Improvement of ELM Algorithm for Multi-object Identification in Gesture Interaction

ELM algorithm has been widely applied in gesture recognition. When the dataset is multi-objective, however, using classical ELM algorithm directly may produce a big recognition error. To address this problem, an improved ELM recognition algorithm is proposed. The presented ELM algorithm is characterized as building separated ELM network for each gesture instead of constructing a unified ELM network for all gestures. A simplified and optimized feature is proposed. Comparison experiment between the classical ELM algorithm and the optimized ELM algorithm aiming to four classical gestures are conducted. The result shows that the training accuracy of the improved algorithm is about 5.25 times of the classical algorithm, and the right recognition ability of the improved algorithm is more than 1.8 times than the classical algorithm. The training time of the optimized algorithm is less than that of the classical algorithm.

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