Percorrer por autor "Rodrigues, Joao"
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- Affective computing databases: in-depth analysis of systematic reviews and surveysPublication . Migueis Vaz Martins, Pedro Jorge; Rodrigues, Joao; Cardoso, PedroThe 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. Nevertheless, this increase does not mean more and better information, or at least a clarification of information. The present study analyses 10 SRoS, all published within the last 4 years, focusing only on covering AffC databases, with emphasis on collections where emotion or sentiment can be extracted from the body. It was observed that, depending on the SRoS, different information was presented, sometimes with missing or discrepant data, due to lack of information or by the way it was interpreted. As a result, from those 10 SRoS, a total of 111 different databases were analyzed, which were segmented into three groups (tiers, i.e., citation-based categorization) by their relative importance of appearance in the SRoS. In addition, it is proposed a taxonomy with a minimum set of characterizing information that researchers should address when publishing or reviewing databases.
- Affective computing emotional body gesture recognition: evolution and the cream of the cropPublication . Migueis Vaz Martins, Pedro Jorge; Rodrigues, Joao; Cardoso, PedroThe field of affective computing (AffC) has experienced significant growth, making it challenging to stay up to date with the latest advancements. This surge in interest has likely contributed to a significant rise in the number of systematic reviews or surveys (SRoS) being published across various journals, covering topics like databases, methods, and general perspectives. This paper provides three key contributions: 1) A comprehensive analysis of the evolution of emotion recognition methods from 2002 to 2024, with particular emphasis on emotional body gesture recognition, documenting a clear transition from traditional machine learning to sophisticated deep learning architectures; 2) Identification and detailed analysis of the most impactful papers (the ‘‘cream of the crop’’) that have shaped body-based AffC methods, revealing that modern approaches increasingly use attention mechanisms, graph-based representations for skeletal data, and advanced spatial-temporal modeling techniques; and 3) A systematic categorization and analysis of emotion recognition methods across architectural types (machine learning, deep learning, and hybrid) and modalities (emotional body gesture recognition, facial emotion recognition, multimodal emotion recognition, and speech emotion recognition), demonstrating the field’s progression from unimodal to more robust multimodal approaches. Through an analysis of 10 selected SRoS papers published between 2021-2024, referencing 292 papers collectively, this study reveals critical challenges including limited availability of large-scale body-based emotional databases, computational demands of modern architectures, and cross-database generalization issues.
- Co-designing an inclusive bus stop for a tourist transportation hubPublication . Pires Rosa, Manuela; Golestaneh, Seyed Homayoun; Mello, Germana Santiago de; Rodrigues, Joao; Sousa, Nelson; Gameiro, Celeste; Sousa, Carlos; Cavaleiro, Rui; Lamarão, HugoThis study explores the integration of sustainable mobility and universal design principles in creating accessible public transportation infrastructure. The research focuses on the co-design of a bus stop at Faro International Airport, engaging diverse stakeholders, including older tourists and adults with disabilities, through surveys, group reflections, walk-throughs, and workshops. The methodology incorporated multiple methods, such as, inquiries, observations and interviews, and digital prototyping to gather comprehensive insights into the specific needs of the participants. By addressing societal vulnerabilities and promoting social sustainability, the co-design process fostered innovation, resulting in a bus stop design that is functional, inclusive, and adaptable. The study underscores the role of sustainable mobility in enhancing equitable urban transportation systems and demonstrates how inclusive design principles contribute to achieving the broader goals of environmental, social, and economic sustainability. The design incorporates accessibility features, such as tactile paving, raised platforms, intuitive seating, and smart technology, tailored to the diverse needs of users. Special emphasis was placed on minimising barriers for individuals with mobility, visual, or hearing impairments while addressing the practical requirements of older adults. The inclusive bus stop serves as a model for future initiatives, highlighting the importance of active community engagement in designing transportation infrastructure that supports diverse societal needs.
- Cultural heritage visits supported on visitors' preferences and mobile devicesPublication . Cardoso, Pedro; Rodrigues, Joao; Pereira, Joao; Nogin, Sergey; Lessa, Joana; Ramos, Celia; Bajireanu, Roman; Gomes, Miguel; Bica, PauloMonuments, 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 realize what to see and explore. This paper proposes the use of a mobile application to set an itinerary where you can move at your own pace and, at the same time, have all the complementary information you need about each of the points of interest. The application is designed in face of an adaptive user interface where the routing and augmented reality are connected to acknowledge the needs of different user categories, such as elders, kids, experts or general users
- Development of a multiresidue method for the determination of 24 pharmaceuticals in clams by QuEChERS and liquid chromatography-triple quadrupole tandem mass spectrometryPublication . Rodrigues, Joao; Albino, Stephanie; Silva, Sofia; Cravo, Alexandra; Cardoso, Vitor Vale; Benoliel, Maria Joao; Almeida, Cristina M. M.Data on different therapeutic classes of pharmaceutical compounds (PhCs) in clams or other bivalves living in natural conditions are scarce. The aim of this work was the optimization and validation of a method for the determination of PhCs in clams for further evaluation of any potential human exposure risk due to their consumption. A quick, easy, cheap, effective, rugged, and safe (QuEChERS) approach is proposed for sample clean-up and concentration of 24 PhCs in clams, with subsequent analysis by liquid chromatography-tandem mass spectrometry. This method showed a good linear range for all PhCs with determination coefficients (r(2)) between 0.9949 and 0.9993 and coefficients of variation (CVm) lower than 5.5%. This method allowed the quantification of target compounds at trace concentration levels (ngg(-1)), being the most abundant PhC in clam caffeine. This PhC was detected in more than 70% of samples with concentrations ranging from 0.10 to 12ngg(-1) wet weight.
- Digital cultural heritagePublication . Portalés, Cristina; Rodrigues, Joao; Rodrigues Gonçalves, Alexandra; Alba, Ester; Sebastián, JorgeMost contemporary thinkers agree that we are going through a time of historical change, building a different concept and model of social interrelation. Our ways of life and work have changed, as have the ways in which we communicate and relate to each other. Likewise, an increasing consensus indicates the need to reconfigure traditional social and cultural structures. The Internet, the virtual social networks, and the Information and Communication Technologies (ICTs) have coalesced into a new collective consciousness—a world intercommunicated from the local to the global [1]. The fusion of tradition, culture, history, and legacy with technology, innovation, and interaction provides an attractive system that serves both as an artistic expression and as a fundamental tool for diffusion in cultural institutions [2]. For instance, the usage of interactive technologies such as virtual reality (VR) or augmented reality (AR), combined with multidimensional or multimodal representations [3], provides a significant novelty. User interaction offers a broader perspective, making people more aware of their actions, helping them become the true center of the application. It also enables interactive artistic expression through alternative realities, as well as narration supported by the use of virtual avatars.
- Editorial for the special issue applied and innovative computational intelligence systems (3rd Edition)Publication . Cardoso, Pedro; Rodrigues, Joao; Portalés, CristinaWe are pleased to present the third edition of the Special Issue “Applied and Innovative Computational Intelligence Systems” in Applied Sciences, a journal with an Impact Factor of 2.7 and a CiteScore of 4.5 (2022). This Special Issue offers a unique opportunity for computational intelligence (CI) researchers and practitioners to share their latest theoretical and experimental outcomes with the international community. Supported by a wide range of approaches—including machine learning, deep learning, fuzzy systems, and evolutionary computation—CI aims to develop intelligent systems characterized by adaptability, fault tolerance, and high performance, enabling or facilitating intelligent behavior in complex and dynamic environments. The ultimate goal is to create technology that allows machines to think, behave, or act in ways that are increasingly human-like. In this context, the Special Issue explores both the foundational and applied aspects of CI, welcoming contributions in artificial intelligence, machine learning, deep learning, computer vision, data analysis and science, fault detection, affective computing, natural language processing, privacy and ethics, and robotics. By embracing this broad scope, we aim to capture the diversity and dynamism of contemporary research on CI and its complementary fields.
- Fine-grained fish classification from small to large datasets with vision transformersPublication . Veiga, Ricardo; Rodrigues, JoaoFish 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 Convolutional Neural Network (CNN)s have been the conventional approach for FGVC, their effectiveness in differentiating visually similar species is not always satisfactory. The advent of Vision Transformer (ViT)s, in particular the Shifted window (Swin) Transformer, has demonstrated potential in addressing these issues by using sophisticated self-attention and feature extraction techniques. This paper proposes a method of combining the FGVC Plug-in Module (FGVC-PIM) and the Swin Transformer. The FGVC-PIM improves classification by concentrating on the most discriminative image regions, while the Swin Transformer acts as the framework and provides strong hierarchical feature extraction. The performance of the method was assessed on 14 different datasets, which included 19 distinct subsets with varying environmental conditions and image quality. With the proposed method it was achieved state-of-the-art results in 13 of these subsets, exhibiting better accuracy and robustness than previous methods, in 2 subsets (not yet explored by other authors) new baseline results are presented, and in the remaining 4 it was achieved results always above 83%.
- From cues to engagement: a comprehensive survey and holistic architecture for computer vision-based audience analysis in live eventsPublication . Lemos, Marco; Cardoso, Pedro; Rodrigues, JoaoThe accurate measurement of audience engagement in real-world live events remains a significant challenge, with the majority of existing research confined to controlled environments like classrooms. This paper presents a comprehensive survey of Computer Vision AI-driven methods for real-time audience engagement monitoring and proposes a novel, holistic architecture to address this gap, with this architecture being the main contribution of the paper. The paper identifies and defines five core constructs essential for a robust analysis: Attention, Emotion and Sentiment, Body Language, Scene Dynamics, and Behaviours. Through a selective review of state-of-the-art techniques for each construct, the necessity of a multimodal approach that surpasses the limitations of isolated indicators is highlighted. The work synthesises a fragmented field into a unified taxonomy and introduces a modular architecture that integrates these constructs with practical, businessoriented metrics such as Commitment, Conversion, and Retention. Finally, by integrating cognitive, affective, and behavioural signals, this work provides a roadmap for developing operational systems that can transform live event experience and management through data-driven, real-time analytics.
- From cues to engagement: a comprehensive survey and holistic architecture for computer vision-based audience analysis in live eventsPublication . Lemos, Marco; Cardoso, Pedro; Rodrigues, JoaoThe accurate measurement of audience engagement in real-world live events remains a significant challenge, with the majority of existing research confined to controlled environments like classrooms. This paper presents a comprehensive survey of Computer Vision AI-driven methods for real-time audience engagement monitoring and proposes a novel, holistic architecture to address this gap, with this architecture being the main contribution of the paper. The paper identifies and defines five core constructs essential for a robust analysis: Attention, Emotion and Sentiment, Body Language, Scene Dynamics, and Behaviours. Through a selective review of state-of-the-art techniques for each construct, the necessity of a multimodal approach that surpasses the limitations of isolated indicators is highlighted. The work synthesises a fragmented field into a unified taxonomy and introduces a modular architecture that integrates these constructs with practical, businessoriented metrics such as Commitment, Conversion, and Retention. Finally, by integrating cognitive, affective, and behavioural signals, this work provides a roadmap for developing operational systems that can transform live event experience and management through data-driven, real-time analytics.
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