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Multi-modal sensing for human activity recognition

Bruno, Barbara (author)
Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Genova, Italy
Grosinger, Jasmin, 1984- (author)
Örebro universitet,Institutionen för naturvetenskap och teknik,AASS
Mastrogiovanni, Fulvio (author)
Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Genova, Italy
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Pecora, Federico, 1977- (author)
Örebro universitet,Institutionen för naturvetenskap och teknik,AASS
Saffiotti, Alessandro, 1960- (author)
Örebro universitet,Institutionen för naturvetenskap och teknik,AASS
Sathyakeerthy, Subhash, 1981- (author)
Örebro universitet,Institutionen för naturvetenskap och teknik,AASS
Sgorbissa, Antonio (author)
Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Genova, Italy
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 (creator_code:org_t)
New York : IEEE conference proceedings, 2015
2015
English.
In: Proceedings of the 24th IEEE International Symposium on Robot and Human Interactive Communication, Kobe, Japan, Aug 31 - Sept 4, 2015. - New York : IEEE conference proceedings. - 9781467367042 ; , s. 594-600
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Robots for the elderly are a particular category of home assistive robots, aiming at assisting the elderly inthe execution of daily life tasks to extend their independent life. To this aim, such robots should be able to determine the level of independence of the user and track its evolution over time, to adapt the assistance to the person capabilities and needs. Human Activity Recognition systems employ various sensing strategies, relying on environmental or wearable sensors,to recognize various daily life activities which provide insights on the health status of a person. The main contribution of the article is the design of an heterogeneous information management framework, allowing for the description of a wide variety of human activities in terms of multi-modal environmental and wearable sensing data and providing accurate knowledge about the user activity to any assistive robot.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

Detecting and Understanding Human Activity
Assistive Robotics
Multi-modal Situation Awareness and Spatial Cognition
Computer Science
Datavetenskap

Publication and Content Type

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