Jong-Ha Woo
Papers
2
Total Citations
20
H-Index
2
About
Dr. Jong-Ha Woo is a leading researcher at the forefront of intelligent exoskeleton systems, specializing in the intersection of biomechanics, bio-signal processing, and machine learning. His work directly addresses the critical challenge of control delay in industrial exoskeletons, aiming to make these assistive devices more intuitive and responsive for human workers. Dr. Woo’s major contributions include pioneering the use of deep learning architectures, such as CNN-LSTM models, to predict human intention from electromyography (EMG) signals. His 2024 paper on continuous intention prediction of lifting motions, which has garnered 14 citations, demonstrates a novel approach to proactive exoskeleton control. Complementing this, his 2023 work on machine learning-based recognition of lower-limb movement sequences (6 citations) provides a framework for anticipating complex actions like lifting, moving beyond simple reactive support. By fusing real-time bio-signal analysis with predictive AI, Dr. Woo is not only advancing the field of human-robot interaction but also paving the way for safer, more efficient industrial environments where exoskeletons seamlessly augment human capability.
Research Focus
Key Achievements
Top Papers
- 1Continuous Intention Prediction of Lifting Motions Using EMG-Based CNN-LSTM14 citations · 2024
- 2