A5103177120- Hearing Impairment and Communication
- EEG and Brain-Computer Interfaces
- Hand Gesture Recognition Systems
- Functional Brain Connectivity Studies
- Species Distribution and Climate Change
- Remote Sensing in Agriculture
- Neural dynamics and brain function
- Remote Sensing and LiDAR Applications
- Tactile and Sensory Interactions
- Land Use and Ecosystem Services
- Neural and Behavioral Psychology Studies
- Gait Recognition and Analysis
- Climate change and permafrost
- Geographic Information Systems Studies
- Neurobiology of Language and Bilingualism
- Ecology and Vegetation Dynamics Studies
- Data Management and Algorithms
- Autism Spectrum Disorder Research
- Gaze Tracking and Assistive Technology
- Artificial Intelligence in Education
- Memory and Neural Mechanisms
- Dementia and Cognitive Impairment Research
- Water Quality Monitoring Technologies
- Advanced Neuroimaging Techniques and Applications
- Behavioral and Psychological Studies
Information Technologies Institute
2013-2017
Centre for Research and Technology Hellas
2012-2017
Information Technology Institute
2013
Aristotle University of Thessaloniki
2006-2011
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Sign language forms a communication channel among the deaf; however, automated gesture recognition could further expand their with hearers. In this work, data from five-channel surface electromyogram and 3-D accelerometer signer's dominant hand were analyzed using intrinsic-mode entropy (IMEn) for of Greek sign (GSL) isolated signs. Discriminant analysis was used to identify effective scales...
To support decisions relating to the use and conservation of protected areas surrounds, EU-funded BIOdiversity multi-SOurce monitoring System: from Space TO Species (BIO_SOS) project has developed Earth Observation Data for HAbitat Monitoring (EODHaM) system consistent mapping biodiversity. The EODHaM approach adopted Food Agriculture Organization Land Cover Classification System (LCCS) taxonomy translates mapped classes General Habitat Categories (GHCs) which Annex I habitats (EU Habitats...
Monitoring biodiversity at the level of habitats and landscape is becoming widespread in Europe elsewhere as countries establish international national habitat conservation policies monitoring systems. Earth Observation (EO) data offers a potential solution to long-term through direct mapping or by integrating Land Cover/Use (LC/LU) maps with contextual spatial information situ data. Therefore, it appears necessary develop an automatic/semi-automatic translation framework LC/LU classes...
In this work, analysis of the surface electromyogram (sEMG) signal is proposed for recognition American sign language (ASL) gestures. To purpose, sixteen features are extracted from sEMG acquired user's forearm, and evaluated by Mahalanobis distance criterion. Discriminant used to reduce number in classification signed ASL The tested against noise resulting a further reduced set features, which their discriminant ability. results reveal that 97.7% inspected gestures were correctly recognized...
Sign language (SL) forms an important communication canal for the deaf. In this paper, enhanced SL recognition, by relating individual way of signing with signer's level deafness (LoD) through a novel hybrid adaptive weighting (HAW) process applied to surface electromyogram and 3-D accelerometer data, is proposed. Using LoD-driven genetic algorithm, HAW optimally weights intrinsic modes acquired signals, preparing them sample entropy (SampEn) estimation that follows. The resulting feature...
Recent evidence suggests that cross-frequency coupling (CFC) plays an essential role in multi-scale communication across the brain. The amplitude of high frequency oscillations, responsible for local activity, is modulated by phase lower a task and region-relevant way. In this paper, we examine phase-amplitude two-tone oddball paradigm low bands (delta, theta, alpha, beta) determine most prominent CFCs. Data consisted cortical time series, extracted applying three-dimensional vector field...
Sign language forms a communication channel among the deaf; however, automated gesture recognition could further expand their with hearers. In this work, data from three-dimensional accelerometer and five-channel surface electromyogram of user's dominant forearm are analyzed using intrinsic mode entropy (IMEn) for Greek Language (GSL) gestures. IMEn was estimated various window lengths evaluated by Mahalanobis distance criterion. Discriminant analysis used to identify effective scales...
A novel educational environment for kids with autistic spectrum disorders (ASDs), namely NOESIS, is presented in this paper. NOESIS takes into account ASD kidspsila individual characteristics (level of autism, source sensitivity, reaction target, etc), their emotional state (stress level, hyper-/hypo-tension) during procedure, and creativity guided- self-activity (e.g., gaming). It adapts to each kidpsilas specific through system adaptation self-regulation procedures. Moreover, it provides...
The effect of gender in rapidly allocating attention to objects, features or locations, as reflected brain activity, is examined this study. A visual-attention task, consisting bottom-up (visual pop-out) and top-down search) conditions during stimuli four triangles, i.e., a target three distractors, was engaged. In pop-out condition, both color orientation the distractors differed from target, while search condition they only orientation. During high-density EEG (256 channels) data were...
Understanding of the brain responses to emotional stimulation remains a great challenge. Studies on aging effect in neural activation report controversial results. In this paper, pictures two classes facial affect, i.e., anger and fear, were presented young elderly participants. High-density 256-channel EEG data recorded an innovative methodology was used map activated state at N170 event-related potential component. The methodology, namely 3D Vector Field Tomography, reconstructs...
Earth Observation (EO) images have been extensively used to provide a synoptic view of land cover/use (LC/LU) patterns and changes. Land covers are not as clearly relatable biodiversity in comparison habitat classifications which can more scope for monitoring. The main purpose the paper is an automatic general framework translating LC maps (in LCCS taxonomy) into GHC by means VHR remote sensing data.
An educational software, namely ldquoSEE and SEErdquo, that aims to enhance literacy skills of deaf or hard hearing children is presented in this paper. The proposed computer-based environment, takes into account childrenpsilas visual learning characteristics. software provides a series adjustable functionalities the teacher, so s/he can create visual-kinetic information for each pupil. Moreover, pupils have opportunity use bilateral presentations content, by evoking sign language video text...