论文标题
我的想法在哪里（看）？预测大脑活动的视觉关注
Where Is My Mind (looking at)? Predicting Visual Attention from Brain Activity
论文作者
论文摘要
视觉注意力估计是不同学科的十字路口的积极研究领域：计算机视觉，人工智能和医学。估计代表注意的显着性图的最常见方法之一是基于观察到的图像。在本文中，我们表明可以从脑电图获取中获取视觉关注。结果与观察到的图像的传统预测相媲美，这引起了人们的极大兴趣。为此，已经记录了一组信号，并开发了不同的模型来研究视觉注意力与大脑活动之间的关系。结果令人鼓舞，并且与其他方法估计注意力的其他方法相媲美。本文考虑的代码和数据集已在\ url {https://figshare.com/s/3e353bd1c6219628888ad}提供，以促进该领域的研究。
Visual attention estimation is an active field of research at the crossroads of different disciplines: computer vision, artificial intelligence and medicine. One of the most common approaches to estimate a saliency map representing attention is based on the observed images. In this paper, we show that visual attention can be retrieved from EEG acquisition. The results are comparable to traditional predictions from observed images, which is of great interest. For this purpose, a set of signals has been recorded and different models have been developed to study the relationship between visual attention and brain activity. The results are encouraging and comparable with other approaches estimating attention with other modalities. The codes and dataset considered in this paper have been made available at \url{https://figshare.com/s/3e353bd1c621962888ad} to promote research in the field.
