Skip to Main content Skip to Navigation
Conference papers

TTracker: Using Finger Detection to Improve Touch Typing Training

Abstract : Touch typing software teaches a user to use the correct finger combinations with the correct keyboard buttons. The ultimate goal is to teach the typist to type faster, more accurately and ergonomically correct. Our research presents the working prototype of a software and hardware setup that tracks not only the speed and accuracy of the correct buttons being pressed but also which fingers are used to press them; a dimension of training that has previously not been integrated into touch typing tutorials. We use novel technology (leap motion) to detect the accurate interaction between the user and the keyboard, giving precise feedback to the user in order for him or her to improve.
Document type :
Conference papers
Complete list of metadata

Cited literature [7 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Wednesday, January 10, 2018 - 11:31:47 AM
Last modification on : Wednesday, January 10, 2018 - 11:36:33 AM
Long-term archiving on: : Friday, May 4, 2018 - 8:21:29 AM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Elvin Kollie, Fernando Loizides, Thomas Hartley, Adam Worrallo. TTracker: Using Finger Detection to Improve Touch Typing Training. 16th IFIP Conference on Human-Computer Interaction (INTERACT), Sep 2017, Bombay, India. pp.469-472, ⟨10.1007/978-3-319-68059-0_53⟩. ⟨hal-01679825⟩



Record views


Files downloads