Creating a Computable Cognitive Model of Visual Aesthetics for Automatic Aesthetics Evaluation of Robotic Dance Poses

Hua Peng,Chao Tang,Jing Li,Keli Hu,Huosheng Hu,Yulong Ding

doi:10.3390/sym12010023

Abstract

Inspired by human dancers who can evaluate the aesthetics of their own dance poses through mirror observation, this paper presents a corresponding mechanism for robots to improve their cognitive and autonomous abilities. Essentially, the proposed mechanism is a brain-like intelligent system that is symmetrical to the visual cognitive nervous system of the human brain. Specifically, a computable cognitive model of visual aesthetics is developed using the two important aesthetic cognitive neural models of the human brain, which is then applied in the automatic aesthetics evaluation of robotic dance poses. Three kinds of features (color, shape and orientation) are extracted in a manner similar to the visual feature elements extracted by human brains. After applying machine learning methods in different feature combinations, machine aesthetics models are built for automatic evaluation of robotic dance poses. The simulation results show that our approach can process visual information effectively by cognitive computation, and achieved a very good evaluation performance of automatic aesthetics.

Highlights

Robotic dance is a multi-disciplinary research area, involving the arts, cognitive science, robotics, etc
This paper proposes a new computable cognitive model of visual aesthetics to conduct a new automatic aesthetic evaluation of robotic dance poses
The proposed model enables robots to process visual stimulus in a way similar to the human brain processing mechanism, which helps to improve the cognitive ability of robots; By applying the proposed computable cognitive model of visual aesthetics to the aesthetics problem of robotic dance poses, this paper proposes a new approach to achieve automatic aesthetics evaluations of robotic dance poses

Summary

Introduction

Robotic dance is a multi-disciplinary research area, involving the arts, cognitive science, robotics, etc. It can be classified into four categories, namely cooperative human–robot dance, imitation of human dance motions, synchronization for music, and robotic choreography creation [1]. For the category of robotic choreography creation, the aim is to develop the humanoid abilities of robots and understand dance objects (including dance poses, dance motion, and dance works) for robotic dance creation. Only the robotic choreography creation has the aesthetic requirements for dance objects, and accordance with human aesthetics is a necessary feature of good robotic choreography [1]. Aesthetics is a high-level cognitive function of the human brain, and its task is to distinguish the beauty of objects.

Methods

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Discussion

Conclusion