Signal Processing and Speech Communication Laboratory
homestudent projects › Using sEMG for Disordered Speech Enhancement IV -- Myo Gesture Control Armband

Using sEMG for Disordered Speech Enhancement IV -- Myo Gesture Control Armband

Status
Finished
Type
Master/Diploma Thesis
Seminar Type
- None -
Announcement date
10 Mar 2015
Student
Klaus Huber
Mentors
Research Areas

Short description

The electro-larynx, a device to re-obtain speech for people without a larynx, suffers from the fact that one hand is needed to operate the device.

In previous work we used surface electromyography (sEMG) to detect activity of the muscles at the neck. The smoothed envelope of the sEMG signal together with a simple threshold technique is used to turn the EL device on and off in an automatic way.

In this project we want to use the commercially available hardware Myo Gesture Control Armband from ThalmicLabs to detect EMG signals at the forearm instead of the neck. Your task is to write a smart phone application for on/off control of the EL device using the Myo armband.

Your Tasks

  • Review of literature
  • Implementation of on/off gestures on an android platform
  • Documentation

Your Profile/Prerequisites

  • Motivation and interest in the topic
  • Background information in Matlab and (speech) signal processing
  • Previous programming experience on a smart phone is a plus

Contact:

Martin Hagmüller ({hagmueller}@tugraz.at or 0316/873 4377) Anna Katharina Fuchs ({anna.fuchs}@tugraz.at or 0316/873 4367)