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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Exploiting IoT technologies for enhancing Health Smart Homes through patient identification and emotion recognition

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Author(s):
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Mano, Leandro Y. [1] ; Faical, Bruno S. [1] ; Nakamura, Luis H. V. [1, 2] ; Gomes, Pedro H. [3] ; Libralon, Giampaolo L. [2] ; Meneguete, Rodolfo I. [2] ; Filho, Geraldo P. R. [1] ; Giancristofaro, Gabriel T. [1] ; Pessin, Gustavo [4] ; Krishnamachari, Bhaskar [3] ; Ueyama, Jo [1, 3]
Total Authors: 11
Affiliation:
[1] Univ Sao Paulo, Sao Paulo - Brazil
[2] IFSP, Sao Paulo - Brazil
[3] Univ So Calif, Los Angeles, CA - USA
[4] Vale Inst Technol, Belem, Para - Brazil
Total Affiliations: 4
Document type: Journal article
Source: COMPUTER COMMUNICATIONS; v. 89-90, p. 178-190, SEP 1 2016.
Web of Science Citations: 31
Abstract

Currently, there is an increasing number of patients that are treated in-home, mainly in countries such as Japan, USA and Europe. As well as this, the number of elderly people has increased significantly in the last 15 years and these people are often treated in-home and at times enter into a critical situation that may require help (e.g. when facing an accident, or becoming depressed). Advances in ubiquitous computing and the Internet of Things (IoT) have provided efficient and cheap equipments that include wireless communication and cameras, such as smartphones or embedded devices like Raspberry Pi. Embedded computing enables the deployment of Health Smart Homes (HSH) that can enhance in-home medical treatment. The use of camera and image processing on IoT is still an application that has not been fully explored in the literature, especially in the context of HSH. Although use of images has been widely exploited to address issues such as safety and surveillance in the house, they have been little employed to assist patients and/or elderly people as part of the home-care systems. In our view, these images can help nurses or caregivers to assist patients in need of timely help, and the implementation of this application can be extremely easy and cheap when aided by IoT technologies. This article discusses the use of patient images and emotional detection to assist patients and elderly people within an in-home healthcare context We also discuss the existing literature and show that most of the studies in this area do not make use of images for the purpose of monitoring patients. In addition, there are few studies that take into account the patient's emotional state, which is crucial for them to be able to recover from a disease. Finally, we outline our prototype which runs on multiple computing platforms and show results that demonstrate the feasibility of our approach. (C) 2016 Elsevier B.V. All rights reserved. (AU)

FAPESP's process: 14/10685-3 - FlexPersuade: exploring a flexible approach in persuasive applications: a case study with music players
Grantee:Leandro Yukio Mano Alves
Support type: Scholarships in Brazil - Master
FAPESP's process: 14/19076-0 - Providing Smarer Wireless Sensor Networks and UAVs: A Study in the Autonomous Networks Laboratory at USC
Grantee:Jó Ueyama
Support type: Scholarships abroad - Research
FAPESP's process: 13/18859-8 - Using computational intelligence and UAVs to reduce drift on the application of pesticides
Grantee:Bruno Squizato Faiçal
Support type: Scholarships in Brazil - Doctorate
FAPESP's process: 14/06330-5 - An approach of intelligent decision for an infrastructure distributed home automation using wireless sensors and actuators
Grantee:Geraldo Pereira Rocha Filho
Support type: Scholarships in Brazil - Doctorate