87632 20200716101551.0 doi 10.3390/s19225004 sideral 115862 ART-2019-115862 eng Benages Pardo, Luis Universidad de Zaragoza Detection of tennis activities with wearable sensors 2019 Access copy available to the general public Unrestricted This paper aims to design and implement a system capable of distinguishing between different activities carried out during a tennis match. The goal is to achieve the correct classification of a set of tennis strokes. The system must exhibit robustness to the variability of the height, age or sex of any subject that performs the actions. A new database is developed to meet this objective. The system is based on two sensor nodes using Bluetooth Low Energy (BLE) wireless technology to communicate with a PC that acts as a central device to collect the information received by the sensors. The data provided by these sensors are processed to calculate their spectrograms. Through the application of innovative deep learning techniques with semi-supervised training, it is possible to carry out the extraction of characteristics and the classification of activities. Preliminary results obtained with a data set of eight players, four women and four men have shown that our approach is able to address the problem of the diversity of human constitutions, weight and sex of different players, providing accuracy greater than 96.5% to recognize the tennis strokes of a new player never seen before by the system. info:eu-repo/grantAgreement/ES/MINECO/TIN2017-88841-R info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.275 2019 CHEMISTRY, ANALYTICAL 22 / 86 = 0.256 2019 Q2 T1 INSTRUMENTS & INSTRUMENTATION 15 / 64 = 0.234 2019 Q1 T1 ENGINEERING, ELECTRICAL & ELECTRONIC 77 / 266 = 0.289 2019 Q2 T1 0.653 2019 Instrumentation 2019 Q1 Atomic and Molecular Physics, and Optics 2019 Q2 Medicine (miscellaneous) 2019 Q2 Information Systems 2019 Q2 Analytical Chemistry 2019 Q2 Electrical and Electronic Engineering 2019 Q2 Biochemistry 2019 Q3 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion (orcid)0000-0003-3431-5863 Buldain Perez, David Universidad de Zaragoza (orcid)0000-0002-0903-5520 Orrite Uruñuela, Carlos Universidad de Zaragoza 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 5008 785 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Tecnología Electrónica 19, 22 (2019), 5004 [19 pp.] Sensors Sensors (Switzerland) 1424-8220 1300602 http://zaguan.unizar.es/record/87632/files/texto_completo.pdf Versión publicada 111072 http://zaguan.unizar.es/record/87632/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:87632 articulos driver 2020-07-16-09:46:01 ARTICLE