Daijin Kim and his team at POSTECH (Pohang University of Science and Technology), South Korea, have developed a virtual dance teacher that can make learning famous K-Pop dances easier at home by precisely tracking 3D body joints. Kim presented the relevant technical paper at ICIP 2015 (IEEE International Conference on Image Processing 2015).
Kim and his team successfully developed the precise 3D tracking of 15 human body joints using Big Data of the human body and the relational information among human body joints and its tracking performance showed a 4.5 cm error on average among 15 human body joints.
In order to develop the virtual K-Pop dance teacher, the team selected a hundred K-POP dance routines that were performed by a professional dancer and collected the moves of 15 body joints of each dancing movement. They then extracted the moves of 15 body joints from a dance learner using the developed precise 3D tracking of body joints and evaluated the average similarity between the body joint movements of the dance learner and those of the professional dancer.
They also developed a score monitoring method based on the similarity and represented how much each body part of a dance learner is deviated from the corresponding body part of a professional dancer. The brightness of each body part specifies the similarity of dance movements of each body part