Camera Based Gesture Commands for Smart Home Applications
FYP 2 SEM 2 2019/2020
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2023
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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 |
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Tensorflow deep learning MobileNet Transfer Learning |
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Tensorflow deep learning MobileNet Transfer Learning Muhammad Firdaus bin Mohd Fauzi Camera Based Gesture Commands for Smart Home Applications |
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FYP 2 SEM 2 2019/2020 |
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|
author |
Muhammad Firdaus bin Mohd Fauzi |
author_facet |
Muhammad Firdaus bin Mohd Fauzi |
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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 |
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Camera Based Gesture Commands for Smart Home Applications |
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Camera Based Gesture Commands for Smart Home Applications |
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camera based gesture commands for smart home applications |
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2023 |
_version_ |
1806425697849180160 |
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13.23648 |