Kwon, Hyeokhyen

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

Kwon, H., Tong, C., Haresamudram, H., Gao, Y., Abowd, G. D., Lane, N. D., & Plötz, T. (2020) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 152

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

Leng, Z., Bhattacharjee, A., Rajasekhar, H., Zhang, L., Bruda, E., Kwon, H., & Plötz, T. (2024) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsHuman Motion and Animation

Cited by 61

Handling annotation uncertainty in human activity recognition

Kwon, H., Abowd, G. D., & Plötz, T. (2019) · Proceedings of the 23rd International Symposium on Wearable Computers

Context-Aware Activity Recognition SystemsMobile Crowdsensing and Crowdsourcing

Cited by 52

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

Kwon, H., Wang, B., Abowd, G. D., & Plötz, T. (2021) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 48

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

Leng, Z., Kwon, H., & Ploetz, T. (2023) · Proceedings of the 2023 International Symposium on Wearable Computers

Context-Aware Activity Recognition SystemsHuman Motion and Animation

Cited by 39

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

Kwon, H., Abowd, G. D., & Plötz, T. (2021) · Sensors

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 30

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

Kwon, H., Clifford, G. D., Genias, I., Bernhard, D., Esper, C. D., Factor, S. A., & McKay, J. L. (2023) · Sensors

Balance, Gait, and Falls PreventionDeep Brain Stimulation and Movement Disorders

Cited by 24

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

Kwon, H., Tong, C., Haresamudram, H., Gao, Y., Abowd, G. D., Lane, N. D., & Ploetz, T. (2020) · arXiv

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 14

Review of Artificial Intelligence for Clinical Use in Alzheimer's Disease and Related Dementias

Breithaupt, A. G., Tang, A., Paolillo, E. W., Bibars, M., Johnson, E. C. B., Saloner, R., Possin, K. L., Windon, C. C., Hill-Jarrett, T. G., Giorgio, J., et al. (2026) · Seminars in Neurology

Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare and Education

Cited by 6