Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standing, Sitting, Stairsup, StairsDown, Walking and Cycling.
machine-learning scikit-learn gyroscope accelerometer rnn human-activity-recognition sensor-data keras-neural-networks lstm-neural-networks downsampling-data
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Updated
Jun 22, 2017 - Python