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Video2IMU: Realistic IMU features and signals from videos
In our work, we propose the use of neural networks for the generation of realistic signals and features using human activity monocular videos.
Computational Graph Approach for Detection of Composite Human Activities
The resulting model learns 1) a representation of the atomic activities of a sport and 2) to classify physical activities as compositions of the atomic activities.
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