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公开(公告)号：US20160279476A1
公开(公告)日：2016-09-29
申请号：US15081213
申请日：2016-03-25
Inventor： Kye-Kyung KIM , Sang-Seung KANG , Su-Young CHI , Jae-Hong KIM , Sung-Woong SHIN
CPC classification number: G06K9/00369 , G06T2207/30221 , G16H20/30
Abstract: Disclosed are a personalized exercise service providing method and an apparatus thereof. An personalized exercise service providing apparatus according to an example includes a user class identifier configured to identify user class of a user; an exercise data acquisitor configured to acquire exercise data of the user; and a model generator configured to generate a personalized exercise model of the user based on a standard exercise model corresponding to the determined user class and the acquired exercise data of the user to provide the most effective exercise model to each user through user recognition.
Abstract translation: 公开了一种个性化的运动服务提供方法及其装置。 根据示例的个性化运动服务提供装置包括被配置为识别用户的用户类别的用户类别标识符; 运动数据获取器，被配置为获取用户的运动数据; 以及模型生成器，被配置为基于与所确定的用户类别对应的标准运动模型和所获取的用户运动数据生成用户的个性化运动模型，以通过用户识别向每个用户提供最有效的运动模型。
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12.发明申请APPARATUS AND METHOD FOR DETECTING OBJECT USING MULTI-DIRECTIONAL INTEGRAL IMAGE 有权用于使用多方向整合图像检测对象的装置和方法公开(公告)号：US20160110631A1
公开(公告)日：2016-04-21
申请号：US14529767
申请日：2014-10-31
Inventor： Dae-Ha LEE , Cheon-Shu PARK , Min-Su JANG , Jae-Hong KIM , Jong-Hyun PARK
CPC classification number: G06K9/4647 , G06K9/4614 , G06K2019/06253
Abstract: An apparatus and method for detecting an object using a multi-directional integral image are disclosed. The apparatus includes an area segmentation unit, an integral image calculation unit, and an object detection unit. The area segmentation unit places windows having a size of x*y on a full image having w*h pixels so that they overlap each other at their edges, thereby segmenting the full image into a single area, a double area and a quadruple area. The integral image calculation unit calculates a single directional integral image for the single area, and calculates multi-directional integral images for the double and quadruple areas. The object detection unit detects an object for the full image using the single directional integral image and the multi-directional integral images.
Abstract translation: 公开了一种使用多方向积分图像检测物体的装置和方法。 该装置包括区域分割单元，整体图像计算单元和对象检测单元。 区域分割单元将具有x * y大小的窗口放置在具有w * h个像素的完整图像上，使得它们在其边缘处彼此重叠，从而将完整图像分割成单个区域，双面区域和四区域。 积分图像计算单元计算单个区域的单向积分图像，并计算双倍和四倍区域的多方向积分图像。 物体检测单元使用单向积分图像和多方向积分图像检测全图像的物体。
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13.发明申请公开(公告)号：US20250095478A1
公开(公告)日：2025-03-20
申请号：US18676563
申请日：2024-05-29
Inventor： Byung-Ok HAN , Do-Hyung KIM , Jae-Hong KIM , Woo-Han YUN
Abstract: Disclosed herein are an apparatus and method for providing crosswalk pedestrian guidance based on an image and a beacon. The method for providing crosswalk pedestrian guidance based on an image and a beacon may include estimating a walking location based on a beacon signal corresponding to at least one traffic light and first-person view sensor information, analyzing a hazard factor around a pedestrian based on an image acquired from a camera corresponding to the traffic light, predicting a hazard around the pedestrian in combination by considering together the walking location, the hazard factor, and status information of the traffic light, and providing walking guidance to a pedestrian guidance terminal based on the predicted hazard around the pedestrian.
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14.发明申请公开(公告)号：US20200335007A1
公开(公告)日：2020-10-22
申请号：US16918659
申请日：2020-07-01
Inventor： Do-Hyung KIM , Min-Su JANG , Jae-Hong KIM , Young-Woo YOON , Jae-Il CHO
Abstract: Disclosed herein are an apparatus for writing a motion script and an apparatus and method for self-teaching of a motion. The method for self-teaching of a motion, in which the apparatus for writing a motion script and the apparatus for self-teaching of a motion are used, includes creating, by the apparatus for writing a motion script, a motion script based on expert motion of a first user; analyzing, by the apparatus for self-teaching of a motion, a motion of a second user, who learns the expert motion, based on the motion script; and outputting, by the apparatus for self-teaching of a motion, a result of analysis of the motion of the second user.
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公开(公告)号：US20200094416A1
公开(公告)日：2020-03-26
申请号：US16206711
申请日：2018-11-30
Inventor： Cheon-Shu PARK , Jae-Hong KIM , Jae-Yeon LEE , Min-Su JANG
Abstract: Disclosed herein are an interaction apparatus and method. The interaction apparatus includes an input unit for receiving multimodal information including an image and a voice of a target to allow the interaction apparatus to interact with the target, a recognition unit for recognizing turn-taking behavior of the target using the multimodal information, and an execution unit for taking an activity for interacting with the target based on results of recognition of the turn-taking behavior.
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Patent Agency Ranking
16.发明申请公开(公告)号：US20170358243A1
公开(公告)日：2017-12-14
申请号：US15450337
申请日：2017-03-06
Inventor： Do-Hyung KIM , Min-Su JANG , Jae-Hong KIM , Young-Woo YOON , Jae-Il CHO
Abstract: Disclosed herein are an apparatus for writing a motion script and an apparatus and method for self-teaching of a motion. The method for self-teaching of a motion, in which the apparatus for writing a motion script and the apparatus for self-teaching of a motion are used, includes creating, by the apparatus for writing a motion script, a motion script based on expert motion of a first user; analyzing, by the apparatus for self-teaching of a motion, a motion of a second user, who learns the expert motion, based on the motion script; and outputting, by the apparatus for self-teaching of a motion, a result of analysis of the motion of the second user.
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公开(公告)号：US20250065188A1
公开(公告)日：2025-02-27
申请号：US18429599
申请日：2024-02-01
Inventor： Do-Hyung KIM , Jae-Hong KIM , Young-Woo YOON , Ho-Beom JEON
Abstract: Disclosed herein is an apparatus and method for counting repetitive movements based on Artificial Intelligence. The method may include generating standard movement information that includes a key pose extracted from a demonstration movement image stream based on human skeleton information, which is a set of pieces of positional information of human joints, and major joint information in the key pose and counting repetitive movements depending on whether a user movement matches the standard movement information based on human skeleton information of a user movement image stream.
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公开(公告)号：US20230077103A1
公开(公告)日：2023-03-09
申请号：US17836087
申请日：2022-06-09
Inventor： Min-Su JANG , Do-Hyung KIM , Jae-Hong KIM , Woo-Han YUN
Abstract: Disclosed herein are a cloud server, an edge server, and a method for generating an intelligence model using the same. The method for generating an intelligence model includes receiving, by the edge server, an intelligence model generation request from a user terminal, generating an intelligence model corresponding to the intelligence model generation request, and adjusting the generated intelligence model.
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公开(公告)号：US20220019916A1
公开(公告)日：2022-01-20
申请号：US17109809
申请日：2020-12-02
Inventor： Jin-Hyeok JANG , Do-Hyung KIM , Jae-Hong KIM , Jae-Yeon LEE , Min-Su JANG , Jeong-Dan CHOI
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.
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公开(公告)号：US20210394021A1
公开(公告)日：2021-12-23
申请号：US17106465
申请日：2020-11-30
Inventor： Do-Hyung KIM , Jae-Hong KIM , Young-Woo YOON , Jae-Yeon LEE , Min-Su JANG , Jeong-Dan CHOI
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.
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