"Feasibility Study of Stress Detection with Machine Learning through EDA ..."

Lili Zhu et al. (2022)

> Home

Details and statistics

DOI: 10.1109/ICC45855.2022.9838970

access: closed

type: Conference or Workshop Paper

metadata version: 2022-12-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icc/ZhuNYWSHP22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icc/ZhuNYWSHP22
Lili Zhu, Pai Chet Ng, Yuanhao Yu, Yang Wang, Petros Spachos, Dimitrios Hatzinakos, Konstantinos N. Plataniotis:
Feasibility Study of Stress Detection with Machine Learning through EDA from Wearable Devices. ICC 2022: 4800-4805

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.