"CubeLearn: End-to-End Learning for Human Motion Recognition From Raw ..."

Peijun Zhao et al. (2023)

> Home

Details and statistics

DOI: 10.1109/JIOT.2023.3237494

access: closed

type: Journal Article

metadata version: 2023-06-15

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/iotj/ZhaoLWTM23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/iotj/ZhaoLWTM23
Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham:
CubeLearn: End-to-End Learning for Human Motion Recognition From Raw mmWave Radar Signals. IEEE Internet Things J. 10(12): 10236-10249 (2023)

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.