Monitoring dementia with automatic eye movements analysis

Yanxia Zhang; Thomas Wilcockson; Kwang In Kim; Trevor Jeremy Crawford; Hans-Werner Georg Gellersen; Peter Harvey Sawyer

doi:10.1007/978-3-319-39627-9_26

Monitoring dementia with automatic eye movements analysis

Yanxia Zhang, Thomas Wilcockson, Kwang In Kim, Trevor Jeremy Crawford, Hans-Werner Georg Gellersen, Peter Harvey Sawyer

Engineering & Applied Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Eye movement patterns are found to reveal human cognitive and mental states that can not be easily measured by other biological signals. With the rapid development of eye tracking technologies, there are growing interests in analysing gaze data to infer information about people? cognitive states, tasks and activities performed in naturalistic environments. In this paper, we investigate the link between eye movements and cognitive function. We conducted experiments to record subject?s eye movements during video watching. By using computational methods, we identified eye movement features that are correlated to people?s cognitive health measures obtained through the standard cognitive tests. Our results show that it is possible to infer people?s cognitive function by analysing natural gaze behaviour. This work contributes an initial understanding of monitoring cognitive deterioration and dementia with automatic eye movement analysis.

Original language	English
Title of host publication	Intelligent Decision Technologies 2016
Publisher	Springer
Pages	299-309
Number of pages	11
ISBN (Print)	9783319396262
DOIs	https://doi.org/10.1007/978-3-319-39627-9_26
Publication status	Published - 9 Jun 2016

Publication series

Name	Smart Innovation, Systems and Technologies

Keywords

Machine learning
Eye movements analysis
Health monitoring
Dementia
Cognitive function
COGNITIVE IMPAIRMENT
ALZHEIMERS-DISEASE
INHIBITORY CONTROL
MEMORY

Access to Document

10.1007/978-3-319-39627-9_26

https://link.springer.com/chapter/10.1007/978-3-319-39627-9_26

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Profiles

Peter Sawyer

Engineering & Applied Science
Computer Science - Professor in Computer Science

Person: Academic

Cite this

Zhang, Y., Wilcockson, T., Kim, K. I., Crawford, T. J., Gellersen, H-W. G., & Sawyer, P. H. (2016). Monitoring dementia with automatic eye movements analysis. In Intelligent Decision Technologies 2016 (pp. 299-309). (Smart Innovation, Systems and Technologies). Springer. https://doi.org/10.1007/978-3-319-39627-9_26

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Monitoring dementia with automatic eye movements analysis. / Zhang, Yanxia; Wilcockson, Thomas; Kim, Kwang In; Crawford, Trevor Jeremy; Gellersen, Hans-Werner Georg; Sawyer, Peter Harvey.

Intelligent Decision Technologies 2016. Springer, 2016. p. 299-309 (Smart Innovation, Systems and Technologies).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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