Abstract
In this research, a recurrent neural network with parametric bias (RNNPB) was adopted to construct a continuous expression space from emotion caused human behaviours. It made use of the short-term memory ability of the recurrent weights to store spatio-temporal sequences features, while the attached parametric bias units were trained in a self-organizing way and represented as a low-dimensional expression space to capture these non-linear features of the sequences. Three demonstrations were given: training and recognition performances were examined in computer simulations, while the network generated both trained and novel movements were shown in a three-dimensional avatar demonstrations.
Original language | English |
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Title of host publication | IEEE ICDL-EPIROB 2014 - 4th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 75-80 |
Number of pages | 6 |
ISBN (Electronic) | 9781479975402 |
DOIs | |
Publication status | Published - 2014 Dec 11 |
Externally published | Yes |
Event | 4th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, IEEE ICDL-EPIROB 2014 - Genoa Duration: 2014 Oct 13 → 2014 Oct 16 |
Other
Other | 4th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, IEEE ICDL-EPIROB 2014 |
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City | Genoa |
Period | 14/10/13 → 14/10/16 |
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Computer Vision and Pattern Recognition