The effect of sampling rate on the performance of template-based gesture recognizers
The effect of sampling rate on the performance of template-based gesture recognizers
复制标题
采样率对基于模板的手势识别器性能的影响
DOI：
--
复制
发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Radu
中科院分区：
文献类型：
--
作者：
Radu
在这项工作中，我们调查了运动采样率对识别精度和执行时间的影响，目前基于模板的手势识别器，以提供性能指南的从业者和设计师的手势为基础的接口。我们表明，只要6个采样点是足够的欧几里得和角度识别器，以达到高识别率和采样率和手势的动态时间规整技术的数量之间存在线性关系。我们报告的执行时间与我们的控制下采样，这是10-20倍的速度比现有的工作在相同的高识别率。这项工作的结果将有利于从业者提供重要的性能方面考虑时，使用基于模板的手势识别器。
We investigate in this work the effect of motion sampling rate over recognition accuracy and execution time for current template-based gesture recognizers in order to provide performance guidelines to practitioners and designers of gesture-based interfaces. We show that as few as 6 sampling points are sufficient for Euclidean and angular recognizers to attain high recognition rates and that a linear relationship exists between sampling rate and number of gestures for the dynamic time warping technique. We report execution times obtained with our controlled downsampling which are 10-20 times faster than shown by existing work at the same high recognition rates. The results of this work will benefit practitioners by providing important performance aspects to consider when using template-based gesture recognizers.