Abstract
The conversion of brain activity into text using electroencephalography (EEG) has gained significant traction in recent years. Many researchers are working to develop new models to decode EEG signals into text form. Although this area has shown promising developments, it still faces numerous challenges that necessitate further improvement. It's important to outline this area's recent developments and future research directions. In this review article, we thoroughly summarize the progress in EEG-to-text conversion. Firstly, we talk about how EEG-to-text technology has grown and what problems we still face. Secondly, we discuss existing techniques used in this field. This includes methods for collecting EEG data, the steps to process these signals, and the development of systems capable of translating these signals into coherent text. We conclude with potential future research directions, emphasizing the need for enhanced accuracy, reduced system constraints, and the exploration of novel applications across varied sectors. By addressing these aspects, this review aims to contribute to developing more accessible and effective Brain-Computer Interface (BCI) technology for a broader user base.
Abstract (translated)
使用电生理学（EEG）将大脑活动转换为文本的成功已经引起了许多研究人员的关注。许多研究人员正在努力开发新的模型，将EEG信号解码为文本形式。尽管这一领域已经取得了 promising 的进展，但仍然面临着许多挑战，需要进一步改进。这里概述了该领域近期的进展和未来的研究方向。在本文综述文章中，我们深入总结了 EEG-to-text 转换的进展。首先，我们谈了谈 EEG-to-text 技术的发展以及我们仍然面临的挑战。其次，我们讨论了该领域中使用的现有技术。这包括收集 EEG 数据的方法、处理这些信号的步骤以及开发可以将这些信号转换为连贯文本的系统。我们最后强调了对未来研究的潜在方向，特别强调了需要提高准确性、降低系统限制和探索新的应用，涉及各种行业。通过解决这些问题，本文旨在为更广泛的用户群体开发更易用和有效的脑机接口（BCI）技术做出贡献。
URL
https://arxiv.org/abs/2405.00726
