Publicación

Tipo de publicación: Artículos científicos (Publicados en revistas de divulgación o científicas)

Título del artículo: Towards an intelligent personal assistant for hearing impaired people

Registrado por: Journal of Intelligent & Fuzzy Systems

Año de publicación: 2022

Resumen: This work has been focused on the part of the population with hearing impairment who owns a dog and that worries
about not listening the dog barks, specially when a risky situation is taking place at home. A survey was carried out on people
with deafness problems to find out hazard situations which they are exposed at home. A system prototype was developed to be
integrated as a component of ambient intelligence (AmI) for ambient assisted living (AAL) that serves to Hearing Impaired
People (HIP). The prototype detects dog barks and notifies users through both a smart mobile app and a visual feedback. It
consists of a connection between a Raspberry Pi 3 card and a ReSpeaker Mic Array v2.0 microphone array; a communication
module with a smartphone was implemented, which displays written messages or vibrations when receiving notifications.
The cylinder-shaped device was designed by the authors and sent it to 3D print with a resin material. The prototype recognized
the barking efficiently by using a machine learning model based on Support Vector Machine technique. The prototype was
tested with deaf people which were satisfied with precision, signal intensity, and activation of lights.

Editorial:

Número de páginas:

Autor(es): Taku Utsuki-Alexander, Jorge Rios-Martinez,Francisco A. Madera

Campo: Tecnología

Disciplina: Computación

Subdisciplina: Machine Learning

Número de registro: Journal of Intelligent & Fuzzy Systems 42 (2022) 4315–4326 DOI:10.3233/JIFS-219222 IOS Press