Notice that in the results above, there are three sections that appear to be matches, but are not. Whether it was noise, not a good enough match, or a different reason, the calculation did not deem these good enough to specify a match.. In this case, a good way to improve the accuracy of matches is to use Multichannel Template Matching. The Multichannel Template Matching calculation will look at a template from the same specified time, but in a different data series, and use its correlation as well to determine matches. For instance, we are using the X accelerometer channel for the L TA, we could add in a different axis of the accelerometer, since it should have been seeing directly correlated events in the same times we are looking at. In this case we will use the Y axis.