Electrooculography Dataset for Objective Spatial Navigation Assessment in Healthy Participants
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arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866913575676674048 |
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| author | Zibandehpoor, Mobina Alizadehziri, Fatemeh Larki, Arash Abbasi Teymouri, Sobhan Delrobaei, Mehdi |
| author_facet | Zibandehpoor, Mobina Alizadehziri, Fatemeh Larki, Arash Abbasi Teymouri, Sobhan Delrobaei, Mehdi |
| contents | In the quest for understanding human executive function, eye movements represent a unique insight into how we process and comprehend our environment. Eye movements reveal patterns in how we focus, navigate, and make decisions across various contexts. The proposed dataset includes electrooculography (EOG) signals from 27 healthy subjects, capturing both vertical and horizontal eye movements. The recorded signals were obtained during the video-watching stage of the Leiden Navigation Test, designed to assess spatial navigation abilities. In addition to other data, the dataset includes scores from the Mini- Mental State Examination and the Wayfinding Questionnaire. The dataset comprises carefully curated components, including relevant information, the Mini-Mental State Examination scores, and the Wayfinding Questionnaire scores, encompassing navigation, orientation, distance estimation, spatial anxiety, as well as raw and processed EOG signals. These assessments contribute more information about the participants' cognitive function and navigational abilities. This dataset can be valuable for researchers investigating spatial navigation abilities through EOG signal analysis. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_06811 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Electrooculography Dataset for Objective Spatial Navigation Assessment in Healthy Participants Zibandehpoor, Mobina Alizadehziri, Fatemeh Larki, Arash Abbasi Teymouri, Sobhan Delrobaei, Mehdi Human-Computer Interaction In the quest for understanding human executive function, eye movements represent a unique insight into how we process and comprehend our environment. Eye movements reveal patterns in how we focus, navigate, and make decisions across various contexts. The proposed dataset includes electrooculography (EOG) signals from 27 healthy subjects, capturing both vertical and horizontal eye movements. The recorded signals were obtained during the video-watching stage of the Leiden Navigation Test, designed to assess spatial navigation abilities. In addition to other data, the dataset includes scores from the Mini- Mental State Examination and the Wayfinding Questionnaire. The dataset comprises carefully curated components, including relevant information, the Mini-Mental State Examination scores, and the Wayfinding Questionnaire scores, encompassing navigation, orientation, distance estimation, spatial anxiety, as well as raw and processed EOG signals. These assessments contribute more information about the participants' cognitive function and navigational abilities. This dataset can be valuable for researchers investigating spatial navigation abilities through EOG signal analysis. |
| title | Electrooculography Dataset for Objective Spatial Navigation Assessment in Healthy Participants |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2411.06811 |