HAND GESTURE RECOGNITION SEBAGAI ALAT INTERAKSI DAN OPERASI KOMPUTER MENGGUNAKAN ALGORITMA CONVEX-HULL

Mustofa, Andreas, Prasetyo, Angga and Masykur, Fauzan (2022) HAND GESTURE RECOGNITION SEBAGAI ALAT INTERAKSI DAN OPERASI KOMPUTER MENGGUNAKAN ALGORITMA CONVEX-HULL. Skripsi (S1) thesis, Universitas Muhammadiyah Ponorogo.

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Abstract

In today's era, technological developments are very rapid, including developments in computer peripheral devices, one of which is the mouse. However, the mouse still has several weaknesses, namely the need for a fairly broad media to use it, whereas now on computers, there are applications such as interactive games and Augmented Reality (AR) that require more flexible interaction, the game industry is getting bigger day by day, as well as many variations. As games and playing patterns are increasingly widespread, hand gesture recognition is one of the computer operating solutions that needs to be developed to meet these game patterns, so it is necessary to develop an easier and more intuitive computer operating method. So the interaction between humans and computing devices can be achieved if hand gesture recognition can be used for communication between humans and computing devices. Hand gesture recognition will be more useful considering that in the current era with the Covid-19 pandemic, we also have to keep ourselves away from the chain of virus transmission that can spread more easily when we use hardware in public facilities in turn. The application of artificial intelligence technology as well as machine learning in this study found that after the recognition test the light intensity level of 202,3 lm/m2 was the most optimal condition for this gesture recognition application to run effectively and efficiently. Keywords: Hand Gesture, Recognition, Machine Learning, Covid-19, Convex-hull

Item Type:	Thesis (Skripsi (S1))
Uncontrolled Keywords:	Hand Gesture, Recognition, Machine Learning, Covid-19, Convex-hull
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Engineering
Depositing User:	ft . userft
Date Deposited:	30 Aug 2022 05:19
Last Modified:	30 Aug 2022 05:19
URI:	http://eprints.umpo.ac.id/id/eprint/9868

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