Physiological Sensor System for the Detection of Human Moods Towards Internet of Robotic Things Applications

Laura Fiorini 0001, Francesco Semeraro, Gianmaria Mancioppi, Stefano Betti, Luca Santarelli, Filippo Cavallo. Physiological Sensor System for the Detection of Human Moods Towards Internet of Robotic Things Applications. In Hamido Fujita, Enrique Herrera-Viedma, editors, New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 17th International Conference SoMeT_18, Granada, Spain, 26-28 September 2018. Volume 303 of Frontiers in Artificial Intelligence and Applications, pages 967-980, IOS Press, 2018. [doi]

@inproceedings{0001SMBSC18,
  title = {Physiological Sensor System for the Detection of Human Moods Towards Internet of Robotic Things Applications},
  author = {Laura Fiorini 0001 and Francesco Semeraro and Gianmaria Mancioppi and Stefano Betti and Luca Santarelli and Filippo Cavallo},
  year = {2018},
  doi = {10.3233/978-1-61499-900-3-967},
  url = {https://doi.org/10.3233/978-1-61499-900-3-967},
  researchr = {https://researchr.org/publication/0001SMBSC18},
  cites = {0},
  citedby = {0},
  pages = {967-980},
  booktitle = {New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 17th International Conference SoMeT_18, Granada, Spain, 26-28 September 2018},
  editor = {Hamido Fujita and Enrique Herrera-Viedma},
  volume = {303},
  series = {Frontiers in Artificial Intelligence and Applications},
  publisher = {IOS Press},
  isbn = {978-1-61499-900-3},
}