A software module for implementing auditory and visual feedback on a video-based eye tracking system

Bharat Rosanlall; Izidor Gertner; George A. Geri; Karl F. Arrington

doi:10.1117/12.2234846

12 May 2016 A software module for implementing auditory and visual feedback on a video-based eye tracking system

Bharat Rosanlall, Izidor Gertner, George A. Geri, Karl F. Arrington

Proceedings Volume 9844, Automatic Target Recognition XXVI; 984411 (2016) https://doi.org/10.1117/12.2234846
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

Abstract

We describe here the design and implementation of a software module that provides both auditory and visual feedback of the eye position measured by a commercially available eye tracking system. The present audio-visual feedback module (AVFM) serves as an extension to the Arrington Research ViewPoint EyeTracker, but it can be easily modified for use with other similar systems. Two modes of audio feedback and one mode of visual feedback are provided in reference to a circular area-of-interest (AOI). Auditory feedback can be either a click tone emitted when the user’s gaze point enters or leaves the AOI, or a sinusoidal waveform with frequency inversely proportional to the distance from the gaze point to the center of the AOI. Visual feedback is in the form of a small circular light patch that is presented whenever the gaze-point is within the AOI. The AVFM processes data that are sent to a dynamic-link library by the EyeTracker. The AVFM’s multithreaded implementation also allows real-time data collection (1 kHz sampling rate) and graphics processing that allow display of the current/past gaze-points as well as the AOI. The feedback provided by the AVFM described here has applications in military target acquisition and personnel training, as well as in visual experimentation, clinical research, marketing research, and sports training.

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Bharat Rosanlall, Izidor Gertner, George A. Geri, and Karl F. Arrington "A software module for implementing auditory and visual feedback on a video-based eye tracking system", Proc. SPIE 9844, Automatic Target Recognition XXVI, 984411 (12 May 2016); https://doi.org/10.1117/12.2234846

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KEYWORDS

Eye

Visualization

RGB color model

Optical tracking

Clinical research

Target acquisition

Brain

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