EmpathicSchool: A multimodal dataset for real-time facial expressions and physiological data analysis under different stress conditions
Beskrivning
EmpathicSchool is a novel dataset that captures facial expressions and the associated physiological signals, such as heart rate, electrodermal activity, and skin temperature, under different stress levels. The data was collected from 20 participants at different sessions for 26 hours. The data includes 7 different signal types, including both computer vision and physiological features that can be used to detect stress. In addition, various experiments were conducted to validate the signal quality.
Visa merPubliceringsår
2023
Typ av data
Upphovspersoner
Alexandros Raitoharju - Upphovsperson
Fahad Sohrab - Upphovsperson
Jenni Katragadda - Upphovsperson
Moncef Iosifidis - Upphovsperson
Unknown organization
Majid Hosseini - Upphovsperson
Raju Gottumukkala - Upphovsperson
Satya Ravi Teja Bhupatiraju - Upphovsperson
Zenodo - Utgivare
Projekt
Övriga uppgifter
Vetenskapsområden
Data- och informationsvetenskap; Medicinsk teknik
Språk
engelska
Öppen tillgång
Begränsad tillgång