Seok Hun Kim
Papers
7
Total Citations
1,285
H-Index
6
About
Seok Hun Kim is a leading researcher in rehabilitation robotics, whose work has fundamentally advanced the field of robot-assisted gait training. His primary research areas focus on developing intelligent robotic exoskeletons and novel training paradigms to restore walking function in individuals with neurological impairments, particularly stroke survivors. Kim’s most significant contribution is the development of the Active Leg Exoskeleton (ALEX) and the pioneering “assist-as-needed” (AAN) paradigm. This approach, detailed in his highly cited 2008 paper (739 citations), uses a force-field controller to encourage active patient participation, providing only the necessary support to correct gait patterns. His subsequent 2015 study (171 citations) clinically validated that AAN-based training significantly improves functional walking ability in chronic stroke survivors. Kim has also explored the fundamental neuroplasticity of gait, demonstrating that healthy individuals can alter ingrained walking patterns through robotic training (2010, 162 citations). His work on the Combined Gait Asymmetry Metric (CGAM) provides a powerful tool for quantifying and retraining pathological gait. With a career dedicated to merging engineering innovation with clinical application, Kim’s research has established foundational principles for modern rehabilitation robotics, directly impacting the design of therapeutic interventions and improving the quality of life for patients worldwide.
Research Focus
Key Achievements
Top Papers
- 1Robot Assisted Gait Training With Active Leg Exoskeleton (ALEX)739 citations · 2008
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- 4Robot assisted gait training with active leg exoskeleton (ALEX)127 citations · 2008
- 5Robot-assisted modifications of gait in healthy individuals67 citations · 2010
- 6Human Gait Analysis Metric for Gait Retraining14 citations · 2019
- 7Robot-assisted balance training for gait modification5 citations · 2013