Emotion recognition technology through analyzing the EEG signal is currently an essential concept in Artificial Intelligence and holds great potential in emotional health care, human-computer interaction, multimedia content recommendation, etc. Though there have been several works devoted to reviewing EEG-based emotion recognition, the content of these reviews needs to be updated. In addition, those works are either fragmented in content or only focus on specific techniques adopted in this area but neglect the holistic perspective of the entire technical routes. Hence, in this paper, we review from the perspective of researchers who try to take the first step on this topic. We review the recent representative works in the EEG-based emotion recognition research and provide a tutorial to guide the researchers to start from the beginning. The scientific basis of EEG-based emotion recognition in the psychological and physiological levels is introduced. Further, we categorize these reviewed works into different technical routes and illustrate the theoretical basis and the research motivation, which will help the readers better understand why those techniques are studied and employed. At last, existing challenges and future investigations are also discussed in this paper, which guides the researchers to decide potential future research directions.

通过分析脑电信号的情绪识别技术是目前人工智能中的一个基本概念，在情绪保健、人机交互、多媒体内容推荐等方面具有巨大的潜力。虽然已经有几项工作致力于回顾基于脑电的情绪识别，这些评论的内容需要更新。此外，这些作品要么内容零散，要么只关注该领域采用的具体技术，而忽视了整个技术路线的整体视角。因此，在本文中，我们从试图在该主题上迈出第一步的研究人员的角度进行回顾。我们回顾了最近在基于脑电图的情绪识别研究中的代表作，并提供了一个教程来指导研究人员从头开始。介绍了基于脑电图的情绪识别在心理和生理层面的科学依据。此外，我们将这些综述作品分为不同的技术路线，并说明理论基础和研究动机，这将有助于读者更好地理解为什么要研究和采用这些技术。最后，本文还讨论了现有的挑战和未来的调查，指导研究人员决定未来潜在的研究方向。