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Inseung Kang

3 accepted papers

2021

Real-Time Gait Phase Estimation for Robotic Hip Exoskeleton Control During Multimodal Locomotion

RA-L 2021

We developed and validated a gait phase estimator for real-time control of a robotic hip exoskeleton during multimodal locomotion. Gait phase describes the fraction of time passed since the previous gait event, such as heel strike, and is a promising framework for appropriately applying exoskeleton

Cited by 122SourceScholar
2021

Real-Time User-Independent Slope Prediction Using Deep Learning for Modulation of Robotic Knee Exoskeleton Assistance

RA-L 2021

Ground slope incline is a critical environmental variable that influences exoskeleton control parameters since human biological joint demand is correlated to changes in slope incline. Current literature methods take a heuristic approach by numerically calculating the slope incline from on-board mech

Cited by 34SourceScholar
2019

The Effect of Hip Assistance Levels on Human Energetic Cost Using Robotic Hip Exoskeletons

RA-L 2019

In order for the lower limb exoskeletons to realize their considerable potential, a greater understanding of optimal assistive performance is required. While others have shown positive results, the fundamental question of how the exoskeleton interacts with the human remains unknown. Understanding th

Cited by 110SourceScholar