Combining Mouse and Keyboard Events with Higher Level Desktop Actions to Detect Mild Cognitive Impairment

Gledson, Ann; Asfiandy, Dommy; Mellor, Joseph; Ba-Dhfari, Thamer; Stringer, Gemma; Couth, Samuel; Burns, Alistair; Leroi, Iracema; Zeng, Xiao‐Jun; Keane, John; Bull, Christopher; Rayson, Paul; Sutcliffe﻿, Alistair; Sawyer, Pete

doi:10.1109/ichi.2016.22

Cited by 8 publications

(4 citation statements)

References 20 publications

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“…Specially developed recording software (for further details, see Gledson et al and Bull et al) captured computer use behaviours as a list of time‐stamped events. In‐line with previous research, the current study focussed on behaviours relating to mouse operations, keystrokes, and speed of use …”

Section: Methodsmentioning

confidence: 99%

Can you detect early dementia from an email? A proof of principle study of daily computer use to detect cognitive and functional decline

Stringer

Couth

Brown

et al. 2018

Int J Geriat Psychiatry

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ObjectiveTo determine whether multiple computer use behaviours can distinguish between cognitively healthy older adults and those in the early stages of cognitive decline, and to investigate whether these behaviours are associated with cognitive and functional ability.MethodsOlder adults with cognitive impairment (n = 20) and healthy controls (n = 24) completed assessments of cognitive and functional abilities and a series of semi‐directed computer tasks. Computer use behaviours were captured passively using bespoke software.ResultsThe profile of computer use behaviours was significantly different in cognitively impaired compared with cognitively healthy control participants including more frequent pauses, slower typing, and a higher proportion of mouse clicks. These behaviours were significantly associated with performance on cognitive and functional assessments, in particular, those related to memory.ConclusionUnobtrusively capturing computer use behaviours offers the potential for early detection of neurodegeneration in non‐clinical settings, which could enable timely interventions to ultimately improve long‐term outcomes.

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Section: Methodsmentioning

confidence: 99%

Can you detect early dementia from an email? A proof of principle study of daily computer use to detect cognitive and functional decline

Stringer

Couth

Brown

et al. 2018

Int J Geriat Psychiatry

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“…More in general, a comprehensive user analysis must involve the monitoring of multiple behavior including typing, menu navigation, swipes, drawing and activity understanding [95], [38]. Unfortunately, no works are still available in this direction considering a mobile device, so that it can be considered an open field of research.…”

Section: Keystroke/tactile/touch Analysismentioning

confidence: 99%

Online Handwriting, Signature and Touch Dynamics: Tasks and Potential Applications in the Field of Security and Health

2021

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Background: An advantageous property of behavioural signals (e.g. handwriting), in contrast to morphological ones, such as iris, fingerprint, hand geometry, etc., is the possibility to ask a user for a very rich amount of different tasks.Methods: This article summarises recent findings and applications of different handwriting/drawing tasks in the field of security and health. More specifically, it is focused on on-line handwriting and hand-based interaction, i.e. signals that utilise a digitizing device (specific devoted or general-purpose tablet/smartphone) during the realization of the tasks. Such devices permit the acquisition of onsurface dynamics as well as in-air movements in time, thus providing complex and richer information when compared to the conventional "pen and paper" method.Conclusions: Although the scientific literature reports a wide range of tasks and applications, in this paper, we summarize only those providing competitive results (e.g. in terms of discrimination power) and having a significant impact in the field. KeywordsDrawing • Online handwriting • Signature • Tasks • Touch Dynamics 1 Introduction Signature/handwriting recognition can be split into two categories: off-line and online [2, 24, 90]. In the former case, just the result of the signature/writing (i.e. static

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“…After all, the observed timing histogram is the result of neural and motor processes which, if correctly modeled, can shed light on the physical and emotional state of the user. In the same way that the mean flight time is highly correlated with typing proficiency and its variance can help to classify the emotional state of the user [32] or detect cognitive impairment [33], the parameters of the highest ranking distributions should offer some kind of insight into the underlying processes.…”

Section: Problem Statementmentioning

confidence: 99%

On the shape of timings distributions in free-text keystroke dynamics profiles

González

Calot

Ierache

et al. 2021

Heliyon

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Keystroke dynamics is a soft biometric trait. Although the shape of the timing distributions in keystroke dynamics profiles is a central element for the accurate modeling of the behavioral patterns of the user, a simplified approach has been to presuppose normality. Careful consideration of the individual shapes for the timing models could lead to improvements in the error rates of current methods or possibly inspire new ones. The main objective of this study is to compare several heavy-tailed and positively skewed candidate distributions in order to rank them according to their merit for fitting timing histograms in keystroke dynamics profiles. Results are summarized in three ways: counting how many times each candidate distribution provides the best fit and ranking them in order of success, measuring average information content, and ranking candidate distributions according to the frequency of hypothesis rejection with an Anderson-Darling goodness of fit test. Seven distributions with two parameters and seven with three were evaluated against three publicly available free-text keystroke dynamics datasets. The results confirm the established use in the research community of the log-normal distribution, in its two-and three-parameter variations, as excellent choices for modeling the shape of timings histograms in keystroke dynamics profiles. However, the log-logistic distribution emerges as a clear winner among all two-and three-parameter candidates, consistently surpassing the log-normal and all the rest under the three evaluation criteria for both hold and flight times.

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Combining Mouse and Keyboard Events with Higher Level Desktop Actions to Detect Mild Cognitive Impairment

Cited by 8 publications

References 20 publications

Can you detect early dementia from an email? A proof of principle study of daily computer use to detect cognitive and functional decline

Can you detect early dementia from an email? A proof of principle study of daily computer use to detect cognitive and functional decline

Online Handwriting, Signature and Touch Dynamics: Tasks and Potential Applications in the Field of Security and Health

On the shape of timings distributions in free-text keystroke dynamics profiles

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