Do you see what I see? Mobile eye-tracker contextual analysis and inter-rater reliability.
Mobile eye-trackers are currently used during real-world tasks (e.g. gait) to monitor visual and cognitive processes, particularly in ageing and Parkinson's disease (PD). However, contextual analysis involving fixation locations during such tasks is rarely performed due to its complexity. This study...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 56; no. 2; pp. 289 - 297 |
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| Autores principales: | , , , , , , |
| Formato: | algorithm pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Feb2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=127735938&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 127735938 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Feb2018 vid: 56 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 127735938 127735938 144158358 NLM28712014 127735938 10.1007/s11517-017-1669-z NLM28712014 127735938 ppf: 289 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Do you see what I see? Mobile eye-tracker contextual analysis and inter-rater reliability. aug: au: Stuart, S. Hunt, D. Nell, J. Godfrey, A. Hausdorff, J. M. Rochester, L. Alcock, L. affil: Institute of Neuroscience/Newcastle University Institute for Ageing, Clinical Ageing Research Unit, Newcastle University, NE4 5PL, Newcastle upon Tyne, UK sug: subj: Eye Movements Eye Movement Measurements Parkinson Disease Diagnosis Aging Walking Reproducibility of Results Adult Exercise Test Case Control Studies Algorithms Funding Source Human Adult: 19-44 years ab: Mobile eye-trackers are currently used during real-world tasks (e.g. gait) to monitor visual and cognitive processes, particularly in ageing and Parkinson's disease (PD). However, contextual analysis involving fixation locations during such tasks is rarely performed due to its complexity. This study adapted a validated algorithm and developed a classification method to semi-automate contextual analysis of mobile eye-tracking data. We further assessed inter-rater reliability of the proposed classification method. A mobile eye-tracker recorded eye-movements during walking in five healthy older adult controls (HC) and five people with PD. Fixations were identified using a previously validated algorithm, which was adapted to provide still images of fixation locations (n = 116). The fixation location was manually identified by two raters (DH, JN), who classified the locations. Cohen's kappa correlation coefficients determined the inter-rater reliability. The algorithm successfully provided still images for each fixation, allowing manual contextual analysis to be performed. The inter-rater reliability for classifying the fixation location was high for both PD (kappa = 0.80, 95% agreement) and HC groups (kappa = 0.80, 91% agreement), which indicated a reliable classification method. This study developed a reliable semi-automated contextual analysis method for gait studies in HC and PD. Future studies could adapt this methodology for various gait-related eye-tracking studies. pubtype: Academic Journal doctype: algorithm pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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