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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：US20200074158A1
公开(公告)日：2020-03-05
申请号：US16213833
申请日：2018-12-07
Inventor： Do-Hyung KIM , Jin-Hyeok JANG , Jae-Hong KIM , Sung-Woong SHIN , Jae-Yeon LEE , Min-Su JANG
Abstract: Disclosed herein are a human behavior recognition apparatus and method. The human behavior recognition apparatus includes a multimodal sensor unit for generating at least one of image information, sound information, location information, and Internet-of-Things (IoT) information of a person using a multimodal sensor, a contextual information extraction unit for extracting contextual information for recognizing actions of the person from the at least one piece of generated information, a human behavior recognition unit for generating behavior recognition information by recognizing the actions of the person using the contextual information and recognizing a final action of the person using the behavior recognition information and behavior intention information, and a behavior intention inference unit for generating the behavior intention information based on context of action occurrence related to each of the actions of the person included in the behavior recognition information.
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