Sentence examples for mean recognition rates from inspiring English sources

In [41], different approaches based upon global representations of gestures are tested, and yield mean recognition rates between 80.8 and 91.9%.

Figure 2 shows mean recognition rates for each emotional category and each group.

Columns 4 9 give the results for each cross-validation, and the tenth column lists the mean recognition rates.

In patients with left TLE the mean recognition rates for 'pictures' were 0.7 preoperatively and 0.6 postoperatively, for 'words', 0.5 preoperatively and 0.45 postoperatively, and 0.3 for 'faces' pre- and postoperatively.

In patients with right TLE the mean recognition rates were 0.7 for 'pictures' pre- and postoperatively, 0.5 for 'words' pre- and postoperatively and 0.2 for 'faces' preoperatively and 0.1 for 'faces' postoperatively.

This is the mean recognition rate in both sequences.

Using linear discriminate analysis (LDA) classifier they reported a mean recognition rate of 83.6%.

The mean recognition rate of the classification of five different types of SSVEP response is 95.61% on a time segment length of 1 s.

Hao and Thomas used 96 lines and their slopes[9] to recognize six basic expressions and recorded a mean recognition rate of 87.1% using the SVM classifier.

Such results can be compared to the ones obtained in [6] on the same corpus, where the authors yield 90.9% mean recognition rate, and five categories of gestures reach 96.5% at least.

The sentences presented in the current study were the top-10 highest rated from the previous rating study, hence ensuring very good quality of emotional portrayal (with mean recognition rate obtained from healthy participants ranging above 80% correct).