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Comparing Two Webcam-Based Eye Gaze Trackers for Users with Severe Speech and Motor Impairment

  • Ayush Agarwal
  • DV JeevithaShree
  • Kamalpreet Singh Saluja
  • Atul Sahay
  • Pullikonda Mounika
  • Anshuman Sahu
  • Rahul Bhaumik
  • Vinodh Kumar Rajendran
  • Pradipta BiswasEmail author
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 135)

Abstract

This paper aims to develop and evaluate two different webcam-based gaze-controlled interfaces for users with severe speech and motor impairment (SSMI). We configured two webcam-based gaze trackers using open-source software (Python and JavaScript) and developed cursor control algorithm using the gaze tracker. We designed a quiz application to evaluate the webcam-based gaze trackers for both users with SSMI and their able-bodied counterparts. We also collected data using a commercial infrared-based eye gaze tracker. We noted that users with SSMI and able- bodied users could use the webcam-based gaze-controlled interface. It was found that for users with SSMI, speed of interaction was significantly faster for a low-cost infrared-based commercial gaze. Results from this study can be used to develop as well as select low-cost eye gaze trackers for users with SSMI. This might be the first study to evaluate webcam-based gaze trackers in a gaze-controlled interface for users with different range of abilities

Keywords

Eye gaze tracker Gaze-controlled interface Landmark detection Assistive technology 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Ayush Agarwal
    • 2
  • DV JeevithaShree
    • 1
  • Kamalpreet Singh Saluja
    • 1
  • Atul Sahay
    • 2
  • Pullikonda Mounika
    • 1
  • Anshuman Sahu
    • 1
  • Rahul Bhaumik
    • 1
  • Vinodh Kumar Rajendran
    • 1
  • Pradipta Biswas
    • 1
    Email author
  1. 1.CPDM, Indian Institute of ScienceBangaloreIndia
  2. 2.Indian Institute of Information TechnologyKalyaniIndia

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