STAR: A Privacy-Preserving, Energy-Efficient Edge AI Framework for Human Activity Recognition via Wi-Fi CSI in Mobile and Pervasive Computing Environments.

Liu K, Zhao Q, Wang R, Lin Y, Yu J, Fong SJ

Open source

DOI
10.3390/s26123692
Published
2026 Jun 10
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/s26123692,
  title = {STAR: A Privacy-Preserving, Energy-Efficient Edge AI Framework for Human Activity Recognition via Wi-Fi CSI in Mobile and Pervasive Computing Environments.},
  author = {Liu K and Zhao Q and Wang R and Lin Y and Yu J and Fong SJ},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26123692},
  url = {https://doi.org/10.3390/s26123692}
}

RIS

TY  - JOUR
TI  - STAR: A Privacy-Preserving, Energy-Efficient Edge AI Framework for Human Activity Recognition via Wi-Fi CSI in Mobile and Pervasive Computing Environments.
AU  - Liu K
AU  - Zhao Q
AU  - Wang R
AU  - Lin Y
AU  - Yu J
AU  - Fong SJ
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26123692
UR  - https://doi.org/10.3390/s26123692
ER  - 

APA

K, L., Q, Z., R, W., Y, L., J, Y., & SJ, F. (2026). STAR: A Privacy-Preserving, Energy-Efficient Edge AI Framework for Human Activity Recognition via Wi-Fi CSI in Mobile and Pervasive Computing Environments.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26123692

Source records