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Evaluating state-of-the-art classifiers for human activity recognition using smartphones

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Event
  • Session
  • Monday, 25 March 2019
  • 12:25 - 12:25
  • Duration: 14 mins
  • Publication date: 01 Apr 2019
  • Location: Watson Watt, Savoy Place
  • Part of event TechAAL 2019

About the session

Active and assisted living (AAL) makes “use of information and communication technologies (ICT) in a person's daily living and working environment to enable them to stay active longer, remain socially connected and live independently into old age.” (source: AAL Programme website).

Research efforts in AAL have increased rapidly to support independent living, as the social and economic impact of aging population has become a more concrete problem in our European society.

The impact of the European demographic change is widely recognised making critical the need to address the problem both from a societal and economic standpoint. In the light of this, research into aging, age-related conditions and into supporting an aging population has become a priority for many governments around the world.

AAL aims to provide assistive solutions for people affected by a wide range of physical and cognitive challenges in particularly, elderly persons. AAL applies the paradigm of the Internet of Things where sensing technology is embedded in objects, or in the environment or worn on the person to promote health and enhance wellbeing, or to help maintain an independent life at home.
Captured sensor data are analysed to detect activity and infer knowledge about the physical or cognitive status of a monitored person; recognising and classifying patterns, detecting trends, and unusual or anomalous behaviour.

AAL systems should be intelligent, able to learn and adapt to a wide variety of needs and requirements in real-time, synchronised with the specific need and designed and implemented to pre-empt, whenever possible, accidents and incidents that might occur in an assisted environment.
Nowadays, this is a very relevant area for research and innovation. Therefore, this event will serve as an important channel to present the latest advances in this area.

Keywords:
  • AAL
  • activity presentation
  • android application
  • classification
  • data gathering
  • human activity recognition
  • smart home
  • smartphones

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    Athanasios Lentzas

    Aristotle University of Thessaloniki

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