Tseng Kevin C, Lin Bor-Shing, Wong Alice May-Kuen, Lin Bor-Shyh
Department of Industrial Design, Chang-Gung University, Taoyuan 333, Taiwan.
Healthy Aging Research Centre, Chang Gung University, Taoyuan 333, Taiwan.
Sensors (Basel). 2015 Mar 6;15(3):5518-30. doi: 10.3390/s150305518.
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.
音乐是表达我们感受和情感的一种方式。合适的音乐能对人产生积极影响。然而，当前的多媒体控制方法，如在MP3和CD播放器中广泛应用的手动选择或自动随机机制，无法根据用户的生理状态自适应地选择合适的音乐。在本研究中，提出了一种基于脑机接口的智能多媒体控制器，以根据用户的生理状态在不同情况下选择音乐。在此，使用商用移动平板电脑作为多媒体平台，并设计了一个无线多通道脑电图（EEG）采集模块用于实时EEG监测。在多媒体平台中开发了一个智能多媒体控制程序，以分析用户的EEG特征并根据其状态选择音乐。本研究还考察了用户状态与按听众喜好排序的音乐之间的关系。实验结果表明，根据用户的EEG特征进行实时音乐生物反馈可能会积极改善用户的注意力状态。
