The Experts below are selected from a list of 90 Experts worldwide ranked by ideXlab platform

Masayuki Kikuchi - One of the best experts on this subject based on the ideXlab platform.

  • SCIS&ISIS - Analysis of music appreciation by Kansei evaluation and brain activity
    The 6th International Conference on Soft Computing and Intelligent Systems and The 13th International Symposium on Advanced Intelligence Systems, 2012
    Co-Authors: Mayu Kakegawa, Ryo Komiyama, Yuko Masakura, Masayuki Kikuchi
    Abstract:

    Music has an effect altering the feeling of the listener. Currently, several researches challenged to manifest the effect of music on the listeners. Previous study revealed that frontal lobe plays an important role for music appreciation. Based on this finding, this study attempted to classify Genre (Category) of music pieces and knowingness/unknowingness of them based on Kansei evaluation and brain activity of frontal lobe obtained from NIRS. Furthermore, we attempted to explain impression of music from brain activity. As a result, discrimination rate about knowingness of music achieved 87%. In Genre discrimination, the discrimination rate became high if data for discrimination were restricted to known music. We can conclude that it is possible to infer subject's knowingness about music and Genre of music from cerebral blood data.

  • Analysis of music appreciation by Kansei evaluation and brain activity
    The 6th International Conference on Soft Computing and Intelligent Systems and The 13th International Symposium on Advanced Intelligence Systems, 2012
    Co-Authors: Mayu Kakegawa, Ryo Komiyama, Yuko Masakura, Masayuki Kikuchi
    Abstract:

    Music has an effect altering the feeling of the listener. Currently, several researches challenged to manifest the effect of music on the listeners. Previous study revealed that frontal lobe plays an important role for music appreciation. Based on this finding, this study attempted to classify Genre (Category) of music pieces and knowingness/unknowingness of them based on Kansei evaluation and brain activity of frontal lobe obtained from NIRS. Furthermore, we attempted to explain impression of music from brain activity. As a result, discrimination rate about knowingness of music achieved 87%. In Genre discrimination, the discrimination rate became high if data for discrimination were restricted to known music. We can conclude that it is possible to infer subject's knowingness about music and Genre of music from cerebral blood data.

Mayu Kakegawa - One of the best experts on this subject based on the ideXlab platform.

  • SCIS&ISIS - Analysis of music appreciation by Kansei evaluation and brain activity
    The 6th International Conference on Soft Computing and Intelligent Systems and The 13th International Symposium on Advanced Intelligence Systems, 2012
    Co-Authors: Mayu Kakegawa, Ryo Komiyama, Yuko Masakura, Masayuki Kikuchi
    Abstract:

    Music has an effect altering the feeling of the listener. Currently, several researches challenged to manifest the effect of music on the listeners. Previous study revealed that frontal lobe plays an important role for music appreciation. Based on this finding, this study attempted to classify Genre (Category) of music pieces and knowingness/unknowingness of them based on Kansei evaluation and brain activity of frontal lobe obtained from NIRS. Furthermore, we attempted to explain impression of music from brain activity. As a result, discrimination rate about knowingness of music achieved 87%. In Genre discrimination, the discrimination rate became high if data for discrimination were restricted to known music. We can conclude that it is possible to infer subject's knowingness about music and Genre of music from cerebral blood data.

  • Analysis of music appreciation by Kansei evaluation and brain activity
    The 6th International Conference on Soft Computing and Intelligent Systems and The 13th International Symposium on Advanced Intelligence Systems, 2012
    Co-Authors: Mayu Kakegawa, Ryo Komiyama, Yuko Masakura, Masayuki Kikuchi
    Abstract:

    Music has an effect altering the feeling of the listener. Currently, several researches challenged to manifest the effect of music on the listeners. Previous study revealed that frontal lobe plays an important role for music appreciation. Based on this finding, this study attempted to classify Genre (Category) of music pieces and knowingness/unknowingness of them based on Kansei evaluation and brain activity of frontal lobe obtained from NIRS. Furthermore, we attempted to explain impression of music from brain activity. As a result, discrimination rate about knowingness of music achieved 87%. In Genre discrimination, the discrimination rate became high if data for discrimination were restricted to known music. We can conclude that it is possible to infer subject's knowingness about music and Genre of music from cerebral blood data.

Yuko Masakura - One of the best experts on this subject based on the ideXlab platform.

  • SCIS&ISIS - Analysis of music appreciation by Kansei evaluation and brain activity
    The 6th International Conference on Soft Computing and Intelligent Systems and The 13th International Symposium on Advanced Intelligence Systems, 2012
    Co-Authors: Mayu Kakegawa, Ryo Komiyama, Yuko Masakura, Masayuki Kikuchi
    Abstract:

    Music has an effect altering the feeling of the listener. Currently, several researches challenged to manifest the effect of music on the listeners. Previous study revealed that frontal lobe plays an important role for music appreciation. Based on this finding, this study attempted to classify Genre (Category) of music pieces and knowingness/unknowingness of them based on Kansei evaluation and brain activity of frontal lobe obtained from NIRS. Furthermore, we attempted to explain impression of music from brain activity. As a result, discrimination rate about knowingness of music achieved 87%. In Genre discrimination, the discrimination rate became high if data for discrimination were restricted to known music. We can conclude that it is possible to infer subject's knowingness about music and Genre of music from cerebral blood data.

  • Analysis of music appreciation by Kansei evaluation and brain activity
    The 6th International Conference on Soft Computing and Intelligent Systems and The 13th International Symposium on Advanced Intelligence Systems, 2012
    Co-Authors: Mayu Kakegawa, Ryo Komiyama, Yuko Masakura, Masayuki Kikuchi
    Abstract:

    Music has an effect altering the feeling of the listener. Currently, several researches challenged to manifest the effect of music on the listeners. Previous study revealed that frontal lobe plays an important role for music appreciation. Based on this finding, this study attempted to classify Genre (Category) of music pieces and knowingness/unknowingness of them based on Kansei evaluation and brain activity of frontal lobe obtained from NIRS. Furthermore, we attempted to explain impression of music from brain activity. As a result, discrimination rate about knowingness of music achieved 87%. In Genre discrimination, the discrimination rate became high if data for discrimination were restricted to known music. We can conclude that it is possible to infer subject's knowingness about music and Genre of music from cerebral blood data.

Ryo Komiyama - One of the best experts on this subject based on the ideXlab platform.

  • SCIS&ISIS - Analysis of music appreciation by Kansei evaluation and brain activity
    The 6th International Conference on Soft Computing and Intelligent Systems and The 13th International Symposium on Advanced Intelligence Systems, 2012
    Co-Authors: Mayu Kakegawa, Ryo Komiyama, Yuko Masakura, Masayuki Kikuchi
    Abstract:

    Music has an effect altering the feeling of the listener. Currently, several researches challenged to manifest the effect of music on the listeners. Previous study revealed that frontal lobe plays an important role for music appreciation. Based on this finding, this study attempted to classify Genre (Category) of music pieces and knowingness/unknowingness of them based on Kansei evaluation and brain activity of frontal lobe obtained from NIRS. Furthermore, we attempted to explain impression of music from brain activity. As a result, discrimination rate about knowingness of music achieved 87%. In Genre discrimination, the discrimination rate became high if data for discrimination were restricted to known music. We can conclude that it is possible to infer subject's knowingness about music and Genre of music from cerebral blood data.

  • Analysis of music appreciation by Kansei evaluation and brain activity
    The 6th International Conference on Soft Computing and Intelligent Systems and The 13th International Symposium on Advanced Intelligence Systems, 2012
    Co-Authors: Mayu Kakegawa, Ryo Komiyama, Yuko Masakura, Masayuki Kikuchi
    Abstract:

    Music has an effect altering the feeling of the listener. Currently, several researches challenged to manifest the effect of music on the listeners. Previous study revealed that frontal lobe plays an important role for music appreciation. Based on this finding, this study attempted to classify Genre (Category) of music pieces and knowingness/unknowingness of them based on Kansei evaluation and brain activity of frontal lobe obtained from NIRS. Furthermore, we attempted to explain impression of music from brain activity. As a result, discrimination rate about knowingness of music achieved 87%. In Genre discrimination, the discrimination rate became high if data for discrimination were restricted to known music. We can conclude that it is possible to infer subject's knowingness about music and Genre of music from cerebral blood data.

Aleysia K. Whitmore - One of the best experts on this subject based on the ideXlab platform.

  • World Music and the Black Atlantic - Setting the Scene: The World Music Industry
    World Music and the Black Atlantic, 2020
    Co-Authors: Aleysia K. Whitmore
    Abstract:

    Part I examines the world music industry from the points of view of European and American industry personnel (e.g., booking agents, record labels personnel, tour managers). Chapter 1 contextualizes the world music industry in the larger music and culture industries. Since its birth in 1987, world music has been a vague Category. It has encompassed an enormous variety of music: traditional and folk musics, newly composed traditional musics, and vintage and contemporary popular musics. What, then, is “world music”? Where did it come from? After providing a historical overview of world music through its emergence as a Genre Category in the 1980s and its growth in the ’90s, the chapter examines how culture industries have, in collaboration with consumers, developed a market for, and expectations of, ethnic “others” in Europe and North America.