Feature extraction in listening to music using statistical analysis of the EEG

被引：0
|
作者：
Ogawa, Takahiro [1 ]
Karungaru, Stephen [1 ]
Mitsukura, Yasue [2 ]
Fukumi, Minoru [1 ]
Akamatsu, Norio [1 ]
机构：
[1] Univ Tokushima, 2-1 Minami Josanjima, Tokushima 7708506, Japan
[2] Tokyo Univ Agr & Technol, Koganei, Tokyo 1848588, Japan
来源：
2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13 | 2006年
关键词：
music therapy; the EEG; the canonical variate analysis;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to solve stress problems, researchers have studied healing, especially the music therapy. It is mentioned that objective evaluation of the music therapy is an important assignment, and some researchers have tried objective measurement based on physiological change. In this paper, the purpose is extraction of features that may be influenced by the music. We pay attention to EEG (electroencephalogram) as an objective and absolute scale. This paper proposes a method that extracts features of the EEG by the CDA(canonical discriminant analysis. From the result of the experiment, it is suggested that the CDA extracts the features influenced by the individual and the music type.
引用
收藏
页码：3267 / +
页数：2
相关论文
共 50 条
  • [21] Interdependencies in the spontaneous EEG while listening to music
    Bhattacharya, J
    Petsche, H
    Pereda, E
    INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 2001, 42 (03) : 287 - 301
  • [22] EEG spectral changes induced by listening to music
    Sulimov, A
    Lyubimova, Y
    Pavlygina, R
    Davydov, V
    Frolov, M
    Milovanova, G
    INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 1998, 30 (1-2) : 111 - 111
  • [23] Effect of Music Listening on Frontal EEG Asymmetry
    Lee, Yi-Yeh
    See, Aaron Raymond
    Chen, Shih-Chung
    Liang, Chih-Kuo
    INFORMATION, COMMUNICATION AND ENGINEERING, 2013, 311 : 502 - +
  • [24] Wavelet analysis for EEG feature extraction in deception detection
    Merzagora, Anna Caterina
    Bunce, Scott
    Izzetoglu, Meltem
    Onaral, Banu
    2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15, 2006, : 2546 - +
  • [25] EEG analysis of alcoholics and controls based on feature extraction
    Sun, Yuge
    Ye, Ning
    Xu, Xinhe
    2006 8TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-4, 2006, : 294 - +
  • [26] FEATURE-EXTRACTION METHODS FOR SYNTACTIC EEG ANALYSIS
    JANSEN, BH
    BOURNE, JR
    WARD, JW
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1980, 27 (09) : 539 - 539
  • [27] An Experimental Analysis of Motor Imagery EEG Signals Using Feature Extraction and Classification Methodologies
    Shukla, Praveen Kumar
    Chaurasiya, Rahul Kumar
    2018 INTERNATIONAL CONFERENCE ON COMPUTING, POWER AND COMMUNICATION TECHNOLOGIES (GUCON), 2018, : 796 - 799
  • [28] GAME LEVEL DESIGN USING MUSIC FEATURE EXTRACTION
    Ogg, Martin
    Fortuna, Henry S.
    PROCEEDINGS OF CGAMES'2005 - 7TH INTERNATIONAL CONFERENCE ON COMPUTER GAMES: ARTIFICIAL INTELLIGENCE, ANIMATION, MOBILE, EDUCATIONAL AND SERIOUS GAMES, 2005, : 114 - 114
  • [29] GAME LEVEL DESIGN USING MUSIC FEATURE EXTRACTION
    Ogg, Martin
    Fortuna, Henry S.
    PROCEEDINGS OF CGAMES'2005 - 7TH INTERNATIONAL CONFERENCE ON COMPUTER GAMES: ARTIFICIAL INTELLIGENCE, ANIMATION, MOBILE, EDUCATIONAL AND SERIOUS GAMES, 2005, : 109 - 113
  • [30] An intelligent music genre analysis using feature extraction and classification using deep learning techniques
    Wang Hongdan
    SalmiJamali, Siti
    Chen Zhengping
    Shan Qiaojuan
    Ren Le
    COMPUTERS & ELECTRICAL ENGINEERING, 2022, 100
12345