基于边缘计算的社交机器人和数字媒体对舞蹈表演娱乐环境的影响

IF 2.8 3区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS
Li Pei
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引用次数: 0

摘要

本文提出了一种新型社交机器人系统,通过舞蹈图像特征提取和舞蹈动作模仿实现机器人舞蹈创作,从而推动数字媒体舞蹈娱乐文化的发展。本文采用边缘计算模型,在机器人自身计算能力的基础上,将一些与图像处理和动作模仿相关的计算任务下放到网络边缘,以提高舞蹈表演的实时性和流畅性。该研究利用图像特征提取技术对舞蹈图像进行分析和处理,实现了机器人对舞蹈动作的模仿。通过机器人对舞蹈动作的模仿和创新,可以为数字媒体舞蹈表演提供独特的形式和内容。数字媒体技术提供了丰富的表现手段和形式,可以使机器人舞蹈表演更具创造性和艺术性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Influence of social robots and digital media based on edge computing on dance performance entertainment environment

This article proposes a new social robot system that achieves robot dance creation through dance image feature extraction and dance action imitation, thereby promoting the development of digital media dance entertainment culture. This paper uses the edge computing model, and on the basis of the robot’s own computing power, puts some computing tasks related to image processing and action imitation down to the edge of the network to improve the real-time and fluency of dance performance. The study utilized image feature extraction technology to analyze and process dance images, achieving the imitation of dance movements by robots. By imitating and innovating dance movements through robots, unique forms and content can be provided for digital media dance performances. Digital media technology provides rich means and forms of expression, which can make robot dance performances more creative and artistic.

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来源期刊
Entertainment Computing
Entertainment Computing Computer Science-Human-Computer Interaction
CiteScore
5.90
自引率
7.10%
发文量
66
期刊介绍: Entertainment Computing publishes original, peer-reviewed research articles and serves as a forum for stimulating and disseminating innovative research ideas, emerging technologies, empirical investigations, state-of-the-art methods and tools in all aspects of digital entertainment, new media, entertainment computing, gaming, robotics, toys and applications among researchers, engineers, social scientists, artists and practitioners. Theoretical, technical, empirical, survey articles and case studies are all appropriate to the journal.
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