Advanced search
Start date
Betweenand
Related content

Exploiting “The Internet of Things with artificial intelligence ín “The context of health smart homes: a physical ánd emotional approach

Grant number: 16/14267-7
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): January 01, 2017
Effective date (End): September 30, 2019
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
Principal Investigator:Jó Ueyama
Grantee:Leandro Yukio Mano Alves
Home Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Associated research grant:13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry, AP.CEPID
Associated scholarship(s):17/21054-2 - Combining Intelligence Artificial and Multimodal for Emotion Classification, BE.EP.DR

Abstract

Owing to a growth in the number of elderly people and those with physical/mental impairments, there has been a comparable increase of studies in the area of Internet of Things (IoT) that seek to monitor health, give assistance to management and enhance the quality of life for this sector of society. For this reason, the aim of an IoT-based approach when adopted in medical environments and smart homes is to provide connectivity between the patients and their surroundings by offering mechanisms to assist in the investigation and prevention of accidents and/or diseases. This gives rise to an opportunity to exploit computational systems to determine the physical and emotional state in real time, of people with some kind of handicap so as to monitor their health. This might involve discovering the behavioral pattern of the users' routine and issuing alerts to the families and/or medical teams with regard to some abnormal event or noting the first signs of the onset of a depression. On the basis of artificial intelligence, it is also possible to enable computing systems to "learn" and be adapted to the situation they are in, for example by learning and adapting themselves to the number of exercises and/or emotional states of the users, in particular circumstances that combine concepts of both IoT and Artificial Intelligence. Thus the purpose of this project is to devise and evaluate a model that can: i.) find out the emotional and physical state of the users; ii.) provide a mechanism that can monitor the everyday activities of the users in an intelligent manner; iii.) take advantage of a flexible approach through the use of IoT sensors; and iv.) provide particular and detailed information about the users through a wide range of solutions where their behavioral patterns are analyzed in a distinct and uniform manner , by allowing a better kind of interaction between the computing devices in the Health Smart Homes (HSH) environment.

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
MANO, LEANDRO Y.; BARROS, VINICIUS A.; NUNES, LUIZ H.; SAWADA, LUANA O.; ESTRELLA, JULIO C.; UEYAMA, JO. ENLACE: A Combination of Layer-Based Architecture and Wireless Communication for Emotion Monitoring in Healthcare. MOBILE INFORMATION SYSTEMS, v. 2019, JUL 10 2019. Web of Science Citations: 1.
MANO, LEANDRO Y.; MAZZO, ALESSANDRA; NETO, JOSE R. T.; MESKA, MATEUS H. G.; GIANCRISTOFARO, GABRIEL T.; UEYAMA, JO; JUNIOR, GERSON A. P. Using emotion recognition to assess simulation-based learning. NURSE EDUCATION IN PRACTICE, v. 36, p. 13-19, MAR 2019. Web of Science Citations: 0.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.

Filed patent(s) as a result of this research project

Solicitação em análise e dentro do prazo legal de sigilo previsto na legislação BR1020180161610 - Universidade de São Paulo (USP) . Solicitação em análise e dentro do prazo legal de sigilo previsto na legislação - August 2018, 07