Desenvolvimento duma aplicação para smart cities
Oliveira, Hugo
2016
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With the universal use of mobile computing devices, there has been a notable increasein the number of mobile applications developed for educational purposes. Gamification strategiesoffer a new set of tools to educators and, combined with the location services provided by thosedevices, allow the creation of innovative location-based mobile learning experiences. In this literaturereview, we conduct an analysis of educational mobile location-based games. The review includesarticles published from January of 2010 to October of 2020, and from 127 records screened, 26 articleswere analysed in full-text form. This analysis allowed us to answer the following six predefinedresearch questions: Who are the target audiences for location-based games? In which subjects arelocation-based games most used? Which strategies are implemented with mobile devices to improvethe student’s learning process? What are the main impacts of location-based games on students’learning? What are the main challenges to the development of location-based games for education?What future tendencies and research opportunities can be identified from the analysis of the currentstate of the art?
“This is a post-peer-review, pre-copyedit version of an article published in Information Technology & Tourism. The final authenticated version is available online at: https://doi.org/10.1007/s40558-018-0110-2”.
Recent years have seen an increasing realization of the importance and potential of accessible tourism. To support it, the ICT industries have provided many different applications, especially for mobile computing frameworks. An analysis of these applications allows us to identify some issues that are not yet fully addressed. These include the absence of collaborative features; the lack of involvement of all stakeholders; the inexistence of synergies; the lack of widely accessible geographic databases and the limited scope of focus within the disability range. To tackle some of these issues, we propose a common framework for development of tourism accessible related applications. This framework stores and manages tourism information and makes this information available to be used by mobile applications developers through specific web services. This approach can represent an important contribution to accessible tourism, by decreasing the cost and facilitating the development of new applications supporting new products and services.
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“© © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”
Pressure ulcers are associated with significant morbidity, resulting in a decreased quality of life for the patient, and contributing to healthcare professional burnout, as well as an increase of health service costs. Their prompt diagnosis and treatment are important, and several studies have proposed solutions to help healthcare professionals in this process. This work analyzes studies that use machine-learning algorithms for risk assessment and management of preventive treatments for pressure ulcers. More specifically, it focuses on the use of machine-learning algorithms that combine information from intrinsic and extrinsic pressure-ulcer predisposing factors to produce recommendations/alerts to healthcare professionals. The review includes articles published from January 2010 to June 2021. From 60 records screened, seven articles were analyzed in full-text form. The results show that most of the proposed algorithms do not use information related to both intrinsic and extrinsic predisposing factors and that many of the approaches separately address one of the following three components: data acquisition; data analysis, and production of complementary support to well-informed clinical decision-making. Additionally, only a few studies describe in detail the outputs of the algorithm, such as alerts and recommendations, without assessing their impacts on healthcare professionals’ activities
Pressure ulcers are a critical issue not only for patients, decreasing their quality of life, but also for healthcare professionals, contributing to burnout from continuous monitoring, with a consequent increase in healthcare costs. Due to the relevance of this problem, many hardware and software approaches have been proposed to ameliorate some aspects of pressure ulcer prevention and monitoring. In this article, we focus on reviewing solutions that use sensor-based data, possibly in combination with other intrinsic or extrinsic information, processed by some form of intelligent algorithm, to provide healthcare professionals with knowledge that improves the decision-making process when dealing with a patient at risk of developing pressure ulcers. We used a systematic approach to select 21 studies that were thoroughly reviewed and summarized, considering which sensors and algorithms were used, the most relevant data features, the recommendations provided, and the results obtained after deployment. This review allowed us not only to describe the state of the art regarding the previous items, but also to identify the three main stages where intelligent algorithms can bring meaningful improvement to pressure ulcer prevention and mitigation. Finally, as a result of this review and following discussion, we drew guidelines for a general architecture of an intelligent pressure ulcer prevention system.
Dissertação apresentada à Escola Superior de Tecnologia do Instituto Politécnico de Castelo Branco para a obtenção do grau de Mestre em Desenvolvimento de Software e Sistemas Interativos
Pressure ulcers are a critical issue for patients and healthcare professionals, requiring their frequent monitoring, with a consequent impact on healthcare costs. This problem has been gaining attention and approaches have been proposed, using sensor-based systems, to facilitate this monitoring and help health caregivers to achieve greater effectiveness in the treatment of this type of ulcer. In this paper, the architecture, and the prototype of a new system for pressure ulcer monitoring and prevention are presented. It considers information related to both intrinsic and extrinsic predisposing factors and it addresses the components of data acquisition, data analysis, and production of complementary support to well-informed clinical decision-making. The system includes a pressure ulcer management portal and a mobile application, that allows caregivers to manage clinical information about pressure ulcers of the patients and uses data acquired from a pressure sensor sheet under the mattress to provide useful information for monitoring the patients. Considering the situation of each patient, the system will produce indicators/alerts to healthcare professionals, simultaneously improving pressure-ulcer patient care quality and safety and minimizing the burnout in healthcare professionals.
Pressure ulcers are skin injuries that develop mainly over bony areas as the result of prolonged pressure caused by the immo- bility of bedridden patients. They constitute not only a source of additional suffering for these patients but also contribute to the burnout of healthcare professionals who must maintain continuous monitoring of these patients. Data from countries such as the UK or the USA allows the cost of this problem to be estimated to be, respectively, near £2 billion and $80 billion. In this article, we describe the SensoMatt approach to pressure ulcer prevention and management, which is being developed as a research project that includes partners from industry, healthcare, and academia. The SensoMatt solution is centered on a pressure sheet that is placed under the patient’s mattress, complemented by an online management portal and a mobile app. These provide patients and healthcare providers with an unparalleled set of services that include personalized analysis, prevention warnings and recommendations.
