Sonic Home: Environmental Sound Collection Game for Human Activity Recognition

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This paper presents a new smartphone game for collecting environmental sounds using a participatory sensing approach. In our game, a player becomes an owner of a virtual house and furnishes the house with in-game items that are obtained by collecting environmental sounds. The collected sounds are used to train an environmental sound recognition model for daily activity recognition. However, such participatory sensing systems have several issues related to, for example, motivation of users and reliability of collected data. To cope with the issues, we propose and implement gamified functions for controlling the quality and diversity of collected data. We conducted an experiment to evaluate the developed functions and confirmed the effectiveness of our developed functions.\n------------------------------This is a preprint of an article intended for publication Journal ofInformation Processing(JIP). This preprint should not be cited. Thisarticle should be cited as: Journal of Information Processing Vol.24(2016) No.2 (online)------------------------------

This paper presents a new smartphone game for collecting environmental sounds using a participatory sensing approach. In our game, a player becomes an owner of a virtual house and furnishes the house with in-game items that are obtained by collecting environmental sounds. The collected sounds are used to train an environmental sound recognition model for daily activity recognition. However, such participatory sensing systems have several issues related to, for example, motivation of users and reliability of collected data. To cope with the issues, we propose and implement gamified functions for controlling the quality and diversity of collected data. We conducted an experiment to evaluate the developed functions and confirmed the effectiveness of our developed functions.\n------------------------------This is a preprint of an article intended for publication Journal ofInformation Processing(JIP). This preprint should not be cited. Thisarticle should be cited as: Journal of Information Processing Vol.24(2016) No.2 (online)------------------------------

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詳細情報 詳細情報について

  • CRID
    1050282812883732864
  • NII論文ID
    170000130856
  • NII書誌ID
    AN00116647
  • ISSN
    18827764
  • Web Site
    http://id.nii.ac.jp/1001/00148154/
  • 本文言語コード
    en
  • 資料種別
    journal article
  • データソース種別
    • IRDB
    • CiNii Articles

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