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Electrooculography Dataset for Objective Spatial Navigation Assessment in Healthy Participants
Mobina Zibandehpoor1, Fatemeh Alizadehziri1, Arash Abbasi Larki1
1Mechatronics Department, Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, 1631714191, Iran.
Scientific Data
|April 1, 2025
Summary
This study introduces a dataset of electrooculography (EOG) signals to analyze eye movements during spatial navigation tasks. The data aids research into executive function and cognitive abilities.
Area of Science:
- Neuroscience
- Cognitive Science
- Human-Computer Interaction
Background:
- Executive function is crucial for decision-making and environmental comprehension.
- Eye movements offer unique insights into cognitive processing and spatial navigation.
- Existing research often lacks detailed eye-tracking data linked to navigation assessments.
Purpose of the Study:
- To present a comprehensive dataset of electrooculography (EOG) signals.
- To correlate EOG data with spatial navigation abilities assessed via the Leiden Navigation Test.
- To provide a resource for studying executive function and cognitive processes through eye movement analysis.
Main Methods:
- Collected vertical and horizontal EOG signals from 27 healthy subjects.
- Recorded EOG data during the video-watching phase of the Leiden Navigation Test.
- Included scores from the Mini-Mental State Examination and Wayfinding Questionnaire.
Main Results:
- The dataset contains raw and processed EOG signals.
- Included Wayfinding Questionnaire data on navigation, orientation, distance estimation, and spatial anxiety.
- Integrated Mini-Mental State Examination scores for cognitive assessment.
Conclusions:
- The dataset offers valuable EOG and cognitive data for spatial navigation research.
- Facilitates the investigation of eye movement patterns in relation to executive function.
- Supports the development of new methods for assessing navigational abilities.
