Now showing items 1-4 of 4

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      A Comparative Analysis of Human Behavior Prediction Approaches in Intelligent Environments 

      Almeida, Aitor; Bermejo Fernández, Unai; Bilbao Jayo, Aritz; Azkune Galparsoro, Gorka; Aguilera, Unai; Emaldi, Mikel; Dornaika, Fadi; Arganda Carreras, Ignacio (MDPI, 2022-01-18)
      Behavior modeling has multiple applications in the intelligent environment domain. It has been used in different tasks, such as the stratification of different pathologies, prediction of the user actions and activities, ...
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      Egocentric Vision-based Action Recognition: A survey 

      Núñez Marcos, Adrián; Azkune Galparsoro, Gorka; Arganda Carreras, Ignacio (Elsevier, 2022-02)
      [EN] The egocentric action recognition EAR field has recently increased its popularity due to the affordable and lightweight wearable cameras available nowadays such as GoPro and similars. Therefore, the amount of egocentric ...
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      Embedding-based real-time change point detection with application to activity segmentation in smart home time series data 

      Bermejo Fernández, Unai; Almeida, Aitor; Bilbao Jayo, Aritz; Azkune Galparsoro, Gorka (Elsevier, 2021-12-15)
      [EN]Human activity recognition systems are essential to enable many assistive applications. Those systems can be sensor-based or vision-based. When sensor-based systems are deployed in real environments, they must segment ...
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      Image captioning for effective use of language models in knowledge-based visual question answering 

      Salaberria Saizar, Ander; Azkune Galparsoro, Gorka; López de Lacalle Lecuona, Oier ORCID; Soroa Echave, Aitor ORCID; Agirre Bengoa, Eneko ORCID (Elsevier, 2023-02)
      Integrating outside knowledge for reasoning in visio-linguistic tasks such as visual question answering (VQA) is an open problem. Given that pretrained language models have been shown to include world knowledge, we propose ...