- Traffic and Road Safety
- Human-Automation Interaction and Safety
- Noise Effects and Management
- Virtual Reality Applications and Impacts
- Chemical Thermodynamics and Molecular Structure
- Synthesis and Biological Evaluation
- Autonomous Vehicle Technology and Safety
- Tactile and Sensory Interactions
- Vehicle Noise and Vibration Control
- Robot Manipulation and Learning
- EEG and Brain-Computer Interfaces
- Innovative Teaching and Learning Methods
- Evacuation and Crowd Dynamics
- Action Observation and Synchronization
- Safety Warnings and Signage
- Augmented Reality Applications
- Motor Control and Adaptation
- Multisensory perception and integration
- Neural dynamics and brain function
- Text Readability and Simplification
- Reinforcement Learning in Robotics
- Online and Blended Learning
- Child and Animal Learning Development
- Acoustic Wave Phenomena Research
- Industrial Vision Systems and Defect Detection
University of Minho
2012-2024
Centro de Computação Gráfica
2016-2024
Centro de Estudos em Geografia e Ordenamento do Territorio
2023
Information Technology Laboratory
2023
Universidade Federal do Cariri
2017
Universidade do Porto
2004-2016
Universidade Federal do Rio Grande do Norte
2008
University of North Texas
2004-2007
Centro de Genética Clínica
1988
A malformação de Chiari é uma condição neurológica caracterizada pela herniação do cerebelo e, em alguns casos, tronco cerebral para dentro canal espinhal. Os sintomas podem incluir cefaleia, dor neuropática, tontura, fraqueza e alterações sensoriais. Embora a abordagem terapêutica convencional inclua medicamentos analgésicos, anti-inflamatórios intervenções cirúrgicas, o uso cannabis medicinal emergiu como alternativa complementar manejo dos sintomas. Esta revisão busca explorar as...
Motion Sickness (MS) remains a paramount concern in the evolving landscape of autonomous vehicles. As automation continues to reshape passenger-vehicle interaction paradigm, proliferation diverse in-vehicle systems empowers passengers disengage from driving task. However, this new paradigm comes with potential cost exacerbating MS inside car. In work, we intended to: (1) present and review available countermeasures prevent or mitigate MS, found literature, that could also be implemented car;...
When crossing a road, pedestrians must detect traffic, combine data coming from different perceptual modalities, evaluate the time envelope for safely cross street, and monitor position of oncoming vehicles to perform corrective actions if needed. This study analyzed influence noise emitted by vehicles, or its absence, on pedestrians’ decision-making. Experiments were performed in virtual environment using two road scenarios. Participants presented with stimuli approaching that varied...
The advent of autonomous vehicles (AVs) has sparked many concerns about pedestrian safety, prompting manufacturers and researchers to integrate external Human–Machine Interfaces (eHMIs) into AVs as communication tools between pedestrians. evolving dynamics vehicle–pedestrian interactions make eHMIs a compelling strategy for enhancing safety. This study aimed examine the contribution safety while exploring impact an incentive system on risk behavior. Participants interacted with equipped in...
The mean (N-O) bond dissociation enthalpies were derived for three 2-methyl-3-(R)-quinoxaline 1,4-dioxide (1) derivatives, with R = methyl (1a), ethoxycarbonyl (1b), and benzyl (1c). standard molar of formation in the gaseous state at T 298.15 K 1 derivatives determined from combustion crystalline solids their sublimation. In parallel, accurate density functional theory-based calculations carried out order to estimate gas-phase corresponding quinoxaline derivatives. Also, theoretical used...
Many of our sequential activities require that behaviors must be both precisely timed and put in the proper order. This article presents a neurocomputational model based on theoretical framework dynamic neural fields supports rapid learning flexible adaptation coupled order–timing representations events. A key assumption is elapsed time encoded monotonic buildup self-stabilized population activity representing event memory. stable activation gradient over subpopulations carries information...
The standard enthalpy of formation the 2-amino-3-quinoxalinecarbonitrile-1,4-dioxide compound in gas-phase was derived from enthalpies combustion crystalline solid measured by static bomb calorimetry and its sublimation determined Knudsen mass-loss effusion at T = 298.15 K. This value is (383.8 ± 5.4) kJ mol−1 subsequently combined with experimental atomic oxygen computed 2-amino-3-quinoxalinecarbonitrile, (382.0 6.3) mol−1, order to estimate mean (N–O) bond dissociation...
The standard molar enthalpies of formation the 3-methyl-N-R-2-quinoxalinecarboxamide-1,4-dioxides (R = H, phenyl, 2-tolyl) in gas phase were derived using values for combustion crystalline compounds, measured by static bomb calorimetry, and sublimation, Knudsen effusion, at T 298.15 K. These have also been used to calibrate a computational procedure that has employed estimate gas-phase corresponding 3-methyl-N-R-2-quinoxalinecarboxamides compute first, second, mean N−O bond dissociation...
Humans are experts in cooperating a smooth and proactive manner. Action intention understanding critical components of efficient joint action. In the context EU Integrated Project JAST [16] we have developed an anthropomorphic robot endowed with these cognitive capacities. This project respective (ARoS) is focus video. More specifically, results illustrate crucial capacities for successful human-robot collaboration such as goal inference, error detection anticipatory action selection....
We tested in a robotics experiment dynamic neural field model for learning precisely timed musical sequence. Based on neuro-plausible processing mechanisms, the implements idea that order and relative timing of events are stored an integrated representation whereas onset sequence production is controlled by separate process. Dynamic fields provide rigorous theoretical framework to analyze implement necessary computations bridge gaps between sensation action mediate working memory, planing,...
The next generation of mobile networks, namely 5G, promises significant qualitative and quantitative advances for multiple vertical domains. However, most studies investigations assess these under the implicit assumption a single network service provider, with typical national coverage. In this article, we take close look at automotive sector highlight series challenges emerging in context its inherent (inter)national mobility corresponding importance cross-border and/or multioperator...
A significant percentage of pedestrians walk in social groups (friends, families, or acquaintances who together). Although patterns generated by interactions among group members have been shown to affect crowd dynamics, studies on the effect at different crossing phases under low pedestrian density are limited. This study aims comprehensively examine influence size and sex composition pedestrians’ behaviors when walking alone with friends before, during, after road crossing. For this,...
Background: Many programming environments include automated feedback in the form of hints to help novices learn autonomously. Some experimental studies investigated impact immediate performance and learning retention that context. Automated is also becoming a popular research topic context formal specification languages, but so far no have been conducted assess its while such languages. Objective: We aim investigate different types language, not only terms retention, emotional response...
The standard enthalpy of formation and the sublimation crystalline 2-hydroxyphenazine-di-N-oxide, at T = 298.15 K, were determined from isoperibol static bomb combustion calorimetry Knudsen effusion experiments, as -76.7 +/- 4.2 kJ.mol(-1) 197 5 kJ.mol(-1), respectively. sum these two quantities gives in gas-phase for this compound, delta(f)H(m)degrees(g) 120 6 kJ.mol(-1). This value was combined with 2-hydroxyphenazine retrieved a group estimative method yielding mean (N-O) bond...
As behavioral science becomes progressively more data driven, the need is increasing for appropriate tools visual exploration and analysis of large datasets, often formed by multivariate time series.This paper describes MUVTIME, a multimodal series visualization tool, developed in Matlab that allows user to load collection (a dataset) an associated video.The can plot several on MUVTIME use one them do brushing displayed data, i.e. select range dynamically have it updated display.The tool...
The ubiquity of mobile phones and the advancement their computational capabilities is making Augmented Reality more accessible to general public. Being actively used in diverse domains (retail, mapping navigation, education, maintenance industry, entertainment, social media, etc.) Mobile (MAR) can bring value companies provide enhanced user experience, when compared with traditional interfaces. Consequently, designers have been exploring potential this technology assist people daily life...
Implementing the concept of Connected, Cooperative and Automated Driving (CCAD) has many potential societal individual benefits. However, to do so successfully fundamental challenges need be tackled, one being integration automation human driver. The decisive problems with safety surrounding this topic are well-known, in particular when is expected intervene situations that unable handle. Here we argue leading human-machine interaction paradigm for automated driving was continues dynamic...