Suh, Sungho

TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation

Suh, S., Rey, V. F., & Lukowicz, P. (2023) · Knowledge-Based Systems

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 107

Past, Present, and Future of Sensor-based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task

Haresamudram, H., Tang, C. I., Suh, S., Lukowicz, P., & Plötz, T. (2025) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 33

Past, Present, and Future of Sensor-Based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task

Haresamudram, H., Tang, C. I., Suh, S., Lukowicz, P., & Ploetz, T. (2024) · arXiv

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 31

Adversarial Deep Feature Extraction Network for User Independent Human Activity Recognition

Suh, S., Rey, V. F., & Lukowicz, P. (2022) · 2022 IEEE International Conference on Pervasive Computing and Communications (PerCom)

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 25

Learning from the Best: Contrastive Representations Learning Across Sensor Locations for Wearable Activity Recognition

Fortes Rey, V., Suh, S., & Lukowicz, P. (2022) · Proceedings of the 2022 ACM International Symposium on Wearable Computers

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 12

Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based Human Activity Recognition

Zuo, S., Rey, V. F., Suh, S., Sigg, S., & Lukowicz, P. (2023) · arXiv

Context-Aware Activity Recognition SystemsImbalanced Data Classification Techniques

Cited by 4