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Computer Vision for Learning to Interact Socially with Humans

Computer Vision for Learning to Interact Socially with Humans

Renato Ramos da Silva, Roseli Aparecida Francelin Romero
Copyright: © 2013 |Pages: 26
ISBN13: 9781466639942|ISBN10: 1466639946|EISBN13: 9781466639959
DOI: 10.4018/978-1-4666-3994-2.ch059
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MLA

Ramos da Silva, Renato, and Roseli Aparecida Francelin Romero. "Computer Vision for Learning to Interact Socially with Humans." Image Processing: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2013, pp. 1162-1187. https://doi.org/10.4018/978-1-4666-3994-2.ch059

APA

Ramos da Silva, R. & Romero, R. A. (2013). Computer Vision for Learning to Interact Socially with Humans. In I. Management Association (Ed.), Image Processing: Concepts, Methodologies, Tools, and Applications (pp. 1162-1187). IGI Global. https://doi.org/10.4018/978-1-4666-3994-2.ch059

Chicago

Ramos da Silva, Renato, and Roseli Aparecida Francelin Romero. "Computer Vision for Learning to Interact Socially with Humans." In Image Processing: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1162-1187. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-3994-2.ch059

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Abstract

Computer vision is essential to develop a social robotic system capable to interact with humans. It is responsible to extract and represent the information around the robot. Furthermore, a learning mechanism, to select correctly an action to be executed in the environment, pro-active mechanism, to engage in an interaction, and voice mechanism, are indispensable to develop a social robot. All these mechanisms together provide a robot emulate some human behavior, like shared attention. Then, this chapter presents a robotic architecture that is composed with such mechanisms to make possible interactions between a robotic head with a caregiver, through of the shared attention learning with identification of some objects.

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