Inseung Kang

Georgia Institute of Technology, Massachusetts Institute of Technology, Institute of Cognitive and Brain Sciences, Carnegie Mellon University

Papers

14

Total Citations

822

H-Index

11

About

No biography available yet.

Research Focus

Exoskeleton14 · 822 citations
Simulation13 · 778 citations
Computer science13 · 778 citations
Artificial intelligence11 · 623 citations
Physical medicine and rehabilitation9 · 616 citations
Mathematics6 · 535 citations
Engineering8 · 513 citations
Controller (irrigation)5 · 454 citations
Gait4 · 372 citations
Estimator3 · 361 citations
Control (management)4 · 356 citations
Control theory (sociology)4 · 356 citations

Key Achievements

11
H-Index
14
Papers
822
Total Citations
59
Avg Citations/Paper
🏆 Most Cited Paper
Real-Time Neural Network-Based Gait Phase Estimation Using a Robotic Hip Exoskeleton
162 citations · 2019
📈 Most Prolific Year: 2019 (4 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Georgia Institute of Technology, Massachusetts Institute of Technology, Institute of Cognitive and Brain Sciences, Carnegie Mellon University

Top Papers

  1. 1
    Real-Time Neural Network-Based Gait Phase Estimation Using a Robotic Hip Exoskeleton
    162 citations · 2019
  2. 2
    Real-Time Gait Phase Estimation for Robotic Hip Exoskeleton Control During Multimodal Locomotion
    153 citations · 2021
  3. 3
    The Effect of Hip Assistance Levels on Human Energetic Cost Using Robotic Hip Exoskeletons
    131 citations · 2019
  4. 4
    Estimating human joint moments unifies exoskeleton control, reducing user effort
    104 citations · 2024
  5. 5
    Biomechanical Comparison of Assistance Strategies Using a Bilateral Robotic Knee Exoskeleton
    51 citations · 2021
  6. 6
    Electromyography (EMG) Signal Contributions in Speed and Slope Estimation Using Robotic Exoskeletons
    46 citations · 2019
  7. 7
    Design and Validation of a Torque-Controllable Series Elastic Actuator-Based Hip Exoskeleton for Dynamic Locomotion
    44 citations · 2022
  8. 8
    Effects of Assistance During Early Stance Phase Using a Robotic Knee Orthosis on Energetics, Muscle Activity, and Joint Mechanics During Incline and Decline Walking
    44 citations · 2020
  9. 9
    Real-Time User-Independent Slope Prediction Using Deep Learning for Modulation of Robotic Knee Exoskeleton Assistance
    37 citations · 2021
  10. 10
    Biological Hip Torque Estimation using a Robotic Hip Exoskeleton
    19 citations · 2020

Key Collaborators

AJAaron J. Young14 shared papersDDDean D. Molinaro6 shared papersPKPratik Kunapuli4 shared papersDLDawit Lee4 shared papersHHHsiang Hsu2 shared papersRRReese R. Peterson2 shared papersKHKinsey Herrin2 shared papersBJBailey J. McLain2 shared papersAMAnirban Mazumdar1 shared papersHZHao Zheng1 shared papersTSTao Shen1 shared papersECEun Chan Kwak1 shared papersJKJennifer K. Leestma1 shared papersSDSrijan Duggal1 shared papersXSXiangrong Shen1 shared papersJCJonathan Camargo1 shared papersYCYanrong Chen1 shared papersAYAlexander Yu1 shared papersMRMd Rayhan Afsar1 shared papersGCGayeon Choi1 shared papers
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