%0 Conference Paper %B Proc. 4th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-Epirob 2014) %D 2014 %T From Continuous Affective Space to Continuous Expression Space: Non-Verbal Behaviour Recognition and Generation %A Junpei Zhong %A Lola Cañamero %X 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. %B Proc. 4th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-Epirob 2014) %I IEEE %C Genoa, Italy %P 75–80 %8 10/2014 %G eng %U http://ieeexplore.ieee.org/document/6982957/ %R 10.1109/DEVLRN.2014.6982957