IMU Signal Explorer Dashboard

An interactive local web application built with Python and Dash for visualizing, filtering, and exploring high-frequency IMU (Inertial Measurement Unit) time-series data across multiple participants and walking conditions.

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Dashboard Preview

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Features

• Interactive visualization of IMU signals
• Filter by one or more participants
• Filter by walking conditions
• Select individual sensor signals
• Explore specific time windows using a duration slider
• Built-in zoom, pan, hover, and reset tools powered by Plotly

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Prerequisites

Before running the application, make sure you have:

• Python 3.8 or newer
• pip (included with most Python installations)

Required Dataset

Place the file dataset.csv in the same directory as app.py:

Installation

1. Open a terminal (Command Prompt, PowerShell, or Terminal).

2. Navigate to the project directory:

cd path/to/folder

3. Install the required Python packages:

pip install dash pandas numpy plotly

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Running the Application

1. Ensure you are in the project folder containing both:

   • app.py
   • dataset.csv

2. Start the dashboard:

python app.py

3. When the server starts, you should see output similar to:

Dash is running on http://127.0.0.1:8050/

4. Open your web browser and navigate to:

http://127.0.0.1:8050/

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Using the Dashboard

Select Signal

Choose a single IMU signal (for example, acceleration_RightFoot_z_local) to visualize. Only one signal is displayed at a time to prevent overlapping scales.

Select Participants

Choose one or more participants from the dropdown menu. Remove participants by clicking the × next to their names.

Select Walk Modes

Filter the data by walking condition, such as:

• Flat
• Stairs Up
• Stairs Down
• Slope Up
• Slope Down

Duration Slider

Since IMU data contains thousands of samples, use the duration slider to display a smaller time window (for example, 0–10 seconds) for smoother performance and easier analysis.

Graph Controls

• Zoom: Click and drag to zoom into a region.
• Pan: Select the Pan tool (cross-arrows icon) and drag the graph.
• Reset View: Double-click anywhere on the graph.
• Hover: Move the cursor over a signal to view precise time and amplitude values.

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Troubleshooting

FileNotFoundError

FileNotFoundError: No such file or directory: 'dataset.csv'

Ensure that:

• The dataset is named exactly:

dataset.csv

• It is located in the same folder as app.py.

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Address Already in Use

Address already in use

Port 8050 is already being used.

Possible solutions:

• Close any previously running instance of the application.
• Restart your terminal.
• Run the application again.

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Empty Graph

If the dashboard loads but no data is displayed:

• Ensure at least one Participant is selected.
• Ensure at least one Walk Mode is selected.
• Verify that the selected signal exists in the dataset.

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