Touch-Typing Detection Using Eyewear: Toward Realizing a New Interaction for Typing Applications

Sensors (Basel). 2019 Apr 30;19(9):2022. doi: 10.3390/s19092022.

Abstract

Typing skills are important in the digital information society of this generation. As a method to improve typing speed, in this study, we focused on the training of touch typing that enables typing a key without looking at the keyboard. For support of touch-typing training, it is efficient to apply a penalty if a learner looks at the keyboard; however, to realize the penalty method, the computer needs to be able to recognize whether the learner looked at the keyboard. We, therefore, proposed a method to detect a learner's eye gaze, namely, using eyewear to detect whether the learner looked at the keyboard, and then evaluating the detection accuracy of our proposed method. We examined the necessity for our system by analyzing the relationship between a learner's eye gaze and touch-typing skills.

Keywords: JINS MEME; touch-typing; touch-typing skills estimation.

MeSH terms

  • Computer Peripherals
  • Computers*
  • Fixation, Ocular*
  • Humans
  • Learning*
  • User-Computer Interface*