Search Results

You are looking at 1 - 2 of 2 items for :

  • gait biomechanics x
  • Computer Sciences x
Clear All
Open access

B. Serrien, R. Clijsen, S. Anders, M. Goossens and J-P. Baeyens

REFERENCES Bartlett, R. (2006). Artificial Intelligence in Sports Biomechanics: New Dawn or False Hope? Journal of Sport Science and Medecine , 5 (July), 474–479. Bartlett, R., Wheat, J., & Robins, M. (2007). Is movement variability important for sports biomechanists? Sports Biomechanics , 6 (2), 224–243. Bauer, H., & Schöllhorn, W. (1997). Self-Organizing Maps for the Analysis of Complex Movement Patterns. Neural Processing Letters , 5 , 193–199. Button, C., Wheat, J., & Lamb, P. (2014). Why coordination dynamics is relevant for

Open access

B. Serrien, M. Goossens and J-P. Baeyens

to analyze movement variability. International Journal of Computer Science in Sport , 7 (1), 28–39. Lamb, P. F., & Stöckl, M. (2014). On the use of continuous relative phase: Review of current approaches and outline for a new standard. Clinical Biomechanics , 29 (5), 484–493. Lapham, A. C., & Bartlett, R. M. (1995). The use of artificial intelligence in the analysis of sports performance: A review of applications in human gait analysis and future directions for sports biomechanics. Journal of Sports