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2020-02-29 - Article/Dans un journal avec peer-review - Anglais - 9 page(s)

Yvanoff-Frenchin C., Ramos Gomes Da Silva Vitor , Belabed Tarek , Valderrama Carlos , "Edge Computing Robot Interface for Automatic Elderly Mental Health Care Based on Voice" in MDPI, 9, 3, 419, https://doi.org/10.3390/electronics9030419

  • Codes CREF : Sciences de l'ingénieur (DI2000), Techniques d'imagerie et traitement d'images (DI2770), Technologies de l'information et de la communication (TIC) (DI4730), Semi-conducteurs (DI2512), Electronique et électrotechnique (DI2411), Instrumentation médicale (DI2760), Conception assistée par ordinateur (DI1247), Electronique générale (DI2510), Electricité (DI1230)
  • Unités de recherche UMONS : Electronique et Microélectronique (F109)
  • Instituts UMONS : Institut de Recherche en Technologies de l’Information et Sciences de l’Informatique (InforTech), Institut NUMEDIART pour les Technologies des Arts Numériques (Numédiart)
  • Centres UMONS : Centre de Recherche en Technologie de l’Information (CRTI)
Texte intégral :

Abstract(s) :

(Anglais) We need open platforms driven by specialists, in which queries can be created and collected for long periods and the diagnosis made based on a rigorous clinical follow-up. In this work, we developed a multi-language robot interface helping to evaluate the mental health of seniors by interacting through questions. Through the voice interface, the specialist can propose questions, as well as receive users’ answers, in text form. The robot can automatically interact with the user using the appropriate language. It can process the answers and under the guidance of a specialist, questions and answers can be oriented towards the desired therapy direction. The prototype was implemented on an embedded device meant for edge computing, thus it was able to filter environmental noise and can be placed anywhere at home. The proposed platform allows the integration of well-known open source and commercial data flow processing frameworks. The experience is now available for specialists to create queries and answers through a Web-based interface.

Identifiants :
  • DOI : 10.3390/electronics9030419

Mots-clés :
  • (Anglais) artificial intelligence
  • (Anglais) voice-enabled techniques
  • (Anglais) embedded systems
  • (Anglais) mental health care
  • (Anglais) edge computing