Home > Research > Publications & Outputs > Combining mouse and keyboard events with higher...

Electronic data

Links

Text available via DOI:

View graph of relations

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

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

Standard

Combining mouse and keyboard events with higher level desktop actions to detect mild cognitive impairment. / Gledson, Ann; Asfiandy, Dommy; Mellor, Joseph et al.
Healthcare Informatics (ICHI), 2016 IEEE International Conference on. IEEE, 2016.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

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 Healthcare Informatics (ICHI), 2016 IEEE International Conference on. IEEE. https://doi.org/10.1109/ICHI.2016.22

APA

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, C. N., Rayson, P. E., Sutcliffe, A. G. S., & Sawyer, P. H. (2016). Combining mouse and keyboard events with higher level desktop actions to detect mild cognitive impairment. In Healthcare Informatics (ICHI), 2016 IEEE International Conference on IEEE. https://doi.org/10.1109/ICHI.2016.22

Vancouver

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 Healthcare Informatics (ICHI), 2016 IEEE International Conference on. IEEE. 2016 doi: 10.1109/ICHI.2016.22

Author

Gledson, Ann ; Asfiandy, Dommy ; Mellor, Joseph et al. / Combining mouse and keyboard events with higher level desktop actions to detect mild cognitive impairment. Healthcare Informatics (ICHI), 2016 IEEE International Conference on. IEEE, 2016.

Bibtex

@inproceedings{b949bf779e194ab9827f1a605c0362d8,
title = "Combining mouse and keyboard events with higher level desktop actions to detect mild cognitive impairment",
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{\textquoteright} 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{\textquoteright} computers.",
keywords = "dementia, mouse dynamics, keystroke dynamics, data mining, medical informatics",
author = "Ann Gledson and Dommy Asfiandy and Joseph Mellor and {Omer Faraj Ba-Dhfari}, Thamer and Gemma Stringer and Samuel Couth and Alistair Burns and Iracema Leroi and Xiao-Jun Zeng and John Keane and Bull, {Christopher Neil} and Rayson, {Paul Edward} and Sutcliffe, {Alistair Gordon Simpson} and Sawyer, {Peter Harvey}",
year = "2016",
month = oct,
day = "4",
doi = "10.1109/ICHI.2016.22",
language = "English",
isbn = "9781509061181",
booktitle = "Healthcare Informatics (ICHI), 2016 IEEE International Conference on",
publisher = "IEEE",

}

RIS

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 -