Data-driven depth map refinement via multi-scale sparse representation. - HyeokHyen Kwon; Yu-Wing Tai; Stephen Lin 001 (CVPR, 2015)

RGB-Guided Hyperspectral Image Upsampling. - HyeokHyen Kwon; Yu-Wing Tai (ICCV, 2015)

Adding structural characteristics to distribution-based accelerometer representations for activity recognition using wearables. - HyeokHyen Kwon; Gregory D. Abowd; Thomas Plötz (UbiComp, 2018)

Handling annotation uncertainty in human activity recognition. - HyeokHyen Kwon; Gregory D. Abowd; Thomas Plötz (UbiComp, 2019)

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)

IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition. - HyeokHyen Kwon; Catherine Tong; Harish Haresamudram; Yan Gao 016; Gregory D. Abowd; Nicholas D. Lane; Thomas Plötz (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

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)

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)

Can You See It?: Good, So We Can Sense It! - HyeokHyen Kwon; Catherine Tong; Harish Haresamudram; Yan Gao 016; Gregory D. Abowd; Nicholas D. Lane; Thomas Ploetz (GetMobile Mob. Comput. Commun., 2021)

On the Effectiveness of Virtual IMU Data for Eating Detection with Wrist Sensors. - Yash Jain; HyeokHyen Kwon; Thomas Ploetz (UbiComp/ISWC Adjunct, 2022)

Fine-grained Human Activity Recognition Using Virtual On-body Acceleration Data. - Zikang Leng; Yash Jain; HyeokHyen Kwon; Thomas Plötz (CoRR, 2022)

Deriving Sensor-based Complex Human Activity Recognition Models Using Videos. - HyeokHyen Kwon (2022)

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 (ASSETS, 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; et al. (CinC, 2023)

On the Utility of Virtual On-body Acceleration Data for Fine-grained Human Activity Recognition. - Zikang Leng; Yash Jain; Hyeokhyen Kwon; Thomas Ploetz (ISWC, 2023)

Generating Virtual On-body Accelerometer Data from Virtual Textual Descriptions for Human Activity Recognition. - Zikang Leng; Hyeokhyen Kwon; Thomas Ploetz (ISWC, 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)

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)

On the Benefit of Generative Foundation Models for Human Activity Recognition. - Zikang Leng; Hyeokhyen Kwon; Thomas Plötz (CoRR, 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, 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, 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; et al. (EPJ Data Sci., 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; et al. (Sensors, 2023)

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)

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)

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos. - Lauhitya Reddy; Ketan Anand; Shoibolina Kaushik; Corey Rodrigo; J. Lucas McKay; Trisha M. Kesar; Hyeokhyen Kwon (CoRR, 2024)

Detecting Cognitive Impairment and Psychological Well-being among Older Adults Using Facial, Acoustic, Linguistic, and Cardiovascular Patterns Derived from Remote Conversations. - Xiaofan Mu; Salman Seyedi; Iris Zheng; Zifan Jiang; Liu Chen; Bolaji Omofojoye; Rachel Hershenberg; Allan I. Levey; Gari D. Clifford; Hiroko H. Dodge; Hyeokhyen Kwon (CoRR, 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, 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., 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, 2024)

Language Models for Online Depression Detection: A Review and Benchmark Analysis on Remote Interviews. - Ruiyang Qin; Kai Yang 007; Ahmed Abbasi; David G. Dobolyi; Salman Seyedi; Emily Griner; Hyeokhyen Kwon; Robert O. Cotes; Zifan Jiang; Gari D. Clifford; Ryan A. Cook (ACM Trans. Manag. Inf. Syst., 2025)

On the Bias, Fairness, and Bias Mitigation for a Wearable-based Freezing of Gait Detection in Parkinson's Disease. - Timothy Odonga; Christine D. Esper; Stewart A. Factor; J. Lucas McKay; Hyeokhyen Kwon (CoRR, 2025)