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Accelerometer based Performance Assessment of Basic Routines in Classical Ballet
Author(s) -
David V. Thiel,
Julian Quandt,
Sarah J.L. Carter,
Gene Moyle
Publication year - 2014
Publication title -
procedia engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.32
H-Index - 74
ISSN - 1877-7058
DOI - 10.1016/j.proeng.2014.06.006
Subject(s) - wrist , accelerometer , rank correlation , dance , torso , ballet , physical medicine and rehabilitation , physical therapy , ankle , spearman's rank correlation coefficient , psychology , mathematics , medicine , computer science , anatomy , statistics , art , literature , operating system
Classical ballet requires dancers to exercise significant muscle control and strength both while stationary and when\udmoving. Following the Royal Academy of Dance (RAD) syllabus, 8 male and 27 female dancers (aged 20.2 + 1.9 yr) in a fulltime university undergraduate dance training program were asked to stand in first position for 10 seconds and then perform 10 repeats of a demi-plié exercise to a counted rhythm. Accelerometer records from the wrist, sacrum, knee and ankle were compared with the numerical scores from a professional dance instructor. The sacrum mounted sensor detected lateral tilts of the torso in dances with lower scores (Spearman’s rank correlation coefficient r = -0.64, p < 0.005). The RMS acceleration\udamplitude of wrist mounted sensor was linearly correlated to the movement scores (Spearman’s rank correlation coefficient r = 0.63, p < 0.005). The application of sacrum and wrist mounted sensors for biofeedback during dance training is a realistic, low cost option

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