公开(公告)号：US11984138B1

公开(公告)日：2024-05-14

申请号：US18384105

申请日：2023-10-26

Applicant: Korea Electronics Technology Institute

Inventor： Min Young Jung ,  Jin Yea Jang ,  San Kim ,  Sa Im Shin

IPC: G06V40/20 ,  G10L25/63

CPC classification number: G10L25/63 ,  G06V40/20

Abstract: There is a method for monitoring emotion and behavior occurring during a conversation with a user who is in need of protection. According to an embodiment, a user monitoring method receives an input of a user utterance and generates a conversation content by using a conversation model based on a user utterance content, converts the generated conversation content into a voice and outputs the voice, and recognizes emotion of the user by using an emotion analysis model based on the user utterance content and monitors the emotion. Accordingly, the method may monitor behavior/emotion of a user through a natural conversation while allowing a specialist/guardian to monitor an abnormal sign of a user who is in need of protection.

公开(公告)号：US11455837B2

公开(公告)日：2022-09-27

申请号：US17726325

申请日：2022-04-21

Applicant: KOREA ELECTRONICS TECHNOLOGY INSTITUTE

Inventor： Min Young Jung ,  Sa Im Shin ,  Jin Yea Jang ,  San Kim

IPC: G06K9/00 ,  G06V40/70 ,  G06V40/16 ,  G10L15/22

Abstract: This application relates to an adaptive inference system and an operation method therefor. In one aspect, the system includes a user terminal for collecting multi-modal information including at least visual information, voice information and text information. The system may also include an inference support device for receiving the multi-modal information from the user terminal, and inferring the intention of a user on the basis of pre-stored history information related to the user terminal, individualized information and the multi-modal information.

公开(公告)号：US12190907B2

公开(公告)日：2025-01-07

申请号：US17894061

申请日：2022-08-23

Applicant: Korea Electronics Technology Institute

Inventor： Jin Yea Jang ,  Sa Im Shin ,  Min Young Jung ,  San Kim

IPC: G10L25/63 ,  G10L15/22 ,  G10L25/39

Abstract: There are provided a method and a system for automatically generating a back-channel in an interactive agent system. According to an embodiment of the disclosure, an automatic back-channel generation method includes: predicting a back-channel by analyzing an utterance of a user inputted in a back-channel prediction model; and generating the predicted back-channel, and the back-channel prediction model is an AI model that is trained to predict a back-channel to express from the utterance of the user. Accordingly, a back-channel is automatically generated by utilizing a back-channel prediction module which is based on a language model, so that a natural dialogue interaction with a user may be implemented in an interactive agent system, and quality of a dialogue service provided to a user may be enhanced.