An extension to the FEEDB multimodal database of facial expressions and emotions

Luis Marco-Giménez, Miguel Arevalillo-Herráez, Aladdin Ayesh, Mariusz Szwoch

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

Abstract

FEEDB is a multimodal database that contains recordings of people expressing different emotions, captured by using a Microsoft Kinect sensor. Data were originally provided in the device's proprietary format (XED), requiring both the Microsoft Kinect Studio application and a Kinect sensor attached to the system to use the files. In this paper, we present an extension of the database. For a selection of recordings, we also provide a frame by frame analysis in text format, that allows one to use the data directly for classification purposes. The data provided includes many different features computed from the original recordings, namely tracking status, 6 animation units, head position, head pose (pitch, roll and yaw) and 100 tracked points. These were extracted by using the Microsoft Face Tracking capabilities and are provided for each frame.

Original languageEnglish
Title of host publication29th Annual European Simulation and Modelling Conference 2015, ESM 2015
EditorsAladdin Ayesh, Marwan Al-Akaidi
PublisherEUROSIS
Pages455-460
Number of pages6
ISBN (Electronic)9789077381908
Publication statusPublished - 2015
Externally publishedYes
Event29th Annual European Simulation and Modelling Conference 2015, ESM 2015 - Leicester, United Kingdom
Duration: 26 Oct 201528 Oct 2015

Conference

Conference29th Annual European Simulation and Modelling Conference 2015, ESM 2015
Country/TerritoryUnited Kingdom
CityLeicester
Period26/10/1528/10/15

Keywords

  • Emotions database
  • FEEDB
  • Kinect

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