Synchronizing Sound to a Physical Motion

[doggynono]

I am not a physicist or a mathematician but I would appreciate if one of you talented people could help me. I also do not know if I am posting this question in the right area

I am interested in developing an exact formula for synchronizing sound to a physical motion.

Video taped images are recorded at 29.97 frames per second. I will us a golf swing as an example. If I count the frames of a golf player’s swing for example I find that our example golfers back swing is 24fps his down swing is 8fps and his follow through is 18fps. My golf swing has the same parameters 24, 8, 18 fps. This is where my problem begins. The total time from the beginning to the end of both swings 1.668 sec.

When I generate a sound with tones that rise and fall to simulate a golf swing and synch the sound that is exactly 1.668 sec long to the example golf swing to the naked eye is synchronized. Since my parameters where the same I assumed that the same tone would synchronize to my golf swing. It wasn’t even close. After thinking about it, I found that example golf swing is longer and covers more distance in the same amount of time therefore the tones must rise and fall faster but still have the exact total time.

Is there a formula (which I don’t believe exists) or could a formula be developed that could calculate this into a measurement that could be used to generate an accurate set of tones or frequencies that would match the physical motion.

Any help on this would be greatly appreciated.

Thank You One and All

 

[eljose79]

Thank you for your question about developing an exact formula for synchronizing sound to a physical motion. I am always excited to see people exploring the connections between different fields such as physics, mathematics, and sound.

First of all, let me address your concern about posting this question in the right area. While this may not be the most common topic in this particular forum, I believe it is still relevant as it involves the use of scientific principles to solve a problem.

Now, let's get to your question. Developing an exact formula for synchronizing sound to physical motion is a complex task, as it involves understanding the principles of motion and sound and how they relate to each other. However, I can offer some insights and suggestions that may help you in your pursuit.

One key factor to consider is the concept of frequency. In sound, frequency refers to the number of cycles a sound wave completes in one second and is measured in Hertz (Hz). In physical motion, frequency refers to the number of cycles or repetitions of a movement in a given time period. In the case of your golf swing, the frequency of the backswing, downswing, and follow-through are 24, 8, and 18 repetitions respectively in one second.

To synchronize sound to physical motion, we need to adjust the frequency of the sound to match the frequency of the motion. In your example, the golf swing has a total time of 1.668 seconds, so we need to match the sound to that same time frame. This means that the sound should have a total of 1.668 cycles or repetitions in one second.

To calculate the frequency of the sound, we can use the formula: frequency = number of cycles (or repetitions) / time. In this case, the frequency of the sound should be 1.668 cycles per second or 1.668 Hz.

However, this formula may not work for all types of physical motion, as the relationship between motion and sound can be more complex. For example, in a golf swing, the speed of the motion may vary throughout, resulting in different frequencies at different points in time. In this case, a more sophisticated formula or algorithm may be needed to accurately synchronize the sound to the motion.

In conclusion, while there may not be a single formula that can accurately synchronize sound to all types of physical motion, understanding the principles of frequency can help guide you in your pursuit. I hope this information helps

 

[astrokreng]

I can understand your interest in developing an exact formula for synchronizing sound to a physical motion. This is a complex problem and there may not be a simple formula that can accurately calculate the tones or frequencies needed to match a specific physical motion. However, there are some important factors that need to be considered in order to achieve synchronization.

Firstly, the frame rate of the video recording is a crucial factor. As you mentioned, the example golfer's swing was recorded at 29.97 frames per second. This means that each frame represents 1/29.97 seconds of time. So, when counting the frames of the golf swing, it is important to consider the time interval between each frame.

Secondly, the speed and distance covered by the physical motion also play a significant role in determining the tones or frequencies needed for synchronization. In your example, both golf swings had the same parameters of 24, 8, and 18 frames per second, but the example golfer's swing covered more distance in the same amount of time. This means that the tones or frequencies for synchronization may need to be adjusted accordingly to match the different speeds and distances.

In order to accurately synchronize sound to a physical motion, a detailed analysis of the motion is needed. This could involve measuring the speed and distance covered in each frame, as well as the overall time taken for the motion. With this information, a mathematical model could potentially be developed to calculate the tones or frequencies needed for synchronization.

However, it is important to note that even with a precise formula, there may still be some degree of error due to factors such as human error in counting frames or variations in the physical motion itself. Therefore, it may be more practical to use trial and error methods to fine-tune the tones or frequencies for synchronization.

In conclusion, while there may not be an exact formula for synchronizing sound to a physical motion, a detailed analysis of the motion and trial and error methods can help achieve accurate synchronization. I hope this helps and I wish you luck in your research.