Treffer: Design of static gesture recognition experiment based on machine vision.

A machine vision experiment project is developed by the use of machine learning in this paper. It is intended for undergraduate practical teaching and aims at static gesture recognition. In the algorithm design part of the experiment, support vector machine and convolutional neural network are used separately to implement two gesture recognition algorithms. In addition, the principles, characteristics and processes of two gesture recognition algorithms are introduced in detail. In the algorithm validation part of the experiment, a detailed introduction is given to the method of implementing algorithm simulation using Python language, compilation environment, and datasets. The simulation results show that both algorithms can effectively recognize multiple static gestures. This experimental project includes task analysis, algorithm design, algorithm optimization, programming implementation, and result analysis. Through the training of this experiment, it is helpful to enhance the practical ability of undergraduate students in the field of intelligent image processing. [ABSTRACT FROM AUTHOR]

Copyright of Experimental Technology & Management is the property of Experimental Technology & Management Editorial Office and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)