@article{ThielQuandtCarteretal.2014,
  author    = {David V. Thiel and Julian Quandt and Sarah J. L. Carter and Gene Moyle},
  title     = {Accelerometer based performance assessment of basic routines in classical ballet},
  series   = {Procedia Engineering},
  volume    = {72},
  publisher = {Elsevier},
  issn      = {1877-7058},
  doi       = {10.1016/j.proeng.2014.06.006},
  url       = {https://nbn-resolving.org/urn:nbn:de:hbz:1044-opus-12030},
  pages     = {14 -- 19},
  year      = {2014},
  abstract  = {Abstract Classical ballet requires dancers to exercise significant muscle control and strength both while stationary and when moving. Following the Royal Academy of Dance (RAD) syllabus, 8 male and 27 female dancers (aged 20.2 + 1.9 yr) in a full-time university undergraduate dance training program were asked to stand in first position for 10 seconds and then perform 10 repeats of a demi-pli{\´e} 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 5RMS6 acceleration amplitude 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.},
  language  = {en}
}