Although it sounds like a lot of effort, creating a Twitter bot is actually really easy! This tutorial, along with some simple tools, can help you create Twitter bots that respond when they see certain phrases, or that periodically post a tweet. These bots work with Markov chains, which can generate text that looks superficially good, but is actually quite nonsensical. You can make the bots read your favourite texts, and they will produce new random text in the same style!
Sigmund Freud is back! He returned in the form of a Twitter bot that replies when someone uses the hashtag #askFreud in their tweets. Not unlike the real Freud, Sigbot produces nonsensical, but real-looking text that is produced using a Markov chain. The bot can recognise and respond to specific keywords, and it can speak both German and English.
This guide will teach you how to install PyGaze and its dependencies on Linux. The guide is written for Debian 8, but the same steps are highly to work on other Linux distributions too.
Introducing MPy150: an easy-to-use Python library for using a BIOPAC MP150. Sample code included!
The EyeTribe tracker is really cheap, and you can now use it in Python and in Matlab. It’s not as bad as you would expect from its price, and you could probably use it in fixation or pupillometry studies. For in-depth info, read this validation study.
PyGaze Analyser is a new (basic) tool to create gaze data visualisations such as heatmaps. The code is open source and free to use. Read the post for example images and the download link!
Building your own eye tracker for dirt cheap. How hard can it be? Turns out the basics are surprisingly simple! This post explains how, including demo videos and source code.