… (DBN) for feature extraction, although these networks may not fully leverage the local … (cricket,
tennis, and volley ball), broadening the scope of the proposed device for diverse sports …

… Therefore, we aimed to use deep learning … in activity recognition; however, they are unable
to capture time dependencies. Recurrent neural networks are a type of neural network that …

… we found used a deep convolutional neural network based on … be to leverage the current
advances in image recognition to classify … Activity recognition in beach volleyball using a Deep …

… ], skateboarding [12], or volleyball [13]. Among the reviewed articles, ref. [14] studied Human
… (CNNs) are very popular because “CNN-based models are able to extract and leverage …

… that are driven by automatic action recognition, that contribute … Moreover, scholars like (84)
leverage the Catapult system to … the deep learning model for action recognition recognized …

… activity recognition. In paper [16], Silvia Vinyes Mora and William J. Knottenbelt, proposed
a method for action recognition in a tennis sports video deep learning … on beach volleyball …

… advance in leveraging deep neural networks for accurate … system using deep learning to
accurately classify sport activities (… on sports and human activity recognition, focusing on sensor-…

… relied on computer vision as well as deep learning in the process of … As for relying on the
deep learning techniques for detecting the … Activity recognition in beach volleyball using a Deep …

… A common approach across multiple domains is to leverage … approach with deep convolutional
neural networks for gait … Maeda, “Application of cnn for human activity recognition with fft …

… as deep learning provide only a classification of activities … offline and therefore it can leverage
high performance architectures… and activity recognition, we presents the action recognition …