Real-life activity recognition: Recognizing reading activities

Kai Kunze

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

How can we extract high level information about human actions and complex real world situations from heterogeneous ensembles of simple, often unreliable sensors embedded in commodity devices? We focus on how to use body-worn devices for activity recognition in general, and how to combine them with infrastructure sensing. We discuss how to combine them with traditional computer vision approaches for a specific high level human activity, namely knowledge acquisition (in particular recognizing reading activities).

Original languageEnglish
Title of host publicationJoint Proc. of the Workshop on AI Problems and Approaches for Intelligent Environments, AI@IE 2013 and Workshop on Semantic Cities, SemCities 2013 - In Conj. with the 23rd IJCAI 2013
Number of pages1
DOIs
Publication statusPublished - 2013 Dec 31
Externally publishedYes
EventJoint Workshop on AI Problems and Approaches for Intelligent Environments, AI@IE 2013 and Workshop on Semantic Cities, SemCities 2013 - In Conj. with the 23rd Int. Joint Conf. on Artificial Intelligence, IJCAI 2013 - Beijing, China
Duration: 2013 Aug 4 → 2013 Aug 5

Publication series

NameACM International Conference Proceeding Series

Other

OtherJoint Workshop on AI Problems and Approaches for Intelligent Environments, AI@IE 2013 and Workshop on Semantic Cities, SemCities 2013 - In Conj. with the 23rd Int. Joint Conf. on Artificial Intelligence, IJCAI 2013
CountryChina
CityBeijing
Period13/8/4 → 13/8/5

Keywords

  • activity recognition
  • reading behavior
  • robust

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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