Wireless Face Interface: Using voluntary gaze direction and facial muscle activations for human-computer interaction

Outi Tuisku (Corresponding Author), Veikko Surakka, Toni Vanhala, Ville Rantanen, Jukka Lekkala

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

The present aim was to investigate the functionality of a new wireless prototype called Face Interface. The prototype combines the use of voluntary gaze direction and facial muscle activations, for pointing and selecting objects on a computer screen, respectively. The subjective and objective functionality of the prototype was evaluated with a series of pointing tasks using either frowning (i.e., frowning technique) or raising the eyebrows (i.e., raising technique) as the selection technique. Pointing task times and accuracies were measured using three target diameters (i.e., 25, 30, 40 mm), seven pointing distances (i.e., 60, 120, 180, 240, 260, 450, and 520 mm), and eight pointing angles (0°, 45°, 90°, 135°, 180°, 225°, 270°, and 315°). The results showed that the raising technique was faster selection technique than the frowning technique for the objects that were presented in the pointing distances from 60 mm to 260 mm. For those pointing distances the overall pointing task times were 2.4 s for the frowning technique, and 1.6 s for the raising technique. Fitts’ law computations showed that the correlations for the Fitts’ law model were r = 0.77 for the frowning technique and r = 0.51 for the raising technique. Further, the index of performance (IP) value was 1.9 bits/s for the frowning technique and 5.4 bits/s for raising the eyebrows technique. Based on the results, the prototype functioned well and was adjustable so that two different facial activations can be used in combination with gaze direction for pointing and selecting objects on a computer screen.
Original languageEnglish
Pages (from-to)1-9
JournalInteracting with Computers
Volume24
Issue number1
DOIs
Publication statusPublished - 2012
MoE publication typeA1 Journal article-refereed

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Keywords

  • Eye Tracking
  • Facial Muscle Activations
  • Human-Computer Interaction
  • Fitts law

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