Welcome To UTPedia

We would like to introduce you, the new knowledge repository product called UTPedia. The UTP Electronic and Digital Intellectual Asset. It stores digitized version of thesis, dissertation, final year project reports and past year examination questions.

Browse content of UTPedia using Year, Subject, Department and Author and Search for required document using Searching facilities included in UTPedia. UTPedia with full text are accessible for all registered users, whereas only the physical information and metadata can be retrieved by public users. UTPedia collaborating and connecting peoples with university’s intellectual works from anywhere.

Disclaimer - Universiti Teknologi PETRONAS shall not be liable for any loss or damage caused by the usage of any information obtained from this web site.Best viewed using Mozilla Firefox 3 or IE 7 with resolution 1024 x 768.

Hand Commanded Machine Interface (Data Glove)

Lotfy, Amr Magdy (2011) Hand Commanded Machine Interface (Data Glove). Universiti Teknologi Petronas. (Unpublished)

[img] PDF
Download (3421Kb)


Human-Robot interface is a methodology that is heavily utilized in industrial and commercial applications such as to fulfill user needs. Different types of robotic frameworks are designed to fulfill those needs. The aim of the work presented in this paper is to simulate a robotic movement that emulates the movement of a human hand (i.e. arm and fingers section). The robotic hand comprises of three fingers. The main objective of this robotic hand simulation is to design a link between the pre designed data glove (FYPI) to a robotic hand and imitates the movement of a human hand. This project presents a new simulation methodology for the human-machine interface of robotic frameworks and control systems. The interface uses dynamic hand gestures, relative arm position estimation in order to have control of the Humanoid Robot used (NAO) and provides a control and visualization interface between a human and NAO. All the Important aspects to develop such an interface; image processing techniques, object tracking, colour tracking, motion detection and software filters; contrast, brightness and saturation have been explored. Seeking high ratio of faster and correct tracking have been achieved from the experiments. Using "Python" and some other programming IDEs (integrated developing environments), Software simulation and hardware implementation to show the behavior of the Data Glove will be carried.

Item Type: Final Year Project
Academic Subject : Academic Department - Electrical And Electronics - Power Electronics - Electrical Machines - Type of Electrical Machines - Synchronous Machine
Subject: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Engineering > Electrical and Electronic
Depositing User: Users 2053 not found.
Date Deposited: 30 Sep 2013 16:55
Last Modified: 25 Jan 2017 09:41
URI: http://utpedia.utp.edu.my/id/eprint/7445

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...