Mobile follow-up system for elderly and disabled people

Vera, Pablo; Carrau, Mariano Kaimakamian; Rodríguez, Rocío Andrea

doi:10.1109/cacidi.2018.8584361

Cited by 6 publications

(3 citation statements)

References 10 publications

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“…Note that one paper may belong to more than one class or category. For example, the paper proposed by [31] was classified as Interventions for Clients, because it presents an app for elderly care and follow-up, and as Interventions for Data Services, because it deals with data collection of sensors.…”

Section: Srq1: Dhi Classificationmentioning

confidence: 99%

Mobile applications for elderly healthcare: A systematic mapping

et al. 2020

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Context The increase in the population aging has brought more significant concern about how proper care will be provided to the elderly in the future. Thus, the development of technological solutions for the health domain has gained more prominence. Joining this scenario to the growing use of mobile devices for daily activities, several mobile applications focused on the elderly healthcare have been developed with healthcare and software engineer professionals involved. However, there is no survey to help both professionals to take decisions on the target of application, elderly profile, empirical validation techniques, among others. Thus, the following question arises: how have mobile applications for elderly healthcare been addressed in the literature in the past years? Objective To identify the state of the art in the literature concerned with the development of mobile applications for elderly healthcare, considering healthcare and software Engineering viewpoints. Method We performed a systematic mapping conducted by health and software engineering researchers to provide an interdisciplinary investigation of the papers that address mobile applications for elderly healthcare, summarizing the data collected under the following classification: target of application, older adult profile, spatial-temporal distribution, techniques for empirical validation and type of software engineering research. Results We found a total of 2533 papers and, after applying our eligibility criteria, we got 149. We observed aspects related to the digital health initiative type, using the classification proposed by the World Health Organization (WHO), the elderly profile prioritized by the application, the spatial-temporal distribution of the studies, the empirical validation type, and the research contribution of each analyzed paper to the software engineering area. Conclusions Regarding the WHO classification, we noticed that two categories were more frequently found, Clients and Data Services, and that none of the mobile apps were classified in the Health System Manager category. The data extraction result also reveals that most of the applications found in the literature focused on the independent elderly. Moreover, we observed that most of the studies were proposals of solutions for elderly health and the validation process of these solutions generally consisted of controlled experiments and usability evaluations. At last, the research focused on mobile applications for elderly healthcare has been performed mostly by developed countries.

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Section: Srq1: Dhi Classificationmentioning

confidence: 99%

Mobile applications for elderly healthcare: A systematic mapping

et al. 2020

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“…Se desarrolla una aplicación que integra distintos sensores que posibilitan monitorear a un usuario, inicialmente fue desarrollada para teléfonos celulares con Android (los prototipos iniciales con sus pantallas traducidas a inglés fueron presentados en un congreso del IEEE (Vera, Kaimakamian Carrau, Rodríguez, 2018) y luego migrada a Wear OS para ser utilizada desde un smartwatch. La conveniencia de su migración es que resulta más transparente, al usuario además las tecnologías vestibles como lo son el smartwatch aseguran que siempre tendrán consigo el dispositivo en este caso el reloj, por el contario un teléfono celular podría ser apoyado sobre una mesa mientras la persona se desplaza.…”

Section: Utilización De Diversos Sensoresunclassified

Experiencias en el Desarrollo de Aplicaciones Móviles con Interfaces basadas en la Interacción Física

Vera

Rodríguez

Carrau

2020

recibe

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El hardware de los dispositivos permite desarrollar aplicaciones más complejas que aprovechen los sensores de los mismos en beneficio de sus usuarios. Este artículo presenta diversas aplicaciones desarrolladas basadas en el uso de uno o más sensores disponibles, abriendo un panorama amplio a nuevas maneras de interactuar con los dispositivos. Las interfaces físicas permiten interactuar de forma más natural e intuitiva, moviendo, girando o simplemente apoyando el dispositivo sobre una superficie. Se podrá evidenciar como los desarrollos realizados proponen nuevas formas de interacción.

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“…people Nesse estudo elaborado por Vera et al [19],é apresentado o Vigía um aplicativo com o objetivo de monitorar as atividades de pessoas que exigem observação constante e que não podem receber a atenção necessária. O aplicativo foi projetado visando a melhoria do monitoramento de PcDIs que moram sozinhas.…”

Section: Mobile Follow-up System For Elderly and Disabledunclassified

SafeFollowing: A collaborative model for public security agents to assist people with disabilities and the elderly

Matos¹,

Matter²,

Viegas³

et al. 2019

RITA

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In the last survey about the Brazilian population conducted by IBGE, more than 45.6 million of Brazilians declared that they have some kind of disability. Besides that, the same survey revealed that the number of elderly people has been increasing over the years and at that time it already represented 12.1 \% of the total. In this scenario, public policies that can efficiently ensure the rights of this share of the population became even more necessary. In the same manner, with the popularization of mobile devices, opportunities to develop new solutions are arising, offering more independence and quality of life to them. Ubiquitous accessibility support solutions have been proposed, such as the MASC model, which resorts to the concept of smart assistive city; and more recently the AccompCare, which predicts the monitoring of people with disabilities and the elderly. This article proposes the SafeFollowing, a model that enables integrated and collaborative acting of the community aiming to assist people with some kind of disability or elderly people. The SafeFollowing predicts the use of police cars mapping, in order to provide a specific follow-up in adverse daily situations. The validation of the model is also presented in the article, which was performed through experiments in real test scenarios.

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Mobile follow-up system for elderly and disabled people

Cited by 6 publications

References 10 publications

Mobile applications for elderly healthcare: A systematic mapping

Mobile applications for elderly healthcare: A systematic mapping

Experiencias en el Desarrollo de Aplicaciones Móviles con Interfaces basadas en la Interacción Física

SafeFollowing: A collaborative model for public security agents to assist people with disabilities and the elderly

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