Systematic evaluation of social behaviour modelling with a single accelerometer
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| Publication date | 2013 |
| Book title | UbiComp'13 adjunct: adjunct publication of the 2013 ACM Conference on Ubiquitous Computing: September 8-12, 2013, Zurich, Switzerland |
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| Event | 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2013) |
| Pages (from-to) | 127-130 |
| Publisher | New York, NY: ACM |
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| 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.
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| Document type | Conference contribution |
| Language | English |
| Published at |
https://doi.org/10.1145/2494091.2494130
(Final published version)
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| Downloads |
Systematic evaluation of social behaviour modelling with a single accelerometer
(Final published version)
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