Activity recognition in beach volleyball using a Deep Convolutional Neural Network
By Thomas Kautz, Benjamin H. Groh, Julius Hannink, Ulf Jensen, Holger Strubberg, B. Eskofier. 2017
151 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Biomedical Engineering, Orthopedics and Sports Medicine
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In Artificial Intelligence
In Biomedical Engineering
Citations in the corpus
- Deep Learning for IoT Big Data and Streaming Analytics: A Survey (2017, neutral): “[157] investigated players’ activity recognition in volleyball.”
- Deep Learning for Computer Vision: A Brief Review (2018, methodology): “In [90] the authors successfully employ a CNN-based approach for activity recognition in beach volleyball, similarly to the approach of [91] for event classification from large-scale video datasets; in [92], a CNN model is used for activity recognition based on smartphone sensor data.”
- Current Approaches to the Use of Artificial Intelligence for Injury Risk Assessment and Performance Prediction in Team Sports: a Systematic Review (2019, methodology): “In beach volleyball players, the monitoring data from wearable sensors has been used to model the injury risk via artificial neural network [68].”