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Human Activity Recognition Using LSTM-RNN Deep Neural Network Architecture
Using raw sensor data to model and train networks for Human Activity Recognition can be used in many different applications, from fitness tracking to safety monitoring applications.
Human Activity Recognition Using Visual Object Detection
Visual Human Activity Recognition (HAR) and data fusion with other sensors can help us at tracking the behavior and activity of underground miners with little obstruction.
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