Performance analysis of HMI system based on PCA

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This work proposes a performance analysis method based on Principal Component Analysis (PCA) for the skill quantification during several pursuit manual tracking tasks, which may occur in human-machine manual operations such as piloting, driving and navigation. A set of increased difficulty tracking experiments was made and analyzed using an 8-bit analog joystick human-machine interface (HMI). This PCA methodology based on the projections of the observation data which optimally captures the data variations, has confirmed to differentiate better the computed human-machine performance of the common operator/task, and can be used as a precision skill observer for a human machine assist-controller electronic device.
Original languageEnglish
Title of host publicationConference on Human System Interaction
Pages118-122
ISBN (Electronic)978-1-4799-4714-0
DOIs
Publication statusPublished - 2014
Event7TH INTERNATIONAL CONFERENCE ON HUMAN SYSTEM INTERACTIONS (HSI) -
Duration: 1 Jan 2014 → …

Conference

Conference7TH INTERNATIONAL CONFERENCE ON HUMAN SYSTEM INTERACTIONS (HSI)
Period1/01/14 → …

Keywords

  • human-machine interface systems
  • manual pursuit tracking
  • principal component analysis
  • skill analysis

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  • Cite this

    Antunes, R. M., Palma, L. F. F. D. B., Coito, F. J. A. V. D., & Duarte-Ramos, H. (2014). Performance analysis of HMI system based on PCA. In Conference on Human System Interaction (pp. 118-122) https://doi.org/10.1109/HSI.2014.6860459