FABLE – Electromyographic Pattern Recognition for Prosthetic Hand

Source: http://www.openbiomedical.org/

FABLE (Fingers Activated By Low-cost Electronics) is an open-source project for an electromechanical 3D-printed hand. Through the acquisition of signals generated by the muscles myoelectric contraction next to the elbow, it will determine precise finger movements.

A main challenge for the deployment of FABLE in free-living is how to efficiently monitor the muscular activity for temporal pattern analysis and classification. ‘Interesting’ patterns are spaced-out by a big amount of ‘uninteresting’ ones. Spotting of highly temporally sparse patterns is still a challenge for the state-of-the-art machine learning techniques.

The main tasks will be:

  • Experimental method design and data collection
  • Pattern recognition algorithm design
  • Method validation via machine learning
Project type Bachelor/Master Thesis
Work distribution 25% Data Collection, 75% Data Analysis
Useful knowledge Signal Processing, Machine learning
Starting date Immediate

Contact

Giovanni Schiboni

Friedrich-Alexander-Universität Erlangen-Nürnberg