Article
Robot computing for music visualization
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Document Type
Conference Proceeding
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.
DOI Link
ISBN
9783030148119
Publisher
Springer Verlag
Disciplines
Keywords
- Beat tracking,
- Music Information Retrieval,
- Music Sentiment Analysis,
- Music Signal Analysis,
- Music Visualization on Robot (MVR),
- Robot computing
Scopus ID
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1007/978-3-030-14812-6_27
Citation Information
Pei Chun Lin, David Mettrick, Patrick C.K. Hung and Farkhund Iqbal. "Robot computing for music visualization" Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11436 LNCS (2019) p. 438 - 447 ISSN: <p><a href="https://v2.sherpa.ac.uk/id/publication/issn/0302-9743" target="_blank">0302-9743</a></p> Available at: http://works.bepress.com/farkhund-iqbal/134/