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PFC
Kinematic Model of the Hand using Computer Vision
Student/s
- Edgar Simo Serra
Supervisor/s
- Alba Perez Gracia
- Francesc Moreno Noguer
Information
- Started: 22/04/2010
- Finished: 24/05/2011
Docs
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PFC
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Thesis Slides (Catalan)
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PFC Slides (English)
Description
Justification:
There is a need for non-invasive methods in order to study the location and motion of joints within the human body. In particular, the description of the motion of the hand is important for anatomic applications, for automatic identification of gestures and sign language, and for planning the motion of robotic and prosthetic hands.
Overview:
The system to be developed uses one, and potentially more cameras to capture images of a moving human hand. Using computer vision algorithms the position and orientation of the fingernails will be estimated throughout time. Once the 3D motion of the terminal limbs of the hand has been identified along time, a kinematic synthesis solver is to be used in order to calculate the location of the joints and the rotation about each joint for each instant of time.
Objectives:
- Design an experimental setup for hand motion capture with one or several cameras.
- Implement computer vision algorithms for detecting the position andorientation of the finger nails.
- Implement kinematics solver.
The work is under the scope of the following projects:
- GARNICS: Gardening with a cognitive system (web)
- CUIK++: An Extension of Branch-and-Prune Techniques for Motion Analysis and Synthesis of Complex Robotic Systems (web)
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