Mixture Model Segmentation for Gait Recognition

  title={Mixture Model Segmentation for Gait Recognition},
  author={Moffett Field and David A. Stirling and Fazel Naghdy and Zengxi Pan},
  journal={2008 ECSIS Symposium on Learning and Adaptive Behaviors for Robotic Systems (LAB-RS)},
Modeling of human motion through a discrete sequence of motion primitives, retaining elements of skillful or unique motion of an individual is addressed. Using wireless inertial motion sensors, a skeletal model of the fluid human gait was gathered. The posture of the human model is described by sets of Euler angles for each sample. An intrinsic… CONTINUE READING