Towards collaborative group activity recognition using mobile devices

D Gordon, JH Hanne, M Berchtold… - Mobile Networks and …, 2013 - Springer
In this paper, we present a novel approach for distributed recognition of collaborative group
activities using only mobile devices and their sensors. Information must be exchanged …

Group affiliation detection using model divergence for wearable devices

D Gordon, M Wirz, D Roggen, G Tröster… - Proceedings of the 2014 …, 2014 - dl.acm.org
Methods for recognizing group affiliations using mobile devices have been proposed using
centralized instances to aggregate and evaluate data. However centralized systems do not …

Group activity recognition using belief propagation for wearable devices

D Gordon, M Scholz, M Beigl - … of the 2014 ACM International Symposium …, 2014 - dl.acm.org
Humans are social beings and spend most of their time in groups. Group behavior is
emergent, generated by members' personal characteristics and their interactions. It is …

Grace: Recognition of proximity-based intentional groups using collaborative mobile devices

N Yu, Q Han - 2014 IEEE 11th International Conference on …, 2014 - ieeexplore.ieee.org
People in social environments often appear in groups to have face-to-face interactions,
automatically recognizing these groups will facilitate many applications while being …

Jnode: a sensor network platform that supports distributed inertial kinematic monitoring

PM Scholl, K Van Laerhoven, D Gordon… - 2012 Ninth …, 2012 - ieeexplore.ieee.org
Because of the intrinsic advantages of wireless inertial motion tracking, standalone devices
that integrate inertial motion units with wireless networking capabilities have gained much …

[PDF][PDF] Group activity recognition using mobile devices

D Gordon - Procedings of the Doctoral Consortium at the Tenth …, 2012 - teco.edu

[PDF][PDF] Peer-to-peer group affiliation detection using mobile phones

D Gordon, M Beigl, M Wirz, G Troster… - Tech. Rep. 2013 digbib …, 2013 - core.ac.uk
As social creatures we spend most of our time in groups, which are more productive than the
individuals in them alone. Methods for recognizing group boundaries and affiliations have …

[PDF][PDF] Group activity recognition using belief propagation for p2p mobile devices

D Gordon, M Scholz, M Beigl - Tech. Rep., 2013 - core.ac.uk
Human are social beings and spend most of their time in groups. Group behavior is
emergent, generated by members' personal characteristics and their interactions making it …