We are looking for some help to develop open source code for this project 

We aim to develop an open-source platform for muscular activity signal detection —recorded non-invasively on the skins surface— and using that for exoskeleton control.  

The muscle signals will be recorded using the Myo Armband and processing/exoskeleton control will take place on a Raspberry Pi. The goal is to detect 2 to 5 patterns from myo signals using machine learning / pattern recognition methods.

Many open-source libraries are available and can be used in the project subject to minor modifications. Guidance and support will be provided.

Here is a Wiki that we have for this project https://sites.google.com/site/ourkidscandoanything/. 

We already have a working model for this, but it is using proprietary software, We now need to develop this software as open source so that we can freely share it. 


Required skills

• Python programming
• Basic Bluetooth communication principles
• Basic signal processing (i.e. filtering, sliding window processing)
• Basic machine learning / pattern recognition (e.g. classification using the sklearn library)
• Raspberry Pi (& Linux operating system)
• Version Control (e.g. Git/Github)

Breakdown of work

• Set-up myo communication (using off-the-shelf library).
• EMG signal processing (using library developed by Agamemnon: https://github.com/agamemnonc/pyEMG )
• Develop training module (using code by Agamemnon: https://github.com/agamemnonc/pyEMG )
• Develop real-time control module (using code by Agamemnon: https://github.com/agamemnonc/pyEMG )
• Testing and debugging
• Final application development