Real-life activity recognition - Focus on recognizing reading activities

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


As the field of physical activity recognition matures, we can build more and more robust pervasive systems and slowly move towards tracking knowledge acquisition tasks. We are especially interested one particular cognitive task, namely reading (the decoding of letters, words and sentences into information) Reading is a ubiquitous activity that many people even perform in transit, such as while on the bus or while walking. Tracking reading and other high level user actions gives us more insights about the knowledge life of the users enabling a whole range of novel applications. Yet, how can we extract high level information about human activities (e.g. reading) and complex real world situations from heterogeneous ensembles of simple, often unreliable sensors embedded in commodity devices? The paper focuses on how to use body-worn devices for activity recognition and how to combine them with infrastructure sensing, in general. In the second part, we take lessons from the physical activity recognition field and see how we can leverage to track knowledge acquisition tasks (in particular recognizing reading activities). We discuss challenges and opportunities.

Original languageEnglish
Title of host publicationCamera-Based Document Analysis and Recognition - 5th International Workshop, CBDAR 2013, Revised Selected Papers
PublisherSpringer Verlag
Number of pages7
ISBN (Print)9783319051666
Publication statusPublished - 2014
Externally publishedYes
Event5th International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2013 - Washington, DC, United States
Duration: 2013 Aug 232013 Aug 23

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8357 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other5th International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2013
Country/TerritoryUnited States
CityWashington, DC


  • Activity recognition
  • Cognitive tasks
  • Reading

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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