Camera Based Gesture Commands for Smart Home Applications

FYP 2 SEM 2 2019/2020

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Main Author: Muhammad Firdaus bin Mohd Fauzi
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Language:English
Published: 2023
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spelling my.uniten.dspace-216062023-05-04T17:18:01Z Camera Based Gesture Commands for Smart Home Applications Muhammad Firdaus bin Mohd Fauzi Tensorflow deep learning MobileNet Transfer Learning FYP 2 SEM 2 2019/2020 This thesis focuses on the training process of developing a deep learning model that recognizes five different hand gestures for controlling smart home appliances. The deep learning model is implemented using tensorflow framework and utilizing transfer learning technique. The pre-trained model used for transfer learning is MobileNet. The accuracy of the deep learning model is 94% with validation accuracy of 87%. 2023-05-03T17:24:24Z 2023-05-03T17:24:24Z 2020-02 https://irepository.uniten.edu.my/handle/123456789/21606 en application/pdf
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
topic Tensorflow
deep learning
MobileNet
Transfer Learning
spellingShingle Tensorflow
deep learning
MobileNet
Transfer Learning
Muhammad Firdaus bin Mohd Fauzi
Camera Based Gesture Commands for Smart Home Applications
description FYP 2 SEM 2 2019/2020
format
author Muhammad Firdaus bin Mohd Fauzi
author_facet Muhammad Firdaus bin Mohd Fauzi
author_sort Muhammad Firdaus bin Mohd Fauzi
title Camera Based Gesture Commands for Smart Home Applications
title_short Camera Based Gesture Commands for Smart Home Applications
title_full Camera Based Gesture Commands for Smart Home Applications
title_fullStr Camera Based Gesture Commands for Smart Home Applications
title_full_unstemmed Camera Based Gesture Commands for Smart Home Applications
title_sort camera based gesture commands for smart home applications
publishDate 2023
_version_ 1806425697849180160
score 13.23648