MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Psychomotor Impairment Detection via Finger Interactions with a Computer Keyboard During Natural Typing

Author(s)
Giancardo, Luca; Sanchez Ferro, Alvaro; Butterworth, Ian Richard; Sanchez Mendoza, Carlos; Hooker, Jacob M.
Thumbnail
DownloadGiancardo-2015-Psychomotor impairment.pdf (1.364Mb)
PUBLISHER_CC

Publisher with Creative Commons License

Creative Commons Attribution

Terms of use
Creative Commons Attribution http://creativecommons.org/licenses/by/4.0/
Metadata
Show full item record
Abstract
Modern digital devices and appliances are capable of monitoring the timing of button presses, or finger interactions in general, with a sub-millisecond accuracy. However, the massive amount of high resolution temporal information that these devices could collect is currently being discarded. Multiple studies have shown that the act of pressing a button triggers well defined brain areas which are known to be affected by motor-compromised conditions. In this study, we demonstrate that the daily interaction with a computer keyboard can be employed as means to observe and potentially quantify psychomotor impairment. We induced a psychomotor impairment via a sleep inertia paradigm in 14 healthy subjects, which is detected by our classifier with an Area Under the ROC Curve (AUC) of 0.93/0.91. The detection relies on novel features derived from key-hold times acquired on standard computer keyboards during an uncontrolled typing task. These features correlate with the progression to psychomotor impairment (p < 0.001) regardless of the content and language of the text typed, and perform consistently with different keyboards. The ability to acquire longitudinal measurements of subtle motor changes from a digital device without altering its functionality may allow for early screening and follow-up of motor-compromised neurodegenerative conditions, psychological disorders or intoxication at a negligible cost in the general population.
Date issued
2015-04
URI
http://hdl.handle.net/1721.1/97224
Department
Massachusetts Institute of Technology. Research Laboratory of Electronics
Journal
Scientific Reports
Publisher
Nature Publishing Group
Citation
Giancardo, L., A. Sanchez-Ferro, I. Butterworth, C. S. Mendoza, and J. M. Hooker. “Psychomotor Impairment Detection via Finger Interactions with a Computer Keyboard During Natural Typing.” Sci. Rep. 5 (April 16, 2015): 9678.
Version: Final published version
ISSN
2045-2322

Collections
  • MIT Open Access Articles

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.