On Pose Estimation for Human-Robot Symbiosis

This paper presents a vision based pose estimation system using knowledge based approach for humanrobot symbiosis. The system is based on visual information of the face by connected component analysis of the skin color segmentation of images in HSV color model and is commenced with the face recognit...

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Main Authors: Chang Hong Liu, Al-Amin Bhuiyan, Haruki Ueno
Format: Article
Language:English
Published: SAGE Publishing 2008-11-01
Series:International Journal of Advanced Robotic Systems
Subjects:
Online Access:http://www.intechopen.com/articles/show/title/on_pose_estimation_for_human-robot_symbiosis
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author Chang Hong Liu
Al-Amin Bhuiyan
Haruki Ueno
author_facet Chang Hong Liu
Al-Amin Bhuiyan
Haruki Ueno
author_sort Chang Hong Liu
collection DOAJ
description This paper presents a vision based pose estimation system using knowledge based approach for humanrobot symbiosis. The system is based on visual information of the face by connected component analysis of the skin color segmentation of images in HSV color model and is commenced with the face recognition and pose classification scheme using subspace PCA based pattern-matching strategies. With the knowledge of the known user's profile, face poses are then classified by multilayer perceptron. Based on the frame-based knowledge representation approach, face poses are being interpreted using the Software Platform for Agent and Knowledge (SPAK) management. On face pose recognition, robot is then instructed to perform some specific tasks by issuing pose commands. Experimental results demonstrate that the subspace method is better than that of the standard PCA method for face pose classification. The system has been demonstrated with the implementation of the algorithm to interact with an entertainment robot named, AIBO for human-robot symbiotic relationship.
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spelling doaj.art-6e04c580852b42b8827f883427920ef72022-12-21T20:41:03ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88061729-88142008-11-0151On Pose Estimation for Human-Robot SymbiosisChang Hong LiuAl-Amin BhuiyanHaruki UenoThis paper presents a vision based pose estimation system using knowledge based approach for humanrobot symbiosis. The system is based on visual information of the face by connected component analysis of the skin color segmentation of images in HSV color model and is commenced with the face recognition and pose classification scheme using subspace PCA based pattern-matching strategies. With the knowledge of the known user's profile, face poses are then classified by multilayer perceptron. Based on the frame-based knowledge representation approach, face poses are being interpreted using the Software Platform for Agent and Knowledge (SPAK) management. On face pose recognition, robot is then instructed to perform some specific tasks by issuing pose commands. Experimental results demonstrate that the subspace method is better than that of the standard PCA method for face pose classification. The system has been demonstrated with the implementation of the algorithm to interact with an entertainment robot named, AIBO for human-robot symbiotic relationship.http://www.intechopen.com/articles/show/title/on_pose_estimation_for_human-robot_symbiosisAIBOFace recognitionHuman-robot symbiosisPCAHSV color model
spellingShingle Chang Hong Liu
Al-Amin Bhuiyan
Haruki Ueno
On Pose Estimation for Human-Robot Symbiosis
International Journal of Advanced Robotic Systems
AIBO
Face recognition
Human-robot symbiosis
PCA
HSV color model
title On Pose Estimation for Human-Robot Symbiosis
title_full On Pose Estimation for Human-Robot Symbiosis
title_fullStr On Pose Estimation for Human-Robot Symbiosis
title_full_unstemmed On Pose Estimation for Human-Robot Symbiosis
title_short On Pose Estimation for Human-Robot Symbiosis
title_sort on pose estimation for human robot symbiosis
topic AIBO
Face recognition
Human-robot symbiosis
PCA
HSV color model
url http://www.intechopen.com/articles/show/title/on_pose_estimation_for_human-robot_symbiosis
work_keys_str_mv AT changhongliu onposeestimationforhumanrobotsymbiosis
AT alaminbhuiyan onposeestimationforhumanrobotsymbiosis
AT harukiueno onposeestimationforhumanrobotsymbiosis