san-ha-kim/multiple-object-tracking-paradigm

Multiple Object Tracking

multiple-object-tracking-paradigm

This is the multiple object tracking paradigm, as first described by Pylyshyn and Storm (1988). In this very experiment, the objects follow a Brownian motion and expected to indicate all the objects they have been tracking instead of selecting if one object has been tracked or not.

Note that this multiple object tracking is NOT RELATED TO COMPUTER VISION.

Change n_prac and n_real variables in the main file to change how many practice and real trials there will be, respectively.

Dependencies: PyGame, PsychoPy

To run the MOT experiment, download and run the main experiment file; requires MOT_constants.py and messagescreens.py to run. The GUIDED experiment file includes a step-by-step guide.

multiple-object-tracking-paradigm's Issues

Velocity/speed

Hello,

I am trying to work with your Code or at least I am trying to understand it since I have zero experience with programming.
At what speed/velocity do the objects move? You can type in a range of like -1/1, but what is the unit? is it metre per second or what is it?
Thanks a lot if someone can help me. Try to be as simple as possible if you answer since I have truly no knowledge about this subject.

is it this?
def change_velocity(self, min_spd, max_spd):
self.dx, self.dy = choice([dx for dx in range(min_spd, max_spd) if dx not in [0]]),
choice([dy for dy in range(min_spd, max_spd) if dy not in [0]])

or this?

c1_spd = math.sqrt((C1.dx ** 2) + (C1.dy ** 2))
diff_x = -(C1.x - C2.x)
diff_y = -(C1.y - C2.y)