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Activity Recognition in Assistive Environments: The STHENOS Approach

  • Ilias Maglogiannis
  • Kostas Delibasis
  • Dimitrios Kosmopoulos
  • Theodosios Goudas
  • Charalampos Doukas
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8515)

Abstract

The paper presents the research conducted within the framework of the STHENOS project (www.sthenos.gr), which aims at the development of methodologies and systems for assistive environments. The proposed systems and applications are capable of recognizing the human activities and assist disabled or elder persons in performing every day activities and detect abnormal situations such as a fall or long periods of inactivity. The paper includes the technical details of the proposed activity recognition methodology using fisheye video cameras and wearable sensors. Initial results have proven the feasibility of the adopted approaches and the efficiency of the implemented system.

Keywords

Assistive Environments Pervasive Healthcare Activity Recognition Fisheye video Wearable sensors 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ilias Maglogiannis
    • 1
  • Kostas Delibasis
    • 2
  • Dimitrios Kosmopoulos
    • 3
  • Theodosios Goudas
    • 1
  • Charalampos Doukas
    • 4
  1. 1.Dept. of Digital SystemsUniversity of PiraeusGreece
  2. 2.Dept. of Computer Science and Biomedical InformaticsGreece
  3. 3.Dept. of Informatics EngineeringTEI of CreteGreece
  4. 4.Dept. of Information and Communication Systems EngineeringGreece

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