Determination Test

Implementation of a psychodiagnostic determination test designed to evaluate a user's reactive stress tolerance.
The application is intended to mimic the functionality and behavior of the SCHUHFRIED Determination Test (DT).

Developed as a part of bachelor thesis at the Czech Technical University in Prague – Faculty of Mechanical Engineering.

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About this project - author's note

This project was my first large-scale programming effort, completed while learning Python from scratch.
It reflects my ability to quickly acquire new technical skills and apply them to build a fully functional software system.

Overview

The Determination Test measures how quickly and accurately a participant can respond to rapidly changing visual stimuli under time pressure. It is commonly used in psychological and cognitive assessments to evaluate:

• Reactive stress tolerance
• Attention and concentration
• Processing speed
• Sensorimotor coordination

The software is combined with a custom-made hardware in the for of a control panel. The control panel is operated by RaspberryPI and consists of arcade buttons and pedals.

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Work Preview

Menu

Before eye-tracking optimization

After eye-tracking optimization

Test

Control Panel Prototype

GPIO circuit

Pulldown Resistor Circuit

• To address "floating" pins.
• Hardware: Built using a breadboard and manually soldered connections.

3D Printed Circuit Guard

Features

• User interface
• 3 test options (active, reactive, adaptive)
• Real-time stimulus presentation
• Adaptive testing
• Keyboard-based response handling / Control panel-based response handling
• Automatic result recording and data plotting
• User database

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Tech Stack

Backend

• PyGame

Frontend

• Kivy

Database

• SQLite3

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Intended Use

This software is primarily intended for:

• Research projects
• Academic experiments
• Educational purposes
• Human factors studies

It is not certified medical software and should not be used as a standalone diagnostic tool in clinical settings without proper validation.

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Installation

Important

This application has been developed specifically for Windows. Other operating systems (macOS, Linux) are not officially supported.

1. Clone this repository: git clone https://github.com/kopecon/determination-test.git
2. Set your python interpreter (Python 3.9.13)
3. Open terminal and navigate to the directory containing the "pyproject.toml".
4. In the terminal run: pip install . (or for developer mode: pip install -e . )

• README generated by ChatGPT and reviewed by kopecon.