Cargando…
From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning
The applicability of sensor-based human activity recognition in sports has been repeatedly shown for laboratory settings. However, the transferability to real-world scenarios cannot be granted due to limitations on data and evaluation methods. On the example of football shot and pass detection again...
Autores principales: | Stoeve, Maike, Schuldhaus, Dominik, Gamp, Axel, Zwick, Constantin, Eskofier, Bjoern M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8124919/ https://www.ncbi.nlm.nih.gov/pubmed/33924985 http://dx.doi.org/10.3390/s21093071 |
Ejemplares similares
-
Hierarchical, Multi-Sensor Based Classification of Daily Life Activities: Comparison with State-of-the-Art Algorithms Using a Benchmark Dataset
por: Leutheuser, Heike, et al.
Publicado: (2013) -
Wearable Sensors for Activity Recognition in Ultimate Frisbee Using Convolutional Neural Networks and Transfer Learning
por: Link, Johannes, et al.
Publicado: (2022) -
Motion Analysis of Football Kick Based on an IMU Sensor
por: Yu, Chun, et al.
Publicado: (2022) -
The placement of foot-mounted IMU sensors does affect the accuracy of spatial parameters during regular walking
por: Küderle, Arne, et al.
Publicado: (2022) -
Does the Position of Foot-Mounted IMU Sensors Influence the Accuracy of Spatio-Temporal Parameters in Endurance Running?
por: Zrenner, Markus, et al.
Publicado: (2020)