1. A Smart Nocturnal Environment Monitoring System for the Hearing Impaired
- Author
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Johannes Leopold, James Uhomoibhi, Philip A. Catherwood, John B. Finlay, Matthew Kane, Michael Jennings, and Stefan Greppmair
- Subjects
medicine.medical_specialty ,Profound deafness ,Hearing loss ,otorhinolaryngologic diseases ,medicine ,Hearing impaired ,Monitoring system ,Sleep (system call) ,Audiology ,medicine.symptom ,Psychology - Abstract
This paper presents a novel machine learning prototype to actively assist hearing-impaired people during sleeping hours. The prototype can learn ambient sounds and intelligently decide if they are indicative of dangerous situations such as warning alarms, or if they are merely unimportant background sounds. The application is targeted towards the hearing-impaired who will have removed hearing aids or external components of cochlear implants before sleep. Any sounds of importance can then be translated into vibrations to awaken the sleeping hearing impaired user. The system is suggestive of future smart interactive machines to assist and protect those with either hearing loss or profound deafness.
- Published
- 2018