公开(公告)号：US20240169198A1

公开(公告)日：2024-05-23

申请号：US18242725

申请日：2023-09-06

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： MUHAMMAD ZUBAIR ,  Sung Pil WOO ,  Chang Woo YOON ,  Sun Hwan LIM

IPC: G06N3/08 ,  G06N3/0442 ,  G06N3/0464

CPC classification number: G06N3/08 ,  G06N3/0442 ,  G06N3/0464

Abstract: An apparatus for training a deep learning model for classifying emotions from biosignals includes: a memory configured to store a program for training the deep learning model; and a processor configured to train the deep learning model by executing the program, wherein, when the processor executes the program, the processor inputs an input matrix to an attention layer constituting the deep learning model, the input matrix being composed of a plurality of features each mapped to a plurality of channels and a plurality of feature groups as the biosignals are acquired from a plurality of channels and the biosignals acquired from each channel are divided into the plurality of feature groups, and the attention layer operates to mask the input matrix using an attention matrix in which an importance of features in each channel is reflected.

公开(公告)号：US20230200742A1

公开(公告)日：2023-06-29

申请号：US18083935

申请日：2022-12-19

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： MUHAMMAD ZUBAIR ,  Sung Pil WOO ,  Chan Won PARK ,  Sun Hwan LIM

IPC: A61B5/00 ,  A61B5/318

CPC classification number: A61B5/7267 ,  A61B5/318

Abstract: A computing device inputs a sample generated from an electrocardiogram signal to a heartbeat classification model, generates a feature map from the sample through multiple first layers of the heartbeat classification model, generates an attention mask based on an assistant feature generated from the feature map and the sample, generates a masked feature map by masking the feature map with the attention mask; and performs classification of the sample from the masked feature map through a second layer of the heartbeat classification model.