Christos P. Antonopoulos

• PhD
• Professor (Associate) at University of Peloponnese

Gesture recognition has a crucial role in Human-Computer Interaction (HCI) and in assisting the elderly to perform automatically their everyday activities. In this paper three methods for gesture recognition and computer vision were implemented and tested in order to investigate the most suitable one. All methods, Machine learning using IMU, Machin...

The main aim of this paper is to present an innovative approach to addressing the challenges of smart mobility exploiting digital twins within the METACITIES initiative. We have worked on this issue due to the increasing complexity of urban transportation systems, coupled with the urgent need to improve efficiency, safety, and sustainability in cit...

The importance of sound recognition and classification systems in various fields has led researchers to seek innovative methods to address these challenges. In this paper, the authors propose a concise yet effective approach for sound recognition and classification by combining spectrogram analysis, Micro-Electro-Mechanical Systems (MEMS) sensors,...

OpenCL is used in contemporary FPGA High-level Synthesis (HLS) design tools for the development of the host-side code which controls the data transfer between the processing system and the FPGA design. High performance FPGA designs in embedded SoC FPGAs often make use of data movers with streaming capabilities for the direct data transfer between t...

The integration of connected and autonomous technologies in safety-critical brought significant system design challenges. These systems are constantly evolving and becoming more complex. With their connection to the cloud and the internet, these safety-critical systems are now exposed to greater risks of cyber-attacks, which poses new challenges to...

In this work, an IoT system with edge computing capability is proposed, facilitating the postoperative surveillance of patients who have undergone knee surgery. The main objective is to reliably identify whether a set of orthopedic rehabilitation exercises is executed correctly, which is critical since it is often necessary to supervise patients du...

A toolset supporting fish detection, orientation, tracking and especially morphological feature estimation with high speed and accuracy, is presented in this paper. It can be exploited in fish farms to automate everyday procedures including size measurement and optimal harvest time estimation, fish health assessment, quantification of feeding needs...

A high-performance Driver State Monitoring (DSM) application for the detection of driver drowsiness is presented in this paper. The popular Ensemble of Regression Trees (ERTs) machine learning method has been employed for the alignment of 68 facial landmarks. Open-source implementation of ERTs for facial shape alignment has been ported to different...

CONTENTS: Lech Jóźwiak, Radovan Stojanović Introduction to the CPS&IoT’2023 Summer School >> Lech Jóźwiak, Green CPS and IoT for Green World>> Sakir Sezer DPU Technology: Redefining next generation Datacenter Security>> Kevin Mika, Piotr Zierhoffer, VEDLIoT – Accelerated AIoT>> Aizea Lojo, Juan Besga, Iñaki Paz, Gianluca Brilli, Paolo Burgio, Marti...

In this work, an IoT system with edge computing capability is proposed facilitating postoperative surveillance of patients who have undergone knee surgery. The main objective is to reliably identify whether a set of orthopedic rehabilitation exercises are executed correctly, which is critical since, it is often necessary to supervise patients durin...

A morphological feature estimation method is presented, that can be used to monitor fish from low contrast underwater images and videos. The fish orientation is classified in order to apply a shape alignment technique that is based on the Ensemble of Regression Trees machine learning method. Shape alignment allows the estimation of fish dimensions...

A high performance Driver State Monitoring (DSM) application for the detection of driver drowsiness is presented in this paper. It relies on the usage of an Ensemble of Regression Trees (ERTs) machine learning method that aligns 68 facial landmarks. Special focus is given on the acceleration of the frame processing using reconfigurable hardware. Re...

Mobile applications that can be used for the training and classification of plant diseases are described in this paper. Professional agronomists can select the species and their diseases that are supported by the developed tool and follow an automatic training procedure using a small number of indicative photographs. The employed classification met...

130 videos are available, captured in Patras, Greece, displaying drivers in real cars, moving under nighttime conditions where drowsiness detection is more important.The participating drivers are: 11 males and 10 females with different features (hair color, beard, glasses, etc). The videos are split in 2 categories: Yawning: the drivers yawn 3 tim...

The integration of connected and autonomous technologies in safety-critical and cyber-physical systems offers great potential in the vital application domains of transportation, manufacturing and aerospace. These technological advancements are necessary to meet the increasing demand for intelligent services, as they open doors to new business model...

Realizing desired properties “by construction” is a highly appealing goal in the design of safety-critical embedded systems. As verification and validation tasks in this domain are often both challenging and time-consuming, the by-construction paradigm is a promising solution to increase design productivity and reduce design errors. In the XANDAR p...

Stress is a highly subjective condition and may largely vary in different contexts. Bio-signals have been widely used by researchers and practitioners to monitor stress levels. Consequently, various bio-signals datasets for stress recognition have been recorded. The most of publicly available physiological datasets have been emotionally annotated i...

From caretaking activities for elderly people to being assistive in healthcare setup, mobile and non-mobile robots have the potential to be highly applicable and serviceable. The ongoing pandemic has shown that human-to-human contact in healthcare institutions and senior homes must be limited. In this scenario, elderlies and immunocompromised indiv...

The growing global epidemic of coronavirus, as well as the shortage in health care professionals, impose protection measures to be taken by citizens themselves. One of these measures is social distancing. In an autonomous and assisted living environment a set of technologies can offer protection to the tenants by monitoring the individuals' distanc...

The next generation of networked embedded systems (ES) necessitates rapid prototyping and high performance while maintaining key qualities like trustworthiness and safety. However, development of safety-critical ES suffers from complex software (SW) toolchains and engineering processes. Moreover, the current trend in autonomous systems, which relie...

Physiological measurements have been widely used by researchers and practitioners in order to address the stress detection challenge. So far, various datasets for stress detection have been recorded and are available to the research community for testing and benchmarking. The majority of the stress-related available datasets have been recorded whil...

The shortage in health care professionals is expected to create demands for Ambient Assisted Living (AAL) technology that helps to prolong independent living of individuals facing various challenges (e.g., the elderly, people with various disabilities, etc.). It will allow health care professionals to remotely monitor and support these individuals...

Edge detection is one of the most common operations needed in the image processing domain. In this work, alternative implementations of the Sobel algorithm are tested on a ZCU102 Xilinx embedded platform, demonstrating how different optimization techniques can be conveniently configured in Xilinx Vitis environment. We exploit (a) Xilinx Runtime lib...

Health care platforms rapidly shift toward the ICT-based solutions. In this context, a wide range of consumer electronics technologies come into play ranging from robotics, embedded systems, sensors, and communication infrastructures. Driven by such observations, the H2020 RADIO project set forward a service-oriented, easily expandable design parad...

In recent years, there has been a growing trend to increase the inclusion of robotic platforms in Ambient Assisted Living (AAL) environments as assistive robots, the main goal of which is to extend independent living and improve quality of life of the elderly. The use of robotic platforms plays an increasingly critical role in the daily life, espec...

In the context of H2020 RADIO project, a novel approach is proposed exploiting low power mobile robotic embedded systems toward enhancing quality of life of the elderly users in their domestic environments. Consequently, unobtrusiveness is of paramount importance. However, the utilization of state-of-the-art robotic platforms in real-life scenarios...

Honored to serve as Guest Editor at this very interesting Special Issue being part of an Open Access Journal of such high IF. Happy to receive and consider original and of added value submissions.

Cyber-Physical Systems (CPS) comprise a rapidly expanding research domain incorporating various diverse ICT aspects. Consequently, such systems are characterized by high degree of heterogeneity regarding communication, hardware and software technologies. Additionally, a high number of challenges must be tackled before such horizontal architectures...

This paper presents a SLAM technique that does not use odometer information. It is based on HECTOR SLAM method from Technische Universitat of Darmstadt, but using a different hardware from the proposed and finally without the use of IMU device. The method is based on modified settings of the HECTOR SLAM method and manages to optimize the method bas...

Age-related impairments influence the way people use computer systems and devices. Research in the HCI and usability domains has offered guidelines and methods that guide the design and the evaluation of applications targeting the steadily growing aging population. This chapter presents the RADIO GUI emphasizing on the interaction and user interfac...

In the context of RADIO project, seamless integration of Robotic platform, heterogenous home automation technologies and diverse back infrastructures comprised an integral challenge to the success of the overall endeavor. This observation gave the involved partners the chance to explore difference technological and design approaches in order to yie...

The EU-funded project RADIO brings forward a new healthcare paradigm according to which a mobile robotic platform can act as an assistant to an elderly person in his/her domestic environment. The main goal of the robot is to detect ADL (Activities of Daily Life) related to basic self-care tasks, such as sleeping and taking medications, as well as i...

A personal assistance, is a software component offering advanced Human Machine Interface (HMI) features by initiating and currying out "conversations" between humans and machines. Its main objective is to identify the sentences and the context from human's question and respectively give an adequate response to the question posed. The proper respons...

The EU-funded project RADIO brings forward a new health care paradigm according to which a mobile robotic platform can act as assistant to an elderly person in his/her domestic environment. Under this context, unobtrusiveness is of paramount importance since the robot should be a natural participant of patients’ daily life. However, robot assistanc...

In the context of RADIO project, seamless integration of Robotic platform, heterogenous home automation technologies and diverse back infrastructures comprised an integral challenge to the success of the overall endeavor. This observation gave the involved partners the chance to explore difference technological and design approaches in order to yie...

Flight 4.0 represents a rapidly expanding research domain that brings IoT (Internet of Things) technology in the aviation domain. Based on various engineering domains such as Wireless Sensor Networks (WSNs) and embedded systems, Flight 4.0 systems are characterized by high degree of heterogeneity regarding various perspectives, such as communicatio...

Demographic and epidemiologic transitions have brought a new health care paradigm where life expectancy is increasing as well as the need for long-term care. To meet the resulting challenge, healthcare systems need to take full advantage of new opportunities offered by technical advancements in ICT. The RADIO project explores a novel approach to us...

Wireless Sensor Networks (WSNs) are attracting active and increasing research interest in various application fields including industrial control and environmental applications. In such cases accurate event detection is of utmost importance, thus sensors' data need to be fused through a sophisticated process (i.e. data mining algorithms). In this c...

WSNs as adopted in current smart city deployments, must address demanding traffic factors and resilience in failures. Furthermore, caching of data in WSN can significantly benefit resource conservation and network performance. However, data sources generate data volumes that could not fit in the restricted data cache resources of the caching nodes....

This book constitutes the proceedings of the 14th International Conference on Applied Reconfigurable Computing, ARC 2018, held in Santorini, Greece, in May 2018. The 29 full papers and 22 short presented in this volume were carefully reviewed and selected from 78 submissions. In addition, the volume contains 9 contributions from research projects....

Accurate and reliable door detection comprise a critical cornerstone for nowadays robots aiming to offer advanced features and services. At the same time, the range of robotic platforms for indoor scenarios is continuously expanding , emphasizing on the use of low cost, versatile components able to boost widespread use of such solutions. However, r...

Accurate and reliable door detection comprise a critical cornerstone for nowadays robots aiming to offer advanced features and services. At the same time, the range of robotic platforms for indoor scenarios is continuously expanding , emphasizing on the use of low cost, versatile components able to boost widespread use of such solutions. However, r...

Accurate and reliable door detection comprise a critical cornerstone for nowadays robots aiming to offer advanced features and services. At the same time, the range of robotic platforms for indoor scenarios is continuously expanding , emphasizing on the use of low cost, versatile components able to boost widespread use of such solutions. However, r...

Accurate and reliable door detection comprise a critical cornerstone for nowadays robots aiming to offer advanced features and services. At the same time, the range of robotic platforms for indoor scenarios is continuously expanding , emphasizing on the use of low cost, versatile components able to boost widespread use of such solutions. However, r...

This chapter provides an overview of the most common wired and wireless protocols which can be used in building automation and building management systems. In addition, it provides insight to the KNX standard for home and building automation by providing architectural and functional details of what we will name as "KNX of Things," emphasizing on as...

For highly demanding scenarios such as continuous bio-signal monitoring, transmitting excessive volumes of data wirelessly comprises one of the most critical challenges. This is due to the resource limitations posed by typical hardware and communication technologies. Driven by such shortcomings, this paper aims at addressing the respective deficien...

Wireless sensor and actor networks (WSANs) have emerged as a promising research field and have been applied in a wide variety of application domains due to their capability of environment monitoring, event data processing, and decision-making by aiming at performing appropriate actions interacting with the environment. Coordination mechanisms among...

Fuzzy logic represents a well-suited data processing approach for state-of-the-art and future WSN networks utilized in demanding CPS applications. However, efficient execution of such systems require respective optimization approaches taking into consideration specific limitations, requirements, and particularities posed by WSNs networks that are n...

Wireless sensor networks (WSNs) comprise a cornerstone to state-of-the-art and future CyberPhysical systems. Respective networking domain is characterized by a drastically different communication paradigm compared to typical wireless networks offering flexible, dynamically adaptive, low power yet reliable and robust data exchange capabilities. In t...

Home Automation Systems comprises a rapidly evolving research domain as well as a commercial filed. This is due to, on one hand, the increasing demands for Ambient Assisted Living environment, 24/7 monitoring and security, comfort control, power management and many application scenarios. On the other hand, respective solutions are required to addre...

During the last few years, short range wireless communication technologies are increasingly utilized in highly demanding applications characterized by strict performance and security demands. Among various respective communication technologies Bluetooth comprises a prominent candidate founding its way in a wide variety of commercial products. Respe...

The purpose of this chapter is to offer a survey of the EU funded projects within the scope of Internet of Things and ambient assisted living (AAL) environments. Our analysis concentrates on three main aspects: on the projects’ technical objectives, on the target population group, and on the in-field trials and planned use-cases of each project. Fo...

In this article we present the main results obtained in the ARTEMIS-JU WSN-DPCM project between October 2011 and September 2015. The first objective of the project was the development of an integrated toolset for Wireless sensor networks (WSN) application planning, development, commissioning and maintenance, which aims to support application domain...

Demographic and epidemiologic transitions have brought forward a new health care paradigm with the presence of both growing elderly population and chronic diseases. Recent technological advances can support elderly people in their domestic environment assuming that several ethical and clinical requirements can be met. This paper presents an archite...

Wireless sensor networks based on miniaturized ultra low power nodes are increasingly utilized in highly demanding cyberphysical systems required to offer extended time periods of non-intrusive and unattended monitoring of specific biophysical signals. However, although significant performance enhancements are offered by state of the art WSN platfo...

During the last few years, medical research areas of critical importance such as Epilepsy monitoring and study, increasingly utilize Wireless Sensor Network technologies in order to achieve better understanding and significant breakthroughs. However, the limited memory and communication bandwidth offered by WSN platforms comprise a significant shor...

Event detection in realistic WSN environments is a critical research domain, while the environmental monitoring comprises one of its most pronounced applications. Although efforts related to the environmental applications have been presented in the current literature, there is a significant lack of investigation on the performance of such systems,...

Communication comprises the most power consuming operation that a sensor node performs. In this work we present a topology reduction algorithm and perform pre-deployment simulations of a senor network and analyze the initial topology for possibility of links reduction. The alternative link-reduced topologies are analyzed and compared against the in...

Connectivity is crucial feature of every network and assuring it, is fundamental for the network operation and efficiency. This work presents a connectivity evaluation algorithm based on graph theory methods, which can be used for simulation and analysis of the network regarding its connectivity in pre-deployment phase. For each network topology th...

Epilepsies affect 1–2 % of general population, especially in childhood and adolescence. Epileptic seizures, manifest with a wide range of paroxysmally recurring motor, cognitive, affective, and autonomic symptoms and EEG changes. Their recognition and full understanding is the basis of their optimal management. The yield of epilepsy diagnosis is co...

A cyberphysical system for multiparametric monitoring and analysis of patients with epilepsy needs the possibility to assess a variety of different sensor signals, transmit these signals into a central online system (electronic health record, database) and analyze the data to give a feedback to the patient or the clinician. The architecture of such...

Multiparametric monitoring represents the assessment of physiological, behavioral and/or subjective, data with mobile sensor systems. Recent technological developments like low power microcontrollers, low power wireless standards such as Bluetooth Low Energy or Smartphones with an increasing computing capacity enhance the development of small and d...

This document defines the middleware of a cyberphysical monitoring system for epilepsy and related brain disorders. Taking into account requirements, this document provides insights about the service functionalities of the middleware and the interfaces connecting the different technologies in place within the system middleware. The document is divi...

Significant advances in various Wireless Sensor Network (WSN) domains during the last years have highlighted the trend of utilizing respective implementations in increasingly demanding applications. Towards such objective, extreme energy limitation comprises probably the most notorious challenge engineers must tackle. In that respect, optimal energ...