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

机译:无线面部界面:使用自愿注视方向和面部肌肉激活进行人机交互

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摘要

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.
机译:目前的目的是研究名为Face Interface的新无线原型的功能,该原型结合了自愿注视方向和面部肌肉激活的使用,分别用于在计算机屏幕上指向和选择对象。使用皱眉(即皱眉技术)或抬起眉毛(即皱眉技术)作为选择技术,通过一系列指向任务来评估原型的主观和客观功能。使用三个目标直径(即25,30,40 mm),七个指向距离(即60、120、180、240、260、450和520 mm)和八个指向角(0°)来测量指向任务的时间和准确性,45°,90°,135°,180°,225°,270°和315°)。结果表明,对于从60 mm到260 mm的指向距离呈现的对象,起皱技术比皱眉技术是更快的选择技术。对于那些指向距离,皱眉技术的总指向任务时间为2.4 s,抬起技术的总指向任务时间为1.6 s。菲茨定律的计算表明,对于皱眉技术,菲茨定律模型的相关系数为r = 0.77,对于起毛技术,相关系数为r = 0.51。此外,皱眉技术的性能指数(IP)值为1.9位/秒,眉毛提高技术的性能指数(IP)值为5.4位/秒。根据结果​​,该原型机运转良好且可调,因此可以将两种不同的面部激活与凝视方向结合使用,以在计算机屏幕上指向和选择对象。

著录项

  • 来源
    《Interacting with Computers》 |2012年第1期|p.1-9|共9页
  • 作者单位

    Research Croup for Emotions, Sociality, and Computing, Tampere Unit for Computer-Human Interaction (TAUCHI), School of Information Sciences, University of Tampere,Kanslerinrinne 1, FI-33014 University of Tampere, Finland;

    Research Croup for Emotions, Sociality, and Computing, Tampere Unit for Computer-Human Interaction (TAUCHI), School of Information Sciences, University of Tampere,Kanslerinrinne 1, FI-33014 University of Tampere, Finland;

    Research Croup for Emotions, Sociality, and Computing, Tampere Unit for Computer-Human Interaction (TAUCHI), School of Information Sciences, University of Tampere,Kanslerinrinne 1, FI-33014 University of Tampere, Finland,VTI Technical Research Centre of Finland, Tekniikankatu I, P.O. Box 1300, FI-33101 Tampere, Finland;

    Sensor Technology and Biomeasurements, Department of Automation Science and Engineering, Tampere University of Technology, P.O. Box 692, FI-33WI Tampere, Finland;

    Sensor Technology and Biomeasurements, Department of Automation Science and Engineering, Tampere University of Technology, P.O. Box 692, FI-33WI Tampere, Finland;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    eye tracking; facial muscle activations; human-computer interaction; fitts' law;

    机译:眼睛跟踪;面部肌肉激活;人机交互;菲茨定律;
  • 入库时间 2022-08-18 02:47:55

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