Code Monkey home page Code Monkey logo

feelinguncertain's Introduction

Readme

This repository belongs to the MSc. Thesis by Tom Driessen. It can be found in the TU Delft repository.

The jupyter notebook files in this repository contain the code for the analysis part of the thesis. The notebooks are stored in the Analysis folder in html form, these can be viewed directly in the browser. In the underlying /code folder, the same notebooks can be found in .ipynb format.

A description of the files:

File Description
Overview of data Used as reference, an overview of the data that is contained within the obj folder of this repository.
Pre-processing Shows how the trials were isolated from the recordings
Analysis A MTTC analyisis and raw data plots
Analysis B Eye tracking analysis
Analysis C Nasa TLX and acceptance analysis
helpers.py helper functions for loading and handling data
TomsFunctions.py helper functions for loading and handling data and calculating TTP variable

feelinguncertain's People

Contributors

tomdries avatar tomayoola avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.