• DocumentCode
    3010200
  • Title

    Analysis of engagement factor in trajectory tracking-based experiment

  • Author

    Ismail, Elliana ; Sidek, Shahrul Na´im ; Khan, Md Raisuddin ; Jalaludin, Nor Anija

  • Author_Institution
    Dept. of Mechatron. Eng., Univ. Malaysia, Kuala Lumpur, Malaysia
  • fYear
    2012
  • fDate
    3-5 July 2012
  • Firstpage
    787
  • Lastpage
    791
  • Abstract
    The main objective of this work is to study the degree of engagement levels of human subjects in completing a series of tasks based on their physiological signals. The tasks are in the form of tracking a set of trajectories on the computer screen by using a mouse... The subjects are chosen randomly based on both sexes, aged from 20 to 40 years old. After completing the required tasks in a series of experiments, the subjects are given a set of questions to answer In particular, for the experiment, the subjects are asked to track a set of prescribed paths within the allocated times in order to adhere to different speed constraints. Various shapes of trajectories with various colours are given to the subjects in order to study the degree of engagements while performing the tasks. In estimating the degree of engagement level, the physiological signals; namely the electrooculogram (EOG) are recorded by using the G-tec data acquisition system. By using these signals, information on the endogenous type of eye blinking is extracted. After completing the experiments, a set of questionnaires are given to the subjects to measure the degree of engagement level. The questionnaire works as an important tool to validate the engagement model deduced from the experiment done earlier by the subjects. Preliminary analysis on the questionnaire shows a good match to the deduction made from the experimental results.
  • Keywords
    data acquisition; electro-oculography; feature extraction; medical signal processing; EOG; G-tec data acquisition system; computer screen; degree of engagement level; electrooculogram; engagement factor analysis; eye blinking extraction; physiological signals; trajectory tracking-based experiment; Correlation; Electrooculography; Humans; Mechatronics; Noise; Trajectory; Visualization; Electrooculogram (EOG); Endogenous eye blink; Engagement factor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Communication Engineering (ICCCE), 2012 International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4673-0478-8
  • Type

    conf

  • DOI
    10.1109/ICCCE.2012.6271325
  • Filename
    6271325