Research

Hyeokhyen Kwon,  Gregory D. Abowd, Thomas Plötz.

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

Sensors, December 2021

[Project page]

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

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

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), September 2021

[Project page]

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

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

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), September 2020

[Project page]

Hyeokhyen Kwon, Gregory D. Abowd, Thomas Plötz.

"Handling Annotation Uncertatinty in Human Activity Recognition".

International Symposium on Wearable Computers (ISWC) 2019

[Project page]

Hyeokhyen Kwon, Gregory D. Abowd, Thomas Plötz.

"Adding Structural Characteristics to Distribution-Based Accelerometer Representations

for Activity Recognition using Wearables".

International Symposium on Wearable Computers (ISWC) 2018

[Project page]

Hyeokhyen Kwon, Yu-Wing Tai.

"RGB-Guided Hyperspectral Image Upsampling".

IEEE International Conference of Computer Vision (ICCV) 2015

[Project page]