• DocumentCode
    2470184
  • Title

    Time-frequency analysis of human motion during rhythmic exercises

  • Author

    Omkar, S.N. ; Vyas, Khushi ; Vikranth, H.N.

  • Author_Institution
    Dept. of Aerosp. Eng., Indian Inst. of Sci., Bangalore, India
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    1279
  • Lastpage
    1282
  • Abstract
    Biomechanical signals due to human movements during exercise are represented in time-frequency domain using Wigner Distribution Function (WDF). Analysis based on WDF reveals instantaneous spectral and power changes during a rhythmic exercise. Investigations were carried out on 11 healthy subjects who performed 5 cycles of sun salutation, with a body-mounted Inertial Measurement Unit (IMU) as a motion sensor. Variance of Instantaneous Frequency (I.F) and Instantaneous Power (I.P) for performance analysis of the subject is estimated using one-way ANOVA model. Results reveal that joint Time-Frequency analysis of biomechanical signals during motion facilitates a better understanding of grace and consistency during rhythmic exercise.
  • Keywords
    Wigner distribution; biomechanics; biomedical measurement; motion measurement; statistical analysis; time-frequency analysis; IMU; WDF based analysis; Wigner distribution function; biomechanical signals; body mounted inertial measurement unit; human exercise movements; human motion; instantaneous frequency variance; instantaneous spectral; one way ANOVA model; power changes; rhythmic exercises; sun salutation poses; time-frequency analysis; time-frequency domain; Acceleration; Analysis of variance; Humans; Kinematics; Magnetometers; Sun; Time frequency analysis; Adult; Algorithms; Exercise; Female; Humans; Male; Movement; Periodicity; Psychomotor Performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6090301
  • Filename
    6090301