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We are constantly surrounded by an abundance of acoustic energy, whether from speech, music, or environmental noise. If captured, these acoustic waves can provide a wealth of information about a person and their surroundings, and be leveraged for multiple applications. Many sensors available today have an acoustic impedance that is much different from the media being monitored, which results in lowered energy density at the transducer element and interference from other sound sources. Working with Dr. James West at Johns Hopkins University, my thesis work has focused on developing and characterizing flexible, impedance-matched acoustic sensors, especially for use on the human body.
Recordings with the original prototype of the impedance-matched sensor for voice, heart sounds, and guitar. Background music is played at a certain level as recorded by the sound level meter. Although the background noise is evident in the recordings made with the ambient microphone, the impedance-matched sensor captures very little of this background noise.
Study and visualize data using programs such as Matlab and R
Systematically plan experiments with attention to reliability and replicability using JMP
Fabricate & characterize electrets with techniques like electrospinning & corona charging
Prepare publications and presentations for wide range of audiences
Process and extract features from audio signals
Manage multiple collaborations; plan and organize events
E-mail vrennoll@gmail.com with questions
Cover photo credit: Will Kirk
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