DIPSER

  1. Márquez-Carpintero, Luis 1
  2. Suescun-Ferrandiz, Sergio 1
  3. Álvarez, Carolina Lorenzo 1
  4. Fernandez-Herrero, Jorge 1
  5. Viejo, Diego 1
  6. Rosabel Roig-Vila 1
  7. Cazorla, Miguel 1
  1. 1 Universitat d'Alacant
    info

    Universitat d'Alacant

    Alicante, España

    ROR https://ror.org/05t8bcz72

Editor: Science Data Bank

Año de publicación: 2024

Tipo: Dataset

CC BY 4.0

DOI: 10.57760/SCIENCEDB.11541 lock_openAcceso abierto editor

Resumen

DIPSER dataset is designed to assess student attention in in-person classroom settings, consisting of RGB camera data, smartwatch sensor data, and labeled attention and emotion metrics. It includes multiple camera angles per student to capture posture and facial expressions, complemented by smartwatch data for inertial and biometric metrics. Attention and emotion labels are derived from self-reports and expert evaluations. The dataset includes diverse demographic groups, with data collected in real-world classroom environments, facilitating the training of machine learning models for predicting attention and correlating it with emotional states.