Machine learning based cognitive skills calculations for different emotional conditions

Sadique Ahmad, A. Adnan
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引用次数: 3

Abstract

Advance measurement of cognitive skills of a human being is a challenging research works because these skills have a great relation with emotions, age and gender. Working with emotions in cognitive computing is challenging but we cannot ignore the importance of cognitive skills during critical tasks as flying, fire fighting and driving public transports. During our previous published works we have conducted experiment on 8 participants of both genders. We have investigated that emotions, age, gender and cognitive skills have dependencies on one another. This paper investigate literature review of other researchers belong to psychology, neuroscience, HCI, as well as computer science which shows that emotions and EEG signal patterns have a great concern with cognitive skills. We have found evidence that emotions, age, gender and cognitive skills have great relations with each other.
基于机器学习的认知技能计算不同的情绪状态
人的认知能力与情绪、年龄、性别有很大的关系,因此对人的认知能力进行超前测量是一项具有挑战性的研究工作。在认知计算中处理情感是具有挑战性的,但我们不能忽视在飞行、消防和驾驶公共交通等关键任务中认知技能的重要性。在我们之前发表的作品中,我们对8名男女参与者进行了实验。我们调查了情绪、年龄、性别和认知技能是相互依赖的。本文对心理学、神经科学、人机交互和计算机科学等领域的研究人员进行了文献综述,结果表明情绪和脑电图信号模式与认知技能有很大的关系。我们发现有证据表明,情绪、年龄、性别和认知技能之间存在很大的关系。
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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