Title of article :
A novel integrated mechanomyogram-vocalization access solution
Author/Authors :
Alves، نويسنده , , Natasha and Falk، نويسنده , , Tiago H. and Chau، نويسنده , , Tom، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Abstract :
We introduce a novel dual-switch control paradigm based on the simultaneous measurement of frontalis muscle mechanomyography (MMG) and vocalizations (humming) using a single contact microphone attached to the forehead. Vibrations of the face and skull during vocalization are manifested as periodic high-frequency components in the microphone signal recorded at the forehead. The presence of these periodic components is detected by a normalized cross-correlation function, while muscle contractions are detected using a continuous wavelet transform method. The dual-switch provides two independent binary control signals. Eleven participants, including one individual with severe physical disabilities, participated in a cued activation task in which the dual-switch exhibited sensitivities and specificities of 96.8 ± 3% and 98.4 ± 1%, respectively for vocalizations, and 99.7 ± 0.5% and 99.2 ± 0.5%, respectively for muscle contractions. Since skin vibrations due to voiced sounds and muscle contractions have non-overlapping dominant bandwidths, the performance of the MMG switch was not affected by vocalizations. This new integrated MMG-vocalization access solution affords the user two binary switches from a single access site, and may thus augment access alternatives for certain individuals with severe physical disabilities.
Keywords :
Rehabilitation engineering , Signal Processing , Access technology , Eyebrow switch , Mechanomyogram , Non-verbal vocalizations , Multiple switches , disability , Muscle activity , Silent speech interfaces
Journal title :
Medical Engineering and Physics
Journal title :
Medical Engineering and Physics