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Jeroen Smeets

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Methodological Publications

When analysing human movement data, it is important to very well think about the way the data are processed. Below are several publications that evaluate how conclusions depend on the way the movement data are analysed. We also hava provided ways to determine what the optimal filter frequency is, how we can determine the latency of a movement adjustment and the moment that a movement ends.

  • Schreven S, Beek PJ, Smeets JBJ (2015). Optimising filtering parameters for a 3D motion analysis system. Journal of Electromyography and Kinesiology 25: 808-814 (reprint, DOI)
  • Oostwoud Wijdenes L, Brenner E, Smeets JBJ (2014) Analysis of methods to determine the latency of online movement adjustments. Behavior Research Methods 46:131-139(reprint, DOI)
  • Pinter IJ, van Soest AJ, Bobbert MF, Smeets JBJ (2012). Conclusions on motor control depend on the type of model used to represent the periphery. Biological Cybernetics, 106:441-451. (reprint, DOI)
  • Schot WD, Brenner E, Smeets JBJ (2010) Robust movement segmentation by combining multiple sources of information. Journal of Neuroscience Methods 187:147-155 (reprint, DOI)
  • Smeets JBJ, Louw S (2007) The contribution of covariation to skill improvement is an ambiguous measure: Comment on M¨ller and Sternad (2004). Journal of Experimental Psychology: Human Perception and Performance 33:246-249 (reprint)
  • Brouwer AM, Brenner E, Smeets JBJ (2003) When is behavioral data evidence for a control theory? Tau-coupling revisited. Motor Control, 7 103-110 (reprint)
  • Smeets JBJ (2000) The relation between movement parameters and motor learning. Experimental Brain Research 132:550-552 (reprint, DOI)

My other areas of research are:

 
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