Juhui Moon
Papers
1
Total Citations
2
H-Index
1
About
Juhui Moon is a leading researcher at the intersection of wearable robotics and artificial intelligence, with a primary focus on human locomotion analysis and assistive device control. Her most impactful work centers on developing deep learning frameworks that enable real-time recognition of gait patterns using inertial measurement units (IMUs). Moon’s key contribution lies in advancing soft, modular wearable robots designed for elderly populations—shifting the paradigm from disability-focused exoskeletons to lightweight, user-friendly assistive systems for aging individuals. Her 2025 study on deep learning-based locomotion recognition, which has already garnered 2 citations, demonstrates a novel approach to synchronizing robotic assistance with natural human movement by decoding locomotion mode, phase, and phase progression from IMU data. This work is notable for its emphasis on simplifying hardware while maintaining high accuracy, making gait-assist technology more accessible and practical for daily use. Moon’s research bridges biomechanics and machine learning, offering scalable solutions that could transform mobility support for the elderly. Her contributions are particularly relevant as the field moves toward personalized, adaptive robotic assistance, and her citation trajectory suggests growing influence in rehabilitation engineering and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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