Presentation
Advancements in Eye-Tracking For Directional Control: Applications, Approaches, and Current Challenges
DescriptionHands-free control through eye-tracking technology offers a promising alternative to manual input in human-computer interaction, with potential applications across healthcare, agriculture, military operations, and transportation. However, several challenges remain in the development and deployment of eye-controlled systems, including tracking accuracy and stability, system response time and latency, as well as user fatigue and comfort.
To better understand the current landscape, we conducted a literature review to: (1) examine applications of eye-tracking technology in remote control and teleoperation; (2) analyze the algorithms and approaches used in hands-free eye-tracking systems; and (3) explore complementary devices and strategies that address real-world challenges in eye-controlled applications.
Our review found that eye-tracking technology has shown significant potential for directional control in wheelchairs, UAVs, robotic cars, VR environments, and broader human-computer interfaces. While algorithmic advances and system integration have driven progress, inconsistencies in evaluation methods and limited testing samples undermine the reliability of these systems for practical deployment.
Future research should prioritize standardizing evaluation protocols, expanding testing populations, and addressing issues related to usability, safety, and user comfort to support the broader adoption of eye-tracking-based control systems in real-world settings.
To better understand the current landscape, we conducted a literature review to: (1) examine applications of eye-tracking technology in remote control and teleoperation; (2) analyze the algorithms and approaches used in hands-free eye-tracking systems; and (3) explore complementary devices and strategies that address real-world challenges in eye-controlled applications.
Our review found that eye-tracking technology has shown significant potential for directional control in wheelchairs, UAVs, robotic cars, VR environments, and broader human-computer interfaces. While algorithmic advances and system integration have driven progress, inconsistencies in evaluation methods and limited testing samples undermine the reliability of these systems for practical deployment.
Future research should prioritize standardizing evaluation protocols, expanding testing populations, and addressing issues related to usability, safety, and user comfort to support the broader adoption of eye-tracking-based control systems in real-world settings.
Event Type
Lecture
TimeTuesday, October 14th3pm - 3:20pm CDT
LocationGrand Hall K
Student Forum
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