Welcome to the InfoSci Platform
A Face Based Real Time Communication for Physically and Speech Disabled People

A Face Based Real Time Communication for Physically and Speech Disabled People

Ong Chin Ann, Marlene Valerie Lu, Lau Bee Theng
Copyright: © 2014 |Pages: 27
ISBN13: 9781466644229|ISBN10: 1466644222|EISBN13: 9781466644236
DOI: 10.4018/978-1-4666-4422-9.ch075
Cite Chapter Cite Chapter

MLA

Ann, Ong Chin, et al. "A Face Based Real Time Communication for Physically and Speech Disabled People." Assistive Technologies: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2014, pp. 1434-1460. https://doi.org/10.4018/978-1-4666-4422-9.ch075

APA

Ann, O. C., Lu, M. V., & Theng, L. B. (2014). A Face Based Real Time Communication for Physically and Speech Disabled People. In I. Management Association (Ed.), Assistive Technologies: Concepts, Methodologies, Tools, and Applications (pp. 1434-1460). IGI Global. https://doi.org/10.4018/978-1-4666-4422-9.ch075

Chicago

Ann, Ong Chin, Marlene Valerie Lu, and Lau Bee Theng. "A Face Based Real Time Communication for Physically and Speech Disabled People." In Assistive Technologies: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1434-1460. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-4422-9.ch075

Export Reference

Mendeley
Favorite

Abstract

The main purpose of this research is to enhance the communication of the disabled community. The authors of this chapter propose an enhanced interpersonal-human interaction for people with special needs, especially those with physical and communication disabilities. The proposed model comprises of automated real time behaviour monitoring, designed and implemented with the ubiquitous and affordable concept in mind to suit the underprivileged. In this chapter, the authors present the prototype which encapsulates an automated facial expression recognition system for monitoring the disabled, equipped with a feature to send Short Messaging System (SMS) for notification purposes. The authors adapted the Viola-Jones face detection algorithm at the face detection stage and implemented template matching technique for the expression classification and recognition stage. They tested their model with a few users and achieved satisfactory results. The enhanced real time behaviour monitoring system is an assistive tool to improve the quality of life for the disabled by assisting them anytime and anywhere when needed. They can do their own tasks more independently without constantly being monitored physically or accompanied by their care takers, teachers, or even parents. The rest of this chapter is organized as follows. The background of the facial expression recognition system is reviewed in Section 2. Section 3 is the description and explanations of the conceptual model of facial expression recognition. Evaluation of the proposed system is in Section 4. Results and findings on the testing are laid out in Section 5, and the final section concludes the chapter.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.