Abstract
This paper describes the Filipino multimodal emotion database (FilMED). FilMED was built with the purpose of developing affective systems for TALA, which is an ambient intelligent empathic space. We collected a total of 11,430 audio–video clips showing acted and spontaneous expressions of emotion involving 25 subjects. We used Filipino emotion labels to annotate the emotion, which includes: kasiyahan (happiness), kalungkutan (sadness), galit (anger), takot (fear), gulat (surprise), and pandidiri (disgust). We also engaged 20 coders to annotate the clips with valence and arousal values using Feeltrace. To show the usefulness of the database, we presented three automatic affect recognition systems that used FilMED to build the affect models.
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