https://github.com/mikebionic/iot-glove

Simple implementation of client IoT glove to control the remote computer running server on connected to server
https://github.com/mikebionic/iot-glove

flask gpio orangepi-zero pyautogui python requests rest-api

Last synced: 14 days ago
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Simple implementation of client IoT glove to control the remote computer running server on connected to server

• Host: GitHub
• URL: https://github.com/mikebionic/iot-glove
• Owner: mikebionic
• Created: 2020-05-03T18:17:49.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-05-04T17:11:09.000Z (over 5 years ago)
• Last Synced: 2025-04-04T01:01:34.952Z (6 months ago)
• Topics: flask, gpio, orangepi-zero, pyautogui, python, requests, rest-api
• Language: Python
• Size: 1.14 MB
• Stars: 4
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# IoT-glove | Switching Presentation Slides Glove

Simple implementation of client IoT glove to control the remote computer running server on connected to server

**University Project — 2019**

![Glove Prototype](https://github.com/mikebionic/IoT-glove/blob/master/glove.png)

This project demonstrates an IoT application that allows a user to switch presentation slides using a glove equipped with sensors. The system is built with **Orange Pi** and **Python**, leveraging the Orange Pi’s GPIO pins for input detection and PyAutoGUI for remote keyboard control.

## How It Works

1. **Hardware Input**

   * A glove is connected to an **Orange Pi** via sensors.

   * The Orange Pi reads sensor input through its GPIO pins using Python.

2. **Signal Processing**

   * When an input is detected, Python sends an HTTP request to a target computer’s IP address.

3. **Slide Control**

   * On the computer, a Python script listens for the incoming request.

   * **PyAutoGUI** simulates the corresponding keyboard press (e.g., `Right Arrow` or `Left Arrow`) to move presentation slides forward or backward.

## Technologies Used

* **Orange Pi** (GPIO input handling)

* **Python**

* **PyAutoGUI** (keyboard simulation)

* **HTTP requests** for communication

## Potential Use Cases

* Hands-free control of presentations during lectures or conferences.

* Accessibility aid for people who cannot use traditional input devices.

* Integration with other IoT-based control systems.