ART PSYCHOLOGICAL ANALYSIS APPARATUS USING VOICE, TEXT, AND PICTURE DATA AND ART PSYCHOLOGICAL ANALYSIS METHOD USING THE SAME

    公开(公告)号:US20230346280A1

    公开(公告)日:2023-11-02

    申请号:US18350826

    申请日:2023-07-12

    发明人: Ji-hoon KIM

    摘要: Provided is an art psychological analysis apparatus using voice, text, and picture data which analyzes an emotion of a test taker using voice data, text data, and picture data extracted from a voice of the test taker at the time of the art psychological test and analyzes a test taker’s personality using a meaningful picture subject to understand the psychology and an art psychological analysis method using the same. The art psychological analysis apparatus using voice, a text, and picture data may include a user interface for providing an interaction environment to a user who is a test taker, a data extraction unit which extracts voice data from a voice of the user input through the user interface during an art psychological test and extracts text data from the voice data, an emotion analysis unit which analyzes an emotion of the user from picture data input by the user through the user interface using the voice data and text data extracted from the data extraction unit, a personality analysis unit which analyzes a personality of the user according to a picture subject of the picture data input by the user together with the picture data, through the user interface, a psychological state analysis unit which analyzes a psychological state of the user based on the emotion of the user analyzed by the emotion analysis unit and the personality of the user analyzed by the personality analysis unit, and a database which stores information about the user’s psychological state analyzed by the psychological state analysis unit.

    ARTIFICIAL INTELLIGENCE SYSTEM THAT COLLECTS INTERACTIVE PICTURE DATA FOR BUILDING ARTIFICIAL INTELLIGENCE DATA AND ANALYZES CORRELATION BETWEEN ART COMPETENCY AND ACADEMIC ACHIEVEMENT

    公开(公告)号:US20230351199A1

    公开(公告)日:2023-11-02

    申请号:US18350956

    申请日:2023-07-12

    IPC分类号: G06N3/091 G06N3/045

    CPC分类号: G06N3/091 G06N3/045

    摘要: The present disclosure relates to a technique that collects picture data created by a user and predicts an academic achievement of the user through the picture data and an artificial intelligence system that collects interactive picture data for building artificial intelligence data and analyzes correlation between an art competency and an academic achievement according to an exemplary embodiment of the present disclosure includes a picture data collector which provides an interactive environment to a user to induce the user to perform a process of labeling an object included in picture data created by the user and collects picture data including an object whose class is annotated by the labeling process; an academic achievement prediction unit which evaluates an art competency of the user using the picture data and predicts an academic achievement of the user through a learning competency with a high correlation with an art competency of the user; and a database in which picture data to be used to evaluate an art competency of the user by the academic achievement prediction unit is stored.

    ARTIFICIAL INTELLIGENCE SYSTEM TO PROVIDE SYNERGISTIC EDUCATION LINKED TO DRAWING SKILL EVALUATION AND ART EDUCATION AND WRITING EDUCATION

    公开(公告)号:US20230351907A1

    公开(公告)日:2023-11-02

    申请号:US18350993

    申请日:2023-07-12

    IPC分类号: G09B5/02

    CPC分类号: G09B5/02

    摘要: An artificial intelligence to provide a synergistic education linked to drawing skill evaluation and an art education and a writing education according to an exemplary embodiment of the present disclosure may include a communication unit, a user interface for providing an interactional environment to a user who is a learner, and receiving, through the communication unit, picture data which is created by a second user who is an educator to provide to the user, an art competency evaluation unit which is trained to present a picture subject about the picture data to the user as a question and evaluate an art competency of the user with an art competency score which is calculated by analyzing whether picture data created by the user is picture data in accordance with the picture subject, a picture similarity evaluation unit which is trained to present the picture data of the second user to the user for guiding the user, extract features of the picture data created by the user and picture data of the second user, and evaluate a picture similarity between the picture data created by the user and the picture data of the second user, and a keyword and feature extraction unit which is trained to analyze a document created by the user to include a text and picture data to perform a synergistic education linked to an art education and a writing education, extract a core keyword in the text and an object of picture data corresponding to the core keyword, and exchange the feedback of the core keyword and the object with the user.

    META INFORMATION EXTRACTION DEVICE OF OBJECT FOR ARTIFICIAL INTELLIGENCE ART PSYCHOLOGICAL TEST AND ART PSYCHOLOGICAL ANALYSIS SYSTEM AND METHOD USING THE SAME

    公开(公告)号:US20230352177A1

    公开(公告)日:2023-11-02

    申请号:US18350919

    申请日:2023-07-12

    IPC分类号: G16H50/20

    CPC分类号: G16H50/20

    摘要: Provided is a meta information extraction device of an object for artificial intelligence art psychological test and an art psychological analysis system and method using the same. The meta information extraction device extracts an object and meta information of the object from picture data by means of training of an artificial intelligence model, and analyzes picture data of a user who is a test taker with a combination of meta information to analyze a psychological state of the user. A meta information extraction device of an object for an artificial intelligence art psychological test according to the present disclosure may include, a user interface for providing an interactive environment to a user who is a test taker, a first feature extraction unit which is trained by an artificial intelligence model to extract the object from picture data generated on a screen using an object selected by the user through the user interface, a second feature extraction unit which is trained by an artificial intelligence model to extract meta information of an object extracted by the first feature extraction unit, and a library which stores the object extracted by the first feature extraction unit and the meta information extracted by the second feature extraction unit.