Electrooculography Dataset for Objective Spatial Navigation Assessment in Healthy Participants

Mobina Zibandehpoor ¹, Fatemeh Alizadehziri ¹, Arash Abbasi Larki ¹

⁰Mechatronics Department, Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, 1631714191, Iran.

Scientific Data +

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April 1, 2025

View abstract on PubMed

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.