Indexing 3-D human motion repositories for content-based retrieval
IEEE Transactions on Information Technology in Biomedicine - Special section on computational intelligence in medical systems
An evolution method of driving seat comfort based on least squares support vector regression
ICNC'09 Proceedings of the 5th international conference on Natural computation
Adaptive and personalised body networking
International Journal of Autonomous and Adaptive Communications Systems
The REFLECT project and the implementation of a seat adaptation system in an automotive environment
Microprocessors & Microsystems
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The possibilities for describing sitting postural control using nonlinear methods was investigated during long-term driving. A total of 85 min of motorway driving intervals (n=12) were used for analysis. The results show that contrary to conventional analysis techniques, nonlinear measures were able to identify a threshold behavior describing the change in discomfort. Visual recurrence plots showed a clear change in the underlying dynamics after 1 hr of driving. The result was confirmed by the statistically significant differences in the stability and complexity of the COP time series, as explored using recurrence quantification analysis and spatio-temporal entropy. The findings of the experiment are consistent with the literature, and present a novel way to uncover transitions of discomfort stages in sitting behavioral research.