Grammalidis Nikos

• PhD on Electrical and Computer Engineering
• Senior Researcher at Centre for Research and Technology Hellas

Rural areas encompass an abundance of cultural and natural heritage that offers great potential for attracting tourism. Nevertheless, many of these regions are neglected and deserted, facing many hard problems like limited job opportunities, poverty, low literacy rates, and a lack of basic infrastructures. In order to deal with these problems, we n...

Sustainable forest and emergency management require comprehensive data on the forest road network and its condition. This paper presents the final framework of the INFOROAD project (https://inforoad.karteco.gr/), which integrates cutting-edge remote sensing and machine learning technologies for automated periodic extraction and monitoring of the fo...

Parkinson’s disease (PD), the second most prevalent neurodegenerative condition, lacks a cure, but its symptoms can be managed. Its complex diagnosis and assessment need ongoing monitoring, highlighting the potential use of digital assessment tools for enhancing patient management, even outside the clinical settings. In this vein, this paper propos...

The role of forest and rural road network is very important and multifaceted for: a) the exploitation of forests/fields and movement of the staff involved in their management and protection, b) access to existing technical facilities, c) tourism and recreation and d) harvesting and transport of products. Hence, it is important to systematically rec...

People with Intellectual Disability (ID) encounter several problems in their daily living regarding their needs, activities, interrelationships, and communication. In this paper, an interactive platform is proposed, aiming to provide personalized recommendations for information and entertainment, including creative and educational activities, tailo...

People with Intellectual Disability (ID) encounter several problems in their daily living regarding their needs, activities, interrelationships, and communication. On this concept, an interactive platform is proposed, aiming to provide personalized recommendations for information and entertainment, including creative and educational activities, tai...

Soil erosion is considered one of the most dynamic and complex environmental as well as economic issues in Mediterranean. It is a natural process that represents nowadays one of the most serious land degradation problems. It threats sustainability causing negative downstream impact such as sedimentation in rivers and reservoirs, reducing their stor...

Nowadays, different machine learning approaches, either conventional or more advanced, use input from different remote sensing imagery for land cover classification and associated decision making. However, most approaches rely heavily on time-consuming tasks to gather accurate annotation data. Furthermore, downloading and pre-processing remote sens...

In the current context of climate change and demographic expansion, one of the phenomena that humanity faces are the suburban wildfires. To prevent the occurrence of suburban forest fires, fire risk assessment and early fire detection approaches need to be applied. Forest fire risk mapping depends on various factors and contributes to the identific...

The cultural heritage sector has often acted as catalyst in allowing groups to coexist harmonically by investing in intercultural dialogue. Nonetheless, the vast majority of cultural experiences offered by cultural institutions rarely take provisions to make such experiences inclusive for groups with diverse sociocultural characteristics. In this c...

Using modern information and communication technologies, WebGIS and deep machine learning, a web platform called SmartBeeKeep was developed consisting of four distinct business parts: (a) the web application which on the one hand collects and presents all the geospatial and descriptive beekeeping information generated by the beekeeper, through the...

Today’s remote sensing data and technologies offer the capability to effectively monitor diverse and challenging environments around the world, such as coastal river and riparian zones. Coastal riparian zones and river deltas usually demonstrate extreme coastline changes in terms of the extent of water coverage of inland territories due to flood ev...

Nowadays, coastal areas are exposed to multiple hazards of increasing severity, such as coastal floods, erosion, subsidence due to a combination of natural and anthropogenic factors, including climate change and urbanisation. In order to cope with these challenges, new remote sensing monitoring solutions are required that are based on knowledge ext...

In recent years the availability of satellite image observations of Earth has been increasing, creating opportunities for automated methods to be applied in tasks with significant economic importance, such as agricultural parcel crop classification. Designing and implementing automated methods that can efficiently interpret satellite images and han...

The assessment of soil erosion in the framework of environmental protection and coastal management is considered of major importance since anthropogenic pressures have a significant contribution to the degradation of the coastal environment. In this paper, a webGIS application was designed and developed to visualize the average annual and seasonal...

Popular/folk culture, mainly expressed through music and dance performances, was always very important for human societies. In addition to offering entertainment and being a tourist attraction, it can convey different messages according to the context, such as aesthetic/artistic, cultural, religious/spiritual and/or social aspects. Therefore, it is...

Human-Computer Interaction (HCI) and games set a new domain in understanding people’s motivations in gaming, behavioral implications of game play, game adaptation to player preferences and needs for increased engaging experiences in the context of HCI serious games (HCI-SGs). When the latter relate with people’s health status, they can become a par...

The environmental challenges the world faces nowadays have never been greater or more complex. Global areas covered by forests and urban woodlands are threatened by natural disasters that have increased dramatically during the last decades, in terms of both frequency and magnitude. Large-scale forest fires are one of the most harmful natural hazard...

The environmental challenges the world faces have never been greater or more complex. Global areas that are covered by forests and urban woodlands are threatened by large-scale forest fires that have increased dramatically during the last decades in Europe and worldwide, in terms of both frequency and magnitude. To this end, rapid advances in remot...

The primary manifestations of Parkinson Disease (PD) concern abnormalities of movement associated with the constant deterioration of motor skills. Such motor impairment affects patients’ movement accuracy and coordination, disrupting their daily life. Taking into account recent studies stating that computer-based physical therapy games can be used...

Being the second most common neurodegenerative disease, Parkinson's disease (PD) can be symptomatically treated, although, unfortunately, it cannot be cured yet. Moreover, diagnosing and assessing PD patients is a complex process, requiring continuous monitoring. In this vein, the design, development, and validation of innovative assessment tools m...

People with intellectual disabilities (ID) encounter several problems regarding the interaction with their environment in terms of their daily needs, activities and communication. On this concept, an interactive support system with multiple functionalities is proposed, aiming at optimizing the opportunities provided to people with ID in order to co...

Convolutional neural networks (CNNs) have resurged lately due to their state-of-the-art performance in various disciplines, such as computer vision, audio and text processing. However, CNNs have not been widely employed for remote sensing applications. In this paper, we propose a CNN architecture, named Modular-CNN, to improve the performance of bu...

Hypomimia, i.e. reduction in the expressiveness of the face, is a cardinal sign of the PD, often present at its early stages. Within the EU-funded i-Prognosis project (http://www.i-prognosis.eu), early and unobtrusive Parkinson's disease detection tests are developed, based on the interaction of users with everyday technological devices. The selfie...

Electrocardiogram is commonly used as a diagnostic tool for the monitoring of cardiac health and the detection of possible heart diseases. However, the procedure followed for the diagnosis of heart abnormalities is time consuming and prone to human errors. Thus, the development of computer-aided techniques for the automatic analysis of electrocardi...

Parkinson's disease (PD) is a progressive neurological disorder and the second most common age-related neurodegenerative disease after Alzheimer's disease. The primary symptoms of the disease are associated with the loss of motor skills affecting patients' movement and coordination and disrupting their daily life. Unfortunately, such motor symptoms...

During the visual examination of the biopsy specimen of the tissue, pathologists look for certain features that can help them predict disease prognosis. The grading of the invasive breast carcinoma is classified into a three-point scale: Grade 1, 2, 3.[1] However, the visual qualitative assessment is a labor and time-consuming task[2] and results i...

In the Mediterranean region, many types of forests are non-productive or degraded, although they could substantially contribute to growth of local economies. In Greece, 30% of the total area is covered by forests, however their contribution to the GDP is almost non-existent. An example is the chestnut production in Thessaly region of Greece, and es...

In this paper, we propose a novel image-based fire detection approach, which combines the power of modern deep learning networks with multidimensional texture analysis based on higher-order linear dynamical systems. The candidate fire regions are identified by a Faster R-CNN network trained for the task of fire detection using a set of annotated im...

According to UNESCO, cultural heritage does not only include monuments and collections of objects, but also contains traditions or living expressions inherited from our ancestors and passed to our descendants. Folk dances represent part of cultural heritage and their preservation for the next generations appears of major importance. Digitization an...

As of the early twentieth century, a significant body of research has been published that shows how effective game-based learning and gamification techniques can be, compared to other methods. These technologies are also very important for the learning and transmission of intangible cultural heritage (ICH) creations, which include, among others, da...

Durch das internationale Virtual-Multimodal-Museum-Netzwerk (ViMM) wurde im Herbst 2017 eine Online-Umfrage zu gegenwärtigen Herausforderungen, Entwicklungsmöglichkeiten sowie Stakeholdern auf dem Gebiet des digitalen Kulturerbes durchgeführt. Der Online-Fragebogen enthielt vier Fragen zur freien Beantwortung. Die Einladung zur Umfrage wurde als Em...

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 and are modified over a period of time, through a process of collective recreation. As the world becomes more interconnected and many dif...

It is a fact that states and international organizations are trying to protect and promote intangible cultural heritage. According to UNESCO intangible cultural heritage includes traditions or living expressions inherited from our ancestors and passed on to our descendants. Folk dances are an important part of our intangible cultural heritage, so t...

Wood recognition is a crucial task for wood sciences and industries, since it leads to the identification of the anatomical features and physical properties of wood. Traditionally, the recognition process relies almost exclusively on human experts, who are based on various characteristics of wood, such as color, structure and texture. However, ther...

i-Treasures και εξετάζουμε πώς οι νέες τεχνολογίες που προτείνονται από το έργο μπορούν να συμβάλουν στην διατήρηση και διάδοση ενός παραδοσιακού χορού που στην περίπτωσή μας είναι ο χορός «Ζάμαντας». Το δρώμενο πραγματοποιείται στο χωριό Πεντάπολη, 13 χλμ.έξω από τις Σέρρες, στο πανηγύρι της Ζωοδόχου Πηγής το Πάσχα. Επιπρόσθετα, εξηγούμε γιατί ο «...

As of the early 20th century, a significant body of research has been published that shows how effective game-based learning and gamification techniques can be compared to other methods. However, creating games can be time consuming and usually demands a significant effort. Therefore, this paper focuses on the design and development of a novel fram...

In this paper we address the problem of automated grading of invasive breast carcinoma through the encoding of histological images as VLAD (Vector of Locally Aggregated Descriptors) representations on the Grassmann manifold. The proposed method considers each image as a set of multidimensional spatially-evolving signals that can be efficiently mode...

The use of serious games in health care interventions sector has grown rapidly in the last years, however, there is still a gap in the understanding on how these types of interventions are used for the management of the Parkinson Disease (PD), in particular. Targeting intelligent early detection and intervention in PD area, the Personalized Game Su...

Intangible cultural heritage (ICH) is a relatively recent term coined to represent living cultural expressions and practices, which are recognised by communities as distinct aspects of identity. The safeguarding of ICH has become a topic of international concern primarily through the work of United Nations Educational, Scientific and Cultural Organ...

The possibility of accurate recognition of folk dance patterns is investigated in this paper. System inputs are raw skeleton data, provided by a low cost sensor. In particular, data were obtained by monitoring three professional dancers, using a Kinect II sensor. A set of six traditional Greek dances (without their variations) consists the investig...

In this paper, we propose a novel framework for the detection and classification of centroblasts (CB) in Follicular Lymphoma (FL) tissue samples stained with PAX5 and H&E stains and sliced at 1μm thickness level. By employing PAX5 immunohistochemistry, we facilitate the segmentation of nuclei, while the use of H&E stain enables us to extract textur...

In this paper, the user requirements, along with the methodology adopted towards their identification within the i-PROGNOSIS framework (www.i-prognosis.eu), are presented. The latter are placed within the concept of active and healthy ageing (AHA), focusing on the case of Parkinson's Disease (PD) patients' support. The bases for the user requiremen...

In this paper we address the problem of classifying multidimensional time-evolving data in dynamic scenes. To take advantage of the correlation between the different channels of data, we introduce a generalized form of a stabilized higherorder linear dynamical system (sh-LDS) and we represent the multidimensional signal as a third order tensor. In...

Automated centroblast (CB) detection in Follicular Lymphoma (FL) tissue samples has recently attracted significant research interest. Most of the methods described in the literature are based on the use of Hematoxilin and Eosin (H&E) stain. However, the automated detection of CBs from H&E stained images remains a challenging issue. To this end, thi...

Building detection from two-dimensional high-resolution satellite images is a computer vision, photogrammetry, and remote sensing task that has arisen in the last decades with the advances in sensors technology and can be utilized in several applications that require the creation of urban maps or the study of urban changes. However, the variety of...

In this paper, we introduce the i-Treasures Intangible Cultural Heritage (ICH) dataset, a freely available collection of multimodal data captured from different forms of rare ICH. More specifically, the dataset contains video, audio, depth, motion capture data and other modalities, such as EEG or ultrasound data. It also includes (manual) annotatio...

In this paper we address the problem of extracting dynamics from multi-dimensional time-evolving data. To this end, we propose a linear dynamical model (LDS), which is based on the higher order decomposition of the observation data. In this way, we are able to extract a new descriptor for analyzing data of multiple elements coming from of the same...

In this paper we consider the problem of multidimensional dynamic texture analysis and we introduce a new higher order linear dynamical systems (h-LDS) descriptor. The proposed h-LDS descriptor is based on the higher order decomposition of the multidimensional image data and enables the analysis of dynamic textures using information from various im...

Outdoor large-scale cultural sites are mostly sensitive to environmental, natural and human made factors, implying an imminent need for a spatio-temporal assessment to identify regions of potential cultural interest (material degradation, structuring, conservation). On the other hand, in Cultural Heritage research quite different actors are involve...

Game-based learning and gamification techniques are recently becoming a popular trend in the field of Technology Enhanced Learning. In this paper, we mainly focus on the use of game design elements for the transmission of Intangible Cultural Heritage (ICH) knowledge and, especially, for the learning of traditional dances. More specifically, we pres...

Human body motion tracking is important for a large variety of applications e.g., entertainemnt, human computer interaction, creative intudstry etc. Μarker-based motion capture systems offer accurate motion tracking, however, they cannot be widely used due to their high cost and operational complexity. To this end, emerging depth sensing technologi...

The deliverable contains the updated and revised requirements of the i-Treasures platform.

In this paper, we propose a method for the partitioning of dance sequences into multiple periods and motion patterns. The proposed method deploys features in the form of a skeletal representation of the dancer observed through time using multiple depth sensors. This representation is the fusion of skeletal features captured using multiple sensors a...

This paper introduces a predictive (selective) 4D modelling framework where only the spatial 3D differences are modelled at the forthcoming time instances, while regions of no significant spatial-temporal alterations remain intact. To accomplish this, initially spatial-temporal analysis is applied between 3D digital models captured at different tim...

The main objective of the EU FP7 ICT i-Treasures project is to build a public and expandable platform to enable learning and transmission of rare know-how of intangible cultural heritage. A core part of this platform consists of game-like applications able to support teaching and learning processes in the ICH field. We have designed and developed f...

The paper deals with the adoption of Serious Games (SGs) in the specific area of Intangible Cultural Heritage Education (ICH). The transmission of some cultural expressions, like rare traditional singing or dancing, is more related to the acquisition of procedural knowledge (i.e. how to perform some tasks, like a dance step) rather than to declarat...

Every year, a large number of wildfires all over the world burn forested lands, causing adverse ecological, economic, and social impacts. Beyond taking precautionary measures, early warning and immediate response are the only ways to avoid great losses. To this end, in this paper we propose a computer vision approach for fire-flame detection to be...

Building segmentation from 2D images can be a very challenging task due to the variety of objects that appear in an urban environment. Many algorithms that attempt to automatically extract buildings from satellite images face serious problems and limitations. In this paper, we address some of these problems by applying a novel approach that is base...

An important cue that can assist towards an accurate building detection and segmentation is 3D information. Because of their height, buildings can easily be distinguished from the ground and small objects, allowing for their successful segmentation. Unfortunately, 3D knowledge is not always available, but there are ways to infer 3D information from...

In this paper, a complete methodology for automatic detection of centroblasts (CBs) in microscopic images acquired from tissue biopsies of follicular lymphoma is presented. In the proposed method, tissue sections are sliced at a low thickness level, around 1–1.5 (Formula presented.)m, which provides a more detailed depiction of the nuclei and other...

In this paper, we propose a novel method for video-based smoke detection, which aims to discriminate smoke from smoke-colored moving objects by applying spatio-temporal analysis, smoke motion modeling and dynamic texture recognition. Initially, candidate smoke regions in a frame are identified using background subtraction and color analysis based o...

In this paper we introduce Multi-Entity Bayesian Networks (MEBNs) as the means to combine first-order logic with probabilistic inference and facilitate the semantic analysis of Intangible Cultural Heritage (ICH) content. First, we mention the need to capture and maintain ICH manifestations for the safeguarding of cultural treasures. Second, we pres...

This paper presents a new method for discriminating centroblast (CB) from non-centroblast cells in microscopic images acquired from tissue biopsies of follicular lymphoma. In the proposed method tissue sections are sliced at a low thickness level, around 1-1.5um, which provides a more detailed depiction of the nuclei and other textural information...

In this paper, we describe a novel methodology for dance learning and evaluation using multi-sensor and 3D gaming technology. The learners are captured during dancing, while an avatar visualizes their motion using fused input from multiple sensors. Motion analysis and fuzzy - logic are employed for the evaluation of the learners’ performance agains...

This paper presents a complete framework for automatic detection of malignant cells in microscopic images acquired from tissue biopsies of follicular lymphoma. After pre-processing to remove noise and suppress small details, images are segmented by using intensity thresholding, in order to detect the cell nuclei. Subsequently, touching cells are be...

The analysis, modelling, transmission and promotion of traditional dances are important areas where information technologies can make a significant contribution. In this paper, we focus on technologies related to the motion capture systems of human movement and present a methodology based on the use of multiple depth sensors. Specifically, the prop...

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 skills and craftsmanship. These manifestations of human intelligence and creativeness constitute our Intangible Cultural Her...

In this paper we present a method for body motion analysis in dance using multiple Kinect sensors. The proposed method applies fusion to combine the skeletal tracking data of multiple sensors in order to solve occlusion and self-occlusion tracking problems and increase the robustness of skeletal tracking. The fused skeletal data is split into five...