Publication:
Camera Based Gesture Commands for Smart Home Applications

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dc.contributor.authorMuhammad Firdaus bin Mohd Fauzien_US
dc.date.accessioned2023-05-03T17:24:24Z
dc.date.available2023-05-03T17:24:24Z
dc.date.issued2020-02
dc.descriptionFYP 2 SEM 2 2019/2020en_US
dc.description.abstractThis 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%.en_US
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/21606
dc.language.isoenen_US
dc.subjectTensorflowen_US
dc.subjectdeep learningen_US
dc.subjectMobileNeten_US
dc.subjectTransfer Learningen_US
dc.titleCamera Based Gesture Commands for Smart Home Applicationsen_US
dspace.entity.typePublication
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