Systematic evaluation of social behaviour modelling with a single accelerometer

Open Access
Authors
  • H. Hung
  • G. Englebienne
Publication date 2013
Book title UbiComp'13 adjunct: adjunct publication of the 2013 ACM Conference on Ubiquitous Computing: September 8-12, 2013, Zurich, Switzerland
ISBN
  • 9781450322157
Event 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2013)
Pages (from-to) 127-130
Publisher New York, NY: ACM
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
We describe our ongoing research on systematically analysing what types of socially related attributes and behaviours can be estimated automatically in highly social and crowded situations. This is a challenging task because obtaining the true labels for social behaviours or attributes in practice is non-trivial. Here, individuals hang a sensing device around their neck that records their acceleration during a social event. We then devise models to estimate their social behaviour or attributes based on these measurements and systematically evaluate the feasibility of such a set-up. Since we only use a single triaxial accelerometer per person, our results are surprisingly accurate and suggest that further socially relevant information could also be extracted. Our systematic evaluations provide a deeper understanding of how to better model socially relevant information in the future.
Document type Conference contribution
Language English
Published at
https://doi.org/10.1145/2494091.2494130 (Final published version)
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