Ezagutzan oinarritutako giza jardueren eredu dinamiko eta pertsonalizatuak ikasten

  1. Gorka Azkune
  2. Aitor Almeida
  3. Diego López-de-Ipiña
  4. Liming Chen
Journal:
Ekaia: Euskal Herriko Unibertsitateko zientzi eta teknologi aldizkaria

ISSN: 0214-9001

Year of publication: 2016

Issue Title: 2013-2014 Euskal tesien 10 pasarte

Issue: 1

Pages: 7-17

Type: Article

DOI: 10.1387/EKAIA.14662 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Ekaia: Euskal Herriko Unibertsitateko zientzi eta teknologi aldizkaria

Abstract

Being able to recognise human activities by means of sensor and computational devices can be a key competence in order to achieve human centred technologies. For that purpose, it is mandatory to build computational models of the activities which have to be recognised. There are two major approaches for activity modelling: the data-driven and the knowledge-driven approaches. Both of them have advantages and drawbacks. The objective of this work is to combine both modelling approaches with the aim of building dynamic and personalised activity models, using generic knowledge-based models. This would allow implementing modelling processes which can adapt themselves to the evolution of specific people.