prpip 1.2.0

A package for reconstructing pupil size and handling eye-tracker blinks.

prpip

Reconstruct pupil size during blinks in eye-tracking data with a physiologically inspired approach.

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Features

• Detects blink intervals in eye-tracking data.
• Reconstructs pupil size during blinks using:
  • Logarithmic recovery for long blinks (>50 ms).
  • Polynomial blending for short blinks (<50 ms).
  • Adds stochastic variability to mimic natural pupil fluctuations.
• Supports processing individual trials or entire datasets.
• Flexible output:
  • Save reconstructed data to a new file.
  • Replace blinks in the original dataset.

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Installation

Install the latest version of prpip from PyPI:

pip install prpip

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Quick Start

1. Import the Package

import prpip as pr

2. Process Eye-Tracker Data

# Process and save reconstructed data to a new file
pr.process_eye_tracker_data(
    input_file="input.csv",
    output_file="reconstructed.csv",
    newfile=True  # Save as a new file
)

3. Replace Blinks in Original Data

# Replace blinks in the original dataset
processed_data = pr.process_eye_tracker_data(
    input_file="input.csv",
    newfile=False  # Replace blinks in the original data
)

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Input File Requirements

The input file must be a CSV with the following columns:

• Trial: Identifies the trial number.
• Pupil Size: The measured pupil size.

Output

The output can either:

• Add a new column Reconstructed Pupil Size (if newfile=True).
• Replace the Pupil Size column with reconstructed values (if newfile=False).

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Advanced Parameters

You can customize the behavior of the reconstruction:

• blink_threshold: Threshold for detecting blinks. Default is 0 (blinks occur when Pupil Size is 0).

• tau: Recovery time constant for logarithmic reconstruction. Default is 50.

• noise_scale: Scale of Gaussian noise added to long-blink reconstructions. Default is 0.05.

Example:

pr.process_eye_tracker_data(
    input_file="input.csv",
    output_file="reconstructed.csv",
    blink_threshold=0,
    tau=60,
    noise_scale=0.1,
    newfile=True
)

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License

This project is licensed under the MIT License.

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Contributing

We welcome contributions! To contribute:

1. Fork the repository on GitHub.
2. Create a new branch for your feature or bugfix.
3. Submit a pull request.

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Author

• Mohammad Ahsan Khodami
• Email: [e-mail]
• GitHub: AhsanKhodami

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Example Input and Output

Input:

Trial	Trial Time	Pupil Size
1	0	4500
1	10	0
1	20	0
1	30	4800

Output:

Trial	Trial Time	Pupil Size	Reconstructed Pupil Size
1	0	4500	4500
1	10	0	4600
1	20	0	4700
1	30	4800	4800