| The mobiact dataset: Recognition of activities of daily living using smartphones G Vavoulas, C Chatzaki, T Malliotakis, M Pediaditis, M Tsiknakis International Conference on Information and Communication Technologies for …, 2016 | 250 | 2016 |
| Human daily activity and fall recognition using a smartphone’s acceleration sensor C Chatzaki, M Pediaditis, G Vavoulas, M Tsiknakis Information and Communication Technologies for Ageing Well and e-Health …, 2017 | 99 | 2017 |
| The mobifall dataset: Fall detection and classification with a smartphone G Vavoulas, M Pediaditis, C Chatzaki, EG Spanakis, M Tsiknakis International Journal of Monitoring and Surveillance Technologies Research …, 2014 | 99 | 2014 |
| Facial geometry and speech analysis for depression detection A Pampouchidou, O Simantiraki, CM Vazakopoulou, C Chatzaki, ... 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 63 | 2017 |
| Dementia care frameworks and assistive technologies for their implementation: a review L Koumakis, C Chatzaki, E Kazantzaki, E Maniadi, M Tsiknakis IEEE reviews in biomedical engineering 12, 4-18, 2019 | 62 | 2019 |
| The Smart-Insole Dataset: Gait Analysis Using Wearable Sensors with a Focus on Elderly and Parkinson’s Patients C Chatzaki, V Skaramagkas, N Tachos, G Christodoulakis, E Maniadi, ... Sensors 21 (8), 2821, 2021 | 44 | 2021 |
| Can gait features help in differentiating Parkinson’s disease medication states and severity levels? A machine learning approach C Chatzaki, V Skaramagkas, Z Kefalopoulou, N Tachos, N Kostikis, ... Sensors 22 (24), 9937, 2022 | 6 | 2022 |
| Gait and balance patterns related to Free-Walking and TUG tests in Parkinson’s Disease based on plantar pressure data VD Tsakanikas, DG Dimopoulos, NS Tachos, C Chatzaki, V Skaramagkas, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 0 | 6* | |
| Artificial intelligence: concepts, methodologies, tools, and applications G Vavoulas, M Pediaditis, C Chatzaki, EG Spanakis, M Tsiknakis IGI Global, 2017 | 5 | 2017 |
| Evaluating gait impairment in Parkinson’s disease from instrumented insole and IMU sensor data V Tsakanikas, A Ntanis, G Rigas, C Androutsos, D Boucharas, N Tachos, ... Sensors 23 (8), 3902, 2023 | 4 | 2023 |
| Pressure Sensor Insole Gait Assessment for Parkinson's Disease patients: A pilot study Z Kefalopoulou, C Chatzaki, V Skaramagkas, E Chroni, N Tachos, ... Movement Disorders 37, S193-S193, 2022 | 3 | 2022 |
| Automatic Pain Intensity Estimation based on Electrocardiogram and Demographic Factors S Gkikas, C Chatzaki, E Pavlidou, F Verigou, M Kalkanis, K. and Tsiknakis In Proceedings of the 8th International Conference on Information and …, 2022 | 2 | 2022 |
| A Training Tool to support the management and diagnosis of Sjögren’s syndrome MT C. Chatzaki, A. Goules, S. De Vita, A. Zabotti, C. Delporte, M. Soyfoo, F ... Clinical and Experimental Rheumatology 38 (126), 2020 | 2 | 2020 |
| Estimating normal and abnormal activities using smartphones C Chatzaki, M Pediaditis, G Vavoulas, M Tsiknakis pHealth 2016, 195-200, 2016 | 2 | 2016 |
| Smart insole: A gait analysis monitoring platform targeting Parkinson disease patients based on insoles D Boucharas, C Androutsos, G Gkois, V Tsakanikas, V Pezoulas, ... arXiv preprint arXiv:2212.00109, 2022 | 1 | 2022 |
| Multi-task Neural Networks for Pain Intensity Estimation Using Electrocardiogram and Demographic Factors S Gkikas, C Chatzaki, M Tsiknakis International Conference on Information and Communication Technologies for …, 2021 | | 2021 |
| Estimating Human Activity Patterns in Dynamic Environments based on Smart, Wearable Sensors: A Feasibility Study C Chatzaki Master Thesis, 2016 | | 2016 |
Manolis TsiknakisDept. of Electrical & Computer Engineering, Hellenic Mediterranean University, GreeceVerified email at hmu.gr
