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 language | English |
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Title of host publication | 29th Annual European Simulation and Modelling Conference 2015, ESM 2015 |
Editors | Aladdin Ayesh, Marwan Al-Akaidi |
Publisher | EUROSIS |
Pages | 455-460 |
Number of pages | 6 |
ISBN (Electronic) | 9789077381908 |
Publication status | Published - 2015 |
Externally published | Yes |
Event | 29th Annual European Simulation and Modelling Conference 2015, ESM 2015 - Leicester, United Kingdom Duration: 26 Oct 2015 → 28 Oct 2015 |
Conference
Conference | 29th Annual European Simulation and Modelling Conference 2015, ESM 2015 |
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Country/Territory | United Kingdom |
City | Leicester |
Period | 26/10/15 → 28/10/15 |
Keywords
- Emotions database
- FEEDB
- Kinect