Multimodal Sensing-Enabled Large Language Models for Automated Emotional Regulation: A Review of Current Technologies, Opportunities, and Challenges.

Yu L, Ge Y, Ansari S, Imran M, Ahmad W

Open source

DOI
10.3390/s25154763
Published
2025 Aug 1
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 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/s25154763,
  title = {Multimodal Sensing-Enabled Large Language Models for Automated Emotional Regulation: A Review of Current Technologies, Opportunities, and Challenges.},
  author = {Yu L and Ge Y and Ansari S and Imran M and Ahmad W},
  year = {2025},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s25154763},
  url = {https://doi.org/10.3390/s25154763}
}

RIS

TY  - JOUR
TI  - Multimodal Sensing-Enabled Large Language Models for Automated Emotional Regulation: A Review of Current Technologies, Opportunities, and Challenges.
AU  - Yu L
AU  - Ge Y
AU  - Ansari S
AU  - Imran M
AU  - Ahmad W
PY  - 2025
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s25154763
UR  - https://doi.org/10.3390/s25154763
ER  - 

APA

L, Y., Y, G., S, A., M, I., & W, A. (2025). Multimodal Sensing-Enabled Large Language Models for Automated Emotional Regulation: A Review of Current Technologies, Opportunities, and Challenges.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25154763

Source records