Combining mouse and keyboard events with higher level desktop actions to detect mild cognitive impairment

Ann Gledson, Dommy Asfiandy, Joseph Mellor, Thamer Omer Faraj Ba-Dhfari, Gemma Stringer, Samuel Couth, Alistair Burns, Iracema Leroi, Xiao-Jun Zeng, John Keane, Christopher Neil Bull, Paul Edward Rayson, Alistair Gordon Simpson Sutcliffe, Peter Harvey Sawyer

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

We present a desktop monitoring application that combines keyboard, mouse, desktop and application-level activities. It has been developed to discover differences in cognitive functioning amongst older computer users indicative of mild cognitive impairment (MCI). Following requirements capture from clinical domain experts, the tool collects all Microsoft Windows events deemed potentially useful for detecting early clinical indicators of dementia, with a view to further analysis to determine the most pertinent. Further requirements capture from potential end-users has resulted in a system that has little impact on users? daily activities and ensures data security from initial recording of events through to data analysis. We describe two experiments: firstly, volunteers were asked to perform a short set of known tasks; the second (ongoing) experiment is a longitudinal study, with the software currently successfully running on participants? computers.
Original languageEnglish
Title of host publication2016 IEEE International Conference on Healthcare Informatics (ICHI)
PublisherIEEE
ISBN (Print)9781509061181
DOIs
Publication statusPublished - 4 Oct 2016

Bibliographical note

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Keywords

  • dementia
  • mouse dynamics
  • keystroke dynamics
  • data mining
  • medical informatics

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