UL-DD: A Multimodal Drowsiness Dataset Using Video, Biometric Signals, and Behavioral Data

Ähnliche Einträge

• A Multimodal Intermediate Fusion Network with Manifold Learning for Stress Detection
  von: Bodaghi, Morteza, et al.
  Veröffentlicht: (2024)
• A multimodal stress detection dataset with facial expressions and physiological signals
  von: Hosseini, Majid, et al.
  Veröffentlicht: (2022)
• SRL-SOA: Self-Representation Learning with Sparse 1D-Operational Autoencoder for Hyperspectral Image Band Selection
  von: Ahishali, Mete, et al.
  Veröffentlicht: (2022)
• Revisiting Generative Adversarial Networks for Binary Semantic Segmentation on Imbalanced Datasets
  von: Xu, Lei, et al.
  Veröffentlicht: (2024)
• Channel-wise Feature Decorrelation for Enhanced Learned Image Compression
  von: Pakdaman, Farhad, et al.
  Veröffentlicht: (2024)