Summary of the paper

Title A Multimodal Dataset for Deception Detection
Authors Veronica Perez-Rosas, Rada Mihalcea, Alexis Narvaez and Mihai Burzo
Abstract This paper presents the construction of a multimodal dataset for deception detection, including physiological, thermal, and visual responses of human subjects under three deceptive scenarios. We present the experimental protocol, as well as the data acquisition process. To evaluate the usefulness of the dataset for the task of deception detection, we present a statistical analysis of the physiological and thermal modalities associated with the deceptive and truthful conditions. Initial results show that physiological and thermal responses can differentiate between deceptive and truthful states.
Full paper A Multimodal Dataset for Deception Detection
Bibtex @InProceedings{PEREZROSAS14.869,
  author = {Veronica Perez-Rosas and Rada Mihalcea and Alexis Narvaez and Mihai Burzo},
  title = {A Multimodal Dataset for Deception Detection},
  booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
  year = {2014},
  month = {may},
  date = {26-31},
  address = {Reykjavik, Iceland},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-8-4},
  language = {english}
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