/

/

/

Identificare il livello di attenzione degli studenti attraverso l'analisi dei dati sensoriali e biometrici

JoVE Journal
Engineering

A subscription to JoVE is required to view this content. Sign in or start your free trial.

JoVE Journal Engineering

Identifying the Students' Attention Level by Analyzing the Sensory and Biometric Data

Please note that all translations are automatically generated. Click here for the English version.

Identificare il livello di attenzione degli studenti attraverso l'analisi dei dati sensoriali e biometrici

61 Views

•

03:08 min

•

December 15, 2023

DOI:

10.3791/201553-v

DOI:

10.3791/201553-v

•

03:08 min

December 15, 2023

•

2 Views

Luis Marquez-Carpintero¹, Monica Pina-Navarro¹, Sergio Suescun-Ferrandiz¹, Felix Escalona¹, Francisco Gomez-Donoso¹, Rosabel Roig-Vila², Miguel Cazorla¹

¹University Institute for Computer Research,University of Alicante, ²Department of General and Specific Didactics,University of Alicante

Explore More Videos

Attention Level Sensory Data Biometric Data Smart Watch Gyroscope Accelerometer Heart Rate Eye Tracking Head Direction Body Pose Emotion Detection Deep Learning Attention Classifier

Read Article