Kinematics of human balance
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Participants will be able to compute a subject´s CoM
position and track its motion over time. This measure can be used to estimate a
subject’s balance. The development of fast and efficient tools to track CoM has
multiple applications ranging from health tracking, virtual reality, functional
rehabilitation, and biometrics. A successful candidate is expected to explore
one of the aforementioned applications and develop a proof of concept solution.
Students will describe human movement using rigid body
kinematics. By the end of the project, they will have obtained a kinematic
model of the most common movements performed by athletes. Data capture for
analysis will be carried out using the stereo photogrammetric motion capture
system available at the Querétaro Campus. Motion data should be compared
against established standards, resulting in suitable reports. Students must
present their results in the form of a scientific article with the results
obtained, as well as a short video for dissemination.
Approach
The use of non-subjective information, as a method of
feedback during training, has a positive impact on an athlete's well-being.
This idea will be evaluated through measurements taken at the beginning and end
of the experimental protocol. In this way, the impact of photogrammetric
postural analysis on the development of high-performance athletes will be
known.
10
a.gonzalezda@tec.mx
Biomechanics
Robotics
Motion Capture
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Literature Review
20 %
Dynamic Modeling of the Movement
20 %
Data capture
20 %
Model Validation and Results Analysis
25 %
Report (Article / video)
15 %





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