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

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...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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

Journal of Experimental & Theoretical Artificial Intelligence 工程技术-计算机：人工智能

CiteScore

6.10

自引率

4.50%

发文量

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