Towards a social and context-aware multi-sensor fall detection and risk assessment platform

@article{Backere2015TowardsAS,
  title={Towards a social and context-aware multi-sensor fall detection and risk assessment platform},
  author={Femke De Backere and Femke Ongenae and Floris Van Den Abeele and Jelle Nelis and Pieter Bonte and Eli Clement and Matthew Philpott and Jeroen Hoebeke and Stijn Verstichel and Ann Ackaert and Filip De Turck},
  journal={Computers in biology and medicine},
  year={2015},
  volume={64},
  pages={
          307-20
        }
}
For elderly people fall incidents are life-changing events that lead to degradation or even loss of autonomy. Current fall detection systems are not integrated and often associated with undetected falls and/or false alarms. In this paper, a social- and context-aware multi-sensor platform is presented, which integrates information gathered by a plethora of fall detection systems and sensors at the home of the elderly, by using a cloud-based solution, making use of an ontology. Within the… CONTINUE READING
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