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Audiology and Speech Research > Volume 13(4); 2017 > Article
Audiology and Speech Research 2017;13(4): 287-294.
Published online: October 31, 2017.
doi: http://doi.org/10.21848/asr.2017.13.4.287
누적 청취 음량 측정을 위한 스마트폰 어플리케이션의 개발
신지훈1, 김기쁨2, 한우재3, 송창근4
1한림대학교 일반대학원 융합소프트웨어학과
2한림대학교 일반대학원 언어병리청각학과
3한림대학교 자연과학대학 언어청각학부·청각언어연구소
4한림대학교 정보전자공과대학 융합소프트웨어학과
Development of Smartphone Application to Measure Accumulated Sound Pressure Levels
Jihun Shin1, Gibbeum Kim2, Woojae Han3, Changgeun Song4
1Department of Convergence Software, Graduate School, Hallym University, Chuncheon, Korea
2Department of Speech Pathology and Audiology, Graduate School, Hallym University, Chuncheon, Korea
3Division of Speech Pathology and Audiology, Research Institute of Audiology and Speech Pathology, College of Natural Sciences, Hallym University, Chuncheon, Korea
4Department of Convergence Software, College of Information and Electronic Engineering, Hallym University, Chuncheon, Korea
Correspondence  Changgeun Song ,Tel: +82-33-248-2317, Fax: +82-33-242-2524, Email: cgsong@hallym.ac.kr
Received: September 19, 2017; Revised: September 30, 2017   Accepted: October 11, 2017.  Published online: October 31, 2017.
Although it is acknowledged that abuse of portable listening devices such as high level of volume and long duration possibly occurs noise-induced hearing loss to young adults, there is no tool to accurately measure their levels and time duration. The present study aimed to develop a smartphone application which estimated user’s volume levels, the accumulated levels, and exposure time when he/she listened to music.
The application which mainly consisting of service and activity was developed for Android users. Service function worked for measurement and transmission of data in the back, whereas the activity function with main activity and fragment took charge of various screen displays in the front. In addition, all data of application users was sent to a server system having Apache, Hypertext Preprocessor, My Structured Query Language and saved in real time. Finally, accuracy and reliability of the application was proved by using sound level meter and artificial ear simulator system.
The developed application had measurement image and data image. For the measurement image, image bar, option bar, graph view, text view, and seek bar were displayed during the listening to music. Data image presented four graphical views by time, daily, weekly and monthly and a calendar view with three different color codes. All data was saved at every five seconds in the main server system.
Although preliminary data was run by three subjects to fully confirm any component for malfunction of the application, no problem was found. If applying further clinical study with a large size of participants, we expect that the application will be very helpful for the users to prevent themselves from hearing insult induced by high levels of music and long exposure time.
Key Words: Smartphone application, Sound pressure levels, Earphone, Noise-induced hearing loss, Android.
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