Emotion Control of Unstructured Dance Movements
It is difficult to fully represent by-products of our results, and appreciate the quality of modified dance motions in the paper. Therefore, in these pages we include larger format versions of the intermediate results in the paper, together with more dance editing results, as well as our user study analysis. Furthermore, we present the results of the Yumer and Mitra  method. We recommend using the latest version of Firefox, Chrome, and IE to view these results.
1. Clustering Results:
We use the hierarchical clustering algorithm to group similar poses into clusters, resulting in five clusters (crouching, jumping and three different standing styles). Here we show 100 randomly selected exemplar poses for each cluster.
5. User Study:
Representative screen shots for each section of our user study.
6. Comparison with Yumer and Mitra :
The most closely related prior work that transfers styles on independent actions and can be used for comparison is Yumer and Mitra . The authors kindly helped in the evaluation procedure, running our heterogeneous dance motion data in their system. However, since our dance motions are highly non-regular and arbitrary, and since their system is trained using motions of different nature (locomotion), the produced stylized motions suffer from abnormal movements and foot-skating.
Yumer and Mitra  method is limited to transfer style only to those emotions that are in the training dataset, thus style was transferred only to Angry and Depressed (Sad) emotions.
YUMER, M. E., AND MITRA, N. J. 2016. Spectral style transfer for human motion between independent actions. ACM Trans. Graph. 35 (Aug.).