增强基于脑电图的情绪识别的混合顺序前向信道选择方法

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Experimental & Theoretical Artificial Intelligence Pub Date : 2024-01-11 DOI:10.1080/0952813x.2023.2301367
Shyam Marjit, Parag Jyoti Das, Upasana Talukdar, Shyamanta M Hazarika
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引用次数: 0

摘要

近来,基于脑电图的情感识别在情感计算领域备受关注。设计基于脑电图的高效情感识别框架的主要挑战之一是...
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A hybrid sequential forward channel selection method for enhancing EEG-Based emotion recognition
In recent times, EEG-based emotion recognition has gained significant attention in affective computing. One of the major challenges in designing an efficient EEG-based emotion-recognition framework...
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来源期刊
CiteScore
6.10
自引率
4.50%
发文量
89
审稿时长
>12 weeks
期刊介绍: Journal of Experimental & Theoretical Artificial Intelligence (JETAI) is a world leading journal dedicated to publishing high quality, rigorously reviewed, original papers in artificial intelligence (AI) research. The journal features work in all subfields of AI research and accepts both theoretical and applied research. Topics covered include, but are not limited to, the following: • cognitive science • games • learning • knowledge representation • memory and neural system modelling • perception • problem-solving
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