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Automatic learning of 3D pose variability in walking performances for gait analysis

Autor
Rius, I.; González, J.; Mozerov, M.; Roca, F.
Tipus d'activitat
Article en revista
Revista
International Journal for Computational Vision and Biomechanics
Data de publicació
2008
Volum
1
Número
1
Pàgina inicial
33
Pàgina final
43
Repositori
http://hdl.handle.net/2117/13744 Obrir en finestra nova
URL
http://paginas.fe.up.pt/~ijcvb/editions_v1_n1.htm Obrir en finestra nova
Resum
This paper proposes an action specific model which automatically learns the variability of 3D human postures observed in a set of training sequences. First, a Dynamic Programing synchronization algorithm is presented in order to establish a mapping between postures from different walking cycles, so the whole training set can be synchronized to a common time pattern. Then, the model is trained using the public CMU motion capture dataset for the walking action, and a mean walking performance is au...
Grup de recerca
CEPIMA - Center for Process and Environment Engineering

Participants