Icon Legend

This session is not in your schedule.

This session is in your schedule. Click again to remove it.

Device Technologies and Biomedical Robotics

Biohybrid Systems and Human-Machine Interfaces

Persistent Human–Machine Interfaces for Robotic Arm Control Via Gaze and Eye Direction Tracking

Thursday, October 12, 2023

3:30 PM – 3:45 PM PDT

Location: 342 (Center, Level 3)

Presenting Author(s)

Yoon Jae Lee (he/him/his)

Graduate Research Assistant
Georgia Institute of Technology
Atlanta, Georgia, United States

Co-Author(s)

SB

Seunghyeb Ban

Washington State University, United States
JK

Jong-Hoon Kim

Washington State University, United States

Primary Investigator(s)

Woon-hong Yeo, PhD (he/him/his)

Harris Saunders Jr. Endowed Professor
Georgia Institute of Technology
Atlanta, Georgia, United States

Recent advances in sensors and electronics have enabled electrooculogram (EOG) wearable systems for capturing eye movements. However, EOG signals are susceptible to the sensor's skin-contact quality, limiting precise eye angles and gaze detection. To address this, we introduce a two-camera eye-tracking system and a data classification method for human-machine interfaces (HMIs), focusing on medical applications. This system holds promise in incorporating Human-Machine Interface (HMI) into wearable devices and advanced remote-control applications in surgical robotics, healthcare support, warehouse & construction systems.