Stephen Meschke's practice log

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15th July 2017

Stephen Meschke

# 7 balls, 4 clubs, 75 minutes

Warm up with 5b. Trained 7b cascade until I hurt the tip of my right index finger. Then I juggled 4 clubs in the breeze. 633 with 4c is really going well.

I juggle in a large open field. The sun sets in the west, so I juggle facing east for maximum visibility. There is a bathroom east of the field. When I juggle, I can see the bathroom.

In the past few weeks I have seen two drug sales at that bathroom.

This evening, I saw something more disturbing:

A disheveled man walked to the bathroom carrying a large box of donuts. At 46 years old, 183cm and 114kg he looked moderately diabetic. He loitered at the bathroom (typical behavior for a drug transaction). A few minutes later an 11 to 13 year old girl walked up to the bathroom. She had started to open the door when the man engaged her in conversation.

While they talked she stood still with her hand on the door handle. He walked from her right to her left, coming within arms length.

Rant: The bathrooms are always destroyed too!

Total practice time: 75 minutes

Location: Park

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10th July 2017

Stephen Meschke

# vision research, 1 minutes

I have been thinking about the injury that Peter Bone sustained while juggling: link to thread about topic. I want to provide him with the best text based remote diagnosis over the internet possible, so I have done some research into his injury.

Using the same tracking programs from the Juggling Data Set, I created this: pose estimation of 2 ball juggling.

I am not sure how to interpret this, but I believe that it would be useful to show that just after a ball is caught, the tricep fires, pulling the hand down. This rapid downward movement of the hand can put lots of pressure on the ulnar collateral ligament if the bicept is not relaxed.

My diagnosis is a torn UCL, and my treatment recommendation is ulnar reconstructive surgery (also known as Tommy John Surgery) where a ligament is taken from the leg of a cadaver and implanted into the arm. Tommy John Surgery is used effectively for Major League Baseball pitches, who often see in increase in velocity after the surgery.

Total practice time: 1 minutes

Location: Linux

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1st July 2017

Stephen Meschke

# vision research, 1 minutes

Going from graph to siteswap:

http://imgur.com/a/dpZD3 (the patterns are 5550,552, and 744)

Found that most throws are within 2% of predicted siteswap value.

Total practice time: 1 minutes

Location: Linux

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30th June 2017

Stephen Meschke

# vision research, 1 minutes

Camshift Tracking + Kalman Filter: https://youtu.be/430lPkbvmc0

Having trouble with these lines:

kalman = cv2.KalmanFilter(4,2)
kalman.measurementMatrix = np.array([[1,0,0,0],[0,1,0,0]],np.float32)
kalman.transitionMatrix = np.array([[1,0,1,0],[0,1,0,1],[0,0,1,0],[0,0,0,1]],np.float32)
kalman.processNoiseCov = np.array([[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]],np.float32) * .002

Total practice time: 1 minutes

Location: Linux

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28th June 2017

Stephen Meschke

# vision research, 1 minutes

Created site for the juggling data set:

https://sites.google.com/view/jugglingdataset/

Total practice time: 1 minutes

Location: Linux

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27th June 2017

Stephen Meschke

# vision research, 1 minutes

Worked on a new tracking program that uses camshift instead of optical flow. This is a completely different mechanism for tracking the balls. This new method is quite a bit faster than the optical flow method because it is more automated and requires less use input.

Demonstration of the camshift tracking program: https://youtu.be/TCct--xtKp0

Code is in the Python Tutorials folder: https://drive.google.com/open?id=0B7QqDexrxSfwcmROb1ByNkhqOEU

The camshift program works well for indoor juggling, but poorly for outdoor juggling. The optical flow program works well outdoors, but poorly indoors.

Total practice time: 1 minutes

Location: Linux

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25th June 2017

Stephen Meschke

# vision research, 1 minutes

Major breakthrough: smoothing the data with a Savgol filter improves the quality tremendously.


from scipy import signal
x_smooth = signal.savgol_filter(x, window_length, polyorder)

Total practice time: 1 minutes

Location: Linux

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24th June 2017

Stephen Meschke

# vision research, 1 minutes

(F+D)/(V+D)= #balls/#hands

https://youtu.be/fbC7B6a6His

Total practice time: 1 minutes

Location: Linux

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22nd June 2017

Stephen Meschke

# vision research, 1 minutes

Juggling Edge User unigamer made a really cool graph. It showed me how to graph in 3D. Made this: https://youtu.be/GGLzph6IZYc?t=6s.

I need to redo this with two cameras.

Total practice time: 1 minutes

Location: Linux

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19th June 2017

Stephen Meschke

# three ball stack, 1 minutes

Worked on a three ball stack game in Python: https://youtu.be/MVKfjTsTt6U

Seems doable. Quite fun.

Total practice time: 1 minutes

Location: Linux

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>5 endurance, 3-5 Clubs, 3-6 balls, 3-6 clubs, 3-7 balls, 4 clubs, 5, 5 balls, 5 clubs, 5-6 balls, 5-7 balls, 5-8 balls, 6 balls, 7 balls, balance, balance spinner, dwell time, handstand, Joggling, Juggling Simulator, PR, Rola-bola, routine, runfinder, three ball stack, training, tutorial, vision research