"Driver Drowsiness Estimation by Parallel Linked Time-Domain CNN with Novel ..."

Jia-Yau Shiau et al. (2019)

> Home

Details and statistics

DOI: 10.1109/EMBC.2019.8857291

access: closed

type: Conference or Workshop Paper

metadata version: 2020-05-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/embc/ShiauNNYKH19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/embc/ShiauNNYKH19
Jia-Yau Shiau, Kenta Nishiyuki, Shigenori Nagae, Tomohiro Yabuuchi, Koichi Kinoshita, Yuki Hasegawa:
Driver Drowsiness Estimation by Parallel Linked Time-Domain CNN with Novel Temporal Measures on Eye States. EMBC 2019: 937-942

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.