walls of the sleeves and the outer walls of the adjusting columns;
embedding grooves for embedding preset positions are formed in the two sides of the device main body;
the master control box comprises a data receiving module, a data processing module, a preset expression library, a data comparison module, a master control module and an instruction sending module;
the data receiving module is used for receiving the child face image information acquired by the camera, the data receiving module sends the received child face image information to the data processing module for processing, the data processing module processes the received child face image information to process a face image comparison feature, and the face image comparison feature is sent to the data comparison module;
the preset feature information of the child expression is prestored in the preset expression library, and the preset coefficient information of the child expression comprises a calmness coefficient, a happiness coefficient and a sadness coefficient;
the data comparison module extracts the obtained real-time face image comparison features, compares the extracted real-time face image comparison features with preset coefficient information of a child expression prestored in a preset expression library, matches the extracted real-time face image comparison features with the preset coefficient information of the child expression prestored in the preset expression library to obtain a matching result, the master control module generates result display information after the matching result is generated, the result display information is converted into a result display information instruction and then is sent to a second display screen by an instruction sending module, when the camera starts to collect data, the master control module generates movie playing information, and the movie playing information is converted into a movie playing instruction and then is sent to a first display screen;
the data processing module processes real-time child face image information and generates lifting information when face information is not found, and the lifting information is converted into a lifting instruction and then is sent to the motor by the instruction sending module.
Preferably, the bottom end of the device main body is in threaded connection with a plurality of hooks.
Preferably, the specific processing process of the real-time human face image contrast feature is as follows:
the method comprises the following steps: extracting the acquired child face image information, and extracting the clearest image from the acquired child face image information as a reference image;
step two: marking characteristic points, marking two outer mouth angles in the face image as a point A1 and a point A2, and marking the middle point of the lower lip as a point A3;
step three: drawing an arc line L1 by three characteristic points A1, A2 and A3;
step four: marking two canthi of the eye at one side as a point B1 and a point B2 respectively, marking the midpoint of the eye at one side as a point B3, and drawing an arc line L2 through three characteristic points B1, a point B2 and a point B3;
step five: marking two canthi of the eye on the other side as a point C1 and a point C2 respectively, marking the midpoint of the eye on the other side as a point C3, and drawing an arc line L3 through three characteristic points C1, a point C2 and a point C3;
step six: the obtained arc line L1, arc line L2 and arc line L3 are the real-time human face image contrast features.
Preferably, the specific alignment process of the data alignment module is as follows:
the method comprises the following steps: extracting the real-time facial image comparison features, and comparing the extracted real-time facial image comparison features with preset coefficient information of the child expression prestored in a preset expression library;
step two: comparing the real-time human face image comparison characteristics with a calmness coefficient, and generating a calmness evaluation result when the similarity of the real-time human face image comparison characteristics exceeds a preset value;
step three: comparing the real-time human face image comparison features with the happiness coefficients, and generating a happiness evaluation result when the similarity of the real-time human face image comparison features exceeds the preset similarity;
step four: comparing the real-time human face image comparison characteristics with the sadness coefficient, and generating a sadness evaluation result when the similarity of the real-time human face image comparison characteristics exceeds a preset value;
step five: and when any one of the calm evaluation result, the happy evaluation result and the sad evaluation result is generated, displaying the evaluation result on the second display screen.
Preferably, when the device is embedded into the preset position through the embedded groove, the lifting information is not generated.
Compared with the prior art, the invention has the following advantages: this an embedded image collection system for children's action emotion recognition, it can satisfy different installation demands to set up different mounting means, and can adjust its collection height according to children's height difference, the effectual shorter situation that can not gather its image information of avoiding children's height takes place, compare through the preset characteristic information that acquires the children's expression that better face image contrast characteristic prestores in with the preset expression storehouse simultaneously, thereby better more accurate emotion information who acquires children, make the device be worth using widely more.
Drawings
FIG. 1 is an overall block diagram of the present invention;
FIG. 2 is an internal view of the device body of the present invention;
FIG. 3 is a block diagram of the general control box structure of the present invention.
In the figure: 1. a device main body; 2. a base; 3. an adjustment column; 4. a first display screen; 5. a second display screen; 6. a master control box; 7. a camera; 8. a sleeve; 9. hooking; 10. a motor; 11. and a groove is embedded.
Detailed Description
The following examples are given for the detailed implementation and specific operation of the present invention, but the scope of the present invention is not limited to the following examples.
As shown in fig. 1 to 3, the present embodiment provides a technical solution: an embedded image acquisition device for identifying behaviors and emotions of children comprises a device main body 1, a base 2 connected with the device main body 1 through an adjusting column 3 and a master control box 6 fixedly arranged at the top end in the device main body 1;
the master control box 6 is used for controlling the device main body 1 to operate to collect face image information of the autistic children;
a first display screen 4 and a second display screen 5 are embedded in the front end of the device main body 1, the second display screen 5 is arranged below the first display screen 4, and a camera 7 is arranged at the top end of the device main body 1;
the first display screen 4 is used for playing film contents which can attract attention of children, so that the children can look at the device, and the camera 7 can acquire clearer face image information of the autistic children;
two motors 10 are arranged inside the base 2, and the braking shafts of the motors 10 are fixedly connected with the bottom ends of the adjusting columns 3;
two sleeves 8 for connecting the adjusting columns 3 are arranged inside the device main body 1, and threads are arranged on the inner walls of the sleeves 8 and the outer walls of the adjusting columns 3;
the two motors 10 run synchronously to drive the two adjusting columns 3 to rotate, so that the length of the two adjusting columns 3 in the sleeve 8 is changed to realize the purpose of adjusting the height of the device;
both sides of the device main body 1 are provided with embedded grooves 11 for embedding preset positions;
when the installation position of the device needs to be embedded into a wall body, the device is embedded into the wall body only by detaching the base 2 and the adjusting column 3 and embedding the slide rail preset in the installation groove into the embedding groove 11;
the master control box 6 comprises a data receiving module, a data processing module, a preset expression library, a data comparison module, a master control module and an instruction sending module;
the data receiving module is used for receiving the child face image information acquired by the camera 7, the data receiving module sends the received child face image information to the data processing module for processing, the data processing module processes the received child face image information to process a face image comparison feature, and the face image comparison feature is sent to the data comparison module;
the preset feature information of the child expression is prestored in the preset expression library, and the preset coefficient information of the child expression comprises a calmness coefficient, a happiness coefficient and a sadness coefficient;
the data comparison module extracts the obtained real-time face image comparison features, compares the extracted real-time face image comparison features with preset coefficient information of a child expression prestored in a preset expression library, matches the extracted real-time face image comparison features with the preset coefficient information of the child expression prestored in the preset expression library to obtain a matching result, the master control module generates result display information after the matching result is generated, the result display information is converted into a result display information instruction and then is sent to the second display screen 5 by the instruction sending module, when the camera 7 starts to collect data, the master control module generates film playing information, and the film playing information is converted into a film playing instruction and then is sent to the first display screen 4;
the data processing module processes real-time child face image information and generates lifting information when face information is not found, and the lifting information is converted into a lifting instruction and then is sent to the motor 10 by the instruction sending module.
The bottom end of the device main body 1 is in threaded connection with a plurality of hooks 9, and the hooks 9 are used for hanging and placing hanging objects for attracting children.
The specific processing process of the real-time human face image contrast characteristic is as follows:
the method comprises the following steps: extracting the acquired child face image information, and extracting the clearest image from the acquired child face image information as a reference image;
step two: marking characteristic points, marking two outer mouth angles in the face image as a point A1 and a point A2, and marking the middle point of the lower lip as a point A3;
step three: drawing an arc line L1 by three characteristic points A1, A2 and A3;
step four: marking two canthi of the eye at one side as a point B1 and a point B2 respectively, marking the midpoint of the eye at one side as a point B3, and drawing an arc line L2 through three characteristic points B1, a point B2 and a point B3;
step five: marking two canthi of the eye on the other side as a point C1 and a point C2 respectively, marking the midpoint of the eye on the other side as a point C3, and drawing an arc line L3 through three characteristic points C1, a point C2 and a point C3;
step six: the obtained arc line L1, arc line L2 and arc line L3 are the real-time human face image contrast features.
The specific alignment process of the data alignment module is as follows:
the method comprises the following steps: extracting the real-time facial image comparison features, and comparing the extracted real-time facial image comparison features with preset coefficient information of the child expression prestored in a preset expression library;
step two: comparing the real-time human face image comparison characteristics with a calmness coefficient, and generating a calmness evaluation result when the similarity of the real-time human face image comparison characteristics exceeds a preset value;
step three: comparing the real-time human face image comparison features with the happiness coefficients, and generating a happiness evaluation result when the similarity of the real-time human face image comparison features exceeds the preset similarity;
step four: comparing the real-time human face image comparison characteristics with the sadness coefficient, and generating a sadness evaluation result when the similarity of the real-time human face image comparison characteristics exceeds a preset value;
step five: and when any one of the calm evaluation result, the happy evaluation result and the sad evaluation result is generated, displaying the evaluation result on the second display screen.
When the device is embedded into the preset position through the embedded groove 11, the lifting information is not generated.
In summary, when the device is used, after the device is installed and fixed, a child with autism is brought to a device, at this time, a first display screen 4 plays a movie content capable of attracting attention of the child, so that the child can look at the device, a camera 7 collects face image information of the child with autism, a data receiving module is used for receiving the face image information of the child collected by the camera 7, the data receiving module sends the received face image information of the child to a data processing module for processing, the data processing module processes the received face image information of the child and processes a face image contrast feature, the face image contrast feature is sent to a data comparison module, preset feature information of child expressions is prestored in a preset expression library, the preset coefficient information of the child expressions comprises a calm coefficient, a happy coefficient and a sad coefficient, the data comparison module extracts the obtained real-time face image contrast feature and the face image contrast feature prestored in the preset expression library The preset coefficient information of the child expression is compared and matched to obtain a matching result, after the matching result is generated, the master control module generates result display information, the result display information is converted into a result display information instruction and then is sent to the second display screen 5 by the instruction sending module, when the camera 7 starts to collect data, the master control module generates film playing information, the film playing information is converted into a film playing instruction and then is sent to the first display screen 4, the data processing module processes real-time child face image information and does not find face information, lifting information is generated, the lifting information is converted into a lifting instruction and then is sent to the motors 10 by the instruction sending module, the two motors 10 synchronously operate to drive the two adjusting columns 3 to rotate, and therefore the length of the two adjusting columns 3 in the sleeve 8 is changed to achieve the purpose of adjusting the height of the device.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (5)
1. An embedded image acquisition device for recognizing behavior and emotion of children is characterized by comprising a device main body (1), a base (2) connected with the device main body (1) through an adjusting column (3), and a main control box (6) fixedly installed at the top end in the device main body (1);
a first display screen (4) and a second display screen (5) are inlaid at the front end of the device main body (1), the second display screen (5) is arranged below the first display screen (4), and a camera (7) is arranged at the top end of the device main body (1);
two motors (10) are arranged inside the base (2), and brake shafts of the motors (10) are fixedly connected with the bottom ends of the adjusting columns (3);
two sleeves (8) used for being connected with the adjusting columns (3) are arranged inside the device main body (1), and threads are arranged on the inner walls of the sleeves (8) and the outer walls of the adjusting columns (3);
both sides of the device main body (1) are provided with embedded grooves (11) for embedding preset positions;
the master control box (6) comprises a data receiving module, a data processing module, a preset expression library, a data comparison module, a master control module and an instruction sending module;
the data receiving module is used for receiving the child face image information collected by the camera (7), the data receiving module sends the received child face image information to the data processing module for processing, the data processing module processes the received child face image information to process face image comparison characteristics, and the face image comparison characteristics are sent to the data comparison module;
the preset feature information of the child expression is prestored in the preset expression library, and the preset coefficient information of the child expression comprises a calmness coefficient, a happiness coefficient and a sadness coefficient;
the data comparison module extracts the obtained real-time face image comparison features, compares the extracted real-time face image comparison features with preset coefficient information of a child expression prestored in a preset expression library, matches the extracted real-time face image comparison features with the preset coefficient information of the child expression prestored in the preset expression library to obtain a matching result, the master control module generates result display information after the matching result is generated, the result display information is converted into a result display information instruction and then is sent to a second display screen (5) by an instruction sending module, when the camera (7) starts to collect data, the master control module generates movie playing information, and the movie playing information is converted into a movie playing instruction and then is sent to a first display screen (4);
the data processing module processes real-time child face image information and generates lifting information when face information is not found, and the lifting information is converted into a lifting instruction and then is sent to the motor (10) by the instruction sending module.
2. The embedded image capturing device for emotion recognition of children's behavior as claimed in claim 1, wherein: the bottom end of the device main body (1) is in threaded connection with a plurality of hooks (9).
3. The embedded image capturing device for emotion recognition of children's behavior as claimed in claim 1, wherein: the specific processing process of the real-time human face image contrast characteristic is as follows:
the method comprises the following steps: extracting the acquired child face image information, and extracting the clearest image from the acquired child face image information as a reference image;
step two: marking characteristic points, marking two outer mouth angles in the face image as a point A1 and a point A2, and marking the middle point of the lower lip as a point A3;
step three: drawing an arc line L1 by three characteristic points A1, A2 and A3;
step four: marking two canthi of the eye at one side as a point B1 and a point B2 respectively, marking the midpoint of the eye at one side as a point B3, and drawing an arc line L2 through three characteristic points B1, a point B2 and a point B3;
step five: marking two canthi of the eye on the other side as a point C1 and a point C2 respectively, marking the midpoint of the eye on the other side as a point C3, and drawing an arc line L3 through three characteristic points C1, a point C2 and a point C3;
step six: the obtained arc line L1, arc line L2 and arc line L3 are the real-time human face image contrast features.
4. The embedded image capturing device for emotion recognition of children's behavior as claimed in claim 1, wherein: the specific comparison process of the data comparison module is as follows:
the method comprises the following steps: extracting the real-time facial image comparison features, and comparing the extracted real-time facial image comparison features with preset coefficient information of the child expression prestored in a preset expression library;
step two: comparing the real-time human face image comparison characteristics with a calmness coefficient, and generating a calmness evaluation result when the similarity of the real-time human face image comparison characteristics exceeds a preset value;
step three: comparing the real-time human face image comparison features with the happiness coefficients, and generating a happiness evaluation result when the similarity of the real-time human face image comparison features exceeds the preset similarity;
step four: comparing the real-time human face image comparison characteristics with the sadness coefficient, and generating a sadness evaluation result when the similarity of the real-time human face image comparison characteristics exceeds a preset value;
step five: and when any one of the calm evaluation result, the happy evaluation result and the sad evaluation result is generated, displaying the evaluation result on the second display screen.
5. The embedded image capturing device for emotion recognition of children's behavior as claimed in claim 1, wherein: when the device is embedded into a preset position through the embedding groove (11), the lifting information is not generated any more.
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| WO2020224126A1 (en) * | 2019-05-06 | 2020-11-12 | 平安科技（深圳）有限公司 | Facial recognition-based adaptive adjustment method, system and readable storage medium |
| CN110889908A (en) * | 2019-12-10 | 2020-03-17 | 吴仁超 | Intelligent sign-in system integrating face recognition and data analysis |
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