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Heedong Do - IEEE Xplore Author Profile

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Author details

Heedong Do

Publications

18

Citations

234

Publications by Year

20192024

Co-Authors:

Sungmin ChoJinseok ChoiYonina C. EldarRobert W. HeathSong-Nam Hong

Show All Co-Authors (19)

Heedong Do

Affiliation

School of Electrical Engineering

Korea University

Seoul, South Korea

Publication Topics

Multiple-input Multiple-output,
Phase Shift,
Planar Array,
Power Constraint,
Singular Value,
Uniform Linear Array,
Array Aperture,
Carrier Frequency,
Degrees Of Freedom,
Spatial Multiplexing,
Spectral Efficiency,
Active Reconfigurable Intelligent Surface

Biography

Heedong Do (doheedong@korea.ac.kr) received the B.S. degree in mathematics and the Ph.D. degree in electrical engineering from the Pohang University of Science and Technology (POS-TECH), Pohang, South Korea, in 2018 and 2023, respectively. He is currently a Post-Doctoral Associate with Research Institute for ICT, Korea University.(Based on document published on 21 May 2024).

Publications

18

Citations

234

Publications by Year

20192024

Co-Authors:

Sungmin Cho
Jinseok Choi
Yonina C. Eldar
Robert W. Heath
Song-Nam Hong

Show All Co-Authors (19)

Author's Published Works

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Showing 1-13 of 13 results

Journals (9)

Conferences (3)

Early Access Articles (1)

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Kinsey Herrin(8)
Kinsey R. Herrin(5)
Aaron J. Young(5)
Aaron Young(4)
Phillip Tran(3)
Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA(4)
Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA(3)
Department of Mechanical Engineering, Sogang University, Seoul, South Korea(3)
Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, USA(3)
Shriners Hospitals for Children, Philadelphia, PA, USA(2)
IEEE Robotics and Automation Letters(4)
IEEE Transactions on Biomedical Engineering(2)
IEEE Transactions on Medical Robotics and Bionics(2)
IEEE/ASME Transactions on Mechatronics(2)
2021 IEEE International Conference on Robotics and Automation (ICRA)(1)
IEEE(13)
Media(7)
Atlanta, GA, USA(1)
GA, USA(1)
Xi'an, China(1)
State Machine(6)
Gait Cycle(5)
Exosuit(4)
Inertial Measurement Unit(4)
Knee Joint(4)

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Results

Real-time Adaptation of Deep Learning Walking Speed Estimators Enables Biomimetic Assistance Modulation in an Open-Source Bionic Leg

Jairo Maldonado-Contreras;Cole Johnson;Sixu Zhou;Hanjun Kim;Ian Knight;Kinsey R. Herrin;Aaron J. Young

IEEE Transactions on Medical Robotics and Bionics

Year: 2025 | Early Access Article |

This study introduces a novel continual learning algorithm that incrementally improves the performance of deep-learning-based walking speed estimators during level-ground walking with a powered knee-ankle prosthesis. While user-dependent (DEP) estimators generally outperform user-independent (IND) estimators, they require the pre-collection of DEP training data. In contrast, our real-time algorith...Show More

Real-time Adaptation of Deep Learning Walking Speed Estimators Enables Biomimetic Assistance Modulation in an Open-Source Bionic Leg

Jairo Maldonado-Contreras;Cole Johnson;Sixu Zhou;Hanjun Kim;Ian Knight;Kinsey R. Herrin;Aaron J. Young

IEEE Transactions on Medical Robotics and Bionics

Year: 2025 | Early Access Article |

Mode-Unified Intent Estimation of a Robotic Prosthesis Using Deep-Learning

Hanjun Kim;Dawit Lee;Jairo Y. Maldonado-Contreras;Sixu Zhou;Kinsey R. Herrin;Aaron J. Young

IEEE Robotics and Automation Letters

Year: 2025 | Volume: 10, Issue: 4 | Journal Article |

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Traditional robotic knee-ankle prostheses categorize ambulation modes such as level walking, ramps, and stairs. However, human movement scales continuously across various states rather than discretely, making traditional mode classifiers inadequate for accurate intent recognition. This letter proposes a mode-unified intent recognition strategy that continuously estimates terrain slopes across five...Show More

Mode-Unified Intent Estimation of a Robotic Prosthesis Using Deep-Learning

Hanjun Kim;Dawit Lee;Jairo Y. Maldonado-Contreras;Sixu Zhou;Kinsey R. Herrin;Aaron J. Young

IEEE Robotics and Automation Letters

Year: 2025 | Volume: 10, Issue: 4 | Journal Article |

Robotic Ankle Exoskeleton and Limb Angle Biofeedback for Assisting Stroke Gait: A Feasibility Study

Kinsey R. Herrin;Yi-Tsen Pan;Trisha M. Kesar;Gregory S. Sawicki;Aaron J. Young

IEEE Robotics and Automation Letters

Year: 2025 | Volume: 10, Issue: 2 | Journal Article |

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Post-stroke gait is slow, energetically costly, and unstable. Rehabilitation is necessary to encourage, retrain, and assist proper gait mechanics in stroke survivors. Evidence indicates robotic ankle exoskeletons can improve gait outcomes in stroke survivors, however challenges remain with proper lower limb positioning for optimal receipt of the assistance. Biofeedback can be used to improve posit...Show More

Robotic Ankle Exoskeleton and Limb Angle Biofeedback for Assisting Stroke Gait: A Feasibility Study

Kinsey R. Herrin;Yi-Tsen Pan;Trisha M. Kesar;Gregory S. Sawicki;Aaron J. Young

IEEE Robotics and Automation Letters

Year: 2025 | Volume: 10, Issue: 2 | Journal Article |

Design and Validation of a Versatile High Torque Quasidirect Drive Hip Exoskeleton

Aakash Bajpai;Carlos Carrasquillo;Jessica Carlson;Julian Park;Divya Iyengar;Kinsey Herrin;Aaron J. Young;Anirban Mazumdar

IEEE/ASME Transactions on Mechatronics

Year: 2024 | Volume: 29, Issue: 1 | Journal Article |

Cited by: Papers (4)

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The field of wearable robotics has made significant progress toward augmenting human functions from multimodal ambulation to manual lifting tasks. However, most of these systems are designed to be task-specific and only focus on a single type of movement (e.g., ambulation). In this work, we design, fabricate, and characterize a versatile hip exoskeleton testbed for lifting and ambulation tasks. Th...Show More

Design and Validation of a Versatile High Torque Quasidirect Drive Hip Exoskeleton

Aakash Bajpai;Carlos Carrasquillo;Jessica Carlson;Julian Park;Divya Iyengar;Kinsey Herrin;Aaron J. Young;Anirban Mazumdar

IEEE/ASME Transactions on Mechatronics

Year: 2024 | Volume: 29, Issue: 1 | Journal Article |

Reducing Knee Hyperextension With an Exoskeleton in Children and Adolescents With Genu Recurvatum: A Feasibility Study

Dawit Lee;Max K. Shepherd;Sierra C. Mulrine;Julianne D. Schneider;Kelly F. Moore;Erin M. Eggebrecht;Benjamin M. Rogozinski;Kinsey R. Herrin;Aaron J. Young

IEEE Transactions on Biomedical Engineering

Year: 2023 | Volume: 70, Issue: 12 | Journal Article |

Cited by: Papers (3)

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Genu recurvatum, or knee hyperextension, is a complex gait pattern with a variety of etiologies, and is often connected with knee weakness, lack of motor control, and spasticity. Because of the atypical forces placed on the soft tissues, early treatment or prevention of knee hyperextension may help prevent further degradation of the knee joint. In this study, we assessed the feasibility of a knee ...Show More

Reducing Knee Hyperextension With an Exoskeleton in Children and Adolescents With Genu Recurvatum: A Feasibility Study

Dawit Lee;Max K. Shepherd;Sierra C. Mulrine;Julianne D. Schneider;Kelly F. Moore;Erin M. Eggebrecht;Benjamin M. Rogozinski;Kinsey R. Herrin;Aaron J. Young

IEEE Transactions on Biomedical Engineering

Year: 2023 | Volume: 70, Issue: 12 | Journal Article |

The Modernization of Preoperative Scoliosis Curvature Correction Methods for Pediatric Patients

Charles Brenner;Kinsey Herrin;Alexander Ambrose;Brian Emling;Michael Schmitz;Richard Welling;Frank L. Hammond

2023 International Symposium on Medical Robotics (ISMR)

Year: 2023 | Conference Paper |

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Scoliosis is the lateral curvature of the spine in the coronal plane, and kyphosis is the posterior curvature of the spine in the sagittal plane. For pediatric patients, these conditions can occur independently or in conjunction with one another and vary in severity. Most pediatric scoliosis cases are treated through bracing, but severe cases require surgical curvature correction. To reduce the ri...Show More

The Modernization of Preoperative Scoliosis Curvature Correction Methods for Pediatric Patients

Charles Brenner;Kinsey Herrin;Alexander Ambrose;Brian Emling;Michael Schmitz;Richard Welling;Frank L. Hammond

2023 International Symposium on Medical Robotics (ISMR)

Year: 2023 | Conference Paper |

OpenSim Model for Biomechanical Analysis with the Open-Source Bionic Leg

Jonathan Camargo;Krishan Bhakta;Jairo Maldonado-Contreras;Sixu Zhou;Kinsey Herrin;Aaron Young

2022 International Symposium on Medical Robotics (ISMR)

Year: 2022 | Conference Paper |

Cited by: Papers (3)

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Lower-limb robotic prostheses present a potential solution for enhancing the mobility of individuals with amputation. However, comparing results amongst different research groups is a challenge as there are many differences between research devices. A recent effort from the University of Michigan created and established an open-source design for an active knee and ankle prosthesis with embedded se...Show More

OpenSim Model for Biomechanical Analysis with the Open-Source Bionic Leg

Jonathan Camargo;Krishan Bhakta;Jairo Maldonado-Contreras;Sixu Zhou;Kinsey Herrin;Aaron Young

2022 International Symposium on Medical Robotics (ISMR)

Year: 2022 | Conference Paper |

FLEXotendon Glove-III: Voice-Controlled Soft Robotic Hand Exoskeleton With Novel Fabrication Method and Admittance Grasping Control

Phillip Tran;Seokhwan Jeong;Fanzhe Lyu;Kinsey Herrin;Shovan Bhatia;Drew Elliott;Scott Kozin;Jaydev P. Desai

IEEE/ASME Transactions on Mechatronics

Year: 2022 | Volume: 27, Issue: 5 | Journal Article |

Cited by: Papers (27)

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This article presents a voice-controlled soft robotic hand exoskeleton for hand assistance. Cervical spinal cord injury results in a disruption of the nerve signals, causing paralysis and limited upper extremity function. The impairment significantly limits the completion of activities of daily living (ADL) due to the importance of hand function. Recently, there has been an increase in hand exoske...Show More

FLEXotendon Glove-III: Voice-Controlled Soft Robotic Hand Exoskeleton With Novel Fabrication Method and Admittance Grasping Control

Phillip Tran;Seokhwan Jeong;Fanzhe Lyu;Kinsey Herrin;Shovan Bhatia;Drew Elliott;Scott Kozin;Jaydev P. Desai

IEEE/ASME Transactions on Mechatronics

Year: 2022 | Volume: 27, Issue: 5 | Journal Article |

Quantifying Asymmetry Between Medial and Lateral Compartment Knee Loading Forces Using Acoustic Emissions

Hyeon Ki Jeong;Sungtae An;Kinsey Herrin;Keaton Scherpereel;Aaron Young;Omer T. Inan

IEEE Transactions on Biomedical Engineering

Year: 2022 | Volume: 69, Issue: 4 | Journal Article |

Cited by: Papers (4)

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Objective: Osteoarthritis is the most common type of knee arthritis that can be affected by excessive and compressive loads and can affect one or more compartments of the knee: medial, lateral, and patellofemoral. The medial compartment tends to be the most vulnerable to injuries and research suggests that a better understanding of the medial to lateral load distribution conditions could provide i...Show More

Quantifying Asymmetry Between Medial and Lateral Compartment Knee Loading Forces Using Acoustic Emissions

Hyeon Ki Jeong;Sungtae An;Kinsey Herrin;Keaton Scherpereel;Aaron Young;Omer T. Inan

IEEE Transactions on Biomedical Engineering

Year: 2022 | Volume: 69, Issue: 4 | Journal Article |

FLEXotendon Glove-III: Soft Robotic Hand Rehabilitation Exoskeleton for Spinal Cord Injury

Phillip Tran;Seokhwan Jeong;Kinsey Herrin;Shovan Bhatia;Scott Kozin;Jaydev P. Desai

2021 IEEE International Conference on Robotics and Automation (ICRA)

Year: 2021 | Conference Paper |

Cited by: Papers (3)

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Cervical spinal cord injury (SCI) can severely impact hand motor and sensory function, and accordingly, patients with SCI are often unable to complete basic everyday tasks without assistance. In recent years, there has been an increase in hand exoskeleton research due to their distinct advantages for improving rehabilitation. In this work, we present a voice-controlled, tendon-driven soft robotic ...Show More

FLEXotendon Glove-III: Soft Robotic Hand Rehabilitation Exoskeleton for Spinal Cord Injury

Phillip Tran;Seokhwan Jeong;Kinsey Herrin;Shovan Bhatia;Scott Kozin;Jaydev P. Desai

2021 IEEE International Conference on Robotics and Automation (ICRA)

Year: 2021 | Conference Paper |

Review: Hand Exoskeleton Systems, Clinical Rehabilitation Practices, and Future Prospects

Phillip Tran;Seokhwan Jeong;Kinsey R. Herrin;Jaydev P. Desai

IEEE Transactions on Medical Robotics and Bionics

Year: 2021 | Volume: 3, Issue: 3 | Journal Article |

Cited by: Papers (46)

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Spinal cord injury (SCI) and stroke are pathologies that often result in the loss of/decrease in hand functionality. Hand function is a critical component of everyday life and therefore, a primary focus of clinical SCI/stroke rehabilitation is hand function recovery/improvement. In recent years, there has been a surge in hand exoskeleton research due to the potential for exoskeletons to improve cl...Show More

Review: Hand Exoskeleton Systems, Clinical Rehabilitation Practices, and Future Prospects

Phillip Tran;Seokhwan Jeong;Kinsey R. Herrin;Jaydev P. Desai

IEEE Transactions on Medical Robotics and Bionics

Year: 2021 | Volume: 3, Issue: 3 | Journal Article |

Evaluation of Continuous Walking Speed Determination Algorithms and Embedded Sensors for a Powered Knee & Ankle Prosthesis

Krishan Bhakta;Jonathan Camargo;William Compton;Kinsey Herrin;Aaron Young

IEEE Robotics and Automation Letters

Year: 2021 | Volume: 6, Issue: 3 | Journal Article |

Cited by: Papers (14)

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Dynamically altering the parameters for assistance in a lower limb prosthesis is a challenge that depends directly on the ability to estimate gait parameters. Machine learning algorithms present an opportunity to develop methods for continuously determining walking speed in different conditions. Current state-of-the-art solutions involve using wearable sensors such as IMUs to estimate these parame...Show More

Evaluation of Continuous Walking Speed Determination Algorithms and Embedded Sensors for a Powered Knee & Ankle Prosthesis

Krishan Bhakta;Jonathan Camargo;William Compton;Kinsey Herrin;Aaron Young

IEEE Robotics and Automation Letters

Year: 2021 | Volume: 6, Issue: 3 | Journal Article |

Machine Learning Model Comparisons of User Independent & Dependent Intent Recognition Systems for Powered Prostheses

Krishan Bhakta;Jonathan Camargo;Luke Donovan;Kinsey Herrin;Aaron Young

IEEE Robotics and Automation Letters

Year: 2020 | Volume: 5, Issue: 4 | Journal Article |

Cited by: Papers (36)

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Developing intelligent prosthetic controllers to recognize user intent across users is a challenge. Machine learning algorithms present an opportunity to develop methods for predicting user's locomotion mode. Currently, linear discriminant analysis (LDA) offers the standard solution in the state-of-the-art for subject dependent models and has been used in the development of subject independent app...Show More

Machine Learning Model Comparisons of User Independent & Dependent Intent Recognition Systems for Powered Prostheses

Krishan Bhakta;Jonathan Camargo;Luke Donovan;Kinsey Herrin;Aaron Young

IEEE Robotics and Automation Letters

Year: 2020 | Volume: 5, Issue: 4 | Journal Article |

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