4 citations · 4 across the 2 of their papers we have counts for
3 papers
UL-DD: A Multimodal Drowsiness Dataset Using Video, Biometric Signals, and Behavioral Data
Morteza Bodaghi, Majid Hosseini, Raju Gottumukkala +3
In this study, we present a comprehensive public dataset for driver drowsiness detection, integrating multimodal signals of facial, behavioral, and biometric indicators. Our datase…
A Multimodal Intermediate Fusion Network with Manifold Learning for Stress Detection
Morteza Bodaghi, Majid Hosseini, Raju Gottumukkala
Multimodal deep learning methods capture synergistic features from multiple modalities and have the potential to improve accuracy for stress detection compared to unimodal methods.…
Multimodal Stress Detection Using Facial Landmarks and Biometric Signals
Majid Hosseini, Morteza Bodaghi, Ravi Teja Bhupatiraju +2
The development of various sensing technologies is improving measurements of stress and the well-being of individuals. Although progress has been made with single signal modalities…