6 papers
Thermal Imaging for Contactless Cardiorespiratory and Sudomotor Response Monitoring
Constantino Ãlvarez Casado, Mohammad Rahman, Sasan Sharifipour +4
Human-machine interfaces in industrial automation need sensing modules that monitor operator actions and physiological state. This is important in factories, vehicles, machinery ca…
From Theory to Throughput: CUDA-Optimized APML for Large-Batch 3D Learning
Sasan Sharifipour, Constantino Ãlvarez Casado, Manuel Lage Cañellas +1
Loss functions are fundamental to learning accurate 3D point cloud models, yet common choices trade geometric fidelity for computational cost. Chamfer Distance is efficient but per…
LiDAR-based Human Activity Recognition through Laplacian Spectral Analysis
Sasan Sharifipour, Constantino Ãlvarez Casado, Le Nguyen +4
Human Activity Recognition supports applications in healthcare, manufacturing, and human-machine interaction. LiDAR point clouds offer a privacy-preserving alternative to cameras a…
APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction
Sasan Sharifipour, Constantino Ãlvarez Casado, Mohammad Sabokrou +1
Training deep learning models for point cloud prediction tasks such as shape completion and generation depends critically on loss functions that measure discrepancies between predi…
Spatio-Temporal 3D Point Clouds from WiFi-CSI Data via Transformer Networks
Tuomas Määttä, Sasan Sharifipour, Miguel Bordallo López +1
Joint communication and sensing (JC\&S) is emerging as a key component in 5G and 6G networks, enabling dynamic adaptation to environmental changes and enhancing contextual awarenes…
OMuSense-23: A Multimodal Dataset for Contactless Breathing Pattern Recognition and Biometric Analysis
Manuel Lage Cañellas, Le Nguyen, Anirban Mukherjee +6
In the domain of non-contact biometrics and human activity recognition, the lack of a versatile, multimodal dataset poses a significant bottleneck. To address this, we introduce th…