
Towards Real-Time Recognition of Users' Mental Workload Using Integrated Physiological Sensors Into a VR HMD
Author(s) -
Tiffany Luong,
Nicolas Martin,
Anais Raison,
Ferran Argelaguet,
Jean-Marc Diverrez,
Anatole Lécuyer
Publication year - 2020
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - workload , computer science , human–computer interaction , virtual reality , artificial intelligence , computer vision , real time computing , operating system