Sentence examples for classification gesture from inspiring English sources

The landmarking accuracy on the performance of the registration, expression classification, gesture recognition and AAM fitting algorithms, respectively, would be goal-oriented measures of landmarking.

We achieve 87.3% correct gesture classification on a seven-gesture test database, and the performance reaches 98.2% correct detection under a fusion scheme.

Results provide an approximate upper bound on feeding gesture classification using exact segmentation techniques, and show improvement when compared to prior sliding window techniques.

We use a neuro-fuzzy system (NFS) for the classification of human gesture and apply an evolution strategy for parameter tuning and pruning of membership functions.

With operator identity recognition, the gesture classification model owned by the operator can be further adjusted using the operator's active gestures, and a user-adaptive sport instructor robot system can then be achieved.

Previous works have concentrated on hand gesture classification [1, 2, 10].

Previous works have concentrated on hand gesture classification (see [1, 2] and references in [3, 4]) where gesture command is based on slow movements with large amplitudes.

The proposed system has been also evaluated with another public dataset (OPPORTUNITY dataset) demonstrating competitive results (compared to previous work [31]) in two main tasks for home care monitoring: high-level locomotion and mid-level gesture classification.

This paper investigates techniques for a reliable, unconstrained detection and classification of bimanual gestures.

Promising and competitive results are also achieved on classification of naturally occurring gesture clips of LIlir TwoTalk Corpus.

In this article, a multiclass least-square support vector machine (LS-SVM) is proposed for classification of different facial gestures EMG signals.