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2016

Characterizing facial expressions by grammars of action unit sequences - A first investigation using ABL

4 years 3 months ago
Characterizing facial expressions by grammars of action unit sequences - A first investigation using ABL
We investigate the application of grammar inference to the analysis of facial expressions to discover underlying sequential regularities characteristic for a specific mental state. The input consists of sequences of action units (AUs), which represent basic facial signals. The typical classification task for facial expression analysis is to assign a set of AUs its corresponding mental state, e.g., an emotion. To our knowledge, there is no research investigating whether there is diagnostic information in the sequence in which the AUs occur in a given time interval. Our study is based on data of facial expressions of pain obtained in a psychological experiment with 347 pain episodes of 86 subjects represented as sequences of AUs. We applied the Alignment-Based Learning (ABL) approach to infer the underlying grammar for the set of all AUs which occurred in the sequences and for a reduced alphabet of the relevant AUs only. We used 10-fold cross-validation to estimate performance and we ...
Michael Siebers, Ute Schmid, Dominik Seuß, M
Added 05 Apr 2016
Updated 05 Apr 2016
Type Journal
Year 2016
Where ISCI
Authors Michael Siebers, Ute Schmid, Dominik Seuß, Miriam Kunz, Stefan Lautenbacher
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