公开(公告)号：US20180157814A1

公开(公告)日：2018-06-07

申请号：US15813384

申请日：2017-11-15

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Jang-Hee YOO ,  Ki-Young MOON ,  Young-Jae LIM ,  Kyo-Il CHUNG

IPC: G06F21/32 ,  G06F21/45 ,  G06F3/01 ,  G06K9/00 ,  G06F3/0488

CPC classification number: G06F21/32 ,  G06F3/017 ,  G06F3/04883 ,  G06F21/36 ,  G06F21/45 ,  G06K9/00382 ,  G06K9/00389 ,  G06K9/00885 ,  G06K9/00926 ,  G06K2009/00395 ,  H04W12/06

Abstract: Disclosed herein are a method and apparatus for authenticating a user based on a fingertip gesture. The authentication apparatus may display a pattern generated based on geometric information about a hand geometry or size of a user, and may recognize a fingertip gesture via interaction with the user with respect to the pattern. The authentication apparatus may authenticate a user using the recognized fingertip gesture. The pattern may include a gesture inducement/relation pattern and a fake pattern. Information about the fingertip gesture may include fingertip touch locations of the fingertip gesture, a touch order of the fingertip touch locations, and a moving direction of the fingertip touch locations.

公开(公告)号：US20170046600A1

公开(公告)日：2017-02-16

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: G06K9/62 ,  G06K9/46 ,  A63B24/00 ,  G06K9/00

CPC classification number: G06K9/00342

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.

Abstract translation: 基于健身设备的模拟器和使用模拟器的仿真方法。 基于适应装置的模拟器包括特征点提取单元，用于获取位于健身装置上的用户的动作感测信息，并且基于动作感测信息提取用户身体骨骼结构的特征点， 特征点集群生成单元，其通过对所述特征点中的两个以上的特征点进行聚类来生成多个特征点集群，以及设定多个特征点集群的各个集群符号;运动模式信息累积部，生成并存储关于所述多个特征点之间的状态转换的信息 基于状态转换信息，通过预测当前正在为用户生成的特征点集群之后的特征点集群来预测用户的后续运动状态，运动状态预测单元​​。