Sound Lounge
Format
SOECS Senior Project Demonstration
Faculty Mentor Name
Huihui Xu
Faculty Mentor Department
Bioengineering
Additional Faculty Mentor Name
Shelly Gulati
Additional Faculty Mentor Name
Jeff Burmeister, Robert Hanyak, and Kenneth Hughes
Abstract/Artist Statement
Hearing loss is a common health problem in the United States. Most school districts require routine screening for hearing impairments in adolescent children using an audiometer, which is a common screening device in audiology clinics used to evaluate hearing loss. However, in most developing countries, practical screening procedures do not exist due to the lack of funding and resources. The goal of this project is to develop a device that functions comparably to an audiometer but is more cost efficient and easily accessible. This project is composed of three major modules: Raspberry Pi based software development for user interface, a modified headphone, and other auxiliary hardware components. The software will be coded using the language Python to perform the audiometric test with the basic functions of differentiating frequencies and volume into separate ears at different times. Earmuffs will be added to the headphone for noise reduction. Other hardware of the system includes the housing of the physical device, dials, switches, and a LCD screen, which will be able to display which ear is being tested and at which frequency and volume. An audiogram is expected to be produced after the audiometric test is performed to create a visual representation of the data collected throughout the test.
Location
School of Engineering & Computer Science
Start Date
2-5-2015 2:30 PM
End Date
2-5-2015 4:30 PM
Sound Lounge
School of Engineering & Computer Science
Hearing loss is a common health problem in the United States. Most school districts require routine screening for hearing impairments in adolescent children using an audiometer, which is a common screening device in audiology clinics used to evaluate hearing loss. However, in most developing countries, practical screening procedures do not exist due to the lack of funding and resources. The goal of this project is to develop a device that functions comparably to an audiometer but is more cost efficient and easily accessible. This project is composed of three major modules: Raspberry Pi based software development for user interface, a modified headphone, and other auxiliary hardware components. The software will be coded using the language Python to perform the audiometric test with the basic functions of differentiating frequencies and volume into separate ears at different times. Earmuffs will be added to the headphone for noise reduction. Other hardware of the system includes the housing of the physical device, dials, switches, and a LCD screen, which will be able to display which ear is being tested and at which frequency and volume. An audiogram is expected to be produced after the audiometric test is performed to create a visual representation of the data collected throughout the test.