Clayton Frederick Souza Leite

ACM Trans. Internet Things, February, 2024

Transformer-Based Approaches for Sensor-Based Human Activity Recognition: Opportunities and Challenges.

[BibT_eX]

[DOI]

Henry Mauranen

CoRR, 2024

Enhancing Motion Variation in Text-to-Motion Models via Pose and Video Conditioned Editing.

[BibT_eX]

[DOI]

CoRR, 2024

A Proof-of-Concept Study on Smart Gloves for Real-Time Chest Compression Performance Monitoring.

[BibT_eX]

[DOI]

Desale Tewelde Kahsay

IEEE Access, 2024

2023

Automatic Map Update Using Dashcam Videos.

[BibT_eX]

[DOI]

IEEE Internet Things J., July, 2023

Detecting and Classifying Changes in Traffic Rules using Induction Loop Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Resource-Efficient Continual Learning for Sensor-Based Human Activity Recognition.

[BibT_eX]

[DOI]

ACM Trans. Embed. Comput. Syst., November, 2022

Enabling Cost Efficiency in Sensor-Based Human Activity Recognition.

[BibT_eX]

[DOI]

PhD thesis, 2022

2021

Optimal sensor channel selection for resource-efficient deep activity recognition.

[BibT_eX]

[DOI]

Proceedings of the IPSN '21: The 20th International Conference on Information Processing in Sensor Networks, 2021

2020

Improving Cross-Subject Activity Recognition via Adversarial Learning.

[BibT_eX]

[DOI]

IEEE Access, 2020

Improving Resource Efficiency of Deep Activity Recognition via Redundancy Reduction.

[BibT_eX]

[DOI]