Systematic evaluation of social behaviour modelling with a single accelerometer

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.