Work

A simultaneous EEG and eye-tracking dataset for remote sensing object detection

Year: 2025

Type: data-paper

Abstract: We introduce the EEGET-RSOD, a simultaneous electroencephalography (EEG) and eye-tracking dataset for remote sensing object detection. This dataset contains EEG and eye-tracking data when 38 remote sensing experts located specific objects in 1,000 remote sensing images within a limited time frame. This task reflects the typical cognitive processes associated with human visual search and object identification in remote sensing imagery. To our knowledge, EEGET-RSOD is the first publicly available dataset to offer synchronized eye-tracking and EEG data for remote sensing images. This dataset will not only advance the study of human visual cognition in real-world environment, but also bridge the gap between human cognition and artificial intelligence, enhancing the interpretability and reliability of AI models in geospatial applications.

Source: Scientific Data

DOI: 10.1038/s41597-025-04995-w

Authors: Bing He, Hongqiang Zhang, Tong Qin, Bowen Shi, Qiao Wang, Weihua Dong

Institutions: Beijing Normal University, State Key Laboratory of Earth Surface Processes and Resource Ecology, Ghent University, Hong Kong Polytechnic University

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $2,490

Funders: National Natural Science Foundation of China, Key Programme