Comparing two webcam-based eye gaze trackers for users with severe speech and motor impairment

Agarwal, A and JeevithaShree, D and Saluja, KS and Sahay, A and Mounika, P and Sahu, A and Bhaumik, R and Rajendran, VK and Biswas, P (2019) Comparing two webcam-based eye gaze trackers for users with severe speech and motor impairment. In: 7th International Conference on Research into Design, ICoRD 2019, 9 - 11 January 2019, Bangalore, pp. 641-652.

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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.

Item Type:	Conference Paper
Publication:	Smart Innovation, Systems and Technologies
Publisher:	Springer Science and Business Media Deutschland GmbH
Additional Information:	The copyright for this article belongs to Springer Science and Business Media Deutschland GmbH.
Keywords:	Costs; High level languages; Open source software; Open systems, Assistive technology; Eye gaze trackers; Gaze tracker; Javascript; Landmark detection; Low costs; Motor impairments, Eye tracking
Department/Centre:	Division of Mechanical Sciences > Centre for Product Design & Manufacturing
Date Deposited:	23 Nov 2022 05:53
Last Modified:	23 Nov 2022 05:53
URI:	https://eprints.iisc.ac.in/id/eprint/78012

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