The interactive demands of the upcoming ubiquitous computing era have set off researchers
and practitioners toward prototyping new gesture-sensing devices and gadgets. At the same
time, the practical needs of developing for such miniaturized prototypes with sometimes very
low processing power and memory resources make practitioners in high demand of fast
gesture recognizers employing little memory. However, the available work on motion
gesture classifiers has mainly focused on delivering high recognition performance with less …