2023
DOI: 10.3390/s23031096
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k-Tournament Grasshopper Extreme Learner for FMG-Based Gesture Recognition

Abstract: The recognition of hand signs is essential for several applications. Due to the variation of possible signals and the complexity of sensor-based systems for hand gesture recognition, a new artificial neural network algorithm providing high accuracy with a reduced architecture and automatic feature selection is needed. In this paper, a novel classification method based on an extreme learning machine (ELM), supported by an improved grasshopper optimization algorithm (GOA) as a core for a weight-pruning process, … Show more

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