Sport biomechanics applications using inertial, force, and EMG sensors: A literature overview J Taborri, J Keogh, A Kos, A Santuz, A Umek, C Urbanczyk, ... Applied bionics and biomechanics 2020, 2020 | 117 | 2020 |
Challenges in wireless communication for connected sensors and wearable devices used in sport biofeedback applications A Kos, V Milutinović, A Umek Future generation computer systems 92, 582-592, 2019 | 101 | 2019 |
Wearable sensor devices for prevention and rehabilitation in healthcare: Swimming exercise with real-time therapist feedback A Kos, A Umek IEEE internet of things journal 6 (2), 1331-1341, 2018 | 97 | 2018 |
Evaluation of smartphone inertial sensor performance for cross-platform mobile applications A Kos, S Tomažič, A Umek Sensors 16 (4), 477, 2016 | 87 | 2016 |
The role of science and technology in sport A Kos, Y Wei, S Tomažič, A Umek Procedia Computer Science 129, 489-495, 2018 | 73 | 2018 |
Suitability of smartphone inertial sensors for real-time biofeedback applications A Kos, S Tomažič, A Umek Sensors 16 (3), 301, 2016 | 64 | 2016 |
Wearable training system with real-time biofeedback and gesture user interface A Umek, S Tomažič, A Kos Personal and Ubiquitous Computing 19, 989-998, 2015 | 46 | 2015 |
Smart sport equipment: SmartSki prototype for biofeedback applications in skiing A Kos, A Umek Personal and Ubiquitous Computing 22, 535-544, 2018 | 43 | 2018 |
Suitability of strain gage sensors for integration into smart sport equipment: A golf club example A Umek, Y Zhang, S Tomažič, A Kos Sensors 17 (4), 916, 2017 | 43 | 2017 |
Multi-sensor golf swing classification using deep CNN L Jiao, H Wu, R Bie, A Umek, A Kos Procedia Computer Science 129, 59-65, 2018 | 39 | 2018 |
Biomechanical biofeedback systems and applications A Kos, A Umek Springer, 2018 | 36 | 2018 |
Wearable sensors and smart equipment for feedback in watersports A Umek, A Kos Procedia Computer Science 129, 496-502, 2018 | 34 | 2018 |
Validation of smartphone gyroscopes for mobile biofeedback applications A Umek, A Kos Personal and Ubiquitous Computing 20, 657-666, 2016 | 32 | 2016 |
The role of high performance computing and communication for real-time biofeedback in sport A Umek, A Kos Mathematical problems in engineering 2016, 2016 | 31 | 2016 |
Review of real-time biomechanical feedback systems in sport and rehabilitation M Hribernik, A Umek, S Tomažič, A Kos Sensors 22 (8), 3006, 2022 | 26 | 2022 |
The role of technology for accelerated motor learning in sport M Pustišek, Y Wei, Y Sun, A Umek, A Kos Personal and Ubiquitous Computing 25, 969-978, 2021 | 25 | 2021 |
Approaching the communication constraints of ethereum-based decentralized applications M Pustišek, A Umek, A Kos Sensors 19 (11), 2647, 2019 | 25 | 2019 |
Smart equipment design challenges for real time feedback support in sport A Umek, A Kos Facta Universitatis, Series: Mechanical Engineering 16 (3), 389-403, 2018 | 22 | 2018 |
Golf swing classification with multiple deep convolutional neural networks L Jiao, R Bie, H Wu, Y Wei, J Ma, A Umek, A Kos International Journal of Distributed Sensor Networks 14 (10), 1550147718802186, 2018 | 19 | 2018 |
Spatial sound generation using HRTF created by the use of recursive filters R Susnik, J Sodnik, A Umek, S Tomazic The IEEE Region 8 EUROCON 2003. Computer as a Tool. 1, 449-453, 2003 | 19 | 2003 |