MyMusicShuffler: Mood-based music recommendation with the practical usage of brainwave signals

Author

Saim Shin ; Dalwon Jang ; Lee, John Jaehwan ; Sei-Jin Jang ; Ji-Hwan Kim

Author_Institution

Smart Media Res. Center, Korea Electron. Technol. Inst., Seongnam, South Korea

fYear

2014

fDate

10-13 Jan. 2014

Firstpage

355

Lastpage

356

Abstract

This paper proposes an automatic music service, the MyMusicShuffler, which recommends music based on received brain signals. This service is focused on eliminating the unnecessary hand interactions in multi-tasking environments. By analyzing brainwave signals, the application can select music which effectively reflects the emotional responses of the user in real time. This paper explains the implementation of the service, MyMusicShuffler, a mood-based music recommendation service which interacts with the mood status of user.

Keywords

brain-computer interfaces; electroencephalography; emotion recognition; medical signal processing; music; recommender systems; signal classification; EEG based mood classifier; MyMusicShuffler; automatic music service; brain machine interfaces; brainwave signal analysis; brainwave signal usage; electroencephalography; mood-based music recommendation service; multitasking environments; music selection; unnecessary hand interaction elimination; user emotional responses; Brain models; Electroencephalography; Mood; Multiple signal classification; Real-time systems; Recommender systems; Brain machine interfaces; EEG based mood classifier; Mood-based music recommendation;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics (ICCE), 2014 IEEE International Conference on

Conference_Location

Las Vegas, NV

ISSN

2158-3994

Print_ISBN

978-1-4799-1290-2

Type

conf

DOI

10.1109/ICCE.2014.6776039

Filename

6776039