Fall detection system using Kinect’s infrared sensor G Mastorakis, D Makris Journal of Real-Time Image Processing 9 (4), 635-646, 2014 | 473 | 2014 |
Fall detection without people: A simulation approach tackling video data scarcity G Mastorakis, T Ellis, D Makris Expert Systems with Applications 112, 125-137, 2018 | 26 | 2018 |
Improved line detection algorithm for locating road lane markings G Mastorakis, ER Davies Electronics letters 47 (3), 183-184, 2011 | 19 | 2011 |
Modular robots for enabling operations in unstructured extreme environments ME Sayed, JO Roberts, K Donaldson, ST Mahon, F Iqbal, B Li, ... Advanced Intelligent Systems 4 (5), 2000227, 2022 | 15 | 2022 |
Human-like machine learning: limitations and suggestions G Mastorakis arXiv preprint arXiv:1811.06052, 2018 | 13 | 2018 |
vPlanSim: An open source graphical interface for the visualisation and simulation of AI systems JO Roberts, G Mastorakis, B Lazaruk, S Franco, AA Stokes, S Bernardini Proceedings of the International Conference on Automated Planning and …, 2021 | 11 | 2021 |
Human fall detection methodologies: from machine learning using acted data to fall modelling using myoskeletal simulation G Mastorakis https://storage.googleapis.com/wzukusers/user-33021235/documents …, 2018 | 9 | 2018 |
Customisable Fall Detection: A hybrid approach using physics based simulation and machine learning G Mastorakis, X Hildenbrand, K Grand, D Makris ECCV 2016 - 1st Workshop on Action and Anticipation for Visual Learning, 2016 | 6* | 2016 |
Unrepresentative video data: A review and evaluation G Mastorakis arXiv preprint arXiv:1811.11815, 2018 | 3 | 2018 |