Patents by Inventor Tae Yang OH

Tae Yang OH has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • METHOD AND DEVICE FOR PROVIDING FOOD INTAKE SUPPORT SERVICE
    Publication number: 20240190013
    Abstract: A method of providing a food intake support service includes outputting, by a second device included in a robot device comprising the second device and a first device, an alarm when a preset food intake time arrives, receiving, by the second device, a plurality of sensing data related to food intake from the first device, analyzing, by the second device, the plurality of sensing data; outputting, by the second device, feedback based on the plurality of sensing data and performing, by the second device, a real-time interactive communication based on inputted voice data.
    Type: Application
    Filed: February 16, 2024
    Publication date: June 13, 2024
    Inventors: Jihee KIM, Se Jin CHUNG, Kwang Yu KIM, Tae Yang OH, Dong Myoung WOO
  • Technology for analyzing abnormal behavior using deep learning-based system and data imaging
    Patent number: 11379689
    Abstract: Disclosed is a method of analyzing abnormal behavior by using data imaging, including: receiving data to be analyzed as an input, wherein the data to be analyzed is related to a state of a system to be analyzed; converting the inputted data to be analyzed into image data; training a neural network unit with the converted image data as an input; and detecting or predicting abnormal behavior in the system to be analyzed, at the neural network unit, which has received the image data converted from the data to be analyzed as the input and completed training.
    Type: Grant
    Filed: February 12, 2018
    Date of Patent: July 5, 2022
    Assignee: CTILAB CO., LTD.
    Inventors: Hong Yeon Cho, Tae Yang Oh, Won Woo Park
  • TECHNOLOGY FOR ANALYZING ABNORMAL BEHAVIOR USING DEEP LEARNING-BASED SYSTEM AND DATA IMAGING
    Publication number: 20210064926
    Abstract: Disclosed is a method of analyzing abnormal behavior by using data imaging, including: receiving data to be analyzed as an input, wherein the data to be analyzed is related to a state of a system to be analyzed; converting the inputted data to be analyzed into image data; training a neural network unit with the converted image data as an input; and detecting or predicting abnormal behavior in the system to be analyzed, at the neural network unit, which has received the image data converted from the data to be analyzed as the input and completed training.
    Type: Application
    Filed: February 12, 2018
    Publication date: March 4, 2021
    Applicant: CTILAB CO., LTD.
    Inventors: Hong Yeon CHO, Tae Yang OH, Won Woo PARK