Monitoring stress with a wrist device using context M Gjoreski, M Luštrek, M Gams, H Gjoreski Journal of biomedical informatics 73, 159-170, 2017 | 331 | 2017 |
Accelerometer placement for posture recognition and fall detection H Gjoreski, M Lustrek, M Gams 2011 Seventh International Conference on Intelligent Environments, 47-54, 2011 | 295 | 2011 |
The university of sussex-huawei locomotion and transportation dataset for multimodal analytics with mobile devices H Gjoreski, M Ciliberto, L Wang, FJO Morales, S Mekki, S Valentin, ... IEEE Access 6, 42592-42604, 2018 | 240 | 2018 |
Continuous stress detection using a wrist device: in laboratory and real life M Gjoreski, H Gjoreski, M Luštrek, M Gams proceedings of the 2016 ACM international joint conference on pervasive and …, 2016 | 239 | 2016 |
Enabling reproducible research in sensor-based transportation mode recognition with the Sussex-Huawei dataset L Wang, H Gjoreski, M Ciliberto, S Mekki, S Valentin, D Roggen IEEE Access 7, 10870-10891, 2019 | 157 | 2019 |
How accurately can your wrist device recognize daily activities and detect falls? M Gjoreski, H Gjoreski, M Luštrek, M Gams Sensors 16 (6), 800, 2016 | 144 | 2016 |
Automatic detection of perceived stress in campus students using smartphones M Gjoreski, H Gjoreski, M Lutrek, M Gams 2015 International conference on intelligent environments, 132-135, 2015 | 98 | 2015 |
Summary of the sussex-huawei locomotion-transportation recognition challenge L Wang, H Gjoreskia, K Murao, T Okita, D Roggen Proceedings of the 2018 ACM international joint conference and 2018 …, 2018 | 90 | 2018 |
Comparing deep and classical machine learning methods for human activity recognition using wrist accelerometer H Gjoreski, J Bizjak, M Gjoreski, M Gams Proceedings of the IJCAI 2016 Workshop on Deep Learning for Artificial …, 2016 | 87 | 2016 |
Summary of the Sussex-Huawei locomotion-transportation recognition challenge 2020 L Wang, H Gjoreski, M Ciliberto, P Lago, K Murao, T Okita, D Roggen Adjunct proceedings of the 2020 ACM international joint conference on …, 2020 | 82 | 2020 |
Efficient activity recognition and fall detection using accelerometers S Kozina, H Gjoreski, M Gams, M Luštrek Evaluating AAL Systems Through Competitive Benchmarking: International …, 2013 | 76 | 2013 |
Datasets for cognitive load inference using wearable sensors and psychological traits M Gjoreski, T Kolenik, T Knez, M Luštrek, M Gams, H Gjoreski, V Pejović Applied Sciences 10 (11), 3843, 2020 | 73 | 2020 |
Detecting falls with location sensors and accelerometers M Luštrek, H Gjoreski, S Kozina, B Cvetkovic, V Mirchevska, M Gams Proceedings of the AAAI Conference on Artificial Intelligence 25 (2), 1662-1667, 2011 | 69 | 2011 |
Context-based ensemble method for human energy expenditure estimation H Gjoreski, B Kaluža, M Gams, R Milić, M Luštrek Applied Soft Computing 37, 960-970, 2015 | 68 | 2015 |
Three-layer activity recognition combining domain knowledge and meta-classification S Kozina, H Gjoreski, M Gams, M Luštrek Journal of Medical and Biological Engineering 33 (4), 406-414, 2013 | 54 | 2013 |
Competitive live evaluations of activity-recognition systems H Gjoreski, S Kozina, M Gams, M Lustrek, JA Álvarez-García, JH Hong, ... IEEE Pervasive Computing 14 (1), 70-77, 2015 | 50 | 2015 |
Houseec: Day-ahead household electrical energy consumption forecasting using deep learning I Kiprijanovska, S Stankoski, I Ilievski, S Jovanovski, M Gams, H Gjoreski Energies 13 (10), 2672, 2020 | 49 | 2020 |
Activity/posture recognition using wearable sensors placed on different body locations H Gjoreski, M Gams Proceedings of (738) Signal and Image Processing and Applications, Crete …, 2011 | 47 | 2011 |
Detection of gait abnormalities for fall risk assessment using wrist-worn inertial sensors and deep learning I Kiprijanovska, H Gjoreski, M Gams Sensors 20 (18), 5373, 2020 | 46 | 2020 |
Telehealth using ECG sensor and accelerometer H Gjoreski, A Rashkovska, S Kozina, M Lustrek, M Gams 2014 37th International Convention on Information and Communication …, 2014 | 43 | 2014 |