Gait classification is a developing research area, particularly with regards to biometrics. It aims to use the distinctive spatial and remporal characteristics of human motion to classih differing activities. As a biometric, this extends to recognising differentpeople by the heterogeneous aspects of their gait. This researrh aims to use a modijied deformable model, the temporal PDM, to disringuish the movements of a walking and running person. The movement of 2Dpoints on the moving form is used to provide input into the model and classih the type of gait present.
And 'Point Distribution Model' REF is presented to distinguish the movements of walking and running.
Temporal PDMs for gait classification
Object recognition supported by user interaction for service robots
Object recognition supported by user interaction for service robots
Computer Science