PhyAAt: Physiology of Auditory Attention

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License: MIT License (MIT)

Author: Nikesh Bajaj

Tags phyaat, auditory-attention, attention, eeg, physiological-signals, physiology, predictive-analysis, artifact, EEG, EDA, Biomedical-signals, Electroencephalogram, Galvanic-Skin-Response, GSR, photoplethysmogram, PPG

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Project description

PhyAAt: Physiology of Auditory Attention

Predictive analysis of auditory attention from physiological signals

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Links: Homepage | Documentation | Github | PyPi - project | _ Installation: pip install phyaat

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Table of contents

Requirement :

['numpy','scipy','matplotlib','spkit']

Installation

with pip

pip install phyaat

Build from the source

Download the repository or clone it with git, after cd in directory build it from source with

python setup.py install

Getting Started

For starting check here - Getting Started

Contents are being updated on the webpage continuously, please check there for updates

Contacts:

PhD Student: Queen Mary University of London & University of Genoa

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for nikeshbajaj from gravatar.com nikeshbajaj

Unverified details

These details have not been verified by PyPI
Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: MIT License (MIT)

Author: Nikesh Bajaj

Tags phyaat, auditory-attention, attention, eeg, physiological-signals, physiology, predictive-analysis, artifact, EEG, EDA, Biomedical-signals, Electroencephalogram, Galvanic-Skin-Response, GSR, photoplethysmogram, PPG

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0.0.3

0.0.2

0.0.1

0.0.0

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