Human Activity Recognition in Smart Environments (Dagstuhl Seminar 12492)

Authors James L. Crowley, Kai Kunze, Paul Lukowicz, Albrecht Schmidt and all authors of the abstracts in this report



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Author Details

James L. Crowley
Kai Kunze
Paul Lukowicz
Albrecht Schmidt
and all authors of the abstracts in this report

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James L. Crowley, Kai Kunze, Paul Lukowicz, and Albrecht Schmidt. Human Activity Recognition in Smart Environments (Dagstuhl Seminar 12492). In Dagstuhl Reports, Volume 2, Issue 12, pp. 17-36, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)
https://doi.org/10.4230/DagRep.2.12.17

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 12492 "Human Activity Recognition in Smart Environments". We established the basis for a scientific community surrounding "activity recognition" by involving researchers from a broad range of related research fields. 30 academic and industry researchers from US, Europe and Asia participated from diverse fields including pervasive computing, over network analysis and computer vision to human computer interaction. The major results of this Seminar are the creation of a activity recognition repository to share information, code, publications and the start of an activity recognition book aimed to serve as a scientific introduction to the field. In the following, we go into more detail about the structure of the seminar, discuss the major outcomes and give an overview about discussions and talks given during the seminar.
Keywords
  • Activity Recognition
  • Machine Learning
  • Context Awareness,Pattern Analysis,Sensor Networks
  • Wearable computing
  • Computer Vision

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