Need help about coupled pendulum

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    Coupled Pendulum
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SUMMARY

The discussion centers on conducting experiments with a coupled pendulum using a motion sensor program. Key recommendations include investigating the pendulum's normal modes and measuring the eigenfrequency of each mode. For programming, users are advised to utilize greyscale mixing of RGB bitmaps and normalize array values between 0 and 1 for effective motion detection. DataTank is highlighted as the preferred tool for visual applications, while Matlab is mentioned as an alternative.

PREREQUISITES
  • Understanding of coupled pendulum dynamics
  • Familiarity with motion sensor programming
  • Knowledge of eigenfrequency measurement techniques
  • Experience with DataTank software for visual applications
NEXT STEPS
  • Investigate the normal modes of a coupled pendulum
  • Learn how to measure eigenfrequencies in oscillatory systems
  • Explore motion detection algorithms using RGB bitmap processing
  • Get hands-on experience with DataTank for visual data analysis
USEFUL FOR

Physics students, experimental researchers, and software developers interested in motion detection and coupled oscillatory systems.

christian_zan04
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i am assigned to perform an experiment on coupled pendulum using a motion sensor program. the set-up is basically consist of a computer with a motion sensor program, a camera, and the coupled pendulum. i just want to ask what will be the best thing to investigate or experiment about with the set-up provided. if possible can you provide a detailed discussion.

thanks. :smile::smile:
 
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Why don't you use your apparatus to measure the mass of the Higgs boson. The experiment would be utterly trivial for you to set up and would provide a great service to the scientific community.

Sorry, I can't go into a detailed discussion at this time, but I'm sure you can just figure it out by yourself.
 
You could set the pedulum to swing in its two normal modes and then measure the eigenfrequency of each mode.
Do you have to write the motion sensor program yourself?
If so then I recommend greyscale mixing your RGB bitmap and then normalizing the array values to be between 0 and 1. This makes for a very robust computational mesh.
If you subtract every frame from the original frame then you will get a null array that only "sees" values where change has occurred, ie: motion.
All of the legwork can be done quite easily using DataTank. Check it out at
http://www.visualdatatools.com/
Matlab could be used, but DataTank is designed specifically for visual apps.
 
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