Woo-Young Lee
Papers
1
Total Citations
3
H-Index
1
About
Dr. Woo-Young Lee is a pioneering researcher in the intersection of wearable technology, human-robot interaction, and emergency response systems. His work focuses on developing intuitive control mechanisms that allow humans to operate autonomous mobile robots through physiological signals, particularly electromyogram (EMG) data. Lee's most cited paper, "Autonomous Mobile Robot Control using the Wearable Devices Based on EMG Signal for detecting fire" (2016, 3 citations), introduces a groundbreaking system that uses a Myo armband to capture users' muscle signals, which are then transmitted via Bluetooth to a computer for gesture classification. These classified commands—forward, left turn, right turn, and stop—are wirelessly relayed to a uBrain robot, enabling hands-free navigation for critical tasks like fire detection. This work demonstrates Lee's commitment to creating accessible, real-world solutions that enhance safety and efficiency in hazardous environments. By merging biomedical signal processing with robotics, Lee contributes to the growing field of assistive technology, offering a compelling vision for how wearable devices can empower first responders and individuals in high-risk scenarios.
Research Focus
Key Achievements
Top Papers
- 1