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Towards Episodic Memory Support for Dementia Patients by Recognizing Objects, Faces and Text in Eye Gaze

  • Takumi ToyamaEmail author
  • Daniel Sonntag
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9324)

Abstract

Humans forget events or certain types of information sometimes even when the information is important. There are patients who suffer from diseases such as dementia that result in memory loss. Using an eye tracker and image analysis modules, we develop a system that recognizes everyday objects, faces and text that the user looks at. This system can be effectively used to support an individual user’s memory by logging certain types of everyday information that the user perceives and tries to organize in his or her memory. We present a technical implementation of an episodic memory support.

Keywords

Face Recognition Query Image Recognition Result Dementia Patient Visual Content 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.DFKI GmbHSaarbrückenGermany

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