An approach to sport activities recognition based on an inertial sensor and deep learning

• Published in: Sensors and actuators. A. Physical. Vol. 345; p. 113773
• Main Authors: Pajak, Grzegorz, Krutz, Pascal, Patalas-Maliszewska, Justyna, Rehm, Matthias, Pajak, Iwona, Dix, Martin
• Format: Journal Article
• Language: English
• Published: Lausanne Elsevier B.V 01.10.2022; Elsevier BV
• Subjects: Artificial neural networks; Classification learner; Data acquisition; Datasets; Decision trees; Deep learning; Experiments; HAR; Inertial sensing devices; Neural networks; Performance evaluation; Recognition; Sport activities; Sports training; Training; UWB sensor; Deep learning; HAR; UWB sensor; Sport activities; Classification learner

In recent years, due to changing the human lifestyle, the number of sport trainers has been increased. The conventional classifiers as Naive Bayes (NB), Decision Trees (DT) and Convolutional Neural Networks (CNNs) can be used in this domain to recognize and count sports activities of subjects and pr...