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

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Security of data
Experiments
Monitoring

Bibliographical note

© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Keywords

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

Cite this

Gledson, A., Asfiandy, D., Mellor, J., Omer Faraj Ba-Dhfari, T., Stringer, G., Couth, S., ... Sawyer, P. H. (2016). Combining mouse and keyboard events with higher level desktop actions to detect mild cognitive impairment. In 2016 IEEE International Conference on Healthcare Informatics (ICHI) IEEE. https://doi.org/10.1109/ICHI.2016.22
Gledson, Ann ; Asfiandy, Dommy ; Mellor, Joseph ; Omer Faraj Ba-Dhfari, Thamer ; Stringer, Gemma ; Couth, Samuel ; Burns, Alistair ; Leroi, Iracema ; Zeng, Xiao-Jun ; Keane, John ; Bull, Christopher Neil ; Rayson, Paul Edward ; Sutcliffe, Alistair Gordon Simpson ; Sawyer, Peter Harvey. / Combining mouse and keyboard events with higher level desktop actions to detect mild cognitive impairment. 2016 IEEE International Conference on Healthcare Informatics (ICHI). IEEE, 2016.
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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.",
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Gledson, A, Asfiandy, D, Mellor, J, Omer Faraj Ba-Dhfari, T, Stringer, G, Couth, S, Burns, A, Leroi, I, Zeng, X-J, Keane, J, Bull, CN, Rayson, PE, Sutcliffe, AGS & Sawyer, PH 2016, Combining mouse and keyboard events with higher level desktop actions to detect mild cognitive impairment. in 2016 IEEE International Conference on Healthcare Informatics (ICHI). IEEE. https://doi.org/10.1109/ICHI.2016.22

Combining mouse and keyboard events with higher level desktop actions to detect mild cognitive impairment. / Gledson, Ann; Asfiandy, Dommy; Mellor, Joseph; Omer Faraj Ba-Dhfari, Thamer; Stringer, Gemma; Couth, Samuel; Burns, Alistair; Leroi, Iracema; Zeng, Xiao-Jun; Keane, John; Bull, Christopher Neil; Rayson, Paul Edward; Sutcliffe, Alistair Gordon Simpson; Sawyer, Peter Harvey.

2016 IEEE International Conference on Healthcare Informatics (ICHI). IEEE, 2016.

Research output: Chapter in Book/Report/Conference proceedingChapter

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AU - Stringer, Gemma

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AU - Burns, Alistair

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AU - Keane, John

AU - Bull, Christopher Neil

AU - Rayson, Paul Edward

AU - Sutcliffe, Alistair Gordon Simpson

AU - Sawyer, Peter Harvey

N1 - © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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N2 - 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.

AB - 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.

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Gledson A, Asfiandy D, Mellor J, Omer Faraj Ba-Dhfari T, Stringer G, Couth S et al. Combining mouse and keyboard events with higher level desktop actions to detect mild cognitive impairment. In 2016 IEEE International Conference on Healthcare Informatics (ICHI). IEEE. 2016 https://doi.org/10.1109/ICHI.2016.22