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KR-20260064474-A - Apparatus and Method for analyzing animal brain waves and implementing language using AI

KR20260064474AKR 20260064474 AKR20260064474 AKR 20260064474AKR-20260064474-A

Abstract

The present invention aims to solve conventional problems and relates to an animal brainwave analysis and language implementation device and method using AI, which precisely analyzes an animal's brainwaves through EEG (Electroencephalography) and AI (Artificial Intelligence) technologies to determine its emotional state, and implements the data into language through continuous learning and verification stages to enable mutual conversation with humans. The present invention comprises: a data collection module for collecting the animal's brainwaves; a signal analysis module for identifying emotions and intentions through AI analysis of the brainwaves collected by the data collection module, and recognizing and interpreting specific patterns by applying a pre-stored neural network model; a language conversion module for converting the data analyzed by AI in the signal analysis module into human language, and generating customized language according to the emotional state and intention; a language output module for outputting the language generated by the language conversion module as text or voice; and a continuous learning module for improving accuracy by feeding back and learning the signals recognized and interpreted by the signal analysis module, and repeatedly performing reinforcement learning and data accumulation processes using a deep learning model.

Inventors

  • 김재완

Assignees

  • 김재완

Dates

Publication Date
20260507
Application Date
20250701
Priority Date
20241031

Claims (6)

  1. In an animal brainwave analysis and language implementation device using AI (Artificial Intelligence), A data collection module (100) composed of sensors and hardware that non-invasively collect animal brainwave signals by measuring signals from the outside without cutting or penetrating body tissues; A signal analysis module (200) that processes brainwave data acquired from the above data collection module (100) using an AI-based algorithm to extract the animal's emotions and intentions, and performs pattern recognition and interpretation by applying a pre-trained neural network model; A language conversion module (300) that converts the output data of the signal analysis module (200) into human language and enables natural language processing (NLP) to generate sentences customized to the animal's emotional state and intention; A language output module (400) configured to be an interface device that outputs text or voice generated by a language conversion module (300); An animal brainwave analysis and language implementation device using AI, comprising: a continuous learning module (500) that receives feedback on the results of a signal analysis module (200), reinforces a deep learning model, and performs iterative learning for data accumulation and accuracy improvement. A data collection module (100) composed of sensors and hardware that non-invasively collect animal brainwave signals by measuring signals from the outside without cutting or penetrating body tissues; A signal analysis module (200) that processes brainwave data acquired from the above data collection module (100) using an AI-based algorithm to extract the animal's emotions and intentions, and performs pattern recognition and interpretation by applying a pre-trained neural network model; A language conversion module (300) that converts the output data of the signal analysis module (200) into human language and enables natural language processing (NLP) to generate sentences customized to the animal's emotional state and intention; A language output module (400) configured to be an interface device that outputs text or voice generated by a language conversion module (300); A continuous learning module (500) that receives feedback on the results of the signal analysis module (200), reinforces the deep learning model, and performs iterative learning for data accumulation and accuracy improvement;
  2. In Article 1, The above data collection module (100) An animal brainwave analysis and language implementation device through AI, characterized by further including an electroencephalography (EEG) sensor for detecting the animal's brainwaves and an electrocardiogram (ECG) sensor for detecting the animal's electrocardiogram.
  3. In Article 1, The above data collection module (100) It includes one of a wet electrode, a dry electrode, or a semi-dry electrode (110) formed on the head of an animal; An amplifier (120) that amplifies the signal of the above electrode; An A/D converter (130) that converts the above amplified analog signal into a digital signal; A noise removal filter (140) that removes noise caused by the movement of a pet; An animal brainwave analysis and language implementation device through AI, characterized by including a transmitter (150) that transmits the above digital signal to a smartphone and a cloud server via Bluetooth or Wi-Fi.
  4. In a method for animal brainwave analysis and language implementation through AI (Artificial Intelligence), A step in which a data collection module (100) collects the brainwaves of an animal; A signal analysis module (200) identifies emotions and intentions through AI analysis of brainwaves collected from the data collection module (100), and applies a pre-stored neural network model to recognize and interpret specific patterns; A step in which a language conversion module (300) converts data analyzed by AI in the signal analysis module (200) into human language, but generates a customized language according to emotional state and intention; A step in which a language output module (400) outputs the language generated by the language conversion module (300) as text or voice; A method for animal brainwave analysis and language implementation through AI, comprising the step of a continuous learning module (500) feeding back and learning the signal recognized and interpreted by the signal analysis module (200) to improve accuracy, and repeatedly performing reinforcement learning and data accumulation processes with a deep learning model.
  5. In Article 1, The step of the data collection module (100) collecting the animal's brainwaves is as follows: A method for analyzing animal brainwaves and implementing language through AI, characterized by further including the step of detecting the animal's brainwaves using an electroencephalography (EEG) sensor and the step of detecting the electrocardiogram using an electrocardiogram (ECG) sensor.
  6. In Article 1, The step of the data collection module (100) collecting the animal's brainwaves is as follows: It includes one of a wet electrode, a dry electrode, or a semi-dry electrode (110) formed on the head of an animal; A step in which an amplifier (120) amplifies the signal of the electrode; A method for animal brainwave analysis and language implementation through AI, characterized by comprising the steps of: an A/D converter (130) converting the amplified analog signal into a digital signal; a noise removal filter (140) removing noise caused by the movement of the pet; and a transmitter (150) transmitting the digital signal to a smartphone and a cloud server via Bluetooth or Wi-Fi.

Description

Apparatus and Method for analyzing animal brain waves and implementing language using AI The present invention relates to a method for analyzing animal brainwaves and implementing language through AI, and more specifically, to an apparatus and method for analyzing animal brainwaves and implementing language through AI that analyzes an animal's brainwaves to determine its emotional state and implements it into language to enable mutual conversation with humans. Recent research has advanced to the point where people can control games, drones, and even drive cars using their brainwaves. Most notably, brainwave measurement technology, which developed to detect the unique brainwaves of epilepsy patients, has progressed to the point where it can be expanded and used by the general public. For example, Korean Published Patent Application No. 10-2020-0101608 discloses an invention that reduces the risk associated with raising pets by using brainwaves to pre-determine whether a pet is in a dangerous state due to aggression, and also helps to reduce risk in advance and facilitate a smooth cohabitation with pets by detecting and displaying the pet's emotional expressions, such as hunger, depression, anger, and joy, using a pet brainwave measuring collar. However, the disclosed prior art had the problem of inaccurate results due to the inability to precisely analyze animal brainwaves, which leads to errors in judging emotional states, and the lack of learning and verification steps during data processing. FIG. 1 is a block diagram showing an embodiment of an animal brainwave analysis and language implementation device through AI according to the present invention. FIG. 2 is a block diagram showing an embodiment of the data collection module of FIG. 1. FIG. 3 is a control flowchart illustrating an embodiment of a method for animal brainwave analysis and language implementation through AI according to the present invention, FIGS. 4 and 5 are diagrams schematically illustrating the steps of collecting and analyzing brainwave signals according to the present invention. FIGS. 6 and 7 are external views showing an embodiment of a data collection module worn on the head of an animal according to the present invention. The present invention is susceptible to various modifications and may have various embodiments, and specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the invention to specific embodiments, and it should be understood that the invention includes all modifications, equivalents, and substitutions that fall within the spirit and scope of the invention. Similar reference numerals have been used for similar components in the description of each drawing. Terms such as "first," "second," etc., may be used to describe various components, but said components should not be limited by said terms. These terms are used solely for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be named the second component, and similarly, the second component may be named the first component. The term "and/or" includes a combination of a plurality of related described items or any of a plurality of related described items. When it is stated that one component is "connected" or "connected" to another component, it should be understood that while it may be directly connected or connected to that other component, there may also be other components in between. On the other hand, when it is stated that one component is "directly connected" or "directly connected" to another component, it should be understood that there are no other components in between. The terms used in this application are used merely to describe specific embodiments and are not intended to limit the invention. The singular expression includes the plural expression unless clearly otherwise indicated in the context. Terms such as “comprising” or “having” in this application are intended to specify the presence of the features, numbers, steps, movements, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, movements, components, parts, or combinations thereof. A preferred embodiment of the present invention will be examined in detail with reference to the attached drawings. FIG. 1 is a block diagram showing an embodiment of an animal brainwave analysis and language implementation device using AI according to the present invention, and FIG. 2 is a block diagram showing an embodiment of a data collection module of FIG. 1. As described above, the animal brainwave analysis and language implementation device using AI according to the present invention includes a data collection module (100), a signal analysis module (200), a language conversion module