Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/39775
Título: | Automatic eye blink detection using consumer web cameras |
Autor(es): | Remeseiro, Beatriz Fernández, Alba Lira, Madalena |
Palavras-chave: | Image processing Feature extraction Pattern recognition Classification Eye blink Clinical application Classification Eye blink |
Data: | 2015 |
Editora: | Springer Verlag |
Revista: | Lecture Notes in Computer Science |
Citação: | Remeseiro, B., Fernández, A., & Lira, M. (2015) Automatic eye blink detection using consumer web cameras. Vol. 9095. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 103-114). |
Resumo(s): | This research aims to advance blinking detection in the context of work activity. Rather than patients having to attend a clinic, blinking videos can be acquired in a work environment, and further automatically analyzed. Therefore, this paper presents a methodology to perform the automatic detection of eye blink using consumer videos acquired with low-cost web cameras. This methodology includes the detection of the face and eyes of the recorded person, and then it analyzes the low-level features of the eye region to create a quantitative vector. Finally, this vector is classified into one of the two categories considered —open and closed eyes— by using machine learning algorithms. The effectiveness of the proposed methodology was demonstrated since it provides unbiased results with classification errors under 5% |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/39775 |
ISBN: | 978-3-319-19221-5 |
DOI: | 10.1007/978-3-319-19222-2_9 |
ISSN: | 0302-9743 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: | CDF - OCV - Artigos/Papers (with refereeing) |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
IWANN.pdf Acesso restrito! | 721,46 kB | Adobe PDF | Ver/Abrir |