公开(公告)号：US20220019916A1

公开(公告)日：2022-01-20

申请号：US17109809

申请日：2020-12-02

Applicant: Electronics and Telecommunications Research Institute

Inventor： Jin-Hyeok JANG ,  Do-Hyung KIM ,  Jae-Hong KIM ,  Jae-Yeon LEE ,  Min-Su JANG ,  Jeong-Dan CHOI

IPC: G06N5/04 ,  G06K9/62 ,  G06N20/20

Abstract: Disclosed herein are an apparatus and method for recommending federated learning based on recognition model tendency analysis. The method for recommending federated learning based on recognition model tendency analysis in a server device may include analyzing the tendency of a recognition model trained using reinforcement learning by each of multiple user terminals, grouping the multiple user terminals according to the tendency of the recognition model, and transmitting federated-learning group information including information about other user terminals grouped together with at least one of the multiple user terminals.

公开(公告)号：US20210394021A1

公开(公告)日：2021-12-23

申请号：US17106465

申请日：2020-11-30

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Do-Hyung KIM ,  Jae-Hong KIM ,  Young-Woo YOON ,  Jae-Yeon LEE ,  Min-Su JANG ,  Jeong-Dan CHOI

IPC: A63B24/00 ,  A61B5/11 ,  B25J19/02 ,  G06T7/73 ,  G06T7/246

Abstract: Disclosed herein are an apparatus and method for evaluating a human motion using a mobile robot. The method may include identifying the exercise motion of a user by analyzing an image of the entire body of the user captured using a camera installed in the mobile robot, evaluating the pose of the user by comparing the standard pose of the identified exercise motion with images of the entire body of the user captured by the camera of the mobile robot from two or more target locations, and comprehensively evaluating the exercise motion of the user based on the pose evaluation information of the user from each of the two or more target locations.