Activity Recognition in Intelligent Assistive Environments Through Video Analysis with Body-Angles Algorithm

A First Step for Future Behaviour Recognition
  • Carlos Gutiérrez López de la Franca
  • Ramón Hervás
  • José Bravo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9454)


Activity Recognition in a scientific setting is a field that is extremely popular, in which numerous and diverse proposals exist that tackle the creation of systems capable of recognising activities through different types of sensors. Given the relative maturity of Activity Recognition in comparison to Behaviour Recognition, most of the existing proposals in this last field are based in Activity Recognition but with the difference of analysing the activities throughout time. Therefore, the objective of this article is to describe the first phases of development of a larger scale research (doctoral thesis) with which we will intend to analyse the Behaviour of people with focus not only based on Activity Recognition but also with a strong component centered around smart environments with context awareness and supported by the foundations of The Psychology of behaviour.


Behaviour Recognition Activity Recognition Kinect Body-Angles Algorithm Psychology Serious games Cognitive rehabilitation Multisensing environments Natural interaction Context awareness 



This work was conducted in the context of UBIHEALTH project under International Research Staff Exchange Schema (MC-IRSES 316337) and the coordinated project grant TIN2013-47152-C3-1-R (FRASE), funded by the Spanish Ministerio de Ciencia e Innovación.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Carlos Gutiérrez López de la Franca
    • 1
  • Ramón Hervás
    • 1
  • José Bravo
    • 1
  1. 1.Laboratorio MamI, Escuela Superior de Informática de Ciudad RealUniversidad de Castilla-La ManchaCiudad RealSpain

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