AIMC Topic: Sports
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Machine Learning and Deep Neural Network Architectures for 3D Motion Capture Datasets.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2020
Biomechanical movement data are highly correlated multivariate time-series for which a variety of machine learning and deep neural network classification techniques are possible. For image classification, convolutional neural networks have reshaped t...
Analyzing Complex Dynamical Systems: Artificial Neural Networks Contribute New Insight Concerning Optimal Athletic Techniques and Tactics.
Research quarterly for exercise and sport
Aug 9, 2016
Step aside, Olympics: here's the Cybathlon.
Nature
Aug 4, 2016
VO2 estimation using 6-axis motion sensor with sports activity classification.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Aug 1, 2016
In this paper, we focus on oxygen consumption (VO2) estimation using 6-axis motion sensor (3-axis accelerometer and 3-axis gyroscope) for people playing sports with diverse intensities. The VO2 estimated with a small motion sensor can be used to calc...
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