東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Human-robot interaction for cooperat...

Tella, Aditya.

Linked to FindBook

Google Book

Amazon

博客來

Human-robot interaction for cooperative task handling.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Human-robot interaction for cooperative task handling./
Author:	Tella, Aditya.
Description:	84 p.
Notes:	Source: Masters Abstracts International, Volume: 48-03, page: 1755.
Contained By:	Masters Abstracts International48-03.
Subject:	Engineering, Computer. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1473392
ISBN:	9781109558654

Human-robot interaction for cooperative task handling.
Tella, Aditya.

Human-robot interaction for cooperative task handling. - 84 p.

Source: Masters Abstracts International, Volume: 48-03, page: 1755.

Thesis (M.S.)--Tennessee State University, 2009.

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.

ISBN: 9781109558654Subjects--Topical Terms:

1669061
Engineering, Computer.

Human-robot interaction for cooperative task handling.
LDR:01862nam 2200289 4500 001 1391659
005 20110119095008.5
008 130515s2009 ||||||||||||||||| ||eng d
020 $a 9781109558654
035 $a (UMI)AAI1473392
035 $a AAI1473392
040 $a UMI $c UMI
100 1 $a Tella, Aditya. $3 1670104
245 1 0 $a Human-robot interaction for cooperative task handling.
300 $a 84 p.
500 $a Source: Masters Abstracts International, Volume: 48-03, page: 1755.
500 $a Adviser: Ali Sekmen.
502 $a Thesis (M.S.)--Tennessee State University, 2009.
520 $a 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.
590 $a School code: 0840.
650 4 $a Engineering, Computer. $3 1669061
690 $a 0464
710 2 $a Tennessee State University. $b Electrical & Computer Engineering. $3 1036279
773 0 $t Masters Abstracts International $g 48-03.
790 1 0 $a Sekmen, Ali, $e advisor
790 1 0 $a Bodruzzaman, Mohammad $e committee member
790 1 0 $a Rogers, Tamara $e committee member
790 $a 0840
791 $a M.S.
792 $a 2009
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1473392