Hyeokhyen Kwon

According to our database, Hyeokhyen Kwon authored at least 28 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Development of a Tremor Detection Algorithm for Use in an Academic Movement Disorders Center.

Mark Saad, Sofia Hefner, Suzann Donovan, Doug Bernhard, Richa Tripathi, Stewart A. Factor, Jeanne M. Powell, Hyeokhyen Kwon, Reza Sameni, Christine D. Esper, J. Lucas McKay

Sensors, August, 2024

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

Zikang Leng, Amitrajit Bhattacharjee, Hrudhai Rajasekhar, Lizhe Zhang, Elizabeth Bruda, Hyeokhyen Kwon, Thomas Plötz

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., August, 2024

Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns.

Zifan Jiang, Salman Seyedi, Emily Griner, Ahmed Abbasi, Ali Bahrami Rad, Hyeokhyen Kwon, Robert O. Cotes, Gari D. Clifford

IEEE J. Biomed. Health Informatics, March, 2024

Feasibility of assessing cognitive impairment via distributed camera network and privacy-preserving edge computing.

Chaitra Hegde, Yashar Kiarashi, Allan I. Levey, Amy D. Rodriguez, Hyeokhyen Kwon, Gari D. Clifford

CoRR, 2024

Explainable Artificial Intelligence for Quantifying Interfering and High-Risk Behaviors in Autism Spectrum Disorder in a Real-World Classroom Environment Using Privacy-Preserving Video Analysis.

Barun Das, Conor Anderson, Tania Villavicencio, Johanna Lantz, Jenny Foster, Theresa Hamlin, Ali Bahrami Rad, Gari D. Clifford, Hyeokhyen Kwon

CoRR, 2024

2023

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

Yashar Kiarashi, Soheil Saghafi, Barun Das, Chaitra Hegde, Venkata Siva Krishna Madala, ArjunSinh Nakum, Ratan Singh, Robert Tweedy, Matthew Doiron, Amy D. Rodriguez, Allan I. Levey, Gari D. Clifford, Hyeokhyen Kwon

Sensors, December, 2023

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

Vedant Das Swain, HyeokHyen Kwon, Sonia Sargolzaei, Bahador Saket, Mehrab Bin Morshed, Kathy Tran, Devashru Patel, Yexin Tian, Joshua Philipose, Yulai Cui, Thomas Plötz, Munmun De Choudhury, Gregory D. Abowd

EPJ Data Sci., December, 2023

Classifying Tremor Dominant and Postural Instability and Gait Difficulty Subtypes of Parkinson's Disease from Full-Body Kinematics.

N. Jabin Gong, Gari D. Clifford, Christine D. Esper, Stewart A. Factor, J. Lucas McKay, Hyeokhyen Kwon

Sensors, October, 2023

An Explainable Spatial-Temporal Graphical Convolutional Network to Score Freezing of Gait in Parkinsonian Patients.

HyeokHyen Kwon, Gari D. Clifford, Imari Genias, Doug Bernhard, Christine D. Esper, Stewart A. Factor, J. Lucas McKay

Sensors, February, 2023

On the Benefit of Generative Foundation Models for Human Activity Recognition.

Zikang Leng, Hyeokhyen Kwon, Thomas Plötz

CoRR, 2023

Indoor Localization using Bluetooth and Inertial Motion Sensors in Distributed Edge and Cloud Computing Environment.

Yashar Kiarashi, Chaitra Hedge, Venkata Siva Krishna Madala, ArjunSinh Nakum, Ratan Singh, Robert Tweedy, Gari D. Clifford, HyeokHyen Kwon

CoRR, 2023

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

HyeokHyen Kwon, Chaitra Hegde, Yashar Kiarashi, Venkata Siva Krishna Madala, Ratan Singh, ArjunSinh Nakum, Robert Tweedy, Leandro Miletto Tonetto, Craig M. Zimring, Gari D. Clifford

CoRR, 2023

Generating Virtual On-body Accelerometer Data from Virtual Textual Descriptions for Human Activity Recognition.

Zikang Leng, Hyeokhyen Kwon, Thomas Ploetz

Proceedings of the 2023 International Symposium on Wearable Computers, 2023

On the Utility of Virtual On-body Acceleration Data for Fine-grained Human Activity Recognition.

Zikang Leng, Yash Jain, Hyeokhyen Kwon, Thomas Ploetz

Proceedings of the 2023 International Symposium on Wearable Computers, 2023

Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023.

Matthew A. Reyna, Edilberto Amorim, Reza Sameni, James Weigle, Andoni Elola, Ali Bahrami Rad, Salman Seyedi, Hyeokhyen Kwon, Wei-Long Zheng, Mohammad M. Ghassemi, Michel J. A. M. van Putten, Jeannette Hofmeijer, Nicolas Gaspard, Adithya Sivaraju, Susan T. Herman, Jong Woo Lee, M. Brandon Westover, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2023

FingerSpeller: Camera-Free Text Entry Using Smart Rings for American Sign Language Fingerspelling Recognition.

David Martin, Zikang Leng, Tan Gemicioglu, Jon Womack, Jocelyn Heath, William C. Neubauer, Hyeokhyen Kwon, Thomas Ploetz, Thad Starner

Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility, 2023

2022

Deriving Sensor-based Complex Human Activity Recognition Models Using Videos.

HyeokHyen Kwon

PhD thesis, 2022

Fine-grained Human Activity Recognition Using Virtual On-body Acceleration Data.

Zikang Leng, Yash Jain, HyeokHyen Kwon, Thomas Plötz

CoRR, 2022

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

Yash Jain, HyeokHyen Kwon, Thomas Ploetz

Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

2021

Can You See It?: Good, So We Can Sense It!

HyeokHyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao, Gregory D. Abowd, Nicholas D. Lane, Thomas Ploetz

GetMobile Mob. Comput. Commun., 2021

Complex Deep Neural Networks from Large Scale Virtual IMU Data for Effective Human Activity Recognition Using Wearables.

HyeokHyen Kwon, Gregory D. Abowd, Thomas Plötz

Sensors, 2021

Approaching the Real-World: Supporting Activity Recognition Training with Virtual IMU Data.

HyeokHyen Kwon, Bingyao Wang, Gregory D. Abowd, Thomas Plötz

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

2020

IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition.

HyeokHyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao, Gregory D. Abowd, Nicholas D. Lane, Thomas Plötz

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Leveraging WiFi Network Logs to Infer Social Interactions: A Case Study of Academic Performance and Student Behavior.

Vedant Das Swain, HyeokHyen Kwon, Bahador Saket, Mehrab Bin Morshed, Kathy Tran, Devashru Patel, Yexin Tian, Joshua Philipose, Yulai Cui, Thomas Plötz, Munmun De Choudhury, Gregory D. Abowd

CoRR, 2020

2019

Handling annotation uncertainty in human activity recognition.

HyeokHyen Kwon, Gregory D. Abowd, Thomas Plötz

Proceedings of the 23rd International Symposium on Wearable Computers, ISWC 2019, London, 2019

2018

Adding structural characteristics to distribution-based accelerometer representations for activity recognition using wearables.

HyeokHyen Kwon, Gregory D. Abowd, Thomas Plötz

Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018

2015

RGB-Guided Hyperspectral Image Upsampling.

HyeokHyen Kwon, Yu-Wing Tai

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Data-driven depth map refinement via multi-scale sparse representation.

HyeokHyen Kwon, Yu-Wing Tai, Stephen Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015