"Relevant Physiological Indicators for Assessing Workload in Conditionally ..."

Quentin Meteier et al. (2021)

> Home

Details and statistics

DOI: 10.3389/FCOMP.2021.775282

access: open

type: Journal Article

metadata version: 2024-10-06

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/fcomp/MeteierSCWAKSM21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/fcomp/MeteierSCWAKSM21
Quentin Meteier, Emmanuel de Salis, Marine Capallera, Marino Widmer, Leonardo Angelini, Omar Abou Khaled, Andreas Sonderegger, Elena Mugellini:
Relevant Physiological Indicators for Assessing Workload in Conditionally Automated Driving, Through Three-Class Classification and Regression. Frontiers Comput. Sci. 3: 775282 (2021)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.