LibEMG - Myoelectric Control Library

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI

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

Meta

Author: Ethan Eddy, Evan Campbell, Angkoon Phinyomark, Scott Bateman, and Erik Scheme

Tags emg, myoelectric_control, pattern_recognition, muscle-based input

Classifiers

Project description

LibEMG

The goal of this library is to provide an easy to use and feature-rich API for developing robust real-time EMG-based interactions, and performing thorough offline analysis.

Authors: Ethan Eddy, Evan Campbell, Angkoon Phinyomark, Scott Bateman, and Erik Scheme

Documentation

All documentation can be found at: Library Documentation

Install

pip install libemg

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI

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

Meta

Author: Ethan Eddy, Evan Campbell, Angkoon Phinyomark, Scott Bateman, and Erik Scheme

Tags emg, myoelectric_control, pattern_recognition, muscle-based input

Classifiers

Release history Release notifications | RSS feed

0.0.4

0.0.3

0.0.2

This version

0.0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

libemg-0.0.1.tar.gz (185.8 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page