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Thanos G. Stavropoulos
Centre for Research and Technology Hellas

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Conference paper
Published: 10 September 2020 in Advances in Intelligent Systems and Computing
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This paper presents eHealth4MS, an assistive technology system based on wearable trackers to support the care of Multiple Sclerosis (MS). Initially, the system integrates a tracker and a smartphone to collect and unanimously store movement, sleep and heart rate (HR) data in an ontology-based knowledge base. Then, ontology patterns are used to provide an initial approach to detect problems and symptoms of interest, such as lack of movement, stress or pain, insomnia, excessive sleep, lack of sleep and restlessness. Finally, the system visualizes data trends and detected problems in dashboards and apps. This will allow patients to self-manage and for clinicians to drive effective and timely interventions and to monitor progress in future trials to evaluate the system’s accuracy and effectiveness.

ACS Style

Thanos G. Stavropoulos; Georgios Meditskos; Sotirios Papagiannopoulos; Ioannis Kompatsiaris. eHealth4MS: Problem Detection from Wearable Activity Trackers to Support the Care of Multiple Sclerosis. Advances in Intelligent Systems and Computing 2020, 3 -12.

AMA Style

Thanos G. Stavropoulos, Georgios Meditskos, Sotirios Papagiannopoulos, Ioannis Kompatsiaris. eHealth4MS: Problem Detection from Wearable Activity Trackers to Support the Care of Multiple Sclerosis. Advances in Intelligent Systems and Computing. 2020; ():3-12.

Chicago/Turabian Style

Thanos G. Stavropoulos; Georgios Meditskos; Sotirios Papagiannopoulos; Ioannis Kompatsiaris. 2020. "eHealth4MS: Problem Detection from Wearable Activity Trackers to Support the Care of Multiple Sclerosis." Advances in Intelligent Systems and Computing , no. : 3-12.

Conference paper
Published: 10 September 2020 in Advances in Intelligent Systems and Computing
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Currently, Active and Healthy Ageing (AHA) IoT solutions for the global ageing population, remain segmented. The ACTIVAGE project aims to integrate prevalent IoT platforms, enhanced with data analytics, developer, deployment, security and privacy tools to enable large-scale AHA pilots all over Europe. This paper presents the ACTIVAGE Marketplace, a one-stop-shop for developers to provide and for end-users, carers and healthcare professionals to discover AHA IoT Apps. The Marketplace offers standard functionality such as Developers uploading, monetizing and tracking analytics for their Apps, Users discovering, buying and downloading them, as well as Administrators managing and moderating content. In addition, it offers its own, hybrid logic- and text-based method to discover alternatives from the wide variety of Apps, from sensor behavioral monitoring to exergames or pill reminder interventions. For this purpose, the Marketplace ontology defines App semantic properties, such as a hierarchy of App Categories, combined with keyword-based text-similarity search.

ACS Style

Thanos G. Stavropoulos; Dimitris Strantsalis; Spiros Nikolopoulos; Ioannis Kompatsiaris. The ACTIVAGE Marketplace: Hybrid Logic- and Text-Based Discovery of Active and Healthy Ageing IoT Applications. Advances in Intelligent Systems and Computing 2020, 24 -33.

AMA Style

Thanos G. Stavropoulos, Dimitris Strantsalis, Spiros Nikolopoulos, Ioannis Kompatsiaris. The ACTIVAGE Marketplace: Hybrid Logic- and Text-Based Discovery of Active and Healthy Ageing IoT Applications. Advances in Intelligent Systems and Computing. 2020; ():24-33.

Chicago/Turabian Style

Thanos G. Stavropoulos; Dimitris Strantsalis; Spiros Nikolopoulos; Ioannis Kompatsiaris. 2020. "The ACTIVAGE Marketplace: Hybrid Logic- and Text-Based Discovery of Active and Healthy Ageing IoT Applications." Advances in Intelligent Systems and Computing , no. : 24-33.

Review
Published: 16 May 2020 in Sensors
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The increasing ageing global population is causing an upsurge in ailments related to old age, primarily dementia and Alzheimer’s disease, frailty, Parkinson’s, and cardiovascular disease, but also a general need for general eldercare as well as active and healthy ageing. In turn, there is a need for constant monitoring and assistance, intervention, and support, causing a considerable financial and human burden on individuals and their caregivers. Interconnected sensing technology, such as IoT wearables and devices, present a promising solution for objective, reliable, and remote monitoring, assessment, and support through ambient assisted living. This paper presents a review of such solutions including both earlier review studies and individual case studies, rapidly evolving in the last decade. In doing so, it examines and categorizes them according to common aspects of interest such as health focus, from specific ailments to general eldercare; IoT technologies, from wearables to smart home sensors; aims, from assessment to fall detection and indoor positioning to intervention; and experimental evaluation participants duration and outcome measures, from acceptability to accuracy. Statistics drawn from this categorization aim to outline the current state-of-the-art, as well as trends and effective practices for the future of effective, accessible, and acceptable eldercare with technology.

ACS Style

Thanos G. Stavropoulos; Asterios Papastergiou; Lampros Mpaltadoros; Spiros Nikolopoulos; Ioannis Kompatsiaris. IoT Wearable Sensors and Devices in Elderly Care: A Literature Review. Sensors 2020, 20, 2826 .

AMA Style

Thanos G. Stavropoulos, Asterios Papastergiou, Lampros Mpaltadoros, Spiros Nikolopoulos, Ioannis Kompatsiaris. IoT Wearable Sensors and Devices in Elderly Care: A Literature Review. Sensors. 2020; 20 (10):2826.

Chicago/Turabian Style

Thanos G. Stavropoulos; Asterios Papastergiou; Lampros Mpaltadoros; Spiros Nikolopoulos; Ioannis Kompatsiaris. 2020. "IoT Wearable Sensors and Devices in Elderly Care: A Literature Review." Sensors 20, no. 10: 2826.

Journal article
Published: 01 February 2018 in Journal of Visual Communication and Image Representation
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ACS Style

Georgios Meditskos; Pierre-Marie Plans; Thanos G. Stavropoulos; Jenny Benois-Pineau; Vincent Buso; Ioannis Kompatsiaris. Multi-modal activity recognition from egocentric vision, semantic enrichment and lifelogging applications for the care of dementia. Journal of Visual Communication and Image Representation 2018, 51, 169 -190.

AMA Style

Georgios Meditskos, Pierre-Marie Plans, Thanos G. Stavropoulos, Jenny Benois-Pineau, Vincent Buso, Ioannis Kompatsiaris. Multi-modal activity recognition from egocentric vision, semantic enrichment and lifelogging applications for the care of dementia. Journal of Visual Communication and Image Representation. 2018; 51 ():169-190.

Chicago/Turabian Style

Georgios Meditskos; Pierre-Marie Plans; Thanos G. Stavropoulos; Jenny Benois-Pineau; Vincent Buso; Ioannis Kompatsiaris. 2018. "Multi-modal activity recognition from egocentric vision, semantic enrichment and lifelogging applications for the care of dementia." Journal of Visual Communication and Image Representation 51, no. : 169-190.

Chapter
Published: 01 January 2018 in Wearable Technologies
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DemaWare is a Service-Oriented platform that aids in the timely assessment and monitoring of people with dementia in an Ambient Assisted Living context. This work presents in detail the underlying modules integrated in DemaWare, providing both software and hardware services. The system coordinates the retrieval of raw sensor data from a variety of sources, such as ambient and wearable sensors, and their processing into a common knowledge base. The semantic interpretation performed afterwards reasons upon collected knowledge and infers higher level observations. Finally, all knowledge is presented in suitable end-user applications that support various scenarios, e.g. lab assessment trials and monitoring in nursing home environments.

ACS Style

Thanos G. Stavropoulos; Georgios Meditskos; Efstratios Kontopoulos; Ioannis Kompatsiaris. Multi-Sensing Monitoring and Knowledge-Driven Analysis for Dementia Assessment. Wearable Technologies 2018, 297 -313.

AMA Style

Thanos G. Stavropoulos, Georgios Meditskos, Efstratios Kontopoulos, Ioannis Kompatsiaris. Multi-Sensing Monitoring and Knowledge-Driven Analysis for Dementia Assessment. Wearable Technologies. 2018; ():297-313.

Chicago/Turabian Style

Thanos G. Stavropoulos; Georgios Meditskos; Efstratios Kontopoulos; Ioannis Kompatsiaris. 2018. "Multi-Sensing Monitoring and Knowledge-Driven Analysis for Dementia Assessment." Wearable Technologies , no. : 297-313.

Conference paper
Published: 20 May 2017 in Transactions on Petri Nets and Other Models of Concurrency XV
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Semantic drift is an active research field, which aims to identify and measure changes in ontologies across time and versions. Yet, only few practical methods have emerged that are directly applicable to Semantic Web constructs, while the lack of relevant applications and tools is even greater. This paper presents the findings, current limitations and lessons learned throughout the development and the application of a novel software tool, developed in the context of the PERICLES FP7 project, which integrates currently investigated methods, such as text and structural similarity, into the popular ontology authoring platform, Protégé. The graphical user interface provides knowledge engineers and domain experts with access to methods and results without prior programming knowledge. Its applicability and usefulness are validated through two proof-of-concept scenarios in the domains of Web Services and Digital Preservation; especially the latter is a field where such long-term insights are crucial.

ACS Style

Thanos G. Stavropoulos; Stelios Andreadis; Efstratios Kontopoulos; Marina Riga; Panagiotis Mitzias; Ioannis Kompatsiaris. The SemaDrift Protégé Plugin to Measure Semantic Drift in Ontologies: Lessons Learned. Transactions on Petri Nets and Other Models of Concurrency XV 2017, 10180, 29 -39.

AMA Style

Thanos G. Stavropoulos, Stelios Andreadis, Efstratios Kontopoulos, Marina Riga, Panagiotis Mitzias, Ioannis Kompatsiaris. The SemaDrift Protégé Plugin to Measure Semantic Drift in Ontologies: Lessons Learned. Transactions on Petri Nets and Other Models of Concurrency XV. 2017; 10180 ():29-39.

Chicago/Turabian Style

Thanos G. Stavropoulos; Stelios Andreadis; Efstratios Kontopoulos; Marina Riga; Panagiotis Mitzias; Ioannis Kompatsiaris. 2017. "The SemaDrift Protégé Plugin to Measure Semantic Drift in Ontologies: Lessons Learned." Transactions on Petri Nets and Other Models of Concurrency XV 10180, no. : 29-39.

Journal article
Published: 01 January 2017 in Pervasive and Mobile Computing
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This paper presents DemaWare2, an Ambient Assisted Living framework to support the care of people with dementia. The framework integrates various sensor modalities, such as ambient, wearable, offline and cloud-based, together with sophisticated, interdisciplinary methods including image, audio and semantic analysis. Fine-grained, atomic events, such as object manipulation, are aggregated into complex activities through semantic fusion. Applications tailored to monitoring dementia symptoms support clinicians to drive effective, timely interventions and evaluate their outcomes. The framework was evaluated for its robustness, reliability and clinical value in real-world lab trials and home installations. Unifying wearable and ambient sensors, offline and real-time processing.Integrated proprietary sensors, cloud services and complex image analysis.Activity recognition in real-world scenarios through intelligent semantic fusion.Addressing the peculiarities of realistic dementia assessment and care scenarios.Proof-of-concept deployments for assessment, long-term monitoring and intervention.

ACS Style

Thanos G. Stavropoulos; Georgios Meditskos; Ioannis Kompatsiaris. DemaWare2: Integrating sensors, multimedia and semantic analysis for the ambient care of dementia. Pervasive and Mobile Computing 2017, 34, 126 -145.

AMA Style

Thanos G. Stavropoulos, Georgios Meditskos, Ioannis Kompatsiaris. DemaWare2: Integrating sensors, multimedia and semantic analysis for the ambient care of dementia. Pervasive and Mobile Computing. 2017; 34 ():126-145.

Chicago/Turabian Style

Thanos G. Stavropoulos; Georgios Meditskos; Ioannis Kompatsiaris. 2017. "DemaWare2: Integrating sensors, multimedia and semantic analysis for the ambient care of dementia." Pervasive and Mobile Computing 34, no. : 126-145.

Original research
Published: 23 December 2016 in Journal of Ambient Intelligence and Humanized Computing
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Although many Ambient Intelligence frameworks either address heterogeneous ambient sensing or computer vision techniques, very limited work integrates both techniques in the scope of activity recognition in pervasive environments. This paper presents such a framework that integrates both a computer vision component and heterogeneous sensors with unanimous semantic representation and interpretation, while it also addresses challenges for realistic applications, such as fast, efficient image analysis and ontology-based temporal interpretation models. The framework is validated through an application in clinical dementia assessment yielding positive results and fruitful conclusions for the proposed semantic fusion of vision and sensor observations.

ACS Style

Thanos G. Stavropoulos; Georgios Meditskos; Stelios Andreadis; Konstantinos Avgerinakis; Katerina Adam; Ioannis Kompatsiaris. Semantic event fusion of computer vision and ambient sensor data for activity recognition to support dementia care. Journal of Ambient Intelligence and Humanized Computing 2016, 11, 3057 -3072.

AMA Style

Thanos G. Stavropoulos, Georgios Meditskos, Stelios Andreadis, Konstantinos Avgerinakis, Katerina Adam, Ioannis Kompatsiaris. Semantic event fusion of computer vision and ambient sensor data for activity recognition to support dementia care. Journal of Ambient Intelligence and Humanized Computing. 2016; 11 (8):3057-3072.

Chicago/Turabian Style

Thanos G. Stavropoulos; Georgios Meditskos; Stelios Andreadis; Konstantinos Avgerinakis; Katerina Adam; Ioannis Kompatsiaris. 2016. "Semantic event fusion of computer vision and ambient sensor data for activity recognition to support dementia care." Journal of Ambient Intelligence and Humanized Computing 11, no. 8: 3057-3072.

Journal article
Published: 24 November 2016 in Sensors
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Stress is a common problem that affects most people with dementia and their caregivers. Stress symptoms for people with dementia are often measured by answering a checklist of questions by the clinical staff who work closely with the person with the dementia. This process requires a lot of effort with continuous observation of the person with dementia over the long term. This article investigates the effectiveness of using a straightforward method, based on a single wristband sensor to classify events of “Stressed” and “Not stressed” for people with dementia. The presented system calculates the stress level as an integer value from zero to five, providing clinical information of behavioral patterns to the clinical staff. Thirty staff members participated in this experiment, together with six residents suffering from dementia, from two nursing homes. The residents were equipped with the wristband sensor during the day, and the staff were writing observation notes during the experiment to serve as ground truth. Experimental evaluation showed relationships between staff observations and sensor analysis, while stress level thresholds adjusted to each individual can serve different scenarios.

ACS Style

Basel Kikhia; Thanos G. Stavropoulos; Stelios Andreadis; Niklas Karvonen; Ioannis Kompatsiaris; Stefan Sävenstedt; Marten Pijl; Catharina Melander. Utilizing a Wristband Sensor to Measure the Stress Level for People with Dementia. Sensors 2016, 16, 1989 .

AMA Style

Basel Kikhia, Thanos G. Stavropoulos, Stelios Andreadis, Niklas Karvonen, Ioannis Kompatsiaris, Stefan Sävenstedt, Marten Pijl, Catharina Melander. Utilizing a Wristband Sensor to Measure the Stress Level for People with Dementia. Sensors. 2016; 16 (12):1989.

Chicago/Turabian Style

Basel Kikhia; Thanos G. Stavropoulos; Stelios Andreadis; Niklas Karvonen; Ioannis Kompatsiaris; Stefan Sävenstedt; Marten Pijl; Catharina Melander. 2016. "Utilizing a Wristband Sensor to Measure the Stress Level for People with Dementia." Sensors 16, no. 12: 1989.

Conference paper
Published: 20 October 2016 in Computer Vision
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[email protected] is an Ambient Assisted Living framework to support intelligent dementia care, by integrating a variety of ambient and wearable sensors together with sophisticated, interdisciplinary methods, such as image and semantic analysis. Semantic Web technologies, such as OWL, are used to represent sensor observations and application domain specifics as well as to implement hybrid activity recognition and problem detection solutions. Complete with tailored user interfaces, [email protected] supports accurate monitoring of multiple aspects, such as physical activity, sleep, complex daily activities and problems, leading to adaptive interventions for the optimal care of dementia, validated in four home pilots.

ACS Style

Thanos G. Stavropoulos; Georgios Meditskos; Thodoris Tsompanidis; Stelios Andreadis; Ioannis Kompatsiaris. [email protected]: Ambient Monitoring and Clinical Support for People Living with Dementia. Computer Vision 2016, 9989, 26 -29.

AMA Style

Thanos G. Stavropoulos, Georgios Meditskos, Thodoris Tsompanidis, Stelios Andreadis, Ioannis Kompatsiaris. [email protected]: Ambient Monitoring and Clinical Support for People Living with Dementia. Computer Vision. 2016; 9989 ():26-29.

Chicago/Turabian Style

Thanos G. Stavropoulos; Georgios Meditskos; Thodoris Tsompanidis; Stelios Andreadis; Ioannis Kompatsiaris. 2016. "[email protected]: Ambient Monitoring and Clinical Support for People Living with Dementia." Computer Vision 9989, no. : 26-29.

Conference paper
Published: 20 October 2016 in Transactions on Petri Nets and Other Models of Concurrency XV
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With the ever-growing prevalence of dementia, nursing costs are increasing, while the ability to live independently vanishes. [email protected] is an ambient assisted living framework to support independent living while receiving intelligent clinical care. [email protected] integrates a variety of ambient and wearable sensors together with sophisticated, interdisciplinary methods of image and semantic analysis. Semantic Web technologies, such as OWL 2, are extensively employed to represent sensor observations and application domain specifics as well as to implement hybrid activity recognition and problem detection. Complete with tailored user interfaces, clinicians are provided with accurate monitoring of multiple life aspects, such as physical activity, sleep, complex daily tasks and clinical problems, leading to adaptive non-pharmaceutical interventions. The method has been already validated for both recognition performance and improvement on a clinical level, in four home pilots.

ACS Style

Stelios Andreadis; Thanos G. Stavropoulos; Georgios Meditskos; Ioannis Kompatsiaris. [email protected]: Ambient Intelligence for Clinical Support of People Living with Dementia. Transactions on Petri Nets and Other Models of Concurrency XV 2016, 357 -368.

AMA Style

Stelios Andreadis, Thanos G. Stavropoulos, Georgios Meditskos, Ioannis Kompatsiaris. [email protected]: Ambient Intelligence for Clinical Support of People Living with Dementia. Transactions on Petri Nets and Other Models of Concurrency XV. 2016; ():357-368.

Chicago/Turabian Style

Stelios Andreadis; Thanos G. Stavropoulos; Georgios Meditskos; Ioannis Kompatsiaris. 2016. "[email protected]: Ambient Intelligence for Clinical Support of People Living with Dementia." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 357-368.

Case reports
Published: 18 October 2016 in Journal of Alzheimer's Disease
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Assistive technology, in the form of a smart home environment, is employed to support people with dementia.To propose a system for continuous and objective remote monitoring of problematic daily living activity areas and design personalized interventions based on system feedback and clinical observations for improving cognitive function and health-related quality of life.The assistive technology of the proposed system, including wearable, sleep, object motion, presence, and utility usage sensors, was methodically deployed at four different home installations of people with cognitive impairment. Detection of sleep patterns, physical activity, and activities of daily living, based on the collected sensor data and analytics, was available at all times through comprehensive data visualization solutions. Combined with clinical observation, targeted psychosocial interventions were introduced to enhance the participants' quality of life and improve their cognitive functions and daily functionality. Meanwhile, participants and their caregivers were able to visualize a reduced set of information tailored to their needs.Overall, paired-sample t-test analysis of monitored qualities revealed improvement for all participants in neuropsychological assessment. Moreover, improvement was detected from the beginning to the end of the trial, in physical condition and in the domains of sleep. Detecting abnormalities via the system, for example in sleep quality, such as REM sleep, has proved to be critical to assess current status, drive interventions, and evaluate improvements in a reliable manner.It has been proved that the proposed system is suitable to support clinicians to reliably drive and evaluate clinical interventions toward quality of life improvement of people with cognitive impairment.

ACS Style

Ioulietta Lazarou; Anastasios Karakostas; Thanos G. Stavropoulos; Theodoros Tsompanidis; Georgios Meditskos; Ioannis Kompatsiaris; Magda Tsolaki. A Novel and Intelligent Home Monitoring System for Care Support of Elders with Cognitive Impairment. Journal of Alzheimer's Disease 2016, 54, 1561 -1591.

AMA Style

Ioulietta Lazarou, Anastasios Karakostas, Thanos G. Stavropoulos, Theodoros Tsompanidis, Georgios Meditskos, Ioannis Kompatsiaris, Magda Tsolaki. A Novel and Intelligent Home Monitoring System for Care Support of Elders with Cognitive Impairment. Journal of Alzheimer's Disease. 2016; 54 (4):1561-1591.

Chicago/Turabian Style

Ioulietta Lazarou; Anastasios Karakostas; Thanos G. Stavropoulos; Theodoros Tsompanidis; Georgios Meditskos; Ioannis Kompatsiaris; Magda Tsolaki. 2016. "A Novel and Intelligent Home Monitoring System for Care Support of Elders with Cognitive Impairment." Journal of Alzheimer's Disease 54, no. 4: 1561-1591.

Conference paper
Published: 16 October 2016 in Proceedings of the 2016 ACM Workshop on Multimedia for Personal Health and Health Care
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A comprehensive multi-sensor monitoring and feedback system is presented, designed to support independent living for elderly people with dementia or other conditions and provide decision support for their formal and informal caregivers. This solution goes significantly beyond existing monitoring and assisted living approaches, which operate with a simple set of sensors and measurements, as it integrates a very heterogeneous set of sensing modalities and technologies, including video, audio analysis, in addition to physiological, environmental and other measurements. Semantic web technologies are used in for the intelligent integration and feedback of the sensor analysis results, also in line with user requirements, dictated by clinicians. This results in relevant feedback and decision support, which is communicated to the end users via appropriately designed user interfaces. A variety of clinical scenarios and environments are supported, from short-duration testing in hospital environments to long-term daily life monitoring and support at home, for independent living.

ACS Style

Thanos G. Stavropoulos; Georgios Meditskos; Alexia Briassouli; Ioannis Kompatsiaris. Multimodal Sensing and Intelligent Fusion for Remote Dementia Care and Support. Proceedings of the 2016 ACM Workshop on Multimedia for Personal Health and Health Care 2016, 35 -39.

AMA Style

Thanos G. Stavropoulos, Georgios Meditskos, Alexia Briassouli, Ioannis Kompatsiaris. Multimodal Sensing and Intelligent Fusion for Remote Dementia Care and Support. Proceedings of the 2016 ACM Workshop on Multimedia for Personal Health and Health Care. 2016; ():35-39.

Chicago/Turabian Style

Thanos G. Stavropoulos; Georgios Meditskos; Alexia Briassouli; Ioannis Kompatsiaris. 2016. "Multimodal Sensing and Intelligent Fusion for Remote Dementia Care and Support." Proceedings of the 2016 ACM Workshop on Multimedia for Personal Health and Health Care , no. : 35-39.

Journal article
Published: 27 April 2016 in Journal of Ambient Intelligence and Smart Environments
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ACS Style

Thanos G. Stavropoulos; George Koutitas; Dimitris Vrakas; Efstratios Kontopoulos; Ioannis Vlahavas. A smart university platform for building energy monitoring and savings. Journal of Ambient Intelligence and Smart Environments 2016, 8, 301 -323.

AMA Style

Thanos G. Stavropoulos, George Koutitas, Dimitris Vrakas, Efstratios Kontopoulos, Ioannis Vlahavas. A smart university platform for building energy monitoring and savings. Journal of Ambient Intelligence and Smart Environments. 2016; 8 (3):301-323.

Chicago/Turabian Style

Thanos G. Stavropoulos; George Koutitas; Dimitris Vrakas; Efstratios Kontopoulos; Ioannis Vlahavas. 2016. "A smart university platform for building energy monitoring and savings." Journal of Ambient Intelligence and Smart Environments 8, no. 3: 301-323.

Conference paper
Published: 09 April 2016 in Communications in Computer and Information Science
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This paper presents the main user/clinician interface and the mechanisms of a sensors-based system to support clinicians’ diagnosis for people suffering from Alzheimer disease and dementia. The system monitors the patient at a lab or a home environment when he/she tries to accomplish specific tasks or ordinary daily activities. The main goal of the system is to support both the clinical assessment and therapy. The system can be divided into two main parts: (a) the sensors, which monitor the patients and (b) the clinician user interface, which includes the main system operation as well as the results of the monitoring. The data between these two parts is transferred and interpreted by using knowledge-driven interpretation techniques based on Semantic Web technologies. In order to evaluate the interface satisfaction, the usefulness and the ease of use of the clinician interface both for the lab and home environments, an expert evaluation was conducted with 2 groups of professionally active psychologists with dementia expertise (14 psychologists for the lab and 10 for the home environment). The results of the questionnaire-based evaluation showed that the clinicians are quite positive about the use of the system as a supporting method to dementia assessment and therapy.

ACS Style

Anastasios Karakostas; Ioulietta Lazarou; Georgios Meditskos; Thanos G. Stavropoulos; Ioannis Kompatsiaris; Magda Tsolaki. Intelligent User Interfaces to Support Diagnosis and Assessment of People with Dementia: An Expert Evaluation. Communications in Computer and Information Science 2016, 196 -206.

AMA Style

Anastasios Karakostas, Ioulietta Lazarou, Georgios Meditskos, Thanos G. Stavropoulos, Ioannis Kompatsiaris, Magda Tsolaki. Intelligent User Interfaces to Support Diagnosis and Assessment of People with Dementia: An Expert Evaluation. Communications in Computer and Information Science. 2016; ():196-206.

Chicago/Turabian Style

Anastasios Karakostas; Ioulietta Lazarou; Georgios Meditskos; Thanos G. Stavropoulos; Ioannis Kompatsiaris; Magda Tsolaki. 2016. "Intelligent User Interfaces to Support Diagnosis and Assessment of People with Dementia: An Expert Evaluation." Communications in Computer and Information Science , no. : 196-206.

Journal article
Published: 01 October 2015 in International Journal of E-Health and Medical Communications
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DemaWare is a Service-Oriented platform that aids in the timely assessment and monitoring of people with dementia in an Ambient Assisted Living context. This work presents in detail the underlying modules integrated in DemaWare, providing both software and hardware services. The system coordinates the retrieval of raw sensor data from a variety of sources, such as ambient and wearable sensors, and their processing into a common knowledge base. The semantic interpretation performed afterwards reasons upon collected knowledge and infers higher level observations. Finally, all knowledge is presented in suitable end-user applications that support various scenarios, e.g. lab assessment trials and monitoring in nursing home environments.

ACS Style

Thanos G. Stavropoulos; Georgios Meditskos; Efstratios Kontopoulos; Ioannis Kompatsiaris. Multi-sensing Monitoring and Knowledge-driven Analysis for Dementia Assessment. International Journal of E-Health and Medical Communications 2015, 6, 77 -92.

AMA Style

Thanos G. Stavropoulos, Georgios Meditskos, Efstratios Kontopoulos, Ioannis Kompatsiaris. Multi-sensing Monitoring and Knowledge-driven Analysis for Dementia Assessment. International Journal of E-Health and Medical Communications. 2015; 6 (4):77-92.

Chicago/Turabian Style

Thanos G. Stavropoulos; Georgios Meditskos; Efstratios Kontopoulos; Ioannis Kompatsiaris. 2015. "Multi-sensing Monitoring and Knowledge-driven Analysis for Dementia Assessment." International Journal of E-Health and Medical Communications 6, no. 4: 77-92.

Book chapter
Published: 19 May 2015 in Advances in Intelligent Systems and Computing
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This paper presents the main mechanisms of a sensor-based framework to support clinical diagnosis of people suffering from Alzheimer disease and dementia. The framework monitors patients at a lab environment while trying to accomplish specific tasks. Different types of sensors are used for monitoring the patients, while a graphical user interface enables the clinicians to access and visualize the results. Sensor data is semantically integrated and analyzed using knowledge-driven interpretation techniques based on Semantic Web technologies. Moreover, this paper presents encouraging preliminary results of a pilot study in which 59 patients (29 Alzheimer disease –AD– and 30 mild cognitive impairment –MCI) participated in a clinical protocol. Their analysis indicated that MCI patients outperformed AD patients in specific tasks of the protocol, verifying the initial clinical assessment.

ACS Style

Anastasios Karakostas; Georgios Meditskos; Thanos G. Stavropoulos; Ioannis Kompatsiaris; Magda Tsolaki. A Sensor-Based Framework to Support Clinicians in Dementia Assessment: The Results of a Pilot Study. Advances in Intelligent Systems and Computing 2015, 213 -221.

AMA Style

Anastasios Karakostas, Georgios Meditskos, Thanos G. Stavropoulos, Ioannis Kompatsiaris, Magda Tsolaki. A Sensor-Based Framework to Support Clinicians in Dementia Assessment: The Results of a Pilot Study. Advances in Intelligent Systems and Computing. 2015; ():213-221.

Chicago/Turabian Style

Anastasios Karakostas; Georgios Meditskos; Thanos G. Stavropoulos; Ioannis Kompatsiaris; Magda Tsolaki. 2015. "A Sensor-Based Framework to Support Clinicians in Dementia Assessment: The Results of a Pilot Study." Advances in Intelligent Systems and Computing , no. : 213-221.

Journal article
Published: 01 May 2015 in Pervasive and Mobile Computing
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ACS Style

Thanos G. Stavropoulos; Efstratios Kontopoulos; Nick Bassiliades; John Argyriou; Antonis Bikakis; Dimitris Vrakas; Ioannis Vlahavas. Rule-based approaches for energy savings in an ambient intelligence environment. Pervasive and Mobile Computing 2015, 19, 1 -23.

AMA Style

Thanos G. Stavropoulos, Efstratios Kontopoulos, Nick Bassiliades, John Argyriou, Antonis Bikakis, Dimitris Vrakas, Ioannis Vlahavas. Rule-based approaches for energy savings in an ambient intelligence environment. Pervasive and Mobile Computing. 2015; 19 ():1-23.

Chicago/Turabian Style

Thanos G. Stavropoulos; Efstratios Kontopoulos; Nick Bassiliades; John Argyriou; Antonis Bikakis; Dimitris Vrakas; Ioannis Vlahavas. 2015. "Rule-based approaches for energy savings in an ambient intelligence environment." Pervasive and Mobile Computing 19, no. : 1-23.

Conference paper
Published: 01 September 2014 in 2014 25th International Workshop on Database and Expert Systems Applications
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This paper presents a novel energy management framework for multi-agent coordination in smart buildings. The framework builds on top of an existing Service-Oriented middleware for Ambient Intelligence, which offers sensor and actuator functions of wireless devices. The middleware also provides a semantics infrastructure that assists in authoring agent policies for reducing energy consumption and maximizing user comfort. Each agent within the framework is responsible for monitoring the environmental context and controlling the electrical appliances of a specific room. However, the collective behavior of the multi-agent system is controlled by a Coordinator Agent that approves or rejects the allocation of building resources in time, aiming at more "long-term" goals that are out of the reach and scope of the individual Room Agents. The agents' underlying logic is expressed via defeasible logics, a formalism offering intuitive knowledge representation and advanced conflict resolution mechanisms.

ACS Style

Thanos G. Stavropoulos; Emmanouil S. Rigas; Efstratios Kontopoulos; Nick Bassiliades; Ioannis Vlahavas. A Multi-agent Coordination Framework for Smart Building Energy Management. 2014 25th International Workshop on Database and Expert Systems Applications 2014, 126 -130.

AMA Style

Thanos G. Stavropoulos, Emmanouil S. Rigas, Efstratios Kontopoulos, Nick Bassiliades, Ioannis Vlahavas. A Multi-agent Coordination Framework for Smart Building Energy Management. 2014 25th International Workshop on Database and Expert Systems Applications. 2014; ():126-130.

Chicago/Turabian Style

Thanos G. Stavropoulos; Emmanouil S. Rigas; Efstratios Kontopoulos; Nick Bassiliades; Ioannis Vlahavas. 2014. "A Multi-agent Coordination Framework for Smart Building Energy Management." 2014 25th International Workshop on Database and Expert Systems Applications , no. : 126-130.

Journal article
Published: 01 September 2013 in Expert Systems with Applications
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ACS Style

Thanos G. Stavropoulos; Konstantinos Gottis; Dimitris Vrakas; Ioannis Vlahavas. aWESoME: A web service middleware for ambient intelligence. Expert Systems with Applications 2013, 40, 4380 -4392.

AMA Style

Thanos G. Stavropoulos, Konstantinos Gottis, Dimitris Vrakas, Ioannis Vlahavas. aWESoME: A web service middleware for ambient intelligence. Expert Systems with Applications. 2013; 40 (11):4380-4392.

Chicago/Turabian Style

Thanos G. Stavropoulos; Konstantinos Gottis; Dimitris Vrakas; Ioannis Vlahavas. 2013. "aWESoME: A web service middleware for ambient intelligence." Expert Systems with Applications 40, no. 11: 4380-4392.