%0 Conference Proceedings
%T Face-to-face social activity detection using data collected with a wearable device
%A Pierluigi Casale
%A Oriol Pujol
%A Petia Radeva
%B 4th Iberian Conference on Pattern Recognition and Image Analysis
%D 2009
%V 5524
%I Springer Berlin Heidelberg
%@ 0302-9743
%@ 978-3-642-02171-8
%F Pierluigi Casale2009
%O MILAB;HuPBA
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1206), last updated on Tue, 29 Oct 2019 09:37:40 +0100
%X In this work the feasibility of building a socially aware badge that learns from user activities is explored. A wearable multisensor device has been prototyped for collecting data about user movements and photos of the environment where the user acts. Using motion data, speaking and other activities have been classified. Images have been analysed in order to complement motion data and help for the detection of social behaviours. A face detector and an activity classifier are both used for detecting if users have a social activity in the time they worn the device. Good results encourage the improvement of the system at both hardware and software level
%U https://doi.org/10.1007/978-3-642-02172-5_9
%U http://dx.doi.org/10.1007/978-3-642-02172-5_9
%P 56–63