Robotics & Machine Learning Daily News2024,Issue(Nov.22) :35-35.

Study Results from Southwest Jiaotong University in the Area of Machine Learning Reported (Investigating the Brain Network Characteristics of Multimodal Emotion Recognition and Its Classification Applications Based On Functional Connectivit y ...)

报道了西南交通大学在机器学习领域的研究成果(研究了基于功能连接的多模态情感识别的脑网络特征及其分类应用)

Robotics & Machine Learning Daily News2024,Issue(Nov.22) :35-35.

Study Results from Southwest Jiaotong University in the Area of Machine Learning Reported (Investigating the Brain Network Characteristics of Multimodal Emotion Recognition and Its Classification Applications Based On Functional Connectivit y ...)

报道了西南交通大学在机器学习领域的研究成果(研究了基于功能连接的多模态情感识别的脑网络特征及其分类应用)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。据新闻报道原发于中华人民共和国成都,由NewsRx Research记者报道他说:“情绪信息可以在多种模式刺激中表达,大脑可以识别多模态情感高效准确。最近的研究已经深入分析了这种活性基于功能的不同模态情绪信息下相关脑区特征磁共振成像(fM RI)"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting originating from Chengdu, Peo ple’s Republic of China, by NewsRx correspondents, researchstated, “Emotion inf ormation can be expressed in multiple modal stimuli, and the brain can recognizemulti-modal emotions efficiently and accurately. Recent researches have thoroug hly analyzed the activitycharacteristics of relevant brain regions under differ ent modal emotion information based on functionalmagnetic resonance imaging (fM RI).”

Key words

Chengdu/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Southwest Jiaotong Universi ty

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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