7 citations · 11 across the 4 of their papers we have counts for
4 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…
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…
A multimodal stress detection dataset with facial expressions and physiological signals
Majid Hosseini, Fahad Sohrab, Raju Gottumukkala +5
Affective computing has garnered the attention and interest of researchers in recent years, as there is a need for AI systems to better understand and react to human emotions. Howe…
A multimodal sensor dataset for continuous stress detection of nurses in a hospital
Seyedmajid Hosseini, Satya Katragadda, Ravi Teja Bhupatiraju +4
Advances in wearable technologies provide the opportunity to monitor many physiological variables continuously. Stress detection has gained increased attention in recent years, mai…