Hand gesture recognition using discrete wavelet transform and hidden Markov models

[...]goal of this research was to create a hand gesture recognition system that had good performances using discrete wavelet transform and hidden Markov models. The purpose of this research was to be able to design a hand gesture recognition system based on digital images using DWT as feature extrac...

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Bibliographic Details
Published in:Telkomnika 2020-10, Vol.18 (5), p.2265-2275
Main Authors: Candrasari, Erizka Banuwati, Novamizanti, Ledya, Aulia, Suci
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Classification
Computer simulation
Datasets
Digital imaging
Discrete Wavelet Transform
Feature extraction
Gesture recognition
Image classification
Markov chains
Object recognition
Probability distribution
Systems design
Wavelet transforms
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Summary:[...]goal of this research was to create a hand gesture recognition system that had good performances using discrete wavelet transform and hidden Markov models. The purpose of this research was to be able to design a hand gesture recognition system based on digital images using DWT as feature extraction and HMM as a classification algorithm. The problems contained in this research including how to make the system design and simulation of hand gesture recognition for dataset using the DWT method and HMM classification, how does the effect in changing the value of input parameters on system performances using DWT feature extraction methods and HMM classification, how is the performances, and how the accuracy and timing of computing system compared to. [...]calculate the average value of each pixel column set in Table 3 by inputing the previous calculation result illustrated in Table 4.
ISSN:1693-6930
2302-9293
DOI:10.12928/telkomnika.v18i5.13725