"Identification of potential improvement assembly movements using worker ..."

Ryuto Kawane et al. (2023)

> Home

Details and statistics

DOI: 10.1109/IWCIA59471.2023.10335866

access: closed

type: Conference or Workshop Paper

metadata version: 2024-01-17

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/IEEEiwcia/KawaneIKSNY23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/IEEEiwcia/KawaneIKSNY23
Ryuto Kawane, Hiromasa Ijuin, Koki Karube, Masao Sugi, Tomohiro Nakada, Tetsuo Yamada:
Identification of potential improvement assembly movements using worker classification by motion capture and machine learning. IWCIA 2023: 79-84

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.