A5091570867- EEG and Brain-Computer Interfaces
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Dementia and Cognitive Impairment Research
- Neural dynamics and brain function
- Gaze Tracking and Assistive Technology
- Video Analysis and Summarization
- Blind Source Separation Techniques
- 3D Surveying and Cultural Heritage
- Functional Brain Connectivity Studies
- Context-Aware Activity Recognition Systems
- Advanced Memory and Neural Computing
- Virtual Reality Applications and Impacts
- Neuroscience and Neural Engineering
- Augmented Reality Applications
- Neural and Behavioral Psychology Studies
- Semantic Web and Ontologies
- Technology Use by Older Adults
- Sentiment Analysis and Opinion Mining
- Tactile and Sensory Interactions
- Mobile Health and mHealth Applications
- 3D Shape Modeling and Analysis
- Digital Marketing and Social Media
- Cultural Heritage Management and Preservation
- Advanced Steganography and Watermarking Techniques
Information Technologies Institute
2016-2025
Centre for Research and Technology Hellas
2016-2025
China Philanthropy Research Institute
2017-2022
Aristotle University of Thessaloniki
2006-2021
Hella (Germany)
2014-2020
Information Technology Institute
2014-2020
Queen Mary University of London
2011-2012
HES-SO University of Applied Sciences and Arts Western Switzerland
2007
University of Patras
2003-2006
In recent years, the digitization of cultural heritage has been favored by significant advancements in specific technologies, such as photogrammetry and three-dimensional scanning. The digital representations artifacts, paintings, books, collections, well buildings or archaeological sites, led to transfer organizations space. On other hand, rapid development immersive technologies Internet Things is expected decisively shape virtual coming years. However, this transition should expand its...
Intangible Cultural Heritage (ICH) creations include, amongst other, music, dance, singing, theatre, human skills, and craftsmanship. These cultural expressions are usually transmitted orally and/or using gestures modified over a period of time, through process collective recreation. As the world becomes more interconnected many different cultures come into contact, local communities run risk losing important elements their ICH, while young people find it difficult to maintain connection...
Functional decline in Alzheimer's disease (AD) is typically measured using single-time point subjective rating scales, which rely on direct observation or (caregiver) recall. Remote monitoring technologies (RMTs), such as smartphone applications, wearables, and home-based sensors, can change these periodic assessments to more frequent, even continuous, objective monitoring. The aim of the RADAR-AD study assess accuracy validity RMTs measuring functional a real-world environment across...
Background: Alzheimer's Disease (AD) impairs the ability to carry out daily activities, reduces independence and quality of life increases caregiver burden. Our understanding functional decline has traditionally relied on reports by family caregivers, which are subjective vulnerable recall bias. The Internet Things (IoT) wearable sensor technologies promise provide objective, affordable, reliable means for monitoring function. However, human factors its acceptance relatively unexplored....
Abstract This paper introduces a Virtual Reality (VR) application tailored for fashion designers and retailers, transcending traditional garment design demonstration boundaries by presenting an immersive digital showcase within captivating VR environment. Simulating virtual retail store, navigate freely, selecting from array of avatar-garment combinations exploring garments diverse perspectives. experience offers precise representation the final product’s aesthetics, fit, functionality on...
Brain-computer interfaces (BCIs) have been gaining momentum in making human-computer interaction more natural, especially for people with neuro-muscular disabilities. Among the existing solutions systems relying on electroencephalograms (EEG) occupy most prominent place due to their non-invasiveness. In this work, we provide a review of various techniques identification motor imagery (MI) tasks. More specifically, perform comparison between Common Spatial Patterns (CSP) related features and...
In this work, we propose a novel framework to recognize the cognitive and affective processes of brain during neuromarketing-based stimuli using EEG signals. The most crucial component our approach is proposed classification algorithm that based on sparse representation scheme. basic assumption features from or process lie linear subspace. Hence, test signal can be represented as (or weighted) combination signals all classes in training set. class membership determined by adopting Sparse...
Assessing functional decline related to activities of daily living (ADLs) is deemed significant for the early diagnosis dementia. As current assessment methods ADLs often lack ability capture subtle changes, technology-based approaches are perceived as advantageous. Specifically, digital biomarkers emerging, offering a promising avenue research, they allow unobtrusive and objective monitoring. A study was conducted with involvement 36 participants assigned three known groups (Healthy...
Activities of daily living (ADLs) are fundamental routine tasks that the majority physically and mentally healthy people can independently execute. In this paper, we present a semantic framework for detecting problems in ADLs execution, monitored through smart home sensors. context work, conducted pilot study, gathering raw data from various sensors devices installed environment. The proposed combines multiple Semantic Web technologies (i.e., ontology, RDF, triplestore) to handle transform...
Digital health technologies have the potential to alleviate increasing cancer burden. Incorporating patients' perspectives on digital tools has been identified as a critical determinant for their successful uptake in care. The main objective of this scoping review was provide an overview existing evidence and requirements patient-facing technologies. Three databases (CINAHL, MEDLINE, Science Direct) were searched 128 studies eligible inclusion. Web-based software/platforms, mobile or...
Cultural expression is not limited to architecture, monuments or collections of artifacts. It also includes fragile intangible live expressions, which involve knowledge and skills such as music, dance, singing, theatre, human craftsmanship. These manifestations intelligence creativeness constitute our Intangible Heritage (ICH), a basic factor local cultural identity guaranty for sustainable development. In this paper, we briefly introduce the i-Treasures research project, aims at developing...
Brain-computer interfaces (BCIs) have been gaining momentum in making human-computer interaction more natural, especially for people with neuro-muscular disabilities. Among the existing solutions systems relying on electroencephalograms (EEG) occupy most prominent place due to their non-invasiveness. However, process of translating EEG signals into computer commands is far from trivial, since it requires optimization many different parameters that need be tuned jointly. In this report, we...
Aim: To investigate for the first time brain network in Alzheimer's disease (AD) spectrum by implementing a high-density electroencephalography (HD-EEG - EGI GES 300) study with 256 channels order to seek if connectome can be effectively used distinguish cognitive impairment preclinical stages. Methods: Twenty participants AD, 30 mild (MCI), 20 subjective decline (SCD) and 22 healthy controls (HC) were examined detailed neuropsychological battery 10 min resting state HD-EEG. We extracted...
Fueled by early success stories, the neuromarketing domain advanced rapidly during last 10 years. As exciting new techniques were being adapted from medical research to commercial domain, many neuroscientists and marketing practitioners have taken chance exploit them so as uncover answers of most important questions. Among available neuroimaging technologies, electroencephalography (EEG) stands out less invasive affordable method. While not equally precise other technologies in terms spatial...
Abstract Background Alzheimer’s disease (AD) is a progressive neurodegenerative disorder affecting millions worldwide, leading to cognitive and functional decline. Early detection intervention are crucial for enhancing the quality of life patients their families. Remote Monitoring Technologies (RMTs) offer promising solution early by tracking changes in behavioral functions, such as memory, language, problem-solving skills. Timely these symptoms can facilitate intervention, potentially...
Background/Objectives: Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that disrupts functional brain connectivity, leading to cognitive and decline. Electroencephalography (EEG), noninvasive cost-effective technique, has gained attention as promising tool for studying network alterations in AD. This study aims leverage EEG-derived connectivity metrics differentiate between healthy controls (HC), subjective decline (SCD), mild impairment (MCI), AD, offering insights into...
Abstract. In this paper, we present a novel 3D segmentation approach operating on point clouds generated from overlapping images. The aim of the proposed hybrid is to effectively segment co-planar objects, by leveraging structural information originating cloud and visual 2D images, without resorting learning based procedures. More specifically, approach, H-RANSAC, an extension well-known RANSAC plane-fitting algorithm, incorporating additional consistency criterion results segmentation. Our...