Multiple Visual Feature Integration Based Automatic Aesthetics Evaluation of Robotic Dance Motions

Abstract

Imitation of human behaviors is one of the effective ways to develop artificial intelligence. Human dancers, standing in front of a mirror, always achieve autonomous aesthetics evaluation on their own dance motions, which are observed from the mirror. Meanwhile, in the visual aesthetics cognition of human brains, space and shape are two important visual elements perceived from motions. Inspired by the above facts, this paper proposes a novel mechanism of automatic aesthetics evaluation of robotic dance motions based on multiple visual feature integration. In the mechanism, a video of robotic dance motion is firstly converted into several kinds of motion history images, and then a spatial feature (ripple space coding) and shape features (Zernike moment and curvature-based Fourier descriptors) are extracted from the optimized motion history images. Based on feature integration, a homogeneous ensemble classifier, which uses three different random forests, is deployed to build a machine aesthetics model, aiming to make the machine possess human aesthetic ability. The feasibility of the proposed mechanism has been verified by simulation experiments, and the experimental results show that our ensemble classifier can achieve a high correct ratio of aesthetics evaluation of 75%. The performance of our mechanism is superior to those of the existing approaches.

Influence of Human–Computer Interaction-Based Intelligent Dancing Robot and Psychological Construct on Choreography

“…Last, from a commercial point of view, the entertainment of dancing robots and their interaction with people make it a vital R&D field in the field of home service robots. During the HCI with dancing robots, people can be participants or evaluators (Peng et al, 2021 ). With human participation, the robot can imitate human action.…”

Research on Automatic Dance Generation System Based on Deep Learning

“…e application interface will present the user with the original dance video and the generated dance video, compare the synthetic e ect, and generate the corresponding indicator description. A simple and generous interface design will result in a positive user experience [16].…”

Automatic Aesthetics Evaluation of Robotic Dance Poses Based on Hierarchical Processing Network

“…Additionally, the existing aesthetic evaluation approaches of other robotic dance objects (dance motion and dance works) still involve only two aspects: human subjective aesthetics [11][12][13][14] and machine learning-based methods [15]. In [11], a robot dance system of hip-hop was implemented, and ten people were invited to conduct an aesthetic evaluation of the generated robotic dance motions by means of questionnaire scoring.…”

“…Qin et al [14] designed a humanoid robot dance system driven by musical structures and emotions, and subjective aesthetic evaluations on robotic dance were conducted by means of a questionnaire investigation. Moreover, we proposed a mechanism of automatic aesthetics evaluation of robotic dance motions based on multiple visual feature integration [15], and a corresponding machine aesthetics model was implemented.…”