Towards a music visualization on robot (MVR) prototype

Author First name, Last name, Institution

Pei Chun Lin, Feng Chia University
David Mettrick, Faculty of Business and Information Technology
Patrick C.K. Hung, Faculty of Business and Information Technology
Farkhund Iqbal, Zayed University

Document Type

Conference Proceeding

Source of Publication

Proceedings - 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018

Publication Date

1-15-2019

Abstract

© 2018 IEEE. This paper presents a Music Visualization on Robot (MVR) prototype system which automatically links the flashlight, color and emotion of a robot through music. The MVR system is divided into three portions. Firstly, the system calculates the waiting time for a flashlight by beat tracking. Secondly, the system calculates the emotion correlated with music mood. Thirdly, the system links the color with emotion. To illustrate the prototype on a robot, the prototype implementation is based on a programmable robot called Zenbo because Zenbo has 8 LED light colors on 2 wheels and 24 face emotions to support various compositions.

DOI Link

10.1109/aivr.2018.00060

ISBN

9781538692691

Publisher

Institute of Electrical and Electronics Engineers Inc.

First Page

256

Last Page

257

Disciplines

Computer Sciences

Keywords

Beat Tracking, Music Information Retrieval, Music Sentiment Analysis, Music Signal Analysis, Music Visualization on Robot (MVR), Robotic Computing

Scopus ID

85062181966

Recommended Citation

Lin, Pei Chun; Mettrick, David; Hung, Patrick C.K.; and Iqbal, Farkhund, "Towards a music visualization on robot (MVR) prototype" (2019). All Works. 3697.
https://zuscholars.zu.ac.ae/works/3697

Indexed in Scopus

yes

Open Access

no