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2011 | OriginalPaper | Chapter

A Multimodal Database for Mimicry Analysis

Authors: Xiaofan Sun, Jeroen Lichtenauer, Michel Valstar, Anton Nijholt, Maja Pantic

Published in: Affective Computing and Intelligent Interaction

Publisher: Springer Berlin Heidelberg

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In this paper we introduce a multi-modal database for the analysis of human interaction, in particular mimicry, and elaborate on the theoretical hypotheses of the relationship between the occurrence of mimicry and human affect. The recorded experiments are designed to explore this relationship. The corpus is recorded with 18 synchronised audio and video sensors, and is annotated for many different phenomena, including dialogue acts, turn-taking, affect, head gestures, hand gestures, body movement and facial expression. Recordings were made of two experiments: a discussion on a political topic, and a role-playing game. 40 participants were recruited, all of whom self-reported their felt experiences. The corpus will be made available to the scientific community.

Metadata
Title
A Multimodal Database for Mimicry Analysis
Authors
Xiaofan Sun
Jeroen Lichtenauer
Michel Valstar
Anton Nijholt
Maja Pantic
Copyright Year
2011
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-24600-5_40

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