خط مشی دسترسیدرباره ماپشتیبانی آنلاین
ثبت نامثبت نام
راهنماراهنما
فارسی
ورودورود
صفحه اصلیصفحه اصلی
جستجوی مدارک
تمام متن
منابع دیجیتالی
رکورد قبلیرکورد بعدی
Document Type:Latin Dissertation
Language of Document:English
Record Number:55120
Doc. No:TL25074
Call number:‭1473392‬
Main Entry:Aditya Tella
Title & Author:Human-robot interaction for cooperative task handlingAditya Tella
College:Tennessee State University
Date:2009
Degree:M.S.
student score:2009
Page No:84
Abstract:Humans and robots are expected to interact in many settings and handle various tasks (e.g. construction of an outpost on the moon) together. As the robots possess more human-like communication capabilities, human-robot interaction (HRI) becomes more natural. This thesis developed a static gesture recognition system that was integrated with existing speech recognition and navigation capabilities of a mobile robot for handling some tasks such as fetching an object. The gesture recognition system first detects the hands using skin color detection and then segments them. A set of features extracted using the Hu-invariant moments. The features are then fed into two different classifiers, i.e, Support Vector Machine (SVM) and Neural Networks (NN). The system has been integrated with speech recognition and navigation systems of a Pioneer 3-AT mobile robot and successfully tested. The performance comparison of SVM and NN is also provided.
Subject:Applied sciences; GRS; HRI; Human-robot interaction; SRS; Computer Engineering; 0464:Computer Engineering
Added Entry:A. Sekmen
Added Entry:Tennessee State University