Psychomotor Impairment Detection via Finger Interactions with a Computer Keyboard During Natural Typing
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. Multipl...
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| Format: | Article |
| Language: | en_US |
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Nature Publishing Group
2015
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| Online Access: | http://hdl.handle.net/1721.1/97224 https://orcid.org/0000-0002-8784-1624 https://orcid.org/0000-0002-8568-7432 https://orcid.org/0000-0002-4862-2277 |
| _version_ | 1826203811283206144 |
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| author | Giancardo, Luca Sanchez Ferro, Alvaro Butterworth, Ian Richard Sanchez Mendoza, Carlos Hooker, Jacob M. |
| author2 | Massachusetts Institute of Technology. Research Laboratory of Electronics |
| author_facet | Massachusetts Institute of Technology. Research Laboratory of Electronics Giancardo, Luca Sanchez Ferro, Alvaro Butterworth, Ian Richard Sanchez Mendoza, Carlos Hooker, Jacob M. |
| author_sort | Giancardo, Luca |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T12:43:54Z |
| format | Article |
| id | mit-1721.1/97224 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T12:43:54Z |
| publishDate | 2015 |
| publisher | Nature Publishing Group |
| record_format | dspace |
| spelling | mit-1721.1/972242022-09-28T09:40:29Z Psychomotor Impairment Detection via Finger Interactions with a Computer Keyboard During Natural Typing Giancardo, Luca Sanchez Ferro, Alvaro Butterworth, Ian Richard Sanchez Mendoza, Carlos Hooker, Jacob M. Massachusetts Institute of Technology. Research Laboratory of Electronics Giancardo, Luca Sanchez Ferro, Alvaro Butterworth, Ian Richard Sanchez Mendoza, Carlos Hooker, Jacob M. 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. Comunidad de Madrid 2015-06-08T18:28:26Z 2015-06-08T18:28:26Z 2015-04 2014-12 Article http://purl.org/eprint/type/JournalArticle 2045-2322 http://hdl.handle.net/1721.1/97224 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. https://orcid.org/0000-0002-8784-1624 https://orcid.org/0000-0002-8568-7432 https://orcid.org/0000-0002-4862-2277 en_US http://dx.doi.org/10.1038/srep09678 Scientific Reports Creative Commons Attribution http://creativecommons.org/licenses/by/4.0/ application/pdf Nature Publishing Group Nature Publishing Group |
| spellingShingle | Giancardo, Luca Sanchez Ferro, Alvaro Butterworth, Ian Richard Sanchez Mendoza, Carlos Hooker, Jacob M. Psychomotor Impairment Detection via Finger Interactions with a Computer Keyboard During Natural Typing |
| title | Psychomotor Impairment Detection via Finger Interactions with a Computer Keyboard During Natural Typing |
| title_full | Psychomotor Impairment Detection via Finger Interactions with a Computer Keyboard During Natural Typing |
| title_fullStr | Psychomotor Impairment Detection via Finger Interactions with a Computer Keyboard During Natural Typing |
| title_full_unstemmed | Psychomotor Impairment Detection via Finger Interactions with a Computer Keyboard During Natural Typing |
| title_short | Psychomotor Impairment Detection via Finger Interactions with a Computer Keyboard During Natural Typing |
| title_sort | psychomotor impairment detection via finger interactions with a computer keyboard during natural typing |
| url | http://hdl.handle.net/1721.1/97224 https://orcid.org/0000-0002-8784-1624 https://orcid.org/0000-0002-8568-7432 https://orcid.org/0000-0002-4862-2277 |
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