@inproceedings{28b82d0eaa0b4748b5dd8ea56c582218,
title = "Biometrics for Emotion Detection (BED): Exploring the combination of Speech and ECG",
abstract = "The paradigm Biometrics for Emotion Detection (BED) is introduced, which enables unobtrusive emotion recognition, taking into account varying environments. It uses the electrocardiogram (ECG) and speech, as a powerful but rarely used combination to unravel people{\textquoteright}s emotions. BED was applied in two environments (i.e., office and home-like) in which 40 people watched 6 film scenes. It is shown that both heart rate variability (derived from the ECG) and, when people{\textquoteright}s gender is taken into account, the standard deviation of the fundamental frequency of speech indicate people{\textquoteright}s experienced emotions. As such, these measures validate each other. Moreover, it is found that people{\textquoteright}s environment can indeed of influence experienced emotions. These results indicate that BED might become an important paradigm for unobtrusive emotion detection.",
keywords = "IR-72490, METIS-270943, Biometrics, Context, ECG, Emotion, HMI-CI: Computational Intelligence, speech electrocardiogram, movies, environment, EWI-18220, HMI-MI: MULTIMODAL INTERACTIONS, HMI-HF: Human Factors, F0 / fundamental frequency",
author = "Schut, {Marleen H.} and Kees Tuinenbreijer and {van den Broek}, Egon and Westerink, {Joyce H.D.M.}",
year = "2010",
month = jan,
day = "21",
language = "Undefined",
isbn = "978-989-674-020-7",
publisher = "INSTICC PRESS",
pages = "51--58",
editor = "Jonghwa Kim and Pasi Karjalainen",
booktitle = "Proceedings of the 1st International Workshop on Bio-inspired Human-Machine Interfaces and Healthcare Applications - B-Interface 2010",
note = "1st International Workshop on Bio-inspired Human-Machine Interfaces and Healthcare Applications – B-Interface 2010 ; Conference date: 21-01-2010 Through 21-01-2010",
}