PhyAAt: Physiology of Auditory Attention
Project description
PhyAAt: Physiology of Auditory Attention
Predictive analysis of auditory attention from physiological signals
Project Homepage
PyPi - project
Links: Homepage | Documentation | Github | PyPi - project | _ Installation: pip install phyaat
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
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
phyaat-0.0.2.tar.gz
(21.2 kB
view details)
Built Distribution
phyaat-0.0.2-py3-none-any.whl
(21.1 kB
view details)
File details
Details for the file phyaat-0.0.2.tar.gz.
File metadata
- Download URL: phyaat-0.0.2.tar.gz
- Upload date:
- Size: 21.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 3cf384018a2e9549af26e4f2d60b2e0a816170c2629f65e1afc23aa91562dd6a |
|
| MD5 | bfdd10cd45320db23ef8a5fa0bfb01ce |
|
| BLAKE2b-256 | 4cfbf3851f6a0580dd9be77d5c380e9c2bcae44532628c1648e9175e674c7a82 |
File details
Details for the file phyaat-0.0.2-py3-none-any.whl.
File metadata
- Download URL: phyaat-0.0.2-py3-none-any.whl
- Upload date:
- Size: 21.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4a6f9f73d4dfaaeb32387e885a0afcb2c969af7d301170dbc562ac987b10ca0a |
|
| MD5 | 0d2c5b2ff2ec91d526010a0d1954b880 |
|
| BLAKE2b-256 | ca0297b55e3d43770b32952318e6feb6dd5a1bba4e1da65eb1ed9c2889633578 |
