Hyeokhyen Kwon

Hyeokhyen Kwon

Georgia Institute of Technology

H-index: 9

North America-United States

About Hyeokhyen Kwon

Hyeokhyen Kwon, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of Machine learning, Human Behavior Analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity Recognition

Predicting neurological recovery from coma after cardiac arrest: The George B. Moody PhysioNet Challenge 2023

An explainable spatial-temporal graphical convolutional network to score freezing of gait in parkinsonian patients

Generating virtual on-body accelerometer data from virtual textual descriptions for human activity recognition

Classifying tremor dominant and postural instability and gait difficulty subtypes of Parkinson’s disease from full-body kinematics

Leveraging WiFi network logs to infer student collocation and its relationship with academic performance

Multimodal mental health assessment with remote interviews using facial, vocal, linguistic, and cardiovascular patterns

Graph Trilateration for Indoor Localization in Sparsely Distributed Edge Computing Devices in Complex Environments Using Bluetooth Technology

Hyeokhyen Kwon Information

University

Position

.

Citations(all)

492

Citations(since 2020)

434

Cited By

146

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Hyeokhyen Kwon Skills & Research Interests

Machine learning

Human Behavior Analysis

Top articles of Hyeokhyen Kwon

IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity Recognition

arXiv preprint arXiv:2402.01049

2024/2/1

Hyeokhyen Kwon
Hyeokhyen Kwon

H-Index: 4

Predicting neurological recovery from coma after cardiac arrest: The George B. Moody PhysioNet Challenge 2023

2023/10/1

An explainable spatial-temporal graphical convolutional network to score freezing of gait in parkinsonian patients

Sensors

2023/2/4

Hyeokhyen Kwon
Hyeokhyen Kwon

H-Index: 4

Generating virtual on-body accelerometer data from virtual textual descriptions for human activity recognition

2023/10/8

Hyeokhyen Kwon
Hyeokhyen Kwon

H-Index: 4

Classifying tremor dominant and postural instability and gait difficulty subtypes of Parkinson’s disease from full-body kinematics

Sensors

2023/10/9

Hyeokhyen Kwon
Hyeokhyen Kwon

H-Index: 4

Leveraging WiFi network logs to infer student collocation and its relationship with academic performance

EPJ Data Science

2023/12/1

Multimodal mental health assessment with remote interviews using facial, vocal, linguistic, and cardiovascular patterns

medRxiv

2023

Graph Trilateration for Indoor Localization in Sparsely Distributed Edge Computing Devices in Complex Environments Using Bluetooth Technology

Sensors

2023/11/30

Barun Das
Barun Das

H-Index: 6

Hyeokhyen Kwon
Hyeokhyen Kwon

H-Index: 4

Indoor Localization and Multi-person Tracking Using Privacy Preserving Distributed Camera Network with Edge Computing

arXiv preprint arXiv:2305.05062

2023/5/8

Hyeokhyen Kwon
Hyeokhyen Kwon

H-Index: 4

Leandro Miletto Tonetto
Leandro Miletto Tonetto

H-Index: 10

A feasibility study on indoor localization and multi-person tracking using sparsely distributed camera network with edge computing

IEEE Journal of Indoor and Seamless Positioning and Navigation

2023/11/28

Hyeokhyen Kwon
Hyeokhyen Kwon

H-Index: 4

Leandro Miletto Tonetto
Leandro Miletto Tonetto

H-Index: 10

Method and system for automatic extraction of virtual on-body inertial measurement units

2022/3/3

On the Effectiveness of Virtual IMU Data for Eating Detection with Wrist Sensors

2022/9/11

Approaching the real-world: Supporting activity recognition training with virtual imu data

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

2021/9/14

Hyeokhyen Kwon
Hyeokhyen Kwon

H-Index: 4

Complex deep neural networks from large scale virtual imu data for effective human activity recognition using wearables

Sensors

2021/12/13

Hyeokhyen Kwon
Hyeokhyen Kwon

H-Index: 4

Imutube: Automatic extraction of virtual on-body accelerometry from video for human activity recognition

Proc. ACM Interactive, Mobile, Wearable and Ubiquitous Computing (IMWUT)

2020/5/29

Leveraging wifi network logs to infer social interactions: A case study of academic performance and student behavior

arXiv preprint arXiv:2005.11228

2020/5

See List of Professors in Hyeokhyen Kwon University(Georgia Institute of Technology)