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Listar por autor "Biró, Attila"
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Machine learning on prediction of relative physical activity intensity using medical radar sensor and 3D accelerometer
Biró, Attila; Szilágyi, Sándor Miklós; Szilágyi, László; Martín-Martín, Jaime; Cuesta-Vargas, Antonio (MDPI, 2023-03-30)Background: One of the most critical topics in sports safety today is the reduction in injury risks through controlled fatigue using non-invasive athlete monitoring. Due to the risk of injuries, it is prohibited to use ... -
Reliability Study of Inertial Sensors LIS2DH12 Compared to ActiGraph GT9X: Based on Free Code
Martin-Martin, Jaime; Jiménez-Partinen, Ariadna; De Torres García, Irene; Escriche-Escuder, Adrián; González-Sánchez, Manuel; Muro Culebras, Antonio Luis; Roldán-Jiménez, Cristina; Ruiz-Muñoz, María; Mayoral Cleries, Fermín; Biró, Attila; Tang, Wen; Nikolova, Borjanka; Salvatore, Alfredo; Cuesta-Vargas, Antonio[et al.] (IOAP-MPDI, 2022-05-05)The study’s purpose was to assess the reliability of the LIS2DH12 in two different positions, using the commercial sensor Actigraph GT9X as a reference instrument. Five participants completed two gait tests on a treadmill. ... -
Synthetized Multilanguage OCR Using CRNN and SVTR Models for Realtime Collaborative Tools
Biró, Attila; Cuesta-Vargas, Antonio; Martín-Martín, Jaime; Szilágyi, László; Miklós Szilágyi, Sándor (MDPI, 2023-03-30)Background: Remote diagnosis using collaborative tools have led to multilingual joint working sessions in various domains, including comprehensive health care, and resulting in more inclusive health care services. One of ... -
The Validity of the Energy Expenditure Criteria Based on Open Source Code through two Inertial Sensors
Martin-Martin, Jaime; Wang, Li; De Torres García, Irene; Escriche-Escuder, Adrián; González-Sánchez, Manuel; Muro Culebras, Antonio Luis; Roldán-Jiménez, Cristina; Ruiz‐Muñoz, María; Mayoral Cleries, Fermín; Biró, Attila; Tang, Wen; Nikolova, Borjanka; Salvatore, Alfredo; Cuesta-Vargas, Antonio[et al.] (IOAP-MPDI, 2022-03-26)Through this study, we developed and validated a system for energy expenditure calculation, which only requires low-cost inertial sensors and open source R software. Five healthy subjects ran at ten different speeds while ...