title: Time-frequency analysis of human motion during rhythmic exercises.
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.
authors.affiliation: Department of Aerospace Engineering, Indian Institute of Science, Bangalore, India. omkar@aero.iisc.ernet.in
authors.forename: S N
authors.initials: SN
authors.lastname: Omkar
authors.forename: Khushi
authors.initials: K
authors.lastname: Vyas
authors.forename: H N
authors.initials: HN
authors.lastname: Vikranth
mesh_terms: D000328:Adult; D000465:Algorithms; D015444:Exercise / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D009068:Movement / Q000502:physiology*; D010507:Periodicity; D011597:Psychomotor Performance / Q000502:physiology*