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Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - Combining mouse and keyboard events with higher level desktop actions to detect mild cognitive impairment
AU - Gledson, Ann
AU - Asfiandy, Dommy
AU - Mellor, Joseph
AU - Omer Faraj Ba-Dhfari, Thamer
AU - Stringer, Gemma
AU - Couth, Samuel
AU - Burns, Alistair
AU - Leroi, Iracema
AU - Zeng, Xiao-Jun
AU - Keane, John
AU - Bull, Christopher Neil
AU - Rayson, Paul Edward
AU - Sutcliffe, Alistair Gordon Simpson
AU - Sawyer, Peter Harvey
PY - 2016/10/4
Y1 - 2016/10/4
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.
KW - dementia
KW - mouse dynamics
KW - keystroke dynamics
KW - data mining
KW - medical informatics
U2 - 10.1109/ICHI.2016.22
DO - 10.1109/ICHI.2016.22
M3 - Conference contribution/Paper
SN - 9781509061181
BT - Healthcare Informatics (ICHI), 2016 IEEE International Conference on
PB - IEEE
ER -