Altius

Altius is a Python-based system for analysis of climbing performance using 4 Arduino Nano 33 BLE sensors. It collects sensor data via Bluetooth, saves it to CSV files, and provides feedback to the user on climbing technique through a Graphical User Interface.

Features

• 4 limb IMU logging: Collects data from four Arduinos (left arm, right arm, left leg, right leg), each running its own firmware.
• GUI: Tkinter-based user interface for starting/stopping data collection and viewing performance scores.
• Scoring: Calculates and displays scores for:
  • Arm/leg usage ratio
  • Stability
  • Movement smoothness
  • Rhythm/flow
  • Grip count
  • Fall detection
• CSV-based storage: Each Arduino writes to a separate CSV file.

Setup

1. Clone this repository and install dependencies

    git clone https://github.com/flaferty/altius.git
    cd altius
    pip install bleak async-tkinter-loop numpy pandas matplotlib

2. Set up the 4 Arduinos using the .ino file from the appropriate arduino_setup/ subfolder

3. Power the Arduinos and secure each device to its respective limb using the custom-designed enclosures

4. Run the GUI:

   python code/gui.py

Usage

• Start the logger - The GUI will scan for the available IMU devices and connect to them.
• Data is streamed from each Arduino and saved to data/ as a CSV file.
• Stop the logger using the X button in the GUI to end the session.
• Scores and feedback are calculated and displayed automatically.

Code Structure

altius/
├── data/                       # Directory for CSV files
├── setup/                      # Arduino setup files
├── code/
    ├── gui.py                  # GUI and application logic
    ├── logger.py               # Handles Bluetooth scanning, connection, and CSV logging
    ├── arm_leg_usage.py        # Calculates arm/leg usage ratios
    ├── stability.py            # Computes stability score
    ├── smoothness.py           # Analyzes movement smoothness
    ├── fall_rhythm.py          # Detects falls and analyzes climbing rhythm/flow
    ├── grip_count.py           # Counts grip events from stillness periods