Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/15263
Título: | Vision-based hand segmentation techniques for human-robot interaction for real-time applications |
Autor(es): | Trigueiros, Paulo Ribeiro, A. Fernando Lopes, Gil |
Palavras-chave: | Human-robot interaction Hand segmentation Hand control Kalman filter Kinect |
Data: | 2012 |
Editora: | CRC Press |
Resumo(s): | One of the most important tasks in hand recognition applications for human-robot interaction is hand segmen-tation. This work presents a method that uses a Microsoft Kinect camera, for hand localization and segmenta-tion. One important aspect for robot control besides hand localization is hand orientation, which is used in this work to control robot heading direction (left or right) and linear velocity. The system first calculates hand po-sition, and then a kalman filter is used to estimate displacement and linear velocity in a smoother way. Ex-perimental results show that the system is easy to use, and can be applied on several different human-computer interface applications. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/15263 |
ISBN: | 9780415683951 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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CI34.pdf | Documento Principal | 1,3 MB | Adobe PDF | Ver/Abrir |