4/16/2023 0 Comments Mouse motion speed readerThe speed of the mouse can be updated by changing the value of the third parameter. Virtual user 3 by Louis Hoebregts ( CodePen. If you stop moving for 500ms, the fake mouse will start moving again. Now, if you move your mouse, the fake mouse will follow yours. Window.addEventListener('mousemove', onMouseMove) Check if last move was more than 500ms ago Apply the x & y coordinates on our elementĮl.ansform = `translate($px)` Convert the noise values from to the size of the window We get another noise value for the y axis but because we don't want the same value than x, we need to use another value for the first parameterĬonst noiseY = (noise.simplex2(1, a*0.0005) + 1) / 2 This noise algorithm is returning values between so we need to map them to by adding one to the value and dividing it by 2Ĭonst noiseX = (noise.simplex2(0, a*0.0005) + 1) / 2 Get a noise value based on the elapsed time to get a new value on every frame The a variable is the amount of milliseconds since we started our script The render function is called on every frame So, let’s take a look at the code: // We retrieve the image from the DOMĬonst el = document.querySelector('.mouse') mouse, but you could animate anything else for your own projects. I will be using an image of a mouse for the demos that I put on position: fixed with a class. Once the noise script is loaded, we can start using it on every frame to make our mouse move. In my case, I’m using this script by Seph. The first thing we need to make our demo work is to implement a script that generates noise. If you are more interested to know how Simplex noise works, check out the video “I.5: Perlin Noise – The Nature of Code” by Daniel Shiffman Get noise coordinates In our case, we will need two dimensions for the X and Y coordinates of the fake mouse we’re simulating. Those graphs are only showing one dimension (the x-axis, from left to right) but with Simplex noise you can get values in multiples dimensions. You can quickly notice that the bottom graph seems much smoother because every column height is connected to the previous one. Let’s take a look at this image where the height of each column is defined with random values on top, and values from Simplex noise algorithm below. Thankfully, there is a technique that does exactly what we need: Simplex noise (or more commonly known as Perlin noise). What we want is to have a position on every frame that is directly linked to the previous one. If we use a classic random function, the fake mouse will be at a purely random position on every frame. The trick here is to use an algorithm that will generate “smooth” random positions. Particles (fake) by Louis Hoebregts ( CodePen. As soon as you start moving your mouse or your finger, you can see the animation.įor that reason, I created the same demo but I used some extra code to simulate someone interacting with the demo. If you do not interact with the iframe, you will see nothing but a blank space. Particles (on move) by Louis Hoebregts ( CodePen. I didn’t want to have to stay next to my computer to move my mouse in order to show off the demo. This happened to me when I needed to show this particles demo to my students. If you’ve ever had to display an interactive animation during a live talk or a class, then you may know that it’s not always easy to interact with your slides and while talking.
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