• DocumentCode
    525641
  • Title

    Design of the emotion database based on ISO/IEC 11179 using the breathing rate

  • Author

    Son, Hyunseung ; Son, Byounghee

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
  • fYear
    2010
  • fDate
    23-25 June 2010
  • Firstpage
    579
  • Lastpage
    582
  • Abstract
    Measurement of the breathing capacity in the respiratory function of patients, a health examination of common people, and an industrial disaster evaluation are planned for the entire nation. Particularly, in typical environments as the importance of emotional technology increases, interest in research related to emotion reasoning according to breathing capacity has increased. Data collected by breathing capacity sensors can extract emotion data through ISO/IEC 11179 - MDR (Meta Data Registries) standard model. After measuring and analyzing respiration among other biological signs, the human single-dimension emotions of Pleasantness, Unpleasantness, Arousal, and Relaxation were expressed via objective and quantitative data by mapping in a two-dimension domain.
  • Keywords
    artificial intelligence; database management systems; emotion recognition; ISO/IEC 11179; arousal; breathing capacity measurement; breathing capacity sensors; breathing rate; emotion database; emotional technology; health examination; industrial disaster evaluation; meta data registries standard model; patient respiratory function; quantitative data; relaxation; single-dimension emotion; two-dimension domain; unpleasantness; Data engineering; Databases; Design engineering; Electric variables measurement; Electronics industry; Humans; IEC standards; ISO standards; Industrial electronics; Pervasive computing; Breathing Rate; Data Management; Emotion Data; Emotion Database; ISO/IEC 11179;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Data Mining (SEDM), 2010 2nd International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-7324-3
  • Electronic_ISBN
    978-89-88678-22-0
  • Type

    conf

  • Filename
    5542855