Title

Robot computing for music visualization

Document Type

Conference Proceeding

Source of Publication

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Publication Date

1-1-2019

Abstract

© Springer Nature Switzerland AG 2019. This paper presents an algorithm design of Music Visualization on Robot (MVR) which could automatically link the flashlight, color, and emotion through music. We call this algorithm as MVR algorithm that composed by two analyses. First, we focus on Music Signal Analysis. Second, we focus on Music Sentiment Analysis. We integrate two analysis results and implement the MVR algorithm on a robot called Zenbo which is released from ASUS Company. We perform the Zenbo Robot in luminous environments. The MVR system not only could be used in Zenbo robot but also could extend to other fields of Artificial Intelligent (AI) equipment in the future.

ISBN

9783030148119

ISSN

0302-9743

Publisher

Springer Verlag

Volume

11436 LNCS

First Page

438

Last Page

447

Disciplines

Social and Behavioral Sciences

Keywords

Beat tracking, Music Information Retrieval, Music Sentiment Analysis, Music Signal Analysis, Music Visualization on Robot (MVR), Robot computing

Scopus ID

85064877417

Indexed in Scopus

yes

Open Access

no

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