Identifikasi gerak lengan berdasarkan penginderaan cahaya = Arm movement identification based on light sensing

Nicky, Reza (2009) Identifikasi gerak lengan berdasarkan penginderaan cahaya = Arm movement identification based on light sensing. Bachelor thesis, Universitas Pelita Harapan.

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Abstract

A robot that is able to mimic a specific human movement may be used in various work fields, ranging from work that needs brute power, to work that requires accuracy. Mimicking complex human movement, it is best to use imaging system as its input. The process of identifying human body position may be achieved by markerless methods, but by positioning a marker will help tremendously to pinpoint the exact location of a specific area on human body correctly. The system in this research is built centered on Visual Basic .NET software, as its interface system between user, device, and applications. Although MATLAB 7.0 application is also used, there is no intervention by users needed, as all procedures are controlled by running Visual Basic application. The application designed has met the goals to capture, process, and display steps of arm movement as close as possible to real-time changes. Further studies may include building the system in 3D environment, connecting this system to an actual robot arm, or various improvements on hardware and software specifications.
Item Type: Thesis (Bachelor)
Creators:
Creators
NIM
Email
ORCID
Nicky, Reza
NIM08320050006
UNSPECIFIED
UNSPECIFIED
Contributors:
Contribution
Contributors
NIDN/NIDK
Email
Thesis advisor
Mitra, Aditya Rama
NIDN0305096901
aditya.mitra@uph.edu
Thesis advisor
Lukas, Samuel
NIDN0331076001
samuel.lukas@uph.edu
Additional Information: SK 83-05 NIC i ; T 67943
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7885-7895 Computer engineering. Computer hardware
Divisions: University Subject > Historic > Faculty/School > Computer System Engineering
Historic > Faculty/School > Computer System Engineering
Depositing User: Christine Natalia Nababan
Date Deposited: 27 Apr 2021 08:37
Last Modified: 23 Sep 2024 06:13
URI: http://repository.uph.edu/id/eprint/29621

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