公开(公告)号：US20250127459A1

公开(公告)日：2025-04-24

申请号：US18922562

申请日：2024-10-22

Applicant: LumanLab Inc.

Inventor： Jae Hyun LIM ,  So Yoon JUNG

IPC: A61B5/00 ,  G16H50/20

Abstract: An apparatus and method for diagnosing developmental disorder using an artificial neural network are disclosed. An apparatus for diagnosing developmental disorders according to one exemplary embodiment includes a communication unit that performs communication with one or more user terminals and a control unit connected to the communication unit, in which the control unit receives at least one of image data and voice data for an analysis target from the user terminal and performs a first developmental disorder diagnosis through one or more artificial neural networks learned to perform a developmental disorder diagnosis, receives questionnaire response data from the user terminal and performs a second developmental disorder diagnosis according to predetermined standard, and generates developmental disorder diagnosis data for the analysis target based on the first developmental disorder diagnosis and the second developmental disorder diagnosis.

公开(公告)号：US20250087024A1

公开(公告)日：2025-03-13

申请号：US18817229

申请日：2024-08-28

Applicant: LumanLab Inc.

Inventor： Jae Hyun LIM

IPC: G06V40/20 ,  G06T7/70 ,  G06V10/764 ,  G06V10/82 ,  G06V20/40 ,  G06V20/52 ,  G06V40/16

Abstract: The present disclosure discloses a child behavior monitoring apparatus and method allowing detecting dangerous situations and acquiring behavior analysis data using artificial neural networks. According to an embodiment, a monitoring apparatus includes an object detection unit configured to receive video data generated from one or more cameras and to detect one or more persons included in each piece of video data; a behavior detection unit configured to analyze behaviors of each of the one or more detected persons based on the video data and the detection result to generate behavior type data; and a data transmission unit configured to transmit monitoring data to one or more predetermined users according to specified criteria based on the behavior type data.

公开(公告)号：US20240212800A1

公开(公告)日：2024-06-27

申请号：US18544488

申请日：2023-12-19

Applicant: LumanLab Inc. ,  Korea University Research and Business Foundation ,  Korea University Research and Business Foundation, Sejong Campus

Inventor： Jae Hyun LIM ,  Chul Hyun CHO ,  Seung Pil PACK

IPC: G16H10/20 ,  A61B5/16 ,  G16H50/20 ,  G16H50/30

CPC classification number: G16H10/20 ,  A61B5/16 ,  G16H50/20 ,  G16H50/30 ,  A61B2503/06

Abstract: An electronic device and a method to assess a mental health state of an adolescent by using a survey formed based on an artificial intelligence (AI). The method comprises: collecting physical information of a user through a pre-installed application, verifying survey questions regarding a mental health depending on the physical information, and verifying answers to the verified survey questions through the application; forming additional survey questions after having verified the answers and calculating a prediction rate of an appearance of symptoms of a mental illness regarding the additional survey questions by using AI models; verifying a set of survey questions including a plurality of sub-questions depending on the calculated prediction rate; outputting the verified set of survey questions through the application; outputting result data by adjusting the prediction rate; and transmitting the outputted result data.