Artificial Intelligence

    

Gesture Classification using Machine Learning with Advanced Boosting Methods

Authors: Abdurrahim Yilmaz, Dilanur Bayraktar, Melih Akman, Cemre Sahinoglu, Huseyin Uvet

In this paper, a detailed study on gesture classifica- tion using a dataset from Kaggle and optimizing the dataset is presented. The machine learning algorithms, which are SGD, kNN, SVM, MLP, Gaussian Naive Bayes classifier, Random Forest, LightGBM, XGBoost, and CatBoost classifiers, to conduct the research and, are used. The results are compared with each other to conclude which models perform the best in gesture classification. Except for the Gaussian Naive Bayes classifier, all methods resulted in high accuracy.

Comments: 3 Pages.

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[v1] 2021-05-31 12:17:35

Unique-IP document downloads: 521 times

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