Modeling of human upper body for sign language recognition

Sign Language Recognition systems require not only the hand motion trajectory to be classified but also facial features, Human Upper Body (HUB) and hand position with respect to other HUB parts. Head, face, forehead, shoulders and chest are very crucial parts that can carry a lot of positioning...

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Main Authors:	Bilal, Sara Mohammed Osman Saleh, Akmeliawati, Rini, Shafie, Amir Akramin, Salami, Momoh Jimoh Eyiomika
Format:	Conference or Workshop Item
Language:	English
Published:	2011
Subjects:	QA Mathematics QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/32510/ http://irep.iium.edu.my/32510/ http://irep.iium.edu.my/32510/1/modeling_human_upper_body.pdf

id	iium-32510
recordtype	eprints
spelling	iium-325102015-01-21T10:29:47Z http://irep.iium.edu.my/32510/ Modeling of human upper body for sign language recognition Bilal, Sara Mohammed Osman Saleh Akmeliawati, Rini Shafie, Amir Akramin Salami, Momoh Jimoh Eyiomika QA Mathematics QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering Sign Language Recognition systems require not only the hand motion trajectory to be classified but also facial features, Human Upper Body (HUB) and hand position with respect to other HUB parts. Head, face, forehead, shoulders and chest are very crucial parts that can carry a lot of positioning information of hand gestures in gesture classification. In this paper as the main contribution, a fast and robust search algorithm for HUB parts based on head size has been introduced for real time implementations. Scaling the extracted parts during body orientation was attained using partial estimation of face size. Tracking the extracted parts for front and side view was achieved using CAMSHIFT [24]. The outcome of the system makes it applicable for real-time applications such as Sign Languages Recognition (SLR) systems. Keywords: Human upper body detection 2011-12 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/32510/1/modeling_human_upper_body.pdf Bilal, Sara Mohammed Osman Saleh and Akmeliawati, Rini and Shafie, Amir Akramin and Salami, Momoh Jimoh Eyiomika (2011) Modeling of human upper body for sign language recognition. In: Proceedings of the 5th International Conference on Automation, Robotics and Applications, 6-8 Dec, 2011, Wellington, New Zealand. http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6138561
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA Mathematics QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	QA Mathematics QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering Bilal, Sara Mohammed Osman Saleh Akmeliawati, Rini Shafie, Amir Akramin Salami, Momoh Jimoh Eyiomika Modeling of human upper body for sign language recognition
description	Sign Language Recognition systems require not only the hand motion trajectory to be classified but also facial features, Human Upper Body (HUB) and hand position with respect to other HUB parts. Head, face, forehead, shoulders and chest are very crucial parts that can carry a lot of positioning information of hand gestures in gesture classification. In this paper as the main contribution, a fast and robust search algorithm for HUB parts based on head size has been introduced for real time implementations. Scaling the extracted parts during body orientation was attained using partial estimation of face size. Tracking the extracted parts for front and side view was achieved using CAMSHIFT [24]. The outcome of the system makes it applicable for real-time applications such as Sign Languages Recognition (SLR) systems. Keywords: Human upper body detection
format	Conference or Workshop Item
author	Bilal, Sara Mohammed Osman Saleh Akmeliawati, Rini Shafie, Amir Akramin Salami, Momoh Jimoh Eyiomika
author_facet	Bilal, Sara Mohammed Osman Saleh Akmeliawati, Rini Shafie, Amir Akramin Salami, Momoh Jimoh Eyiomika
author_sort	Bilal, Sara Mohammed Osman Saleh
title	Modeling of human upper body for sign language recognition
title_short	Modeling of human upper body for sign language recognition
title_full	Modeling of human upper body for sign language recognition
title_fullStr	Modeling of human upper body for sign language recognition
title_full_unstemmed	Modeling of human upper body for sign language recognition
title_sort	modeling of human upper body for sign language recognition
publishDate	2011
url	http://irep.iium.edu.my/32510/ http://irep.iium.edu.my/32510/ http://irep.iium.edu.my/32510/1/modeling_human_upper_body.pdf
first_indexed	2023-09-18T20:46:55Z
last_indexed	2023-09-18T20:46:55Z
_version_	1777409736360067072

Modeling of human upper body for sign language recognition

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