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Sensors 2015, 15(3), 5518-5530; doi:10.3390/s150305518

Design of a Mobile Brain Computer Interface-Based Smart Multimedia Controller

1
Department of Industrial Design, Chang-Gung University, Taoyuan 333, Taiwan
2
Healthy Aging Research Centre, Chang Gung University, Taoyuan 333, Taiwan
3
Department of Computer Science and Information Engineering, National Taipei University, New Taipei 237, Taiwan
4
Department of Physical Medicine and Rehabilitation, Chang Gung Medical Foundation, Taoyuan 333, Taiwan
5
Institute of Imaging and Biomedical Photonics, National Chiao Tung University, Tainan 711, Taiwan
6
Department of Medical Research, Chi-Mei Medical Center, Tainan 710, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editor: Gianluca Paravati
Received: 2 January 2015 / Revised: 11 February 2015 / Accepted: 2 March 2015 / Published: 6 March 2015
(This article belongs to the Special Issue HCI In Smart Environments)
View Full-Text   |   Download PDF [2148 KB, uploaded 6 March 2015]   |  

Abstract

Music is a way of expressing our feelings and emotions. Suitable music can positively affect people. However, current multimedia control methods, such as manual selection or automatic random mechanisms, which are now applied broadly in MP3 and CD players, cannot adaptively select suitable music according to the user’s physiological state. In this study, a brain computer interface-based smart multimedia controller was proposed to select music in different situations according to the user’s physiological state. Here, a commercial mobile tablet was used as the multimedia platform, and a wireless multi-channel electroencephalograph (EEG) acquisition module was designed for real-time EEG monitoring. A smart multimedia control program built in the multimedia platform was developed to analyze the user’s EEG feature and select music according his/her state. The relationship between the user’s state and music sorted by listener’s preference was also examined in this study. The experimental results show that real-time music biofeedback according a user’s EEG feature may positively improve the user’s attention state. View Full-Text
Keywords: brain computer interface; multimedia controller; electroencephalograph; music biofeedback brain computer interface; multimedia controller; electroencephalograph; music biofeedback
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Tseng, K.C.; Lin, B.-S.; Wong, A.M.-K.; Lin, B.-S. Design of a Mobile Brain Computer Interface-Based Smart Multimedia Controller. Sensors 2015, 15, 5518-5530.

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