A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges
A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges
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DOI：
10.1080/2326263x.2014.912881
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发表时间：
2014-01-01
影响因子：
2.1
通讯作者：
Chanel, Guillaume
中科院分区：
文献类型：
--
作者：
Muehl, Christian;Allison, Brendan;Chanel, Guillaume
情感状态，心境和情绪，是人性不可分割的一部分：它们塑造我们的思想，支配个人行为，影响我们的人际关系。在过去的几十年里，人们对从声音、面部表情和生理信号中自动检测这种状态越来越感兴趣，主要目的是通过情感成分增强人机交互。随着脑机接口研究的出现，情感脑机接口（aBCI）的概念出现了，它可以从大脑信号中检测情感。在这篇文章中，我们着手调查基于神经生理学的情感检测领域。我们概述了aBCI在脑机接口方法的一般分类中的可能应用，并介绍了情感的核心概念及其神经生理学基础。我们表明，越来越多的文献证明了从神经生理活动中检测情感的能力，但也存在局限性和挑战。
Affective states, moods and emotions, are an integral part of human nature: they shape our thoughts, govern the behavior of the individual, and influence our interpersonal relationships. The last decades have seen a growing interest in the automatic detection of such states from voice, facial expression, and physiological signals, primarily with the goal of enhancing human-computer interaction with an affective component. With the advent of brain-computer interface research, the idea of affective brain-computer interfaces (aBCI), enabling affect detection from brain signals, arose. In this article, we set out to survey the field of neurophysiology-based affect detection. We outline possible applications of aBCI in a general taxonomy of brain-computer interface approaches and introduce the core concepts of affect and their neurophysiological fundamentals. We show that there is a growing body of literature that evidences the capabilities, but also the limitations and challenges of affect detection from neurophysiological activity.