Título:
|
Exploring EEG for object detection and retrieval
|
Autor/a:
|
Mohedano Robles, Eva; Salvador Aguilera, Amaia; Porta, Sergi; Giró Nieto, Xavier; Healy, Graham; McGuinness, Kevin; O'Connor, Noel; Smeaton, Alan F.
|
Otros autores:
|
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
Abstract:
|
This paper explores the potential for using Brain Computer Interfaces (BCI) as a relevance feedback mechanism in content-based image retrieval. Several experiments are performed using a rapid serial visual presentation (RSVP) of images at different rates (5Hz and 10Hz) on 8 users with different degrees of familiarization with BCI and the dataset. We compare the feedback from the BCI and mouse-based interfaces in a subset of TRECVid images, finding that, when users have limited time to annotate the images, both interfaces are comparable in performance. Comparing our best users in a retrieval task, we found that EEG-based relevance feedback can outperform mouse-based feedback. |
Abstract:
|
Peer Reviewed |
Materia(s):
|
-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació -Brain-computer interfaces -Electroencephalography -Brain-computer interfaces -Electroencephalography -Rapid serial visual presentation -Classification -Instance retrieval -Interfícies cervell-ordinador -Electroencefalografia |
Derechos:
|
|
Tipo de documento:
|
Artículo - Borrador Objeto de conferencia |
Editor:
|
Association for Computing Machinery (ACM)
|
Compartir:
|
|