From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning

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...

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Bibliographic Details
Main Authors: Maike Stoeve, Dominik Schuldhaus, Axel Gamp, Constantin Zwick, Bjoern M. Eskofier
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
data analysis
activity recognition
sensor-signal-based machine learning
deep learning
wearable sensors
sport
Online Access:https://www.mdpi.com/1424-8220/21/9/3071

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https://www.mdpi.com/1424-8220/21/9/3071

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