How do I calculate a "medium" jerk value of my motion data?

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Discussion Overview

The discussion revolves around calculating a "medium" jerk value from 2D motion data in the context of studying biological motion. Participants explore the definitions and calculations of jerk, velocity, and acceleration, as well as the challenges posed by noise in the data.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant describes their background in psychology and their current study of physics, expressing difficulties in calculating jerk from motion data represented by coordinates over time.
  • Another participant explains that position, velocity, acceleration, and jerk are vector quantities and provides a formula for calculating velocity, emphasizing the need to keep x and y values separate.
  • A participant notes that noise in the data may significantly affect jerk calculations, potentially leading to unreliable values.
  • One suggestion is made to fit the position data to a smooth function to calculate jerk analytically, which may help mitigate noise issues.
  • Another participant questions the significance of jerk in the context of the study, clarifying that jerk measures how quickly acceleration changes rather than being a quantity of acceleration itself.
  • The original poster confirms that their stimuli involve biological motion with specific acceleration patterns, indicating that jerk is relevant to their study.

Areas of Agreement / Disagreement

Participants express varying views on the significance of jerk and the challenges posed by noise in the data. There is no consensus on the best approach to calculate a "medium" jerk value, and the discussion remains unresolved regarding the optimal methods to address these challenges.

Contextual Notes

Participants highlight limitations related to noise in the data and the need for potentially smoothing the position data to improve jerk calculations. The discussion does not resolve the mathematical steps necessary for calculating a "medium" jerk value.

Maria_Porto
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I'm a psychologist and I'm currently studying physics but, because this is not my field of study, I'm having great difficulties.
I am currently studying biological motion and I have to calculate the jerk of my 2D motion data and I don't even know where to start. My data is basically a bunch of coordinates on the x and y-axis in time. I'll be using jerk as a measure of the "quantity of acceleration" of my stimuli. The aim is to compare the different jerk values of each of my stimulus (biological vs altered biological stimuli).
I have the velocity calculated per frame of my stimuli (i.e. I have a velocity value per time - because time is constant). I used this formula for calculating the velocity: =SQRT((X2-X1)^2+(Y2-Y1)^2)/1/60), where X1 is the initial position of the stimulus on the x-axis and X2 is the second position (and so on) and Y1 is the initial position of the Y axis and Y2 is the second position of the Y axis. This is data captured at 60Hz, thus, time variation is constant and is 1/60. Thus, I have the instantaneous velocity per frame calculated.

However, I want to calculate the "overall" jerk of my stimuli, kind of a "medium jerk"? How do I do that?
Any help would be truly important!

Thanks a lot!
 
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Position, velocity, acceleration, and jerk are all vector quantities. That means that you keep the x and the y values separate. Usually written like this: ##(x,y)##

So velocity would be ##(x_1-x_0,y_1-y_0)/\Delta t##. So velocity is the change in position divided by the change in time. Similarly acceleration is the change in velocity divided by the change in time. And jerk is the change in acceleration...

Your main problem will be noise. This will make your noise levels skyrocket. You may not get useful values.
 
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Thank you very much!
I am currently working on that and I calculated velocity, acceleration and finally jerk (per frame). You're right, jerk values are huge! I guess my data has a lot of noise..
 
What you may need to do is to fit your position data to some smooth function that you can then use to calculate the jerk analytically.
 
Do you have any reason to believe that the jerk is a significant quantity for what are you doing?
By the way, jerk is not "quantity of acceleration". Like acceleration is not quantity of velocity.
Jerk shows how fast the acceleration changes. If it does change.
What are your stimuli, do you have anything moving at all?
 
Thank you for all the helps and corrections.

My stimuli is biological motion stimuli - yeah it moves and has a very specific pattern of acceleration.

:)
 

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