International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Most Trusted Research Journal Since Year 2012

ISSN: 2319-7064

Research Paper | Computer Science & Engineering | Indonesia | Volume 7 Issue 2, February 2018

Music Recommendation System based on Context and EEG Data

G. A. Vida Mastrika Giri, A.A. I. NgurahEka Karyawati

An effective music recommendation can reduce the effort given by a music listener in choosing a piece of music to be heard. Music recommendations can not only be obtained by similar genre or audio similarity, because the music chosen by the music listeners can be different in different contexts. In this research, a case base for music recommendation system was developed based on the music listeners context in order to make it easier to choose music that suits the current situation. The context used in this study is the personal context of the music listeners consisting of age, gender, emotional states, favorite activities, and musical preferences by genre. An emotional state often called a mood will be detected using brainwave sensors. Brainwaves or Electro Encephalogram (EEG) will be classified based on the emotional state of the listeners and the Case based reasoning (CBR) method used to determine music recommendations based on the context of the listener and EEG data. The system tested to 20 participants and obtained music recommendation accuracy value of 64.5 %.

Keywords: case-based reasoning, context, electro encephalogram, music recommendations

Edition: Volume 7 Issue 2, February 2018

Pages: 477 - 479


How to Cite this Article?

G. A. Vida Mastrika Giri, A.A. I. NgurahEka Karyawati, "Music Recommendation System based on Context and EEG Data", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20179831, Volume 7 Issue 2, February 2018, 477 - 479

36 PDF Views | 37 PDF Downloads

Download Article PDF



Similar Articles with Keyword 'case-based reasoning'

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 10, October 2014

Pages: 498 - 503

Application of GA with SVM for Stock Price Prediction in Financial Market

Om Prakash Jena, Dr. Sudarsan Padhy

Share this article

Research Paper, Computer Science & Engineering, Indonesia, Volume 7 Issue 2, February 2018

Pages: 477 - 479

Music Recommendation System based on Context and EEG Data

G. A. Vida Mastrika Giri, A.A. I. NgurahEka Karyawati

Share this article

Similar Articles with Keyword 'context'

Research Paper, Computer Science & Engineering, India, Volume 5 Issue 8, August 2016

Pages: 1562 - 1566

Personalized Image Search using Ontological Knowledge base User Profiles and Ontology Mining

A. N. R. Latha Kumari, G. Pranitha

Share this article

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 2, February 2015

Pages: 1825 - 1828

Link-Anomaly Detection in Twitter Streams

Shari P S

Share this article

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 5 Issue 6, June 2016

Pages: 1709 - 1713

Rider: A Multi Layer Framework for Road Condition Estimation

Sona P, Divya M

Share this article

Comparative Studies, Computer Science & Engineering, India, Volume 4 Issue 4, April 2015

Pages: 2049 - 2052

Fingerprint Compression Technique using Sparse Representation

Swapnil Raut, Nisha Wankhade

Share this article

Research Paper, Computer Science & Engineering, India, Volume 4 Issue 7, July 2015

Pages: 2199 - 2205

Cost Optimized Data Access with Rank-Join

Sudhir G. Chavan, Vijay B. Patil

Share this article

Similar Articles with Keyword 'music recommendations'

Research Paper, Computer Science & Engineering, Indonesia, Volume 8 Issue 2, February 2019

Pages: 760 - 762

Music Recommendation System Based on Artist Relatedness and Audio Similarity

G. A. Vida Mastrika Giri, A.A.I. Ngurah Eka Karyawati

Share this article

Research Paper, Computer Science & Engineering, Indonesia, Volume 7 Issue 2, February 2018

Pages: 477 - 479

Music Recommendation System based on Context and EEG Data

G. A. Vida Mastrika Giri, A.A. I. NgurahEka Karyawati

Share this article

Top