How do the physics of this project work?

For hinge-style joints - The dot product between a vector traced from the superior to the interior joint and a vector traced from the base to the tip of the customized force vector is continuously computed. The minimum dot product is recorded to find when the vectors are approximately perpendicular, thus maximizing the external moment arm. The corresponding angle is also stored, and depending on which muscle has the greatest internal moment arm around that angle, the program computes with the muscle most stimulated.

For ball-and-socket style joints - The concept is similar, but more complex. Similar vectors are used, but a cross product is computed instead, and more factors about the general direction of motion from user parameters are factored into the conclusion.

What is left before the project is finished?

Seamlessly applying the logic and movement scripts to lower body joints and polishing the conclusions from various PubMed sources, including with graph visualization to ensure maximum usability and accuracy.

Contact: lmaridgefield@icloud.com or machinabiodev@gmail.com

Neuromechanical matching is an expertimental theory that emphasizes the preferential activation of motor units,

but what does that mean?

To fully stimulate a muscle, one must recruit as many units as possible.

However, the CNS (central nervous system) can only do this for so many muscle groups.

Pursuant to neuromechanical matching, the muscles with best leverage (or greatest internal moment arm length) will be most recruited because they host the fibers best suited to exert torque.

As such, neuromechanical matching is a principle of efficiency. It does not state the prime mover—rather, it determines which muscle has the greatest number of its fibers recruited, and thus grows more.