Nuno Garcia

Nuno Garcia
Universidade da Beira Interior | UBI · Department of Computer Science

PhD

About

256
Publications
112,863
Reads
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2,082
Citations
Introduction
Vice-Dean of the Faculty of Engineering and Assistant Professor at the University of Beira Interior (Portugal) and Invited Associate Professor at the Universidade Lusófona de Humanidades e Tecnologias (Portugal). Researcher at the Instituto de Telecomunicações (Portugal). Member of the COST Actions IC1303 and IC1003. Main research interests: Ambient Assisted Living, Architectures, Algorithms and Platforms for Enhanced Living Environments.
Additional affiliations
November 2008 - present
Institute of Telecommunications
Position
  • Researcher
February 2008 - present
Universidade Lusófona de Humanidades e Tecnologias
Position
  • Invited Associate Professor
July 2004 - December 2007
Nokia
Position
  • Researcher (Reserach Team Leader)
Education
July 2004 - November 2008

Publications

Publications (256)
Article
Full-text available
Rehabilitation aims to increase the independence and physical function after injury, surgery, or other trauma, so that patients can recover to their previous ability as much as possible. To be able to measure the degree of recovery and impact of the treatment, various functional performance tests are used. The Eight Hop Test is a hop exercise that...
Article
Full-text available
The dataset presented in this paper presents a dataset related to three motionless activities, including driving, watching TV, and sleeping. During these activities, the mobile device may be positioned in different locations, including the pants pockets, in a wristband, over the bedside table, on a table, inside the car, or on other furniture, for...
Article
Full-text available
Sign languages are critical in conveying meaning by the use of a visual-manual modality and are the primary means of communication of the deaf and hard of hearing with their family members and with the society. With the advances in computer graphics, computer vision, neural networks, and the introduction of new powerful hardware, the research into...
Article
The provision of health care is an area that is excessively dependent on the access, processing, analysis, sharing, and storage of data between different stakeholders. Consequently, cloud computing has been adopted in the most diverse areas (e.g., telemedicine, information management, bioinformatics) as a promising model in responding to this need,...
Article
Full-text available
The botnet attack is a multi-stage and the most prevalent cyber-attack in the Internet of Things (IoT) environment that initiates with scanning activity and ends at the distributed denial of service (DDoS) attack. The existing studies mostly focus on detecting botnet attacks after the IoT devices get compromised, and start performing the DDoS attac...
Article
Full-text available
Recently, localization accuracy of unknown nodes has become a critical and challenging issue for many Wireless Sensor Networks (WSNs) and Internet of Things (IoT) applications. Without associating the detected event with its precise geographic location will be surely considered meaningless for these applications. Among all localization algorithms,...
Article
Full-text available
Medicine is heading towards personalized care based on individual situations and conditions. With smartphones and increasingly miniaturized wearable devices, the sensors available on these devices can perform long-term continuous monitoring of several user health-related parameters, making them a powerful tool for a new medicine approach for these...
Conference Paper
Full-text available
Caffeine is one of the most consumed drugs that affect humans' health. The relation between the effects of coffee drinking and Electroencephalography (EEG) data are being studied, where the high coffee consumption can cause risk of seizure resistant focal epilepsy, attention and working memory, executive function, short-term memory recall task and...
Article
Full-text available
World-wide statistics show a considerable growth of the occurrence of different types of Diabetes Mellitus, posing diverse challenges at many levels for public health policies. Some of these challenges may be addressed by means of computerised systems which may pave the way to provide practitioners with insight on their patient’s conditions anywher...
Chapter
Teenagers are mainly sedentary with the use of technological devices. However, technological devices may be part of recreational activities to challenge people to achieve better results. This paper described the acquisition of accelerometer data from mobile devices and BioPlux devices, measuring the correct jump flight time with the help of a press...
Article
Full-text available
It is every parent’s wish to protect their children from online pornography, cyber bullying and cyber predators. Several existing approaches analyze a limited amount of information stemming from the interactions of the child with the corresponding online party. Some restrict access to websites based on a blacklist of known forbidden URLs, others at...
Article
Full-text available
Healthcare treatments might benefit from advances in artificial intelligence and technological equipment such as smartphones and smartwatches. The presence of cameras in these devices with increasingly robust and precise pattern recognition techniques can facilitate the estimation of the wound area and other telemedicine measurements. Currently, te...
Article
Full-text available
Connected health is expected to introduce an improvement in providing healthcare and doctor-patient communication while at the same time reducing cost. Connected health would introduce an even more significant gap between healthcare quality for urban areas with physical proximity and better communication to providers and the portion of rural areas...
Article
Human activity recognition (HAR) is a significant research area due to its wide range of applications in intelligent health systems, security, and entertainment games. Over the past few years, many studies have recognized human daily living activities using different machine learning approaches. However, the performance of a machine learning algori...
Chapter
Nowadays, Coronavirus is the biggest challenge of medicine. This problem is divided into two sectors: health and economy. In relation to health, there has been an alarming exponential rise in deaths, those who do not belong to the risk group are precisely those who contaminate and lead to disease. The economy also bleeds globally, and companies are...
Article
Background and aim Hypoglycaemia prediction play an important role in diabetes management being able to reduce the number of dangerous situations. Thus, it is relevant to present a systematic review on the currently available prediction algorithms and models for hypoglycaemia (or hypoglycemia in US English) prediction. Methods This study aims to s...
Article
Full-text available
The Internet of things (IoT) has emerged as a topic of intense interest among the research and industrial community as it has had a revolutionary impact on human life. The rapid growth of IoT technology has revolutionized human life by inaugurating the concept of smart devices, smart healthcare, smart industry, smart city, smart grid, among others....
Article
Full-text available
Pneumonia caused by COVID-19 is a severe health risk that sometimes leads to fatal outcomes. Due to constraints in medical care systems, technological solutions should be applied to diagnose, monitor, and alert about the disease’s progress for patients receiving care at home. Some sleep disturbances, such as obstructive sleep apnea syndrome, can in...
Article
Full-text available
The widespread use of wearables and the adoption of the Internet of Things (IoT) paradigm provide an opportunity to use mobile-device sensors for medical applications. Sensors available in the commonly used devices may inspire innovative solutions for physiotherapy striving for accurate and early identification of various pathologies. An essential...
Preprint
Full-text available
The network layer is central to the networking scientific area. It is around the network layer that all the data communications develop, and one of its main tasks is to allow the identification of each single interface/machine between the potentially many interfaces in a network. This seminar addresses some of the issues that are usually presented...
Article
Full-text available
In recent years, research in tracking and assessing wound severity using computerized image processing has increased. With the emergence of mobile devices, powerful functionalities and processing capabilities have provided multiple non-invasive wound evaluation opportunities in both clinical and non-clinical settings. With current imaging technolog...
Article
Full-text available
All mobile devices include a microphone that can be used for acoustic data acquisition. This article presents a dataset of acoustic signals related to nine environments, captured with a microphone embedded on off-the-shelf mobile devices. The mobile phone can be placed in the pants pockets, in a wristband, over the bedside table, on a table, or on...
Chapter
Sentiment analysis on social networks plays a prominent role in many applications. The key techniques here are how to identify opinions, to classify sentiment polarity, and to infer emotions. In this study, we proposed a sentence-level sentiment analysis based on a microblogging platform like Twitter. Comprehensive evaluation results on real-world...
Article
Full-text available
Smartphone sensors have often been proposed as pervasive measurement systems to assess mobility in older adults due to their ease of use and low-cost. This study analyzes a smartphone-based application’s validity and reliability to quantify temporal variables during the single sit-to-stand test with institutionalized older adults. Forty older adult...
Chapter
Full-text available
Obesity is one of the most common problem that can be avoid with the correct education of the teenagers. There are different methods, but the use of the mobile devices to promote the creation of social challenges is important, because the teenagers act mainly in groups. The use of questionnaires, challenges and gamification purposes may promote the...
Chapter
Full-text available
Most mobile devices include motion, magnetic, acoustic, and location sensors. These sensors can be used in the development of a framework for activities of daily living (ADL) and environment recognition. This framework is composed of the acquisition, processing, fusion, and data classification features. This study compares different implementations...
Book
This book addresses theories and empirical procedures for the application of machine learning and data mining to solve problems in cyber dynamics. It explains the fundamentals of cyber dynamics, and presents how these resilient algorithms, strategies, techniques can be used for the development of the cyberspace environment such as: • cloud computi...
Article
Full-text available
Air pollution is becoming a rising and serious environmental problem, especially in urban areas affected by an increasing migration rate. The large availability of sensor data enables the adoption of analytical tools to provide decision support capabilities. Employing sensors facilitates air pollution monitoring, but the lack of predictive capabili...
Conference Paper
Full-text available
The functional tests are essential to test the functionality of different types of people, and specialty for older adults. The primary purpose of this paper is to create a method for the automatic measurement of the results of the different functional tests. These are the Heel-rise Test, Functional Reach Test, Timed Up and Go Test, Ten Meter Walk T...
Conference Paper
Full-text available
Stress is or could be one of the most talked-about and recurring things in recent years, because of the world that we live. Stress is our body's response to a pressure thing or situation in our life. In this way, countless things have a stressful impact on our lives. On the other hand, stress is usually due to something new or unexpected, that some...
Conference Paper
Full-text available
Generally, a massive number of mobile applications is growing day today. There are several types of applications. However, healthcare applications are critical domain nowadays in the scientific field. Consequently, it is crucial to understand how the current state of the art in this domain in non-European countries is such as Georgia. Therefore, th...
Conference Paper
Full-text available
We present a dataset related to the teenagers and their physical activity and nutrition habits from two schools of Covilhã and Fundão municipalities (Portugal). It is related to the initial questionnaire distributed by the mobile application named CoviHealth. This mobile application was distributed to twenty-six individuals aged between 13 and 18 y...
Conference Paper
Full-text available
Diabetes is a critical problem in developed and developing countries. The early detection of this disease is crucial for efficient and effective treatment. Moreover, the application of machine learning for disease detection is a trending topic. There are numerous machine learning methods available in the literature. The main contribution of this pa...
Article
Full-text available
Applied machine learning in bioinformatics is growing as computer science slowly invades all research spheres. With the arrival of modern next-generation DNA sequencing algorithms, metagenomics is becoming an increasingly interesting research field as it finds countless practical applications exploiting the vast amounts of generated data. This stud...
Article
Full-text available
The dataset presented in this paper is related to the performance of five Activities of Daily Living (ADL) with motion, such as walking, running, standing, walking upstairs, and walking downstairs. These activities were performed with a mobile device in a waistband, containing the data acquired from the accelerometer, magnetometer, and gyroscope se...
Article
Atrial Fibrillation (AF) is a type of arrhythmia characterized by irregular heartbeats, with four types, two of which are complicated to diagnose using standard techniques such as Electrocardiogram (ECG). However, and because smart wearables are increasingly a piece of commodity equipment, there are several ways of detecting and predicting AF episo...
Conference Paper
Full-text available
Nowadays, Coronavirus is the biggest challenge of medicine. This problem is divided into two sectors: health and economy. In relation to health, there has been an alarming exponential rise in deaths, those who do not belong to the risk group are precisely those who contaminate and lead to disease. The economy also bleeds globally, and companies are...
Conference Paper
Full-text available
Obesity is one of the most common problem that can be avoid with the correct education of the teenagers. There are different methods, but the use of the mobile devices to promote the creation of social challenges is important, because the teenagers act mainly in groups. The use of questionnaires, challenges and gamification purposes may promote the...
Article
Full-text available
One class of applications for human activity recognition methods is found in mobile devices for monitoring older adults and people with special needs. Recently, many studies were performed to create intelligent methods for the recognition of human activities. However, the different mobile devices in the market acquire the data from sensors at diffe...
Article
Full-text available
Demographic data suggest a rapid aging trend in the active workforce. The concept of aging at work comes from the urgent requirement to help the aging workforce of the contemporary industries to maintain productivity while achieving a work and private life balance. While there is plenty of research focusing on the aging population, current research...
Article
Fifth generation (5G) technologies have become the center of attention in managing and monitoring high-speed transportation system effectively with the intelligent and self-adaptive sensing capabilities. Besides, the boom in portable devices has witnessed a huge breakthrough in the data driven vehicular platform. However, sensor-based Internet of T...
Article
Full-text available
The automatic recognition of human activities with sensors available in off-the-shelf mobile devices has been the subject of different research studies in recent years. It may be useful for the monitoring of elderly people to present warning situations, monitoring the activity of sports people, and other possibilities. However, the acquisition of t...
Article
Full-text available
We present a dataset related to the acquisition of differ- ent sensors data during the performance of the Timed-Up and Go test with the mobile device positioned in a waist- band for the acquisition of accelerometer and magnetometer data, and a BITalino device positioned in a chest band for the acquisition of Electrocardiography and Electroencephalo...
Article
Full-text available
Educating teenagers about nutrition and promoting active lifestyles is essential in reducing the long-term health risks and one idea to achieve this is by using mobile applications. Previous studies showed that the existing mobile applications have similar functionalities, such as intervention with questionnaires, and the use of gamification techni...
Conference Paper
Full-text available
The accelerometer is available on most of these mobile devices. It allows the acquisition and calculation of different physical parameters. Due to the use of pattern recognition, it also enables the identification of several Activities of Daily Living (ADL), such as walking, running, going downstairs, going upstairs, and standing. The feature extra...
Article
Full-text available
Outpatient absenteeism is a recurring problem worldwide and in Brazil, it is a chronic problem. The number of appointments and exams scheduled and not performed, due to the non-attendance of patients, reaches significantly high rates and can be seen in all regions in the country and in different types of care and medical specialties. This practice...
Conference Paper
Full-text available
The tremendous applications of human activity recognition are surging its span from health monitoring systems to virtual reality applications. Thus, the automatic recognition of daily life activities has become significant for numerous applications. In recent years, many datasets have been proposed to train the machine learning models for efficient...
Thesis
Full-text available
This dissertation presents research on the construction of predictive models for health conditions through the application of Artificial Intelligence methods. The work is thus focused on the prediction, in the short and long term, of Atrial Fibrillation conditions through the analysis of Electrocardiography exams, with the use of several techniques...
Article
Full-text available
Strokes are a constant concern for people and pose a major health concern. Tests that allow detection and the rehabilitation of patients have started to become more important and essential. There are several tests used by physiotherapists to speed up the recovery process of patients. This article presents a systematic review of existing studies usi...
Preprint
Full-text available
The tremendous applications of human activity recognition are surging its span from health monitoring systems to virtual reality applications. Thus, the automatic recognition of daily life activities has become significant for numerous applications. In recent years, many datasets have been proposed to train the machine learning models for efficient...
Article
Full-text available
Fitness and physical exercise are preferred in the pursuit of healthier and active lifestyles. The number of mobile applications aiming to replace or complement a personal trainer is increasing. However, this also raises questions about the reliability, integrity, and even safety of the information provided by such applications. In this study, we r...
Article
Full-text available
The test of physical conditions is important to treat and presents several diseases related to the movement. These diseases are mainly related to the physiotherapy and orthopedy, but it can be applied in a wide range of medical specialties. The Functional Reach Test is one of the most common physical tests used to measure the limit of stability tha...
Preprint
Full-text available
The User Datagram Protocol (UDP) and other similar protocols send the application data from the source machine to the destination machine inside segments, without foreseeing nor allowing for any type of control on the transmission or success metrics. These protocols are very convenient for e.g. real time data transmission. But when the reliability...