e-health & Nutrition

e-Health is the employment of Information and Communication Technologies (ICT) in Healthcare Services, constituting the main mechanism to improve their efficiency and effectiveness. e-Health is an emerging field of medical informatics and public health, referring to health services and information delivered or enhanced through ICT technologies.

VCL has been a key-role partner in several e-Health projects, conducting Research and Development of novel and efficient e-Health technologies. In particular, VCL has been involved in research, design and development of e-Health modules and components for rehabilitation platforms and patient monitoring systems for Cardiovascular Diseases, or Alzheimer’s and Parkinson’s diseases. Our research and development team of e-Health experts provides cutting edge ICT modules and components to achieve the following objectives:

To integrate heterogeneous systems.
To develop frameworks to make all data meaningful, accessible and available everywhere and permanently.
To develop AIDC (Automatic Identification and Data Collectors) systems.
To develop low-cost motion capture methods, enabling patient exercise performance capturing.
To develop novel physical exercise performance monitoring systems, allowing for exercise repetition detection and evaluation.
To develop intelligent systems to support clinical and management decisions.

PROTEIN | Food Identification from Camera

PROTEIN | Robo-Cook’s Path Game

Best Paper Award:

T. Theodoridis, V. Solachidis, N. Vretos, P. Daras, “Human fall detection from acceleration measurements using a Recurrent Neural Network”, International Conference on Biomedical and Health Informatics Thessaloniki, Greece, 18-21 November 2017.

Key Publications:

V. Solachidis, J. R. Moreno, G. Hernandez-Penaloza, N. Vretos, F. Alvarez, P. Daras, "TeNDER: Towards Efficient Health Systems through e-Health Platforms Employing Multimodal Monitoring" , in IEEE/ACM CHASE Workshop on Artificial Intelligence and Internet of Things for Digital Health, Washington D.C., USA, December 16-17, 2021.

D. Tsatsou, E. Lalama, S. Wilson-Barnes, K. Hart, V. Cornelissen, R. Buys, I. Pagkalos, S. Dias, K. Dimitropoulos, P. Daras, "NAct: The Nutrition and Activity Ontology for Healthy Living" , in International Conference on Formal Ontology in Information Systems, Bozen-Bolzano, Italy, September 13-17, 2021.

I. Papastratis, C. Chatzikonstantinou, D. Konstantinidis, K. Dimitropoulos, P. Daras, "Artificial Intelligence Technologies for Sign Language" , Sensors, 21(17), 2021. DOI: https://doi.org/10.3390/s21175843

T. Theodoridis, K. Loumponias, N. Vretos, P. Daras, "Zernike Pooling: Generalizing Average Pooling Using Zernike Moments" , IEEE Access, Volume 9, pp. 121128-121136, 2021. DOI: https://doi.org/10.1109/ACCESS.2021.3108630

C. Chatzikonstantinou, D. Konstantinidis, K. Dimitropoulos, P. Daras, "Recurrent Neural Network Pruning Using Dynamical Systems and Iterative Fine-tuning" , Neural Networks, 2021. DOI: https://doi.org/10.1016/j.neunet.2021.07.001

A. Stergioulas, T. Chatzis, D. Konstantinidis, K. Dimitropoulos, P. Daras, "3D Hand Pose Estimation via Aligned Latent Space Injection and Kinematic Losses" , in IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June, 2021.

I. Papastratis, K. Dimitropoulos, P. Daras, "Continuous Sign Language Recognition through a Context-Aware Generative Adversarial Network" , Sensors, 21(7), 2437, 2021. DOI: https://doi.org/10.3390/s21072437

S. Wilson-Barnes, L. P. Gymnopoulos, K. Dimitropoulos, V. Solachidis, K. Rouskas, D. Russell, Y. Oikonomidis, S. Hadjidimitriou, J. M. Botana, B. Brkic , et al., "Personalised Nutrition for Healthy Living: The PROTEIN project" , Nutrition Bulletin, 46(1), pp. 77-87, 2021. DOI: https://doi.org/10.1111/nbu.12482

S. Mylonas, A. Axenopoulos, P. Daras, "DeepSurf: A Surface-based Deep Learning Approach for the Prediction of Ligand Binding Sites on Proteins" , Bioinformatics Journal, 2021.

S.B. Dias, J.A. Diniz, E. Konstantinidis, T. Savvidis, V. Zilidou, P.D. Bamidis, A. Grammatikopoulou, K. Dimitropoulos, N. Grammalidis, H. Jaeger, et al., "Assistive HCI-Serious Games Co-design Insights: The Case Study of i-PROGNOSIS Personalized Game Suite for Parkinson’s Disease" , Frontiers in Psychology, Volume 11, 4017, 2021.

M. Papadogiorgaki, V. Mezaris, N. Grammalidis, K. Grigoriadis, E.S. Bei, G. Livanos, M.E. Zervakis, "Quality of Life Support System for People with Intellectual Disability" , in ACM International Conference on PErvasive Technologies Related to Assistive Environments, June, 2020. DOI: https://dl.acm.org/doi/10.1145/3389189.3397971

S. Mylonas, A. Axenopoulos, S. Katsamakas, I. Gkekas, K. Stamatopoulos, S. Petrakis, P. Daras, "Deep Learning-assisted Pipeline for Virtual Screening of Ligand Compound Databases: Application on Inhibiting the Entry of SARS-CoV-2 into Human Cells" , in 20th IEEE International Conference on BioInformatics and BioEngineering (IEEE BIBE), USA, October 26-28, 2020.

T. Theodoridis, V. Solachidis, K. Dimitropoulos, P. Daras, "A Cross-Modal Variational Framework for Food Image Analysis" , in International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, October 25-28, 2020.

D. Krivec, G. Hernández-Peñaloza, Š. Glišović Krivec, D. Fabjan, P. Gangas, C. M. Lozano Hernández, N. Vretos, P. Daras, B. Schäpers, S. Hinterholzer, M. Steinböck, F. Müller, K. Jahn, F. Álvarez García, J. Jimenez Ramos, L. Carrasco Marin, A. Cimini, M. Ricci, "TeNDER - Co-creation of the intelligent support system with patients, carers and professionals" , in Alzheimer Europe Conference, October 20-22, 2020.

T. Chatzis, A. Stergioulas, D. Konstantinidis, K. Dimitropoulos, P. Daras, "A Comprehensive Study on Deep Learning-Based 3D Hand Pose Estimation Methods" , Applied Sciences, 10(19), 6850, 2020. DOI: https://doi.org/10.3390/app10196850

F. Langenfeld, Y. Peng, Y. K. Lai, P. L. Rosin, T. Aderinwale, G. Terashi, C. Christoffer, D. Kiharad, H. Benhabiles, K. Hammoudi, A. Cabani, F. Windal, M. Melkemi, A. Giachetti, S. Mylonas, A. Axenopoulos, P. Daras, E. Otu, R. Zwiggelaar, D. Hunter, Y. Liu, M. Montès, "SHREC2020 Track: Multi-domain Protein Shape Retrieval Challenge" , ELSEVIER Computers & Graphics, 91, 189-198, 2020. DOI: https://doi.org/10.1016/j.cag.2020.07.013

S. B. Dias, A. Grammatikopoulou, J. A. Diniz, K. Dimitropoulos, N. Grammalidis, V. Zilidou, T. Savvidis, E. Konstantinidis, P. D. Bamidis, H. Jaeger, et al., "Innovative Parkinson's Disease Patients' Motor Skills Assessment: The i-PROGNOSIS Paradigm" , Frontiers in Computer Science, 2, 20, 2020. DOI: https://doi.org/10.3389/fcomp.2020.00020

K. Stefanidis, D. Konstantinidis, A. Kalvourtzis, K. Dimitropoulos, P. Daras, "3D Technologies and Applications in Sign Language" , Recent Advances in 3D Imaging, Modeling, and Reconstruction, edited by A. Voulodimos, A. Doulamis, IGI Global, 2020.

D. Konstantinidis, K. Dimitropoulos, K. Stefanidis, T. Kalvourtzis, S. Gannoum, N. Kaklanis, K. Votis, P. Daras, S. Rovira-Esteva, P. Orero, et al., "Developing Accessibility Multimedia Services: The Case of EasyTV" , in International Conference on Pervasive Technologies Related to Assistive Environments (PETRA), Corfu, Greece, June 30th - July 3rd, 2020. DOI: https://doi.org/10.1145/3389189.3397973

T. Theodoridis, T. Chatzis, V. Solachidis, K. Dimitropoulos, P. Daras, "Cross-modal Variational Alignment of Latent Spaces" , In IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Washington, United States, June, 2020.

C. Chatzikonstantinou, G. Papadopoulos, K. Dimitropoulos, P. Daras, "Neural Network Compression Using Higher-Order Statistics and Auxiliary Reconstruction Losses" , In IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Washington, United States, June, 2020.

I. Papastratis, K. Dimitropoulos, D. Konstantinidis, P. Daras, "Continuous Sign Language Recognition Through Cross-Modal Alignment of Video and Text Embeddings in a Joint-Latent Space" , IEEE Access, vol. 8, pp. 91170-91180, 2020. DOI: 10.1109/ACCESS.2020.2993650

K. Loumponias, N. Vretos, G. Tsaklidis, P. Daras, "An Improved Tobit Kalman Filter with Adaptive Censoring Limits" , Circuits, Systems, and Signal Processing, Volume 39, pp 5588–5617, 2020. DOI: https://doi.org/10.1007/s00034-020-01422-w

D. Konstantinidis, K. Dimitropoulos, B. Langlet, P. Daras, I. Ioakimidis, "Validation of a Deep Learning System for the Full Automation of Bite and Meal Duration Analysis of Experimental Meal Videos" , Nutrients, 12(1), 209, 2020. DOI: https://doi.org/10.3390/nu12010209

L. Klingelhoefer, S. Bostanjopoulou, D. Trivedi, S. Hadjidimitriou, D. Hausbrand, Z. Katsarou, V. Charisis, M. Stadtschnitzer, S. Dias, G. Ntakakis, et al., "Medical Follow Up Assessments of iPrognosis Application Users for Early Parkinson's Disease Detection" , Parkinsonism & Related Disorders, Volume 79, p. e37, 2020.

D. Konstantinidis, K. Dimitropoulos, I. Ioakimidis, B. Langlet, P. Daras, "A Deep Network for Automatic Video-based Food Bite Detection" , In Proceedings of the 12th International Conference on Computer Vision Systems (ICVS), Thessaloniki, Greece, September 23-25, 2019.

P. Barmpoutis, K. Dimitropoulos, A. Apostolidis, N. Grammalidis, "Multi-Lead ECG Signal Analysis for Myocardial Infarction Detection and Localization Through the Mapping of Grassmannian and Euclidean Features Into a Common Hilbert Space" , Biomedical Signal Processing and Control, Volume 52, pp. 111-119, 2019.

T. Theodoridis, V. Solachidis, K. Dimitropoulos, L. Gymnopoulos, P. Daras, "A Survey on AI Nutrition Recommender Systems" . In Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA), Rhodes, Greece, June 05 - 07, 2019. DOI: https://doi.org/10.1145/3316782.3322760

F. Alvarez, M. Popa, V. Solachidis, G. Hernandez, A. Belmonte-Hernandez, S. Asteriadis, N. Vretos, M. Quintana, D. Dotti, T. Theodoridis, P. Daras, "Behavior Analysis through Multimodal Sensing for Care of Parkinson's and Alzheimer's Patients" , in IEEE MultiMedia, vol. 25, no. 1, pp. 14-25, Jan.-Mar. 2018

F. Patrona, A. Chatzitofis, D. Zarpalas, P. Daras, "Motion Analysis: Action Detection, Recognition and Evaluation based on motion capture data" , Pattern Recognition, Special Issue on Articulated Motion and Deformable Objects, Volume 76, Pages 612-622, DOI: 10.1016/j.patcog.2017.12.007 April 2018

T. Theodoridis, V. Solachidis, N. Vretos, P. Daras, "Human fall detection from acceleration measurements using a Recurrent Neural Network" , International Conference on Biomedical and Health Informatics Thessaloniki, Greece, 18-21 November 2017

A. Chatzitofis, D. Zarpalas and P. Daras, "A Computerized System for Real-Time Exercise Performance Monitoring and e-Coaching Using Motion Capture Data" International Conference on Biomedical and Health Informatics Thessaloniki, Greece, 18-21 November 2017

K. Dimitropoulos, P. Barmpoutis, C. Zioga, A. Kamas, K. Patsiaoura, N. Grammalidis, "Grading of invasive breast carcinoma through Grassmannian VLAD encoding" , PloS One, DOI: 10.1371/journal.pone.0185110.

A. Axenopoulos, D. Rafailidis, Ge. Papadopoulos, E. Houstis, P. Daras, "Similarity Search of Flexible 3D Molecules combining Local and Global Shape Descriptors" , IEEE/ACM Transactions on Computational Biology and Bioinformatics, Volume 13 Issue 5, Pages 954-970, Sep.-Oct 2016

D. Zarpalas, P. Gkontra, P. Daras, N. Maglaveras, "Accurate and fully Automatic Hippocampus Segmentation using subject-specific 3D Optimal Local Maps into a hybrid Active Contour Model" , IEEE Journal of Translational Engineering in Health and Medicine, Vol. 2, June 2014, doi: 10.1109/JTEHM.2014.2297953

D. Zarpalas, P. Gkontra, P. Daras, N. Maglaveras, "Gradient based Reliability Maps for ACM based Segmentation of Hippocampus" , IEEE Transactions on BioMedical Engineering, Vol: 61, Issue: 4, April 2014, doi: 10.1109/TBME.2013.2293023

A. Axenopoulos, P. Daras, Ge. Papadopoulos, E. Houstis, "SP-Dock: Protein-Protein Docking using Shape and Physicochemical Complementarity" , IEEE/ACM Transactions on Computational Biology and Bioinformatics, Volume 10 Issue 1, Pages 135-150, January 2013

A. Axenopoulos, P. Daras, Ge. Papadopoulos, E. Houstis, "A Shape Descriptor for Fast Complementarity Matching in Molecular Docking" , IEEE/ACM Transactions on Computational Biology and Bioinformatics, DOI: 10.1109/TCBB.2011.72, 2011