Feet Motion Pattern Recognition Based on Data from Swiss Ranger Camera and other Dynamical Sensors with Offering an Intelligent Data Bank in Motion Correction and Rehabilitation, M.Sc. Thesis Sharif University of Technology ; Sayyaadi, Hassan (Supervisor)
Abstract
In this project, we use an off-line motion capture technique for walking pattern recognition and reconstruction, and apply a sensory data acquisition system for extracting knee and ankle joints angular movements. Our approach is a marker-based object tracking technique using only one camera and four markers as data acquisition system, and a neural network method is developed for marker detection. Different walking condition considered including: straight position, inclined position with 〖+5〗^° slope, and 〖-10〗^° slope. Using pattern obtained from above process, the BVH format of the motion is built for 3D reconstruction of the performer’s motion. Since the obtain data describe the motion of...
Cataloging briefFeet Motion Pattern Recognition Based on Data from Swiss Ranger Camera and other Dynamical Sensors with Offering an Intelligent Data Bank in Motion Correction and Rehabilitation, M.Sc. Thesis Sharif University of Technology ; Sayyaadi, Hassan (Supervisor)
Abstract
In this project, we use an off-line motion capture technique for walking pattern recognition and reconstruction, and apply a sensory data acquisition system for extracting knee and ankle joints angular movements. Our approach is a marker-based object tracking technique using only one camera and four markers as data acquisition system, and a neural network method is developed for marker detection. Different walking condition considered including: straight position, inclined position with 〖+5〗^° slope, and 〖-10〗^° slope. Using pattern obtained from above process, the BVH format of the motion is built for 3D reconstruction of the performer’s motion. Since the obtain data describe the motion of...
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