Joao RodriguesUniversity of Algarve | UALG · ISE & NOVA LINCS
Joao Rodrigues
PhD
About
213
Publications
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Introduction
Keywords: Computer Vision, Human-Computer Interaction, Affective Computing, Artificial Intelligence, Human-Centered AI, Human-Senses Modeling.
Additional affiliations
November 2013 - present
Publications
Publications (213)
COVID-19 is an extremely contagious respiratory sickness instigated by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Common symptoms encompass fever, cough, fatigue, and breathing difficulties, often leading to hospitalization and fatalities in severe cases. CTCovid19 is a novel model tailored for COVID-19 detection, specificall...
Sentiment analysis (SA) is an effective method for determining public opinion. Social media posts have been the subject of much research, due to the platforms’ enormous and diversified user bases that regularly share thoughts on nearly any subject. However, on posts composed by a text–image pair, the written description may or may not convey the sa...
The traditional approach of single-word brand names faces constraints due to trademarks, prompting a shift towards fusing two or more words to craft unique and memorable brands, exemplified by brands such as SalesForce© or SnapChat©. Furthermore, brands such as Kodak©, Xerox©, Google©, Häagen-Dazs©, and Twitter© have become everyday names although...
Fish species Fine-Grained Visual Classification (FGVC) is important for ecological research, environmental management, and biodiversity monitoring, as accurate fish species identification is crucial for assessing the health of marine ecosystems, monitoring changes in biodiversity, and converting conservation plans into action. Although Convolutiona...
The field of affective computing (AffC) is a hot research topic, where keeping track of the latest state-of-the-art can be cumbersome. Probably, due to this, a huge increase in publications of systematic reviews or surveys (SRoS) is appearing in different journals, covering various aspects such as databases, methods, and overall perspectives. Never...
For humans it is quite easy to identify a new object after learning to identify existing ones, but not for a machine. Deep neural networks (DNN) are the foundation of the current state-of-the-art methods for training machines to recognize sets of objects. The issue is that any modification to the DNN weights that were trained to classify an initial...
The idea of an intelligent machine has fascinated humans for centuries [...]
Humans are prepared to comprehend others’ emotional expressions from subtle body movements or facial expressions, and they change the way they communicate in the function of those interactions/responses. Emotions influence sentiment and sentiment influences emotions. To transition from the traditional human-computer interaction to a human-machine c...
Human-centric artificial intelligence struggles to build automated procedures that recognize emotions which can be integrated in artificial systems, such as user interfaces or social robots. In this context, this paper researches on building an Emotion Multi-modal Aggregator (EMmA) that will rely on a collection of open-source single source emotion...
Diabetes has significant effects on the human body, one of which is the increase in the blood pressure and when not diagnosed early, can cause severe vision complications and even lead to blindness. Early screening is the key to overcoming such issues which can have a significant impact on rural areas and overcrowded regions. Mobile systems can hel...
One of the major communication paradigms for corporations and organizations consists of understanding which is the best format in which to communicate, and the effect that each type of content has on the different generations that coexist in the digital ecosystem. Tourism is one of the industry’s most sensitive to this ecosystem, as, nowadays, all...
Due to the perishable nature of tourist products, which impacts supply and demand, the possibility of analysing the relationship between customers’ satisfaction and service quality can contribute to increased revenues. Machine learning techniques allow the analysis of how these services can be improved or developed and how to reach new markets, and...
We compute the quasinormal frequencies of d-dimensional large spherically symmetric black holes with Gauss-Bonnet corrections in the highly damped regime. We solve perturbatively the master differential equation and we compute the monodromies of the master perturbation variable (analytically continued to the complex plane) in different contours, in...
The first major step in training an object detection model to different classes from the available datasets is the gathering of meaningful and properly annotated data. This recurring task will determine the length of any project, and, more importantly, the quality of the resulting models. This obstacle is amplified when the data available for the n...
Humans are prepared to comprehend each other’s emotions from subtle body movements or facial expressions, and from those, they change the way they deliver messages when communicating between them. Machines, user interfaces, or robots need to empower this ability, in a way to change the interaction from the traditional “human-computer interaction” t...
Energy consumption and, consequently, the associated costs (e.g., environmental and monetary) concern most individuals, companies, and institutions. Platforms for the monitoring, predicting, and optimizing energy consumption are an important asset that can contribute to the awareness about the ongoing usage levels, but also to an effective reductio...
In many countries, renewable energy production already represents an important percentage of the total energy that is generated in electrical grids. In order to reach higher levels of integration, demand side management measures are yet required. In fact, different from the legacy electrical grids, where at any given instant the generation levels a...
Learning to recognize a new object after having learned to recognize other objects may be a simple task for a human, but not for machines. The present go-to approaches for teaching a machine to recognize a set of objects are based on the use of deep neural networks (DNN). So, intuitively, the solution for teaching new objects on the fly to a machin...
A bstract
We compute the quasinormal frequencies of d -dimensional spherically symmetric black holes with leading string α′ corrections for tensorial gravitational perturbations in the highly damped regime. We solve perturbatively the master differential equation and we compute the monodromies of the master perturbation variable (analytically conti...
Generation X and Millennials are very important to marketers, as they are the country’s main workforce and consequently have the biggest purchasing power. Social networks enable these consumers to become more informed and direct them toward potential purchases. This study analyzed Generation X and Millennial consumers and their social network behav...
A Human can immediately add new items to its set of known objects, whereas a computer, using traditional computer vision algorithms, would typically have to go almost back to the start and re-learn the all collection of objects (classes) from scratch. The reason the network must be re-trained is due to a phenomenon named Catastrophic Forgetting, wh...
The demand for comfort and versatility in the management of different types of devices in a home or office is exponentially increasing. More and more people want a comfortable environment for leisure or work, something practical, sustainable and safe. This includes, obviously, all the range in the target user population, including people with disab...
Energy Management Systems are equipments that normally perform the individual supervision of power controllable loads. With the objective of reducing energy costs, those management decisions result from algorithms that select how the different working periods of equipment should be combined, taking into account the usage of the locally generated re...
We compute the quasinormal frequencies of $d$-dimensional spherically symmetric black holes with leading string $\alpha'$ corrections for tensorial gravitational perturbations in the highly damped regime. We solve perturbatively the master differential equation and we compute the monodromies of the master perturbation variable (analytically continu...
We compute the quasinormal frequencies of d-dimensional spherically symmetric black holes with leading string α′ corrections in the eikonal limit for tensorial gravitational perturbations and scalar test fields. We find that, differently than in Einstein gravity, the real parts of the frequency are no longer equal for these two cases. The correspon...
We compute the quasinormal frequencies of $d$-dimensional spherically symmetric black holes with leading string $\alpha'$ corrections in the eikonal limit for tensorial gravitational perturbations and scalar test fields. We find that, differently than in Einstein gravity, the real parts of the frequency are no longer equal for these two cases. The...
The internet of everything is a network that connects people, data, process, and things, making it easier to understand that many subfields of knowledge are discussable while addressing this subject. This chapter makes a survey on the application of machine learning algorithms to the internet of everything. This survey is particularly focused in co...
Energy consumption and, consequently, the associated costs (e.g., environmental and monetary) concern most individuals, companies, and institutions. Platforms for the monitoring, predicting, and optimizing energy consumption are an important asset that can contribute to the awareness about the ongoing usage levels, but also to an effective reductio...
Monuments, museums and cities are great places to feel and experience neat and interesting things. But cultural heritage is experienced differently by different visitors. The more erudite may know beforehand what they intend to explore, while the least literate usually know and are capable of expressing some of their preferences but do not exactly...
Segmentation process serves to aid the pathology diagnosing process since segmentation filters the interference from other anatomical structures and helps focus on the posterior segment structures of the eye, highlighting a set of signals that will serve for diagnosis of various retinal pathologies. Automatic retinal vessel segmentation can lead to...
Retrieving the layout of different cluttered indoor scenes from monocular images is a challenging task, using a smaller deep neural network than the existing proposals. Previous geometric solutions are prone to failure in the presence of cluttered scenes because they depend strongly on hand-engineering features and the expectation of the possibilit...
Centennials are the young consumers born into the Internet age who regard social networks as the prime means of communicating with friends, searching for product and brand information. Social networks enable this type of consumer to become a brand agent when they share their opinions through comments and ratings about their products, which contribu...
Smart systems when connected to artificial intelligence (AI) are still closely associated with some popular misconceptions that cause the general public to either have unrealistic fears about AI or to expect too much about how it will change our workplace and life in general. It is important to show that such fears are unfounded, and that new trend...
Artificial Intelligence and Smart Systems are having an increasing impact on our day to day lives and on how our cities handle our ever-growing needs. Smart systems are systems capable of making decisions based on data received from different sensors and performing actions based on those decisions. These (smart) actions could and should be differen...
Energy consumption and, consequently, the associated costs (e.g., environmental and monetary) concern most individuals, companies, and institutions. Platforms for the monitoring, predicting, and optimizing energy consumption are an important asset that can contribute to the awareness about the ongoing usage levels, but also to an effective reductio...
Smart systems make decisions incorporating data available from different sensing in a way to control and make smart actions. In this context, smart actions consist in augmenting user's actions and/or decisions by using devices or additional information. Those actions could and should be different from user to user, depending on its characteristics...
The application of the most recent technologies is fundamental to add value to tourism experiences, as well as in other economic sectors. Mobile Five Senses Augmented Reality (M5SAR) system is a mobile guide instrument for cultural, historical, and museum events. In order to realize the proclaimed five senses, the system has two main modules: a (i)...
Action recognition is of great importance in understanding human motion from video. It is an important topic in computer vision due to its many applications such as video surveillance, human–machine interaction and video retrieval. One key problem is to automatically recognize low-level actions and high-level activities of interest. This paper prop...
Social networks have changed the way people and companies communicate. Nowadays, more and more elderly persons are using these platforms to communicate with friends and family, access news, entertainment and education. This study focuses on the elderly population and its use of social networks, and analyzes the contribution provided by the platform...
When it comes to visitors’ experiences at museums and heritage attractions, objects speak for themselves. With the aim of enhancing a traditional museum visit, a mobile Augmented Reality (AR) framework was developed during the M5SAR project. This paper presents two modules, the wall and human shape segmentation with AR content superimposition. The...
The International Conference on Computational Science is an annual conference
that brings together researchers and scientists from mathematics and computer science
as basic computing disciplines, as well as researchers from various application areas
who are pioneering computational methods in sciences such as physics, chemistry, life
sciences, engi...
The five-volume set LNCS 11536, 11537, 11538, 11539 and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019.
The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submis...
As innovators continue to explore and create new developments within the fields of artificial intelligence and computer science, subfields such as machine learning and the internet of things (IoT) have emerged. Now, the internet of everything (IoE), foreseen as a cohesive and intelligent connection of people, processes, data, and things, is theoriz...
In many countries, renewable energy production already represents an important percentage of the total energy that is generated in electrical grids. In order to reach higher levels of integration, demand side management measures are yet required. In fact, different from the legacy electrical grids, where at any given instant the generation levels a...
The internet of everything is a network that connects people, data, process, and things, making it easier to understand that many subfields of knowledge are discussable while addressing this subject. This chapter makes a survey on the application of machine learning algorithms to the internet of everything. This survey is particularly focused in co...
The five-volume set LNCS 11536, 11537, 11538, 11539 and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019.
The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submis...
The Mobile Five Senses Augmented Reality System for Museums (M5SAR) project aims to development an Augmented Reality mobile system for museums. Museums are amazing places, where it is important to sensorial augment as much as possible the visits, permitting to see, ear, touch, smell, and taste all the interesting objects there exist. Also fundament...
Cultural Heritage (CH) is an essential expression of the wealth and diversity of human cultures, and therefore its documentation, interpretation, restoration, and dissemination are considered to be crucial tasks. Information and Communication Technologies (ICTs) provide researchers with powerful tools to deal with the digital acquisition, storage,...
Internet of Everything (IoE) intends to connect people, processes and things in an intelligent way to improve the user's experience and the person's well-being. With increasing life expectancy, the aging population is growing in developed countries, the use of technologies by seniors can contribute to their well-being, especially the internet and s...
The Internet of Everything (IoE) is the networked connection of people, data, processes and things. Accessibility for All in Tourism is a project that aims to study the "accessibility for all" has a quality attribute in sustainable mobility, senior tourism, social inclusion and territorial marketing. It considers the needs of the elderly and other...
The visit to cultural places can be an enormous pleasure, where visitors are driven to see and explore historical or contemporary objects. The same journey can also be fastidious when the visitor is taken to lengthy walks, unwanted collections or the objects archive is too large. For many of us, a visit should be something limited in time, showing...
As the number of Plug-In Electric Vehicles continues to rise, existing electrical grids need to adapt to support the expected charging demand of such vehicles. Fortunately, a growing number of renewable energy sources are also being introduced in current electrical grids, reducing the dependency on fossil fuels. Leveraged by the self-consumption le...
The increasing immersion of technology on our daily lives demands for additional investments in various areas, including, as in the present case, the enhancement of museums’ experiences. One of the technologies that improves our relationship with everything that surrounds us is Augmented Reality. This paper presents the architecture of MIRAR, a Mob...
As a consequence of the technological advances and the widespread use of mobile devices to access information and communication in the last decades, mobile learning has become a spontaneous learning model, providing a more flexible and collaborative technology-based learning. Thus, mobile technologies can create new opportunities for enhancing the...
Biologically–compatible methods are not commonly used for face recognition. Complex computational approaches are preferred and dominate the state of the art. However, we know that the human brain is very efficient at processing faces, without explicitly depending on advanced mathematics. In this paper we focus on evaluating the performance of an ex...
The purpose of this work is to present a portable hardware device that can provide touch, taste and smell sensations to an augmented reality experience. The proposed hardware is part of a mobile five senses augmented reality system for Museums, to improve and augment, as much as possible, the visiting of a museum, i.e., see, ear, touch, feel and ex...
The application of the most recent technologies is fundamental to achieve sustainability in tourism, as well as in other economic sectors. This paper presents the initial architecture of MIRAR, a Mobile Image Recognition based Augmented Reality framework, which aims the development of Augmented Reality applications for mobile devices. The MIRAR fra...
“The lives of others” is an interactive audiovisual installation that is based on a voyeuristic approach of the binomial inside / outside and private / public, between the finished product presentable to the public and the mechanism that generates it. This mechanism consisting of physical devices and logical-mathematical instructions usually remain...
Information and Communication Technologies (ICT) have established a growing and deeper interconnection alliance with the tourism sector. Few solutions have contributed to the dissemination of cultural and religious heritage of the regions, as a means of promoting it, making known and enriching the culture of its visitors and residents. The developm...
The Mobile Five Senses Augmented Reality System for Museums (M5SAR) project aims to development an Augmented Reality mobile system for museums. Museums are amazing places, where it is important to sensorial augment as much as possible the visits, permitting to see, ear, touch, smell, and taste all the interesting objects there exist. Also fundament...
Learning robust keypoint descriptors has become an active research area in the past decade. Matching local features is not only important for computational applications, but may also play an important role in early biological vision for disparity and motion processing. Although there were already some floating-point descriptors like SIFT and SURF t...
Museums are great places where visitors can see, hear, touch, feel and experience interesting things. The visit is even better when visitors can select what they want to see and have ways to enhance their experience. Many museums have a huge amount of collections and objects, selecting which ones to see is sometimes difficult. A system that adapts...
Visiting a museum should be an apprised experience. However, for a part of the visitors, the experience can be disappointing in some aspect, either because of the vastness of the estate, leading to tiredness, or the inappropriateness of the presented objects for the consumer intentions. A solution is to endorse different arrangements according with...
Pose estimation is the task of predicting the pose of an object in an image or in a sequence of images. Here, we focus on articulated human pose estimation in scenes with a single person. We employ a series of residual auto-encoders to produce multiple predictions which are then combined to provide a heatmap prediction of body joints. In this netwo...
In order to increase the hotel's competitiveness, to maximize its revenue, to meliorate its online reputation and improve customer relationship, the information about the hotel's business has to be managed by adequate information systems (IS). Those IS should be capable of returning knowledge from a necessarily large quantity of information, antici...
A realização de viagens por motivos religiosos tem sido transversal ao longo da evolução da humanidade, nas décadas mais recentes, algumas destas viagens foram motivadas pelo turismo (religioso). As tecnologias da informação e comunicações (TIC) tem tido muito impacto sobre o turismo ao longo das últimas décadas, uma vez que a informação é um dos a...
This book constitutes the refereed proceedings of the 8th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2017, held in Faro, Portugal, in June 2017. The 60 regular papers presented in this volume were carefully reviewed and selected from 86 submissions. They are organized in topical sections named: Pattern Recognition and Mach...
With new marketing strategies and technologies, new demands arise, and the standard public relation or salesperson is not enough, costumers tend to have higher standards while companies try to capture their attention, requiring the use of creative contents and ideas. For this purpose, this article describes how an interactive holographic installati...
Interactive films depend on the participation of viewers. This participation usually translates into making decisions that determine the sequence of the narrative. Many interactive films make use of an interaction design that reduces the viewer's immersiveness by interrupting the narrative to allow choices and the use of graphics to alert about dec...
Museums are great places to see, ear, touch, feel and experience cool and interesting things. Even better when you can set your own itinerary, or you can move at your own pace and at the same time have all the complementary information you need about a piece. This paper presents an initial framework for a museum application where augmented reality...
Cultural heritage is experienced differently by different visitors. The more erudite know beforehand what they intend to explore when visiting a monument, a museum or a city. On the other side, least erudite visitors usually know and are capable of expressing some of their preferences but do not realize exactly what to see and explore. Physical and...
http://recpad2016.web.ua.pt/RecPad2016_Proceedings.pdf
Pedestrian detection and tracking remains popular issue in computer vision, with many applications in robotics, surveillance, security and telecare systems, especially when connected with Smart Cities and Smart Destinations. As a particular case of object detection, pedestrian detection in general is a difficult task due to a large variability of f...
The rapidly increasing population of elderly persons is a phenomenon which affects almost the entire world. Although there are many telecare systems that can be used to monitor senior persons, none integrates one key requirement: detection of abnormal behavior related to chronic or new ailments. This paper presents a framework based on deep neural...
The communication between people with normal hearing with those having hearing or speech impairment is difficult. Learning a new alphabet is not always easy, especially when it is a sign language alphabet, which requires both hand skills and practice. This paper presents the GyGSLA system, standing as a completely portable setup created to help ine...
As Human Computer Interaction technologies evolve, they are supporting the generation of innovative solutions in a broad range of domains. Among them, Serious Games are defined as new type of computer game that is capable of stimulating users to learn, by playing and competing against themselves, against other users or against a computer applicatio...
As computing equipment become ubiquitous, a new set of interfacing devices need to be developed and
properly adapted to the conditions where this equipment is to be used. Interacting with machines might
present difficulties relative to the handiness of common interfacing devices, when wearing certain clothes,
doing certain dirty jobs, or when they...
In the globalized world, possessing good products may not be enough to reach potential clients unless
creative marketing strategies are well delineated. In this context, public relations are also important
when it comes to capture the client’s attention, making the first contact between the clients and the company’s
products, while being persuasive...
Pool and billiards are amongst a family of games played on a table with six pockets along the rails. This paper presents an augmented reality tool designed to assist unskilled or amateur players of such games. The system is based on a projector and a Kinect 2 sensor placed above the table, acquiring and processing the game on-the-fly. By using dept...
Online presence is essential for tourism organisations, and the quality
of websites can influence customers. In the case of hotels, there are
many studies to evaluate website performance based on functionality,
usability and other factors, much less on the amount of different
information available to the consumer. In the near future by using Big
Da...