Hand-raising gesture detection with Lienhart-Maydt method in videoconference and distance learning (2013)
- Authors:
- Autor USP: PONTI JUNIOR, MOACIR PEREIRA - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-642-41827-3_64
- Subjects: COMPUTAÇÃO GRÁFICA; PROCESSAMENTO DE IMAGENS; INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: Springer-Verlag
- Publisher place: Berlin
- Date published: 2013
- Source:
- Título: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 8259, p. 512-519, 2013
- Conference titles: Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - CIARP
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: bronze
-
ABNT
NAZARÉ, Tiago Santana de e PONTI, Moacir Antonelli. Hand-raising gesture detection with Lienhart-Maydt method in videoconference and distance learning. Lecture Notes in Computer Science. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-41827-3_64. Acesso em: 10 out. 2024. , 2013 -
APA
Nazaré, T. S. de, & Ponti, M. A. (2013). Hand-raising gesture detection with Lienhart-Maydt method in videoconference and distance learning. Lecture Notes in Computer Science. Berlin: Springer-Verlag. doi:10.1007/978-3-642-41827-3_64 -
NLM
Nazaré TS de, Ponti MA. Hand-raising gesture detection with Lienhart-Maydt method in videoconference and distance learning [Internet]. Lecture Notes in Computer Science. 2013 ; 8259 512-519.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/978-3-642-41827-3_64 -
Vancouver
Nazaré TS de, Ponti MA. Hand-raising gesture detection with Lienhart-Maydt method in videoconference and distance learning [Internet]. Lecture Notes in Computer Science. 2013 ; 8259 512-519.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/978-3-642-41827-3_64 - Better than counting seconds: identifying fallers among healthy elderly using fusion of accelerometer features and dual-task timed up and go
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Informações sobre o DOI: 10.1007/978-3-642-41827-3_64 (Fonte: oaDOI API)
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