Task 2.1.2 : Biomechanical simulation of human running (work in progress)

Now upgrade the human running simulation for the first time in six years.

With the new spine mechanism invented in the previous task (https://www.facebook.com/yutaca.sawai/posts/2426558307574568)
and the new joint movement of the knees and elbows, it is now possible to simulate the athlete’s movement almost completely.

Wow this is very good! Although to me something looks off about the way the leg lands before pushing off. maybe the timing when the leg pulls or the distance the leg lands from the body?

The acceleration when the leg kicks the ground can be freely changed by the formula and the theorem. In either case, the run cycle converges linearly. If you look at the bat’s flapping simulation you can understand well that. It’s using the same formula. https://youtu.be/YhnCr8MqOSs

While waiting for this task to complete, you can try to research on your own. So, please see the following PDF file or click the link to the article of LinkedIn. You can download the movement modeling data published so far. http://varipon.com/files/3715/6293/3688/Simulation_data_download.pdf

oh I see. ok

Task 2.1.1 : Biomechanical simulation of human running (work in progress)

Python programming has been successfully completed.

Minor corrections: On request, now the hip of the human model has been slightly bound to the joint b1y1 (β1γ1) of the leg of the movement mechanism model.

This biomechanical video implements only minimal key mechanism elements in straightforward and compact motions to introduce a little ideas [1]. In new business scene in the near future, the movement links of formulas will increase, and the movement smoothness and resolution will further increase. It ultimately this finite element method extends to the work of DNA and mitochondria. This finite element simulation is an analysis method of continuum mechanics different from neural networks and genetic algorithms. That brings a new wave to metrology in biotechnology.

This is based on the method that when Ip Man tried to spread Wing Chun Kung Fu to the world.


New insights on the spine impulsion mechanism : The fulcrums position moved to the hip.

looks cool I really like it.

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You can download these movement modling datas from here & run Python scripts and use them for your artwork and study freely. By deepening this research, we can further increase the number of links in the formula mechanism, improve motion and increase resolution.

Upgrading to 2.1.2. Improves spinal movements and shoulder and pelvic movements.

It feels Iles she’s galloping like a horse does. Shouldn’t the legs have a bit more spread movement?

I’ve found a nice reference of sprinters, I see they kick their legs a bit higher up just before planting their feet on the ground. Al’s the legs move a bit more apart from each other

I’ve watched all those videos, but it’s a mistake to use them as a reference, as sprinters’ running form vary from person to person. Even if you use artificial intelligence to analyze those sprints, it is impossible to understand what is the ideal of exercise. What I am providing is a mathematical formula for zero-biased motion without the illusion of human beings. Based on this mathematical formula, we can measure the characteristics of each sprinter.

There was a similar opinion during the front crawl simulation, like that “The movement of the arms should be wider and faster”. However, in the end, it converges on individual human differences. And Customization of individual differences is possible by changing the parameters of the formula.

Looking at the fastest sprints of women, unlike men, the knees (thighs) are not raised high. I think there are various reasons for this. For example, this is due to the short stature of women and their narrow strides.

The model in my simulation is 167 cm tall and weighs 53 kilograms. so She cannot run in the form of a male top sprinter with 195 cm tall.
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