The WorkingAge project aims at improving the psycho-physical condition of workers, with a special focus on ageing subjects. In this context, a Decision Support System, based on a hybrid data-driven/model-driven approach, fed with data coming from environmental and wearable sensors, aims to provide...
04b Atto di convegno in volume
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Brain-Computer Interfaces based on Motor Imagery (MI-BCI) have been validated as promising systems to support rehabilitative protocols for the post-stroke motor recovery of the upper limb. To date, the long-term effects of MI-BCI training in post-stroke patients need to be clarified. In order to...
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Group level characterization of brain networks still represents an open issue in modern neuroscience. Investigating the functional mechanisms underlying the complexity of the human brain requires an analytical way to efficiently integrate information from multiple subjects, while properly handling...
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Cortico-muscular coupling (CMC) could be used as potential input of a novel hybrid Brain-Computer Interface (hBCI) for motor re-learning after stroke. Here, we aim of addressing the design of a hBCI able to classify different movement tasks taking into account the interplay between the cerebral and...
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Low Frequency Brain Oscillations (LFOs) are brief periods of oscillatory activity in delta and lower theta band that appear at motor cortical areas before and around movement onset. It has been shown that LFO power decreases in post-stroke patients and re-emerges with motor functional recovery. To...
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Low Frequency Oscillations (LFOs) are brief periods of oscillatory activity in delta and lower theta band localized over the cortical motor areas. Recent animal and human researches have evidenced the LFO power increase, only through the analysis of cortical activity yet, in the preparatory phase...
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Fake content has grown at an incredible rate over the past few years. The spread of social media and online platforms makes their dissemination on a large scale increasingly accessible by malicious actors. In parallel, due to the growing diffusion of fake image generation methods, many Deep...
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The knowledge of the environmental depth is essential in multiple robotics and computer vision tasks for both terrestrial and underwater scenarios. Recent works aim at enabling depth perception using single RGB images on deep architectures, such as convolutional neural networks and vision...
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Videos are a powerful source of communication adopted in several contexts and used for both benign and malicious purposes (e.g., education vs. reputation damage). Nowadays, realistic video manipulation strategies like deepfake generators constitute a severe threat to our society in term of...