1. A method for evaluating the psychological impact of an image on a person, comprising presenting the image to the user on a computing device from a remote server, collecting biological data using IoT based sensing unit attached to the user; utilizing a machine learning infrastructure to analyzed the physiological data to determine the emotional response of the user; and transmitting an alert to a second computing device.

2. The method of claim 1, further comprising providing feedback to the person based on the determined impact of the presented images.

3. The method of claim 1, further comprising recommending images to the person based on the determined impact of the presented images.

4. The method of claim 1, wherein the biological data comprises one or more of the following: heart rate, blood pressure, EEG, pupil dilation/contraction level, skin conductance, and facial expressions.

5. The method of claim 1, wherein the machine learning infrastructure generates a prediction model based pre-stored images of image database, wherein the each of the image is tagged with psychological impact.

6. The method of claim 1, further comprising identifying specific features of the presented images that have the most impact on the person's psychology.

7. A system for evaluating the psychological impact of an image on a person, a computing device to receive the image from a remote server, wherein the computing device is arranged to presenting the image to the user; a wearable sensing device is arranged to collect biological data of the user; a control center is arranged to utilize a machine learning infrastructure to analysed the physiological data to determine the emotional response of the user; and a data transmission link to transmit an alert to a second computing device.

8. The system of claim 7, wherein the biological data comprises one or more of the following: heart rate, blood pressure, EEG, pupil dilation/contraction level, skin conductance, and facial expressions.

9. The system of claim 7, wherein the computing device is an augmented reality device or virtual reality device.   IMPACT ANALYSIS OF IMAGE ON PSYCHOLOGY Abstract A method for evaluating the psychological impact of an image on a person may be included in embodiments of the present disclosure. This method may involve presenting the image to the user on a computing device from a remote server, as well as collecting biological data using an Internet of Things (IoT) based sensing unit that is attached to the user. In some embodiments, the method may also include a computer programme. In certain embodiments, the analysis of the user's physiological data in order to establish the user's emotional reaction may be carried out with the assistance of a machine learning infrastructure. In certain implementations, one of the steps involves sending a notification to another computer device. , Claims:Claims :

1. A method for evaluating the psychological impact of an image on a person, comprising presenting the image to the user on a computing device from a remote server, collecting biological data using IoT based sensing unit attached to the user; utilizing a machine learning infrastructure to analyzed the physiological data to determine the emotional response of the user; and transmitting an alert to a second computing device.

2. The method of claim 1, further comprising providing feedback to the person based on the determined impact of the presented images.

3. The method of claim 1, further comprising recommending images to the person based on the determined impact of the presented images.

4. The method of claim 1, wherein the biological data comprises one or more of the following: heart rate, blood pressure, EEG, pupil dilation/contraction level, skin conductance, and facial expressions.

5. The method of claim 1, wherein the machine learning infrastructure generates a prediction model based pre-stored images of image database, wherein the each of the image is tagged with psychological impact.

6. The method of claim 1, further comprising identifying specific features of the presented images that have the most impact on the person's psychology.

7. A system for evaluating the psychological impact of an image on a person, a computing device to receive the image from a remote server, wherein the computing device is arranged to presenting the image to the user; a wearable sensing device is arranged to collect biological data of the user; a control center is arranged to utilize a machine learning infrastructure to analysed the physiological data to determine the emotional response of the user; and a data transmission link to transmit an alert to a second computing device.

8. The system of claim 7, wherein the biological data comprises one or more of the following: heart rate, blood pressure, EEG, pupil dilation/contraction level, skin conductance, and facial expressions.

9. The system of claim 7, wherein the computing device is an augmented reality device or virtual reality device.

Description:IMPACT ANALYSIS OF IMAGE ON PSYCHOLOGY
Field of the Invention
[0001] The present invention relates generally to image-processing, more particularly to a system and method for assessing the psychological impact by an image.

Background
[0002] The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] Pictures have been a ubiquitous part of human life since ancient times. From cave paintings to modern-day photography and social media, pictures have the power to evoke emotions, memories, and thoughts. In recent years, the impact of pictures on psychology has gained increasing attention from researchers and practitioners. The ability of pictures to influence our thoughts, emotions, and behaviors has implications for a wide range of fields, including advertising, social media, healthcare, and education.
[0004] Pictures can impact psychology in several ways. One of the most common ways pictures influence psychology is through emotional responses. Pictures can elicit a range of emotions, from happiness and joy to sadness and anger. Research has shown that the emotional content of pictures can have a significant impact on psychological well-being. For example, viewing pictures of nature has been shown to reduce stress and anxiety levels.
[0005] Pictures can also impact cognitive processes such as attention and memory. Pictures that are visually complex or that contain vivid colors or patterns can capture attention and improve memory recall. This phenomenon is known as the picture superiority effect. Additionally, pictures can enhance learning by providing visual representations of concepts and information.
[0006] Furthermore, pictures can also influence behavior. Advertisements that use pictures of attractive models or celebrities can influence purchasing behavior. Social media platforms that use pictures can impact users' self-esteem and body image, leading to negative psychological outcomes such as anxiety, depression, and eating disorders.
[0007] The impact of images on psychology is a topic that has been missed in studies extensively in the field of psychology. Images can have a powerful impact on people's emotions, attitudes, and behaviours, and researchers have investigated this impact in a variety of contexts, including advertising, media, and art.
[0008] Various technological solutions are disclosed in patent literature. Few of the exemplary documents are discussed below.
[0009] KR102294741B1 (By: J & L) relates to a picture-based psychological test method through deep learning and to enabling non-face-to-face picture-based psychological analysis and solutions. The picture-based psychological test method comprises the following steps: extracting component data from a picture to be analyzed; labeling the extracted component data; extracting and repeatedly labeling the component data by augmenting and repeatedly learning the analysis the picture to be analyzed; and deriving psychological diagnosis results according to the picture to be analyzed based on the extracted component data.
[00010] CN114333503A ( By: ANHUI UNIVERSITY OF SCIENCE & TECHNOLOGY) relates to the technical field of psychological testing, in particular to college student psychological testing auxiliary equipment and a testing method. The chin rest part is fixedly mounted on the left side of the upper surface of the box body; the lens is arranged on the right side of the chin rest part; the number of the supporting legs is four, and the four supporting legs are fixedly installed at the four corners of the lower surface of the box body; and a switching mechanism. The bottom of the lens is slidably connected with the box body by arranging a moving mechanism, a switching mechanism capable of preventing the drawing from wrinkling is arranged on the right side in the box body, the switching mechanism comprises a square cylinder, the upper surface and the lower surface of the square cylinder are open, and evenly-distributed partition plates are fixedly connected to the inner surface of the square cylinder; compared with a comparison patent, the switching mechanism can switch the test picture without winding the test picture, so that the test picture is prevented from wrinkling due to winding, and the pattern viewing effect on the test picture is improved.
[00011] US20200405210A1 ( By: BEIJING HUANDU INSTITUTE OF WISDOM MIND TECHNOLOGY) relates to a stimulus information compiling method for tests, characterized in that, the stimulus information compiling method comprises the following steps: selecting and using stimulus information which follows a statistics-normal distribution and is analyzed and measured by validity to form a stimulus information database (Q); reasonably setting at least one stimulus information to be a test including at least one test sequence, for a subject to make a selection according to his or her personal interests; comparing a test score of the subject with that of a valid sample person in a normal distribution model, thereby confirming the distribution of the subject in each cognitive dimension. The present invention compares a test score of the subject with that of a valid sample person in a normal distribution model, thereby confirming the test result of the subject.
[00012] KR20140053426A ( By: HUNO) Discloses is a method for providing a three-dimensional psychological test service. The method for providing the 3D psychological test service according to the present invention, which is performed by a psychological test server connected with a plurality of terminals through a telecommunication network, includes (a) transmitting psychological test questions to a psychological test terminal and receiving information of psychological test answers corresponding to the psychological test questions, wherein the plurality of terminals include the psychological test terminal, and (b) analyzing the information of the psychological test answers to determine a characteristic type corresponding to the information of the psychological test answers. The characteristic features are classified into three dimensions. Each dimension has two characteristic attributes. The characteristic type may be one of eight characteristic types made by selecting one from the three-dimensional attributes. According to the present invention, information of psychological test results according to eight characteristic types made to minimize disadvantages in the simplex of four characteristic types and the complexity of 16 characteristic types is provided on line, so that the psychological test service can be effective and exact.
[00013] Overall, the impact of images on psychology is a complex and multifaceted topic that has implications for a variety of fields. Further disclosure proposes impact analysis of image on psychology.
[00014] All references, including publications, patent applications, and patents, cited herein are hereby incorporated by reference to the same extent as if each reference were individually and specifically indicated to be incorporated by reference and were set forth in its entirety herein.

Summary
[00015] The present invention relates generally to image-processing, more particularly to a system and method for assessing the psychological impact by an image.
[00016] This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This Summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter. Furthermore, the claimed subject matter is not limited to implementations that solve any or all disadvantages noted in any part of this disclosure.
[00017] The following paragraphs provide additional support for the claims of the subject application.
[00018] Embodiments of the present disclosure may include a method for evaluating the psychological impact of an image on a person, including presenting the image to the user on a computing device from a remote server, collecting biological data using IoT based sensing unit attached to the user. Embodiments may also include utilizing a machine learning infrastructure to analyzed the physiological data to determine the emotional response of the user. Embodiments may also include transmitting an alert to a second computing device.
[00019] In some embodiments, the method may include providing feedback to the person based on the determined impact of the presented images. In some embodiments, the method may include recommending images to the person based on the determined impact of the presented images. In some embodiments, the biological data may include one or more of the following heart rate, blood pressure, EEG, pupil dilation/contraction level, skin conductance, and facial expressions.
[00020] In some embodiments, the machine learning infrastructure generates a prediction model based pre-stored images of image database. In some embodiments, the each of the image may be tagged with psychological impact. In some embodiments, the method may include identifying specific features of the presented images that have the most impact on the person's psychology.
[00021] Embodiments of the present disclosure may also include a system for evaluating the psychological impact of an image on a person, a computing device to receive the image from a remote server. In some embodiments, the computing device may be arranged to presenting the image to the user. Embodiments may also include a wearable sensing device may be arranged to collect biological data of the user. Embodiments may also include a control center may be arranged to utilize a machine learning infrastructure to analysed the physiological data to determine the emotional response of the user. Embodiments may also include a data transmission link to transmit an alert to a second computing device. In some embodiments, the biological data may include one or more of the following heart rate, blood pressure, EEG, pupil dilation/contraction level, skin conductance, and facial expressions. In some embodiments, the computing device may be an augmented reality device or virtual reality device.

Brief Description of the Drawings
[00022] Embodiments will now be described in more detail in relation to the enclosed drawings, in which:
[00023] FIG. 1 is a flowchart illustrating a method for evaluating the psychological impact of an image on a person, according to some embodiments of the present disclosure.
[00024] FIG. 2 is a block diagram illustrating a system, according to some embodiments of the present disclosure.
[00025] FIG. 3 is a block diagram further illustrating the system from FIG. 2, according to some embodiments of the present disclosure.
Detailed Description
[00026] The following is a detailed description of exemplary embodiments to illustrate the principles of the invention. The embodiments are provided to illustrate aspects of the invention, but the invention is not limited to any embodiment. The scope of the invention encompasses numerous alternatives, modifications and equivalent; it is limited only by the claims.
[00027] Numerous specific details are set forth in the following description in order to provide a thorough understanding of the invention. However, the invention may be practiced according to the claims without some or all of these specific details. For the purpose of clarity, technical material that is known in the technical fields related to the invention has not been described in detail so that the invention is not unnecessarily obscured.
[00028] The present invention relates generally to image-processing, more particularly to a system and method for assessing the psychological impact by an image.
[00029] FIG. 1 is a flowchart that describes a method for evaluating the psychological impact of an image on a person, according to some embodiments of the present disclosure. In some embodiments, at 110, the method may include presenting the image to the user on a computing device from a remote server, collecting biological data using IoT based sensing unit attached to the user. At 120, the method may include utilizing a machine learning infrastructure to analyzed the physiological data to determine the emotional response of the user. At 130, the method may include transmitting an alert to a second computing device.
[00030] In some embodiments, the method may include providing feedback to the person based on the determined impact of the presented images. In some embodiments, the method may include recommending images to the person based on the determined impact of the presented images. In some embodiments, the biological data may comprise one or more of the following, the method may include performing one or more additional steps. Heart rate, blood pressure, EEG, pupil dilation/contraction level, skin conductance, and facial expressions. In some embodiments, the machine learning infrastructure may generate a prediction model based pre-stored images of image database. The each of the image may be tagged with psychological impact. In some embodiments, the method may include identifying specific features of the presented images that. The most impact on the person's psychology.
[00031] FIG. 2 is a block diagram that describes a system 200, according to some embodiments of the present disclosure. In some embodiments, the system 200 may include a wearable sensing device 210 may be arranged to collect biological data 320 of the user, a control center 220 may be arranged to utilize a machine learning infrastructure to analysed the physiological data to determine the emotional response of the user, and a data transmission link 230 to transmit an alert to a second computing device. The computing device may be arranged to presenting the image to the user. In some embodiments, the computing device may be an augmented reality device or virtual reality device.
[00032] FIG. 3 is a block diagram that further describes the system 200 from FIG. 2, according to some embodiments of the present disclosure. In some embodiments, the biological data 320 may include heart rate 321, blood pressure 322, EEG 323, pupil dilation/contraction level 324, skin conductance 325, and facial expressions 326.
[00033] The present disclosure may include embodiments of a method for evaluating the psychological impact of an image on a person. This method may include presenting the image to the user on a computing device from a remote server, and collecting biological data using an IoT-based sensing unit that is attached to the user. In some embodiments, the method may also include presenting the image to the user on a computer. Embodiments may additionally involve the use of a machine learning infrastructure for the purpose of analysing the user's physiological data in order to ascertain the user's emotional reaction. In certain implementations, one of the steps involves sending a notification to another computer device.
[00034] In some implementations of the approach, it is possible for it to include giving the individual feedback based on the effect that was assessed to have been caused by the displayed visuals. In some implementations of the approach, it is possible for it to include proposing photos to the individual depending on the effect that is assessed to have been caused by the previously provided images. The biological data may in certain implementations include the following but are not limited to: heart rate, blood pressure, EEG, pupil dilation/contraction level, skin conductivity, and facial expressions.
[00035] In some implementations, the machine learning infrastructure is responsible for generating a prediction model based on the pre-stored photos in the image database. It's possible that each picture may be marked with its own unique psychological influence in some implementations. In some implementations of the procedure, one of the steps may include determining which aspects of the pictures that are being displayed have the most influence on the person's psychological state.
[00036] The current disclosure may further comprise embodiments of a system for analysing the psychological influence that a picture has on a person, as well as embodiments of a computer device that receives the image from a distant server. Depending on the specific implementation, the computer device could be set up such that it shows the picture to the user. In certain embodiments, there is also the possibility of including a wearable sensing device that may be structured to capture the user's biological data. In certain embodiments, there is also the possibility of including a control centre that is configured to make use of a machine learning infrastructure in order to analyse the user's physiological data and identify their emotional reaction. A data transmission connection may also be included in certain embodiments. This link is used to send an alarm to a second computer device. The biological data may in certain implementations include the following but are not limited to: heart rate, blood pressure, EEG, pupil dilation/contraction level, skin conductivity, and facial expressions. It's possible that the computer device may be something like an augmented reality or virtual reality device in certain implementations.
[00037] One of the primary ways in which pictures impact psychology is through attention. Pictures grab our attention much faster than text, and they can keep us engaged for longer periods. This is because our brains process visual information much faster than text. As a result, pictures can help us focus and concentrate on a particular subject, improving our memory and recall.
[00038] Pictures can also elicit a range of emotions, including happiness, sadness, anger, and fear. This is because visual stimuli can trigger an emotional response in the brain, which can influence our mood and behavior. For example, a picture of a smiling baby can make us feel happy, while a picture of a disaster can make us feel sad or angry.
[00039] Pictures can also impact our perception of reality. The way we perceive the world is largely based on our experiences and beliefs, and pictures can influence these perceptions. For example, a picture of a person from a particular race or culture can reinforce stereotypes and biases, while a picture of a diverse group of people can challenge these perceptions and promote inclusivity.
[00040] Pictures can also improve memory retention. When someone sees a picture, our brains create a visual memory that is much more vivid and memorable than text-based information. This is because pictures can activate multiple regions of the brain, including the visual cortex, which can enhance memory recall.
[00041] Finally, pictures can be a powerful tool for persuasion. Advertisers and marketers often use pictures to influence our attitudes and behaviors towards a product or service. For example, a picture of a happy family enjoying a meal can convince us to buy a particular brand of food, while a picture of a beautiful landscape can encourage us to book a vacation.
[00042] A number of implementations have been described. Nevertheless, various modifications may be made without departing from the spirit and scope of the invention. In addition, the logic flows depicted in the figures do not require the particular order shown, or sequential order, to achieve desirable results. In addition, other steps may be provided, or steps may be eliminated, from the described flows, and other components may be added to, or removed from, the described systems. Accordingly, other implementations are within the scope of the following claims.
[00043] Various techniques may be described herein in the general context of software, hardware elements, or program modules. Generally, such modules include routines, programs, objects, elements, components, data structures, and so forth that perform particular tasks or implement particular abstract data types. The terms module, functionality, and component as used herein generally represent software, firmware, hardware, or a combination thereof. The features of the techniques described herein are platform-independent, meaning that the techniques may be implemented on a variety of commercial computing platforms having a variety of processors Executable instructions stored on the computer-readable media or memory can include, for example, an operating system, a data management framework , and/or other modules, programs, or applications that are loadable and executable by the processor(s) or any appropriate hardware logic components/CPU(s).
[00044] It will be obvious to a person skilled in the art that, as the technology advances, the inventive concept can be implemented in various ways. The above described embodiments are given for describing rather than limiting the disclosure, and it is to be understood that modifications and variations may be resorted to without departing from the spirit and scope of the disclosure as those skilled in the art readily understand. Such modifications and variations are considered to be within the scope of the disclosure and the appended claims. The protection scope of the disclosure is defined by the accompanying claims.
[00045] Conditional language such as, among others, include, including, comprise, comprising, can, could, might or may, unless specifically stated otherwise, is understood within the context to present that certain examples include, while other examples do not include, certain features, elements and/or steps. Thus, such conditional language is not generally intended to imply that certain features, elements and/or steps are in any way required for one or more examples or that one or more examples necessarily include logic for deciding, with or without user input or prompting, whether certain features, elements and/or steps are included or are to be performed in any particular example. Conjunctive language such as the phrase at least one of X, Y or Z, unless specifically stated otherwise, is to be understood to present that an item, term, etc. may be any of X, Y, or Z, or a combination or sub-combination thereof. As described above, the exemplary embodiment provides both a method and corresponding apparatus consisting of various modules providing functionality for performing the steps of the method. The modules/engines may be im
[00046] plemented as hardware (embodied in one or more chips including an integrated circuit such as an application specific integrated circuit), or may be implemented as software or firmware for execution by a computer processor. In particular, in the case of firmware or software, the exemplary embodiment can be provided as a computer program product including a computer readable storage structure embodying computer program code (i.e., software or firmware) thereon for execution by the computer processor.
[00047] Modifications, additions, or omissions may be made to the systems and apparatuses described herein without departing from the scope of the disclosure. The components of the systems and apparatuses may be integrated or separated. Moreover, the operations of the systems and apparatuses may be performed by more, fewer, or other components. Additionally, operations of the systems and apparatuses may be performed using any suitable logic comprising software, hardware, and/or other logic. As used in this document, each refers to each member of a set or each member of a subset of a set.
[00048] Many different embodiments have been disclosed herein, in connection with the above description and the drawings. It will be understood that it would be unduly repetitious and obfuscating to literally describe and illustrate every combination and sub-combination of these embodiments. Accordingly, all embodiments may be combined in any way and/or combination, and the present specification, including the drawings, shall be construed to constitute a complete written description of all combinations and sub-combinations of the embodiments described herein, and of the manner and process of making and using them, and shall support claims to any such combination or sub-combination.
[00049] The above description is intended to be illustrative, and not restrictive. Although the present disclosure has been described with references to specific illustrative examples and implementations, it will be recognized that the present disclosure is not limited to the examples and implementations described. The scope of the disclosure should be determined with reference to the following claims, along with the full scope of equivalents to which the claims are entitled.

Claims
I/We Claim:
1. A method for evaluating the psychological impact of an image on a person, comprising presenting the image to the user on a computing device from a remote server, collecting biological data using IoT based sensing unit attached to the user; utilizing a machine learning infrastructure to analyzed the physiological data to determine the emotional response of the user; and transmitting an alert to a second computing device.

2. The method of claim 1, further comprising providing feedback to the person based on the determined impact of the presented images.

3. The method of claim 1, further comprising recommending images to the person based on the determined impact of the presented images.

4. The method of claim 1, wherein the biological data comprises one or more of the following: heart rate, blood pressure, EEG, pupil dilation/contraction level, skin conductance, and facial expressions.

5. The method of claim 1, wherein the machine learning infrastructure generates a prediction model based pre-stored images of image database, wherein the each of the image is tagged with psychological impact.

6. The method of claim 1, further comprising identifying specific features of the presented images that have the most impact on the person's psychology.

7. A system for evaluating the psychological impact of an image on a person, a computing device to receive the image from a remote server, wherein the computing device is arranged to presenting the image to the user; a wearable sensing device is arranged to collect biological data of the user; a control center is arranged to utilize a machine learning infrastructure to analysed the physiological data to determine the emotional response of the user; and a data transmission link to transmit an alert to a second computing device.

8. The system of claim 7, wherein the biological data comprises one or more of the following: heart rate, blood pressure, EEG, pupil dilation/contraction level, skin conductance, and facial expressions.

9. The system of claim 7, wherein the computing device is an augmented reality device or virtual reality device.
 

IMPACT ANALYSIS OF IMAGE ON PSYCHOLOGY
Abstract
A method for evaluating the psychological impact of an image on a person may be included in embodiments of the present disclosure. This method may involve presenting the image to the user on a computing device from a remote server, as well as collecting biological data using an Internet of Things (IoT) based sensing unit that is attached to the user. In some embodiments, the method may also include a computer programme. In certain embodiments, the analysis of the user's physiological data in order to establish the user's emotional reaction may be carried out with the assistance of a machine learning infrastructure. In certain implementations, one of the steps involves sending a notification to another computer device. , Claims:Claims
I/We Claim:
1. A method for evaluating the psychological impact of an image on a person, comprising presenting the image to the user on a computing device from a remote server, collecting biological data using IoT based sensing unit attached to the user; utilizing a machine learning infrastructure to analyzed the physiological data to determine the emotional response of the user; and transmitting an alert to a second computing device.

2. The method of claim 1, further comprising providing feedback to the person based on the determined impact of the presented images.

3. The method of claim 1, further comprising recommending images to the person based on the determined impact of the presented images.

4. The method of claim 1, wherein the biological data comprises one or more of the following: heart rate, blood pressure, EEG, pupil dilation/contraction level, skin conductance, and facial expressions.

5. The method of claim 1, wherein the machine learning infrastructure generates a prediction model based pre-stored images of image database, wherein the each of the image is tagged with psychological impact.

6. The method of claim 1, further comprising identifying specific features of the presented images that have the most impact on the person's psychology.

7. A system for evaluating the psychological impact of an image on a person, a computing device to receive the image from a remote server, wherein the computing device is arranged to presenting the image to the user; a wearable sensing device is arranged to collect biological data of the user; a control center is arranged to utilize a machine learning infrastructure to analysed the physiological data to determine the emotional response of the user; and a data transmission link to transmit an alert to a second computing device.

8. The system of claim 7, wherein the biological data comprises one or more of the following: heart rate, blood pressure, EEG, pupil dilation/contraction level, skin conductance, and facial expressions.

9. The system of claim 7, wherein the computing device is an augmented reality device or virtual reality device.