公开(公告)号：US09378559B2

公开(公告)日：2016-06-28

申请号：US14592300

申请日：2015-01-08

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： So-Yeon Lee ,  Sang-Joon Park ,  Kyo-Il Chung ,  Jae-Joon Yoo ,  Jong-Hyun Park

IPC: G06K9/00 ,  G06T7/20

CPC classification number: G06T7/2093 ,  G06T7/20 ,  G06T7/251 ,  G06T2207/10012 ,  G06T2207/10024 ,  G06T2207/10028 ,  G06T2207/30196

Abstract: A system and a method for motion estimation are disclosed. The system for motion estimation in accordance with an embodiment of the present invention includes: a plurality of motion sensors mounted near joints of a body and configured to provide motion information; a depth sensor configured to provide 3-dimensional image information having a 3-dimensional coordinate for each pixel; and a motion estimation device configured to estimate a motion by use of the motion information and the 3-dimensional image information, wherein the motion estimation device includes: a converging unit configured to compute mounting position information of the motion sensors by performing an initialization process by converging the motion information and the 3-dimensional image information; and an estimating unit configured to estimate the motion by computing a state vector including the mounting position information and the motion information.

Abstract translation: 公开了一种用于运动估计的系统和方法。 根据本发明的实施例的用于运动估计的系统包括：安装在身体的关节附近并被配置为提供运动信息的多个运动传感器; 深度传感器，被配置为提供具有每个像素的3维坐标的3维图像信息; 以及运动估计装置，其被配置为通过使用所述运动信息和所述3维图像信息来估计运动，其中所述运动估计装置包括：会聚单元，被配置为通过执行所述运动传感器的安装位置信息来执行初始化处理， 收敛运动信息和三维图像信息; 以及估计单元，被配置为通过计算包括所述安装位置信息和所述运动信息的状态矢量来估计所述运动。

公开(公告)号：US10108855B2

公开(公告)日：2018-10-23

申请号：US15205149

申请日：2016-07-08

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE ,  UNIVERSITY-INDUSTRY FOUNDATION, YONSEI UNIVERSITY

Inventor： Young-Jae Lim ,  Sang-Hoon Lee ,  Jong-Yoo Kim ,  Hak-Sub Kim ,  Sang-Joon Park ,  Hee-Seok Oh ,  So-Yeon Lee ,  Kyo-Il Chung

IPC: G06K9/00

Abstract: A fitness device-based simulator and a simulation method using the simulator. The fitness device-based simulator includes a feature point extraction unit for acquiring action-sensing information of a user who is located on a fitness device, and extracting feature points for a body skeletal structure of the user based on the action-sensing information, a feature point cluster generation unit for generating multiple feature point clusters by clustering two or more of the feature points, and setting respective cluster symbols for multiple feature point clusters, an exercise pattern information accumulation unit for generating and storing information about a state transition between the multiple feature point clusters of the user, and an exercise state prediction unit for predicting a subsequent exercise state of the user by predicting a feature point cluster subsequent to a feature point cluster currently being generated for the user, based on state transition information.